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Factors involved in hillslope geometry and soil erosion are still under discussion by the scientific community- and one of these factors is microtopography. In this research, the effect of surface roughness (SR) on the soil loss was investigated for different complex hillslope (CHS) systems in terms of plan shapes (convergent, parallel, and divergent) and profile curvatures (convex, concave, and straight), considering representative surface conditions of the arid steep slope region of Tahoneh Watershed, located close to the city of Yazd, Iran. The current research was conducted under laboratory conditions on three different soil types with an SR of 0.015, 0.016, and 0.018 and using a rainfall simulator under a rainfall intensity of 26 ± 3 mm/h with a duration of 15 min. The results showed that the soil loss, as well as the sediment’s arrival time into the outlet of each complex hillslope, varied with SR changes. S, oil loss decreased in each CHS, and the sediment’s arrival time into the outlet was delayed with increased SR in the soil types. A significant difference (F = 51.648, P ≤ 0.001) was obtained in the interaction between the SR and CHSs on the soil loss, as well as the sediment’s arrival time into the outlet. The results of this study using these specific soils indicate that the highest soil loss reduction due to the SR can be observed in straight parallel hillslopes. We conclude that our results can give new key insights about complex geomorphological processes related to sediment mobilization at the pedon scale in arid watersheds to mitigate the negative impacts of human activities on non-straight parallel hillslopes.
Ava Mombini; Nosratollah Amanian; Ali Talebi; Mahboobeh Kiani-Harchegani; Jesús Rodrigo-Comino. Surface roughness effects on soil loss rate in complex hillslopes under laboratory conditions. CATENA 2021, 206, 105503 .
AMA StyleAva Mombini, Nosratollah Amanian, Ali Talebi, Mahboobeh Kiani-Harchegani, Jesús Rodrigo-Comino. Surface roughness effects on soil loss rate in complex hillslopes under laboratory conditions. CATENA. 2021; 206 ():105503.
Chicago/Turabian StyleAva Mombini; Nosratollah Amanian; Ali Talebi; Mahboobeh Kiani-Harchegani; Jesús Rodrigo-Comino. 2021. "Surface roughness effects on soil loss rate in complex hillslopes under laboratory conditions." CATENA 206, no. : 105503.
Understanding of rainfall-runoff processes in arid and semi-arid regions, such as runoff discharge (Q) and sediment concentration (SC) in hillslopes with different geometries, can offer better insights into hydrological processes. Consequently, considering intra- and inter-storm dynamics of Q and SC during consecutive storms (CSs), on hillslopes of various geometric shapes, has not been accurately and scientifically studied. The current research was planned to study the response of the sheet erosion components. The experiments were performed on four complex hillslopes (CHs) including straight-parallel, straight-convergent, concave-convergent, and convex-convergent under five CSs with rainfall intensity of 45 mm/h on a sandy loam soil in a 1 × 2 m2 plot under laboratory conditions. The results showed that the individual effects of the CSs and CHs and their interactive effects on Q and SC were significant (P ≤ 0.00). However, Q was more influenced by the CSs (ηp2 = 0.65) and SC was more affected by the CHs (ηp2 = 0.77). Moreover, analysis of the hydrographs (HGs), sedigraphs (SGs), and sediment rating loops (SRLs) observed in four CHs during five CSs indicated the diversity in the behavior of the SC (from 2.32 to 68.68 g/L) in comparison with variations in Q (from 14.68 to 38.38 mL/s).
Mahboobeh Kiani-Harchegani; Ali Talebi; Sajad Kiani. Analysis of sheet erosion component variability on four complex hillslopes and consecutive storms under laboratory conditions. Water Policy 2021, 52, 905 -915.
AMA StyleMahboobeh Kiani-Harchegani, Ali Talebi, Sajad Kiani. Analysis of sheet erosion component variability on four complex hillslopes and consecutive storms under laboratory conditions. Water Policy. 2021; 52 (4):905-915.
Chicago/Turabian StyleMahboobeh Kiani-Harchegani; Ali Talebi; Sajad Kiani. 2021. "Analysis of sheet erosion component variability on four complex hillslopes and consecutive storms under laboratory conditions." Water Policy 52, no. 4: 905-915.
El Índice de Pobreza Hídrica (WPI) se considera, en general, una herramienta simple y clara para evaluar los efectos de factores combinados sobre la escasez de agua y la tensión de los recursos hídricos. En esta investigación, intentamos centrarnos en las problemáticas hídricas en las cabeceras de montaña de la cuenca de Karoon en Irán para analizar el estado de los recursos hídricos. Para este propósito, los datos requeridos se obtuvieron en primer lugar mediante la preparación de un informe de la Autoridad del Agua, la parte Agrícola y la Organización de Agua y Saneamiento del Condado de Borujerd. Luego, se estimó el valor del WPI a escala de subcuenca del río Karoon considerando como recurso la posibilidad de acceso, capacidad socioeconómica, usos y criterios de calidad ambiental. Los resultados de esta investigación indicaron un rango de variación entre 6,6 y 18,2, obteniendo el punto más bajo por su condición ambiental actual y el punto más alto por el fácil acceso. Los valores más altos de cada criterio muestran las mejores condiciones que conducen a una menor pobreza hídrica en esa subcuenca. En general, el valor de WPI es aproximadamente 67,65, según la clasificación del centro de Ecología e Hidrología de Wallingford, esta subcuenca se ubica en un rango de pobreza hídrica de baja a moderada. Dado el carácter multidimensional del WPI y considerando todos los factores que afectan a la disponibilidad o falta de recursos hídricos, así como las implicaciones económicas y sociales para la población dedicada, principalmente a la agricultura y la ganadería, podemos concluir que este índice puede ser considerado como una herramienta útil para esta región priorizar las áreas críticas y un paso efectivo para el desarrollo y uso óptimo de sus recursos hídricos.
Mohammadreza Goodarzi; Rabi H. Mohtar; Mahboobeh Kiani-Harchegani; Alireza Faraji; Faeze Mankavi; Jesús Rodrigo-Comino. Evaluación del índice de pobreza hídrica (WPI) en la cuenca de Borujerd-Dorood (Irán) para reforzar los planes de gestión del territorio. Pirineos 2021, 176, e064 .
AMA StyleMohammadreza Goodarzi, Rabi H. Mohtar, Mahboobeh Kiani-Harchegani, Alireza Faraji, Faeze Mankavi, Jesús Rodrigo-Comino. Evaluación del índice de pobreza hídrica (WPI) en la cuenca de Borujerd-Dorood (Irán) para reforzar los planes de gestión del territorio. Pirineos. 2021; 176 ():e064.
Chicago/Turabian StyleMohammadreza Goodarzi; Rabi H. Mohtar; Mahboobeh Kiani-Harchegani; Alireza Faraji; Faeze Mankavi; Jesús Rodrigo-Comino. 2021. "Evaluación del índice de pobreza hídrica (WPI) en la cuenca de Borujerd-Dorood (Irán) para reforzar los planes de gestión del territorio." Pirineos 176, no. : e064.
In recent years, the occurrence of floods is one of the most important challenges facing in Hamadan city. In the absence/inefficiency of urban drainage systems, rainwater harvesting (RWH) systems as low-impact development (LID) methods can be considered as a measure to reduce the floods. In this study, three scenarios concerning the RWH from the roof surfaces are studied to evaluate the type of the harvested water on reducing flooding. In the first scenario, which indicates the current situation in the studied area, it is indicated that there is no harvest of the roof surfaces in the studied area. The second scenario is about the use of water harvested from the roof surfaces for household purposes. The third scenario also refers to the use of harvested water for irrigation of gardens. The simulation results of these three scenarios using the Soil Conservation Service (SCS) method in the Hydrologic Modeling System (HEC-HMS) model reveal that if the second scenario is implemented, the runoff volume decreases from 28 to 12% for the return period from 2 to 100 years. However, in the third scenario, this reduction in runoff volume will be 48 and 27% for return periods of 2 to 100 years, respectively. Therefore, the results of this study indicate that the use of harvested water can also affect the reduction on runoff volume.
Sarita Gajbhiye Meshram; Ali Reza Ilderomi; Mehdi Sepehri; Farshid Jahanbakhshi; Mahboobeh Kiani-Harchegani; Afshin Ghahramani; Jesús Rodrigo-Comino. Impact of roof rain water harvesting of runoff capture and household consumption. Environmental Science and Pollution Research 2021, 1 -12.
AMA StyleSarita Gajbhiye Meshram, Ali Reza Ilderomi, Mehdi Sepehri, Farshid Jahanbakhshi, Mahboobeh Kiani-Harchegani, Afshin Ghahramani, Jesús Rodrigo-Comino. Impact of roof rain water harvesting of runoff capture and household consumption. Environmental Science and Pollution Research. 2021; ():1-12.
Chicago/Turabian StyleSarita Gajbhiye Meshram; Ali Reza Ilderomi; Mehdi Sepehri; Farshid Jahanbakhshi; Mahboobeh Kiani-Harchegani; Afshin Ghahramani; Jesús Rodrigo-Comino. 2021. "Impact of roof rain water harvesting of runoff capture and household consumption." Environmental Science and Pollution Research , no. : 1-12.
This paper aims to test different methods used for assessing the indices of sediment yield to identify hotspots and rank sediment yield hotspots. This process includes the assessment of the Entropy Weighting (EW), Fractal Dimension (FD), Slope Length (SL) gradient, and Sediment Connectivity (SC) methods. The indices at different sub-catchment levels were applied in the Ilanlu catchment (Iran) and organized based on five different levels of sediment hazard classes. To assess the performance of sediment hazard mapping, the superimposing methods were used and assessed by the Erosion Potential Model (EPM). The superimposing method showed that 8, 10, 4 and 9 sub-catchments based on the degree of susceptibility obtain the highest results considering the results of FD, EW, SL and SC with an output of EPM model, respectively. The results show that EW and SC can achieve greater performance than FD and SL methods in identifying sediment production hotspots.
Mehdi Sepehri; Afshin Ghahramani; Mahboobeh Kiani-Harchegani; Ali Reza Ildoromi; Ali Talebi; Jesús Rodrigo-Comino. Assessment of drainage network analysis methods to rank sediment yield hotspots. Hydrological Sciences Journal 2021, 66, 904 -918.
AMA StyleMehdi Sepehri, Afshin Ghahramani, Mahboobeh Kiani-Harchegani, Ali Reza Ildoromi, Ali Talebi, Jesús Rodrigo-Comino. Assessment of drainage network analysis methods to rank sediment yield hotspots. Hydrological Sciences Journal. 2021; 66 (5):904-918.
Chicago/Turabian StyleMehdi Sepehri; Afshin Ghahramani; Mahboobeh Kiani-Harchegani; Ali Reza Ildoromi; Ali Talebi; Jesús Rodrigo-Comino. 2021. "Assessment of drainage network analysis methods to rank sediment yield hotspots." Hydrological Sciences Journal 66, no. 5: 904-918.
Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics that can help identify steps needed to enhance the research conducted in this field. Therefore, a detailed bibliometric analysis, including investigation of collaboration networks and citation patterns, should be conducted. The updated version of the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database contains information about citation characteristics and publication type. Here, we investigated the impact of the number of authors, the publication type and the selected journal on the number of citations. Generalized boosted regression tree (BRT) modelling was used to evaluate the most relevant variables related to soil erosion modelling. Additionally, bibliometric networks were analysed and visualized. This study revealed that the selection of the soil erosion model has the largest impact on the number of publication citations, followed by the modelling scale and the publication's CiteScore. Some of the other GASEMT database attributes such as model calibration and validation have negligible influence on the number of citations according to the BRT model. Although it is true that studies that conduct calibration, on average, received around 30% more citations, than studies where calibration was not performed. Moreover, the bibliographic coupling and citation networks show a clear continental pattern, although the co-authorship network does not show the same characteristics. Therefore, soil erosion modellers should conduct even more comprehensive review of past studies and focus not just on the research conducted in the same country or continent. Moreover, when evaluating soil erosion models, an additional focus should be given to field measurements, model calibration, performance assessment and uncertainty of modelling results. The results of this study indicate that these GASEMT database attributes had smaller impact on the number of citations, according to the BRT model, than anticipated, which could suggest that these attributes should be given additional attention by the soil erosion modelling community. This study provides a kind of bibliographic benchmark for soil erosion modelling research papers as modellers can estimate the influence of their paper.
Nejc Bezak; Matjaž Mikoš; Pasquale Borrelli; Christine Alewell; Pablo Alvarez; Jamil Alexandre Ayach Anache; Jantiene Baartman; Cristiano Ballabio; Marcella Biddoccu; Artemi Cerdà; Devraj Chalise; Songchao Chen; Walter Chen; Anna Maria De Girolamo; Gizaw Desta Gessesse; Detlef Deumlich; Nazzareno Diodato; Nikolaos Efthimiou; Gunay Erpul; Peter Fiener; Michele Freppaz; Francesco Gentile; Andreas Gericke; Nigussie Haregeweyn; Bifeng Hu; Amelie Jeanneau; Konstantinos Kaffas; Mahboobeh Kiani-Harchegani; Ivan Lizaga Villuendas; Changjia Li; Luigi Lombardo; Manuel López-Vicente; Manuel Esteban Lucas-Borja; Michael Maerker; Chiyuan Miao; Sirio Modugno; Markus Möller; Victoria Naipal; Mark Nearing; Stephen Owusu; Dinesh Panday; Edouard Patault; Cristian Valeriu Patriche; Laura Poggio; Raquel Portes; Laura Quijano; Mohammad Reza Rahdari; Mohammed Renima; Giovanni Francesco Ricci; Jesús Rodrigo-Comino; Sergio Saia; Aliakbar Nazari Samani; Calogero Schillaci; Vasileios Syrris; Hyuck Soo Kim; Diogo Noses Spinola; Paulo Tarso Oliveira; Hongfen Teng; Resham Thapa; Konstantinos Vantas; Diana Vieira; Jae E. Yang; Shuiqing Yin; Demetrio Antonio Zema; Guangju Zhao; Panos Panagos. Soil erosion modelling: A bibliometric analysis. Environmental Research 2021, 197, 111087 .
AMA StyleNejc Bezak, Matjaž Mikoš, Pasquale Borrelli, Christine Alewell, Pablo Alvarez, Jamil Alexandre Ayach Anache, Jantiene Baartman, Cristiano Ballabio, Marcella Biddoccu, Artemi Cerdà, Devraj Chalise, Songchao Chen, Walter Chen, Anna Maria De Girolamo, Gizaw Desta Gessesse, Detlef Deumlich, Nazzareno Diodato, Nikolaos Efthimiou, Gunay Erpul, Peter Fiener, Michele Freppaz, Francesco Gentile, Andreas Gericke, Nigussie Haregeweyn, Bifeng Hu, Amelie Jeanneau, Konstantinos Kaffas, Mahboobeh Kiani-Harchegani, Ivan Lizaga Villuendas, Changjia Li, Luigi Lombardo, Manuel López-Vicente, Manuel Esteban Lucas-Borja, Michael Maerker, Chiyuan Miao, Sirio Modugno, Markus Möller, Victoria Naipal, Mark Nearing, Stephen Owusu, Dinesh Panday, Edouard Patault, Cristian Valeriu Patriche, Laura Poggio, Raquel Portes, Laura Quijano, Mohammad Reza Rahdari, Mohammed Renima, Giovanni Francesco Ricci, Jesús Rodrigo-Comino, Sergio Saia, Aliakbar Nazari Samani, Calogero Schillaci, Vasileios Syrris, Hyuck Soo Kim, Diogo Noses Spinola, Paulo Tarso Oliveira, Hongfen Teng, Resham Thapa, Konstantinos Vantas, Diana Vieira, Jae E. Yang, Shuiqing Yin, Demetrio Antonio Zema, Guangju Zhao, Panos Panagos. Soil erosion modelling: A bibliometric analysis. Environmental Research. 2021; 197 ():111087.
Chicago/Turabian StyleNejc Bezak; Matjaž Mikoš; Pasquale Borrelli; Christine Alewell; Pablo Alvarez; Jamil Alexandre Ayach Anache; Jantiene Baartman; Cristiano Ballabio; Marcella Biddoccu; Artemi Cerdà; Devraj Chalise; Songchao Chen; Walter Chen; Anna Maria De Girolamo; Gizaw Desta Gessesse; Detlef Deumlich; Nazzareno Diodato; Nikolaos Efthimiou; Gunay Erpul; Peter Fiener; Michele Freppaz; Francesco Gentile; Andreas Gericke; Nigussie Haregeweyn; Bifeng Hu; Amelie Jeanneau; Konstantinos Kaffas; Mahboobeh Kiani-Harchegani; Ivan Lizaga Villuendas; Changjia Li; Luigi Lombardo; Manuel López-Vicente; Manuel Esteban Lucas-Borja; Michael Maerker; Chiyuan Miao; Sirio Modugno; Markus Möller; Victoria Naipal; Mark Nearing; Stephen Owusu; Dinesh Panday; Edouard Patault; Cristian Valeriu Patriche; Laura Poggio; Raquel Portes; Laura Quijano; Mohammad Reza Rahdari; Mohammed Renima; Giovanni Francesco Ricci; Jesús Rodrigo-Comino; Sergio Saia; Aliakbar Nazari Samani; Calogero Schillaci; Vasileios Syrris; Hyuck Soo Kim; Diogo Noses Spinola; Paulo Tarso Oliveira; Hongfen Teng; Resham Thapa; Konstantinos Vantas; Diana Vieira; Jae E. Yang; Shuiqing Yin; Demetrio Antonio Zema; Guangju Zhao; Panos Panagos. 2021. "Soil erosion modelling: A bibliometric analysis." Environmental Research 197, no. : 111087.
To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which models are primarily applied, (iii) the regions which remain unaddressed and why, and (iv) how frequently studies are conducted to validate/evaluate model outcomes relative to measured data. To perform this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. The resulting database, named ‘Global Applications of Soil Erosion Modelling Tracker (GASEMT)’, includes 3030 individual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471 articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluated and transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insights into the state-of-the-art of soil- erosion models and model applications worldwide. This database intends to support the upcoming country-based United Nations global soil-erosion assessment in addition to helping to inform soil erosion research priorities by building a foundation for future targeted, in-depth analyses. GASEMT is an open-source database available to the entire user-community to develop research, rectify errors, and make future expansions.
Pasquale Borrelli; Christine Alewell; Pablo Alvarez; Jamil Alexandre Ayach Anache; Jantiene Baartman; Cristiano Ballabio; Nejc Bezak; Marcella Biddoccu; Artemi Cerdà; Devraj Chalise; Songchao Chen; Walter Chen; Anna Maria De Girolamo; Gizaw Desta Gessesse; Detlef Deumlich; Nazzareno Diodato; Nikolaos Efthimiou; Gunay Erpul; Peter Fiener; Michele Freppaz; Francesco Gentile; Andreas Gericke; Nigussie Haregeweyn; Bifeng Hu; Amelie Jeanneau; Konstantinos Kaffas; Mahboobeh Kiani-Harchegani; Ivan Lizaga Villuendas; Changjia Li; Luigi Lombardo; Manuel López-Vicente; Manuel Esteban Lucas-Borja; Michael Märker; Francis Matthews; Chiyuan Miao; Matjaž Mikoš; Sirio Modugno; Markus Möller; Victoria Naipal; Mark Nearing; Stephen Owusu; Dinesh Panday; Edouard Patault; Cristian Valeriu Patriche; Laura Poggio; Raquel Portes; Laura Quijano; Mohammad Reza Rahdari; Mohammed Renima; Giovanni Francesco Ricci; Jesús Rodrigo-Comino; Sergio Saia; Aliakbar Nazari Samani; Calogero Schillaci; Vasileios Syrris; Hyuck Soo Kim; Diogo Noses Spinola; Paulo Tarso Oliveira; Hongfen Teng; Resham Thapa; Konstantinos Vantas; Diana Vieira; Jae E. Yang; Shuiqing Yin; Demetrio Antonio Zema; Guangju Zhao; Panos Panagos. Soil erosion modelling: A global review and statistical analysis. Science of The Total Environment 2021, 780, 146494 .
AMA StylePasquale Borrelli, Christine Alewell, Pablo Alvarez, Jamil Alexandre Ayach Anache, Jantiene Baartman, Cristiano Ballabio, Nejc Bezak, Marcella Biddoccu, Artemi Cerdà, Devraj Chalise, Songchao Chen, Walter Chen, Anna Maria De Girolamo, Gizaw Desta Gessesse, Detlef Deumlich, Nazzareno Diodato, Nikolaos Efthimiou, Gunay Erpul, Peter Fiener, Michele Freppaz, Francesco Gentile, Andreas Gericke, Nigussie Haregeweyn, Bifeng Hu, Amelie Jeanneau, Konstantinos Kaffas, Mahboobeh Kiani-Harchegani, Ivan Lizaga Villuendas, Changjia Li, Luigi Lombardo, Manuel López-Vicente, Manuel Esteban Lucas-Borja, Michael Märker, Francis Matthews, Chiyuan Miao, Matjaž Mikoš, Sirio Modugno, Markus Möller, Victoria Naipal, Mark Nearing, Stephen Owusu, Dinesh Panday, Edouard Patault, Cristian Valeriu Patriche, Laura Poggio, Raquel Portes, Laura Quijano, Mohammad Reza Rahdari, Mohammed Renima, Giovanni Francesco Ricci, Jesús Rodrigo-Comino, Sergio Saia, Aliakbar Nazari Samani, Calogero Schillaci, Vasileios Syrris, Hyuck Soo Kim, Diogo Noses Spinola, Paulo Tarso Oliveira, Hongfen Teng, Resham Thapa, Konstantinos Vantas, Diana Vieira, Jae E. Yang, Shuiqing Yin, Demetrio Antonio Zema, Guangju Zhao, Panos Panagos. Soil erosion modelling: A global review and statistical analysis. Science of The Total Environment. 2021; 780 ():146494.
Chicago/Turabian StylePasquale Borrelli; Christine Alewell; Pablo Alvarez; Jamil Alexandre Ayach Anache; Jantiene Baartman; Cristiano Ballabio; Nejc Bezak; Marcella Biddoccu; Artemi Cerdà; Devraj Chalise; Songchao Chen; Walter Chen; Anna Maria De Girolamo; Gizaw Desta Gessesse; Detlef Deumlich; Nazzareno Diodato; Nikolaos Efthimiou; Gunay Erpul; Peter Fiener; Michele Freppaz; Francesco Gentile; Andreas Gericke; Nigussie Haregeweyn; Bifeng Hu; Amelie Jeanneau; Konstantinos Kaffas; Mahboobeh Kiani-Harchegani; Ivan Lizaga Villuendas; Changjia Li; Luigi Lombardo; Manuel López-Vicente; Manuel Esteban Lucas-Borja; Michael Märker; Francis Matthews; Chiyuan Miao; Matjaž Mikoš; Sirio Modugno; Markus Möller; Victoria Naipal; Mark Nearing; Stephen Owusu; Dinesh Panday; Edouard Patault; Cristian Valeriu Patriche; Laura Poggio; Raquel Portes; Laura Quijano; Mohammad Reza Rahdari; Mohammed Renima; Giovanni Francesco Ricci; Jesús Rodrigo-Comino; Sergio Saia; Aliakbar Nazari Samani; Calogero Schillaci; Vasileios Syrris; Hyuck Soo Kim; Diogo Noses Spinola; Paulo Tarso Oliveira; Hongfen Teng; Resham Thapa; Konstantinos Vantas; Diana Vieira; Jae E. Yang; Shuiqing Yin; Demetrio Antonio Zema; Guangju Zhao; Panos Panagos. 2021. "Soil erosion modelling: A global review and statistical analysis." Science of The Total Environment 780, no. : 146494.
Due to the high costs associated with the control of soil erosion, the precise selection of practical techniques towards this end is a prerequisite for sustainable land management. For the proper application of anti-erosion measures, a good knowledge of the behavior of soil erosion and hydrological properties is required. Research has indicated that biochar (BC) and polyacrylamide (PAM) are important soil amendments to enhance the physical and hydrological characteristics of soil. However, little is known about the response and mechanisms underlying the wearing away of Marl and Loess erosion-prone soils treated with individually and with a combination of BC and PAM. Therefore, we tested the effectiveness of these anti-erosion techniques on the variability of 1) hydrological components (i.e., time to runoff, the runoff coefficient, and infiltration), 2) runoff quality components (i.e., pH and electrical conductivity (EC)), and 3) erosion components (i.e., upward-splash, downward-splash, net-splash erosion, soil loss, and sediment concentration) at two locations with the Marl and Loess soils under rainfall simulation conditions. The study treatments consisted of control (200 ml water), BC (800 g m−2), PAM (2 g m−2), and BC (800 g m−2) + PAM (2 g m−2). The treatments were sprayed uniformly over the small plots (0.3 × 0.5 × 0.5 m in dimension; 0.25 m2 in area) with a slope of 20% using three replicates. Rainfall with an intensity of 50 mm h−1 for 0.5 h was applied. The results showed that (a) the use of PAM alone delayed the time to runoff with a rate of 41.4% compared to the control treatment in the Marl soil, and all treatments delayed the time to runoff for the Loess soil (BC = 37.1% and PAM = BC + PAM = 12.9%); (b) among the study treatments, PAM had the greatest effect as it decreased the runoff coefficient by 2.47% and 13.67%, and improved infiltration by 0.02% and 0.13% in Marl and Loess soils, respectively; (c) BC and BC + PAM increased the pH values of the runoff whereas the application of PAM partially reduced the pH compared to the control plot in both the soils studied; (d) the application of BC and BC + PAM significantly (p < 0.05) increased the EC of runoff released from both tested soils. In contrast, PAM had the least influence on the EC of the runoff compared to the control condition; (e) the maximum effect on the reduction of soil loss was attributed to BC for Marl and Loess soils with rates of −14.07% and −83.21%, respectively. Additionally, the maximum benefit of the reduction in sediment concentration was attributed to PAM (-14.87%) and BC (−78.35%), respectively, in Marl and Loess soils; (f) all treatments reduced the upward-splash, downward-splash, and the net-splash erosion for both soils studied in the range of −13.69% (BC + PAM in Loess soil) to −73.68% (BC in Marl soil) in comparison with the control treatment.
Seyed Hamidreza Sadeghi; Zeinab Hazbavi; Mahboobeh Kiani-Harchegani; Habibollah Younesi; Padidehsadat Sadeghi; Rafael Angulo-Jaramillo; Laurent Lassabatere. The hydrologic behavior of Loess and Marl soils in response to biochar and polyacrylamide mulching under laboratorial rainfall simulation conditions. Journal of Hydrology 2020, 592, 125620 .
AMA StyleSeyed Hamidreza Sadeghi, Zeinab Hazbavi, Mahboobeh Kiani-Harchegani, Habibollah Younesi, Padidehsadat Sadeghi, Rafael Angulo-Jaramillo, Laurent Lassabatere. The hydrologic behavior of Loess and Marl soils in response to biochar and polyacrylamide mulching under laboratorial rainfall simulation conditions. Journal of Hydrology. 2020; 592 ():125620.
Chicago/Turabian StyleSeyed Hamidreza Sadeghi; Zeinab Hazbavi; Mahboobeh Kiani-Harchegani; Habibollah Younesi; Padidehsadat Sadeghi; Rafael Angulo-Jaramillo; Laurent Lassabatere. 2020. "The hydrologic behavior of Loess and Marl soils in response to biochar and polyacrylamide mulching under laboratorial rainfall simulation conditions." Journal of Hydrology 592, no. : 125620.
Soil organic carbon (SOC) has a vital role in the physical, chemical and biological behavior of the soil, and therefore prediction of the amount and mapping spatial distribution of SOC is necessary for sustainable soil management. However, the relationship between SOC and remotely sensed and easily accessible variables have been rarely reported. The main objective of the present study is, therefore, to estimate SOC using the remote sensing of satellite images as well as some field variables for the Shazand Watershed, Iran. Towards that, 140 soil samples were taken from the top 30-cm of the soil from homogeneous units representing an area >1 km2 to measure SOC. The potential relationship between SOC and some remote sensing-based indices including Enhanced Vegetation Index (EVI), Difference vegetation index (DVI), Optimized Soil Adjusted Vegetation Index (OSAVI), Soil Adjusted Vegetation Index (SAVI), Modified Soil Adjusted Vegetation Index (MSAVI), Normalized Difference Vegetation Index (NDVI), Coloration Index (CI), Normalized Difference Moisture Index (NDMI), and some topographical and soil texture factors viz. elevation, slope, aspect, Topographical Wetness Index (TWI), clay and silt content of soil were assessed for the Shazand Watershed. In this regard, the relationships between SOC and environmental variables were analyzed using Ordinary Least Square (OLS), Geographically Weighted Regression (GWR), and Random Forest (RF) analyses. The results showed that none of the models indicated a good predictive performance due to low R2. However, CI was found as a better predictor (R2 = 0.258 for GWR and R2 = 0.040 for OLS; p-value <0.05) for SOC in comparison with other indices. Accordingly, it was concluded that the remote sensing-based and environmental indices did not have enough potential for estimating SOC to generate managerial plans for the study watershed. The low SOC content (0.63 ± 0.29%) and low variation across the Shazand Watershed were found as determinant factors on the low fitness of the study relationships. Further studies are therefore needed to find out reliable predictive models for SOC for the conditions under considerations.
Fahimeh Mirchooli; Mahboobeh Kiani-Harchegani; Abdulvahed Khaledi Darvishan; Samereh Falahatkar; Seyed Hamidreza Sadeghi. Spatial distribution dependency of soil organic carbon content to important environmental variables. Ecological Indicators 2020, 116, 106473 .
AMA StyleFahimeh Mirchooli, Mahboobeh Kiani-Harchegani, Abdulvahed Khaledi Darvishan, Samereh Falahatkar, Seyed Hamidreza Sadeghi. Spatial distribution dependency of soil organic carbon content to important environmental variables. Ecological Indicators. 2020; 116 ():106473.
Chicago/Turabian StyleFahimeh Mirchooli; Mahboobeh Kiani-Harchegani; Abdulvahed Khaledi Darvishan; Samereh Falahatkar; Seyed Hamidreza Sadeghi. 2020. "Spatial distribution dependency of soil organic carbon content to important environmental variables." Ecological Indicators 116, no. : 106473.
Controlling soil erosion, especially in its initial stages, is greatly important in natural resources management. Consequently, the present research aimed to control splash and interrill erosion in two soil types (marl at Marzan-Abad and loess at Maraveh-Tapeh sites in northern Iran) using biochar (BC) and polyacrylamide (PAM). We established 0.5 × 0.5-m plots and applied BC (800 g·m−2), PAM (2 g·m−2), and BC + PAM (800 g·m−2 + 2 g·m−2) with control plots and three replications on a slope of ~25%. We used a rainfall simulator to achieve rainfall intensity of 50 mm·h−1 with 30-min duration in the experiments. Analysis of the results obtained from the variables of splash and interrill erosion during the rainfall-runoff process showed that the PAM significantly (p ≤ 0.05) increased all study variables of splash erosion. For interrill erosion, it reduced the variables of soil loss and sediment concentration. However, the difference was not significant (p > 0.05) compared to the control plot and runoff from the two treatment sites increased relative to that from the control plots. The plot treated with BC showed decreased runoff volume, runoff coefficient, and soil loss compared to the control plot at the Marzan-Abad site, but the differences were not statistically significant (p > 0.05). However, the plot in which loess soil was treated with BC at the Maraveh-Tapeh site exhibited considerably (p ≤ 0.05) increased runoff and soil loss compared to the control plot. The entire results verified a wide range for benefit reduction of study treatments from +25.09 to −37.49% for runoff and from +38.59 to −231% for soil loss with more effectiveness for Maraveh-Tapeh Loess soil as well as combined application of BC and PAM. These findings contribute to improved understanding of proper application of soil amendments to control runoff and soil loss in loam and loess soils.
Seyed Hamidreza Sadeghi; Mahboobeh Kiani-Harchegani; Zeinab Hazbavi; Padidehsadat Sadeghi; Rafael Angulo-Jaramillo; Laurent Lassabatere; Habibollah Younesi. Field measurement of effects of individual and combined application of biochar and polyacrylamide on erosion variables in loess and marl soils. Science of The Total Environment 2020, 728, 138866 .
AMA StyleSeyed Hamidreza Sadeghi, Mahboobeh Kiani-Harchegani, Zeinab Hazbavi, Padidehsadat Sadeghi, Rafael Angulo-Jaramillo, Laurent Lassabatere, Habibollah Younesi. Field measurement of effects of individual and combined application of biochar and polyacrylamide on erosion variables in loess and marl soils. Science of The Total Environment. 2020; 728 ():138866.
Chicago/Turabian StyleSeyed Hamidreza Sadeghi; Mahboobeh Kiani-Harchegani; Zeinab Hazbavi; Padidehsadat Sadeghi; Rafael Angulo-Jaramillo; Laurent Lassabatere; Habibollah Younesi. 2020. "Field measurement of effects of individual and combined application of biochar and polyacrylamide on erosion variables in loess and marl soils." Science of The Total Environment 728, no. : 138866.
The geometry of hillslopes (plan and profile) affects soil erosion under rainfall-runoff processes. This issue comprises of several factors, which must be identified and assessed if efficient control measures are to be designed. The main aim of the current research was to investigate the impact of surface Roughness Coefficients (RCs) and Complex Hillslopes (CHs) on runoff variables viz. time of generation, time of concentration, and peak discharge value. A total of 81 experiments were conducted with a rainfall intensity of 7 L min−1 on three types of soils with different RCs (i.e., low = 0.015, medium = 0.016, and high = 0.018) and CHs (i.e., profile curvature and plan shape). An inclination of 20% was used for three replications. The results indicate a significant difference (p-value ≤ 0.001) in the above-mentioned runoff variables under different RCs and CHs. Our investigation of the combined effects of RCs and CHs on the runoff variables shows that the plan and profile impacts are consistent with a variation in RC. This can implicate that at low RC, the effect of the plan shape (i.e., convergent) on runoff variables increases but at high RC, the impact of the profile curvature overcomes the plan shapes and the profile curvature’s changes become the criteria for changing the behavior of the runoff variables. The lowest mean values of runoff generation and time of concentration were obtained in the convex-convergent and the convex-divergent at 1.15 min and 2.68 min, respectively, for the soil with an RC of 0.015. The highest mean of peak discharge was obtained in the concave-divergent CH in the soil with an RC of 0.018. We conclude that these results can be useful in order to design planned soil erosion control measures where the soil roughness and slope morphology play a key role in activating runoff generation.
Masoud Meshkat; Nosratollah Amanian; Ali Talebi; Mahboobeh Kiani-Harchegani; Jesús Rodrigo-Comino. Effects of Roughness Coefficients and Complex Hillslope Morphology on Runoff Variables under Laboratory Conditions. Water 2019, 11, 2550 .
AMA StyleMasoud Meshkat, Nosratollah Amanian, Ali Talebi, Mahboobeh Kiani-Harchegani, Jesús Rodrigo-Comino. Effects of Roughness Coefficients and Complex Hillslope Morphology on Runoff Variables under Laboratory Conditions. Water. 2019; 11 (12):2550.
Chicago/Turabian StyleMasoud Meshkat; Nosratollah Amanian; Ali Talebi; Mahboobeh Kiani-Harchegani; Jesús Rodrigo-Comino. 2019. "Effects of Roughness Coefficients and Complex Hillslope Morphology on Runoff Variables under Laboratory Conditions." Water 11, no. 12: 2550.
Monitoring and managing floods and sediments are considered major challenges in the sustainable management of watersheds. Hence, an effective layout of the hydraulic structures across channels is considered as a measure to overcome these two challenges. This study was carried out in the Illanlu catchment in the northwest of Hamadan Province, Iran. A set of effective indices were identified and developed using the Geographic Information System (GIS) and fuzzy logic to model optimal location of sites for construction of the check dams. Based on the ability to construct the check dams e.g. access road and environmental constraints, the map was classified from very high to very low construction ability. In the study area, 26% of the catchment area was located in the very high and high classes, predominantly in the upstream sub-catchments, 13% in the very low class, and 62% in moderate and low ability ranges. Finally, by using superimposing method and the receiver operating characteristic (ROC) curve the accuracy of developed spatial model estimated to be 70% and 73.5%, respectively.
Ali Reza Ildoromi; Mehdi Sepehri; Hossein Malekinezhad; Mahboobeh Kiani-Harchegani; Afshin Ghahramani; Seyed Zeynalabedin Hosseini; Mohammad Mehdi Artimani. Application of multi-criteria decision making and GIS for check dam layout in the Ilanlu basin, northwest of Hamadan Province, Iran. Physics and Chemistry of the Earth, Parts A/B/C 2019, 114, 102803 .
AMA StyleAli Reza Ildoromi, Mehdi Sepehri, Hossein Malekinezhad, Mahboobeh Kiani-Harchegani, Afshin Ghahramani, Seyed Zeynalabedin Hosseini, Mohammad Mehdi Artimani. Application of multi-criteria decision making and GIS for check dam layout in the Ilanlu basin, northwest of Hamadan Province, Iran. Physics and Chemistry of the Earth, Parts A/B/C. 2019; 114 ():102803.
Chicago/Turabian StyleAli Reza Ildoromi; Mehdi Sepehri; Hossein Malekinezhad; Mahboobeh Kiani-Harchegani; Afshin Ghahramani; Seyed Zeynalabedin Hosseini; Mohammad Mehdi Artimani. 2019. "Application of multi-criteria decision making and GIS for check dam layout in the Ilanlu basin, northwest of Hamadan Province, Iran." Physics and Chemistry of the Earth, Parts A/B/C 114, no. : 102803.
Neutralizing land degradation due to overexploitation of natural resources is an acceptable strategy under developing conditions. However, this important approach has not been adequately introduced and adopted in the world. The present study therefore aimed to calculate Land Degradation Neutrality (LDN) for the Shazand Watershed with an area about 1740 km2 located in central arid and semi-arid region of Iran. The LDN status was basically assessed using three indicators, viz. land use and land cover, soil organic carbon and land productivity using Land Cover/Use Changes (LUC), Soil Organic Carbon (SOC) and Net Primary Productivity (NPP) metrics for two sub-periods during 2000 to 2016. Towards this, 140 soil samples were then taken from the top 30-cm of the soil from homogeneous units representing an area ≥ 1-km2 for four different main land uses including irrigated farms, rain fed farms, range lands, and orchards. Consequently, SOC and various soil properties such as sand, silt, clay, gravel, bulk density (BD), pH, electrical connectivity (EC), calcium carbonate (CaCO3) and nitrogen (N) were analyzed. NPP metric was also obtained using MODIS satellite images for three periods of 2000–2008, 2008–2016, and 2000–2016. The results of combination of study metrics indicated that net loss occurred in irrigated lands, rain fed lands, and range lands in the first eight-year period (2000–2008) and in contrary a balanced and stable situation in the second eight-year period (2008–2016). Overall, the LDN status in the Shazand Watershed was in a net loss situation during the period from 2000 to 2016 in irrigated lands, rain fed lands, and range lands covered areas of 12,290, 44,170 and 66,630 ha, respectively.
Mahboobeh Kiani-Harchegani; Seyed Hamidreza Sadeghi. Practicing land degradation neutrality (LDN) approach in the Shazand Watershed, Iran. Science of The Total Environment 2019, 698, 134319 .
AMA StyleMahboobeh Kiani-Harchegani, Seyed Hamidreza Sadeghi. Practicing land degradation neutrality (LDN) approach in the Shazand Watershed, Iran. Science of The Total Environment. 2019; 698 ():134319.
Chicago/Turabian StyleMahboobeh Kiani-Harchegani; Seyed Hamidreza Sadeghi. 2019. "Practicing land degradation neutrality (LDN) approach in the Shazand Watershed, Iran." Science of The Total Environment 698, no. : 134319.
Assessing impacts of different factors on soil erosion is crucial for developing management of watershed resources. The present study aimed at determining the effect of rainfall intensity (RI) and slope steepness (SS) on sediments subjected to raindrop detachment (RD), transport by raindrop splash (ST), raindrop-induced flow transport (RIFT) and transport by flow (FT), using partial eta squared (ɳp2). Experiments were carried out on a plot (6 × 1 × 0.5 m) filled by silty loam soil and subjected to three RIs values of 30, 60 and 90 mm h−1 and three SS values of 5, 15 and 25% in three replicates. The total splash was influenced by RI with respect to ɳp2 and F-value of 0.29 and 14.68. It was found that the particle size 8 μm was more than that of SS. The effect of SS on sediment concentration and particles >63 μm and particle size 2–4, 4–8 and 8–16 μm of sediment reaching the outlet was more than that of RI with respect to ɳp2 of 0.93, 0.58, 0.51, 0.72 and 0.79. However, the clay content (particles <2 μm) with ɳp2 of 0.52 was influenced by RI more than by SS. The runoff rate was also significantly (P < 0.001) influenced by RI (ɳp2 = 0.64). RD-ST and RD-RIFT and RD-FT under different RI and SS combinations indicated that there was a significant difference (P < 0.001) in the transport of detached sediment of different size classes except for RI of 60 mm h−1 and 90 mm h−1 and SS of 25%.
Mahboobeh Kiani-Harchegani; Seyed Hamidreza Sadeghi; Vijay P. Singh; Hossein Asadi; Mehdi Abedi. Effect of rainfall intensity and slope on sediment particle size distribution during erosion using partial eta squared. CATENA 2019, 176, 65 -72.
AMA StyleMahboobeh Kiani-Harchegani, Seyed Hamidreza Sadeghi, Vijay P. Singh, Hossein Asadi, Mehdi Abedi. Effect of rainfall intensity and slope on sediment particle size distribution during erosion using partial eta squared. CATENA. 2019; 176 ():65-72.
Chicago/Turabian StyleMahboobeh Kiani-Harchegani; Seyed Hamidreza Sadeghi; Vijay P. Singh; Hossein Asadi; Mehdi Abedi. 2019. "Effect of rainfall intensity and slope on sediment particle size distribution during erosion using partial eta squared." CATENA 176, no. : 65-72.
This study aimed to examine flood hazard zoning and assess the role of check dams as effective hydraulic structures in reducing flood hazards. To this end, factors associated with topographic, hydrologic and human characteristics were used to develop indices for flood mapping and assessment. These indices and their components were weighed for flood hazard zoning using two methods: (i) a multi-criterion decision-making model in fuzzy logic and (ii) entropy weight. After preparing the flood hazard map by using the above indices and methods, the characteristics of the change‐point were used to assess the role of the check dams in reducing flood risk. The method was used in the Ilanlu catchment, located in the northwest of Hamadan province, Iran, where it is prone to frequent flood events. The results showed that the area of ‘very low’, ‘low’ and ‘moderate’ flood hazard zones increased from about 2.2% to 7.3%, 8.6% to 19.6% and 22.7% to 31.2% after the construction of check dams, respectively. Moreover, the area of ‘high’ and ‘very high’ flood hazard zones decreased from 39.8% to 29.6%, and 26.7% to 12.2%, respectively.
Mehdi Sepehri; Ali Reza Ildoromi; Hossein Malekinezhad; Afshin Ghahramani; Mohammad Reza Ekhtesasi; Chen Cao; Mahboobeh Kiani-Harchegani. Assessment of check dams’ role in flood hazard mapping in a semi-arid environment. Geomatics, Natural Hazards and Risk 2019, 10, 2239 -2256.
AMA StyleMehdi Sepehri, Ali Reza Ildoromi, Hossein Malekinezhad, Afshin Ghahramani, Mohammad Reza Ekhtesasi, Chen Cao, Mahboobeh Kiani-Harchegani. Assessment of check dams’ role in flood hazard mapping in a semi-arid environment. Geomatics, Natural Hazards and Risk. 2019; 10 (1):2239-2256.
Chicago/Turabian StyleMehdi Sepehri; Ali Reza Ildoromi; Hossein Malekinezhad; Afshin Ghahramani; Mohammad Reza Ekhtesasi; Chen Cao; Mahboobeh Kiani-Harchegani. 2019. "Assessment of check dams’ role in flood hazard mapping in a semi-arid environment." Geomatics, Natural Hazards and Risk 10, no. 1: 2239-2256.
In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements (∼ 76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76 % of the experimental sites with agricultural land use as the dominant type (∼ 40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it.
Mehdi Rahmati; Lutz Weihermüller; Jan Vanderborght; Yakov A. Pachepsky; Lili Mao; Seyed Hamidreza Sadeghi; Niloofar Moosavi; Hossein Kheirfam; Carsten Montzka; Kris Van Looy; Brigitta Toth; Zeinab Hazbavi; Wafa Al Yamani; Ammar A. Albalasmeh; Ma'in Z. Alghzawi; Rafael Angulo-Jaramillo; Antônio Celso Dantas Antonino; George Arampatzis; Robson André Armindo; Hossein Asadi; Yazidhi Bamutaze; Jordi Batlle-Aguilar; Béatrice Béchet; Fabian Becker; Günter Blöschl; Klaus Bohne; Isabelle Braud; Clara Castellano; Artemi Cerdà; Maha Chalhoub; Rogerio Cichota; Milena Císlerová; Brent Clothier; Yves Coquet; Wim Cornelis; Corrado Corradini; Artur Paiva Coutinho; Muriel Bastista de Oliveira; José Ronaldo de Macedo; Matheus Fonseca Durães; Hojat Emami; Iraj Eskandari; Asghar Farajnia; Alessia Flammini; Nándor Fodor; Mamoun Gharaibeh; Mohamad Hossein Ghavimipanah; Teamrat A. Ghezzehei; Simone Giertz; Evangelos G. Hatzigiannakis; Rainer Horn; Juan José Jiménez; Diederik Jacques; Saskia Deborah Keesstra; Hamid Kelishadi; Mahboobeh Kiani-Harchegani; Mehdi Kouselou; Madan Kumar Jha; Laurent Lassabatere; Xiaoyan Li; Mark A. Liebig; Lubomír Lichner; María Victoria López; Deepesh Machiwal; Dirk Mallants; Micael Stolben Mallmann; Jean Dalmo De Oliveira Marques; Miles R. Marshall; Jan Mertens; Félicien Meunier; Mohammad Hossein Mohammadi; Binayak P. Mohanty; Mansonia Pulido-Moncada; Suzana Montenegro; Renato Morbidelli; David Moret-Fernández; Ali Akbar Moosavi; Mohammad Reza Mosaddeghi; Seyed Bahman Mousavi; Hasan Mozaffari; Kamal Nabiollahi; Mohammad Reza Neyshabouri; Marta Vasconcelos Ottoni; Theophilo Benedicto Ottoni Filho; Mohammad Reza Pahlavan-Rad; Andreas Panagopoulos; Stephan Peth; Pierre-Emmanuel Peyneau; Tommaso Picciafuoco; Jean Poesen; Manuel Pulido; Dalvan José Reinert; Sabine Reinsch; Meisam Rezaei; Francis Parry Roberts; David Robinson; Jesús Rodrigo-Comino; Otto Corrêa Rotunno Filho; Tadaomi Saito; Hideki Suganuma; Carla Saltalippi; Renáta Sándor; Brigitta Schütt; Manuel Seeger; Nasrollah Sepehrnia; Ehsan Sharifi Moghaddam; Manoj Shukla; Shiraki Shutaro; Ricardo Sorando; Ajayi Asishana Stanley; Peter Strauss; Zhongbo Su; Ruhollah Taghizadeh-Mehrjardi; Encarnación Taguas; Wenceslau Geraldes Teixeira; Ali Reza Vaezi; Mehdi Vafakhah; Tomas Vogel; Iris Vogeler; Jana Votrubova; Steffen Werner; Thierry Winarski; Deniz Yilmaz; Michael H. Young; Steffen Zacharias; Yijian Zeng; Ying Zhao; Hong Zhao; Harry Vereecken. Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data 2018, 10, 1237 -1263.
AMA StyleMehdi Rahmati, Lutz Weihermüller, Jan Vanderborght, Yakov A. Pachepsky, Lili Mao, Seyed Hamidreza Sadeghi, Niloofar Moosavi, Hossein Kheirfam, Carsten Montzka, Kris Van Looy, Brigitta Toth, Zeinab Hazbavi, Wafa Al Yamani, Ammar A. Albalasmeh, Ma'in Z. Alghzawi, Rafael Angulo-Jaramillo, Antônio Celso Dantas Antonino, George Arampatzis, Robson André Armindo, Hossein Asadi, Yazidhi Bamutaze, Jordi Batlle-Aguilar, Béatrice Béchet, Fabian Becker, Günter Blöschl, Klaus Bohne, Isabelle Braud, Clara Castellano, Artemi Cerdà, Maha Chalhoub, Rogerio Cichota, Milena Císlerová, Brent Clothier, Yves Coquet, Wim Cornelis, Corrado Corradini, Artur Paiva Coutinho, Muriel Bastista de Oliveira, José Ronaldo de Macedo, Matheus Fonseca Durães, Hojat Emami, Iraj Eskandari, Asghar Farajnia, Alessia Flammini, Nándor Fodor, Mamoun Gharaibeh, Mohamad Hossein Ghavimipanah, Teamrat A. Ghezzehei, Simone Giertz, Evangelos G. Hatzigiannakis, Rainer Horn, Juan José Jiménez, Diederik Jacques, Saskia Deborah Keesstra, Hamid Kelishadi, Mahboobeh Kiani-Harchegani, Mehdi Kouselou, Madan Kumar Jha, Laurent Lassabatere, Xiaoyan Li, Mark A. Liebig, Lubomír Lichner, María Victoria López, Deepesh Machiwal, Dirk Mallants, Micael Stolben Mallmann, Jean Dalmo De Oliveira Marques, Miles R. Marshall, Jan Mertens, Félicien Meunier, Mohammad Hossein Mohammadi, Binayak P. Mohanty, Mansonia Pulido-Moncada, Suzana Montenegro, Renato Morbidelli, David Moret-Fernández, Ali Akbar Moosavi, Mohammad Reza Mosaddeghi, Seyed Bahman Mousavi, Hasan Mozaffari, Kamal Nabiollahi, Mohammad Reza Neyshabouri, Marta Vasconcelos Ottoni, Theophilo Benedicto Ottoni Filho, Mohammad Reza Pahlavan-Rad, Andreas Panagopoulos, Stephan Peth, Pierre-Emmanuel Peyneau, Tommaso Picciafuoco, Jean Poesen, Manuel Pulido, Dalvan José Reinert, Sabine Reinsch, Meisam Rezaei, Francis Parry Roberts, David Robinson, Jesús Rodrigo-Comino, Otto Corrêa Rotunno Filho, Tadaomi Saito, Hideki Suganuma, Carla Saltalippi, Renáta Sándor, Brigitta Schütt, Manuel Seeger, Nasrollah Sepehrnia, Ehsan Sharifi Moghaddam, Manoj Shukla, Shiraki Shutaro, Ricardo Sorando, Ajayi Asishana Stanley, Peter Strauss, Zhongbo Su, Ruhollah Taghizadeh-Mehrjardi, Encarnación Taguas, Wenceslau Geraldes Teixeira, Ali Reza Vaezi, Mehdi Vafakhah, Tomas Vogel, Iris Vogeler, Jana Votrubova, Steffen Werner, Thierry Winarski, Deniz Yilmaz, Michael H. Young, Steffen Zacharias, Yijian Zeng, Ying Zhao, Hong Zhao, Harry Vereecken. Development and analysis of the Soil Water Infiltration Global database. Earth System Science Data. 2018; 10 (3):1237-1263.
Chicago/Turabian StyleMehdi Rahmati; Lutz Weihermüller; Jan Vanderborght; Yakov A. Pachepsky; Lili Mao; Seyed Hamidreza Sadeghi; Niloofar Moosavi; Hossein Kheirfam; Carsten Montzka; Kris Van Looy; Brigitta Toth; Zeinab Hazbavi; Wafa Al Yamani; Ammar A. Albalasmeh; Ma'in Z. Alghzawi; Rafael Angulo-Jaramillo; Antônio Celso Dantas Antonino; George Arampatzis; Robson André Armindo; Hossein Asadi; Yazidhi Bamutaze; Jordi Batlle-Aguilar; Béatrice Béchet; Fabian Becker; Günter Blöschl; Klaus Bohne; Isabelle Braud; Clara Castellano; Artemi Cerdà; Maha Chalhoub; Rogerio Cichota; Milena Císlerová; Brent Clothier; Yves Coquet; Wim Cornelis; Corrado Corradini; Artur Paiva Coutinho; Muriel Bastista de Oliveira; José Ronaldo de Macedo; Matheus Fonseca Durães; Hojat Emami; Iraj Eskandari; Asghar Farajnia; Alessia Flammini; Nándor Fodor; Mamoun Gharaibeh; Mohamad Hossein Ghavimipanah; Teamrat A. Ghezzehei; Simone Giertz; Evangelos G. Hatzigiannakis; Rainer Horn; Juan José Jiménez; Diederik Jacques; Saskia Deborah Keesstra; Hamid Kelishadi; Mahboobeh Kiani-Harchegani; Mehdi Kouselou; Madan Kumar Jha; Laurent Lassabatere; Xiaoyan Li; Mark A. Liebig; Lubomír Lichner; María Victoria López; Deepesh Machiwal; Dirk Mallants; Micael Stolben Mallmann; Jean Dalmo De Oliveira Marques; Miles R. Marshall; Jan Mertens; Félicien Meunier; Mohammad Hossein Mohammadi; Binayak P. Mohanty; Mansonia Pulido-Moncada; Suzana Montenegro; Renato Morbidelli; David Moret-Fernández; Ali Akbar Moosavi; Mohammad Reza Mosaddeghi; Seyed Bahman Mousavi; Hasan Mozaffari; Kamal Nabiollahi; Mohammad Reza Neyshabouri; Marta Vasconcelos Ottoni; Theophilo Benedicto Ottoni Filho; Mohammad Reza Pahlavan-Rad; Andreas Panagopoulos; Stephan Peth; Pierre-Emmanuel Peyneau; Tommaso Picciafuoco; Jean Poesen; Manuel Pulido; Dalvan José Reinert; Sabine Reinsch; Meisam Rezaei; Francis Parry Roberts; David Robinson; Jesús Rodrigo-Comino; Otto Corrêa Rotunno Filho; Tadaomi Saito; Hideki Suganuma; Carla Saltalippi; Renáta Sándor; Brigitta Schütt; Manuel Seeger; Nasrollah Sepehrnia; Ehsan Sharifi Moghaddam; Manoj Shukla; Shiraki Shutaro; Ricardo Sorando; Ajayi Asishana Stanley; Peter Strauss; Zhongbo Su; Ruhollah Taghizadeh-Mehrjardi; Encarnación Taguas; Wenceslau Geraldes Teixeira; Ali Reza Vaezi; Mehdi Vafakhah; Tomas Vogel; Iris Vogeler; Jana Votrubova; Steffen Werner; Thierry Winarski; Deniz Yilmaz; Michael H. Young; Steffen Zacharias; Yijian Zeng; Ying Zhao; Hong Zhao; Harry Vereecken. 2018. "Development and analysis of the Soil Water Infiltration Global database." Earth System Science Data 10, no. 3: 1237-1263.
Monitoring the sediment transport behavior induced by different interventions, particularly sand mining from rivers, is needed to adaptively manage the watersheds. The particle size distribution of the suspended sediment in up and downstream of rivers is one of the main indicators to know about fate of sediments, which may be varied in different conditions. We investigated the effect of some types of sand and gravel (i.e., manual and low, semi-heavy, and heavy machinery) mining on particle size distribution of suspended sediment in the Vaz-e-Owlya, Vaz-e-Sofla and Alesh-Roud riverine mines located in Mazandaran Province, northern Iran. The study was conducted on a monthly basis from February, 2012 to January, 2013. Laser granulometry was used to analyze the particle size distribution of suspended sediment samples taken from up and downstream sections of the study mines. The results revealed that the level and intensity of mining activity affected particle size distribution of suspended sediments. Further statistical assessments in up and downstream sections of the mines proved that sorting, D50, mean, D90, kurtosis, skewness and D10 of the suspended sediment were not significantly influenced by mining activities at levels of 0.09, 0.11, 0.12, 0.15 to 0.69, 0.15–0.69, 0.77, 0.87, 0.97, respectively. While it was not statistically significant, we found that the type of mine and the level of the exploitation changed the particle size distribution of the suspended sediment.
Seyed Hamidreza Sadeghi; Sudabeh Gharemahmudli; Hossein Kheirfam; Abdulvahed Khaledi Darvishan; Mahboobeh Kiani Harchegani; Pari Saeidi; Leila Gholami; Mehdi Vafakhah. Effects of type, level and time of sand and gravel mining on particle size distributions of suspended sediment. International Soil and Water Conservation Research 2018, 6, 184 -193.
AMA StyleSeyed Hamidreza Sadeghi, Sudabeh Gharemahmudli, Hossein Kheirfam, Abdulvahed Khaledi Darvishan, Mahboobeh Kiani Harchegani, Pari Saeidi, Leila Gholami, Mehdi Vafakhah. Effects of type, level and time of sand and gravel mining on particle size distributions of suspended sediment. International Soil and Water Conservation Research. 2018; 6 (2):184-193.
Chicago/Turabian StyleSeyed Hamidreza Sadeghi; Sudabeh Gharemahmudli; Hossein Kheirfam; Abdulvahed Khaledi Darvishan; Mahboobeh Kiani Harchegani; Pari Saeidi; Leila Gholami; Mehdi Vafakhah. 2018. "Effects of type, level and time of sand and gravel mining on particle size distributions of suspended sediment." International Soil and Water Conservation Research 6, no. 2: 184-193.
Estimates of spatio-temporal variations of sediment concentration with discharge are needed for the assessment of aquatic ecosystems, estimates of contaminant export from catchments. The relationship between discharge and sediment concentration is available for different watersheds. However, elucidating flow discharge-soil loss-contribution area relationships under simulated controlled conditions has not been adequately considered for better understanding of soil erosion processes. The objective of this study therefore is to employ sediment rating loops and PSD to characterize erosion source contribution of a mid-sized plot subjected to different input driving forces of slope steepness (S = 5 to 25%) and rainfall intensity (I = 30 to 90 mm h−1). A cause-and-effect conceptual approach was employed for investigating erosion by individual storm events. Results of the study showed that the interrelationships among variables varied as erosion processes developed owing to increasing slope or rainfall intensity. The sediment rating mainly followed downward linear or semi clockwise hysteretic loops except for slopes of 15 and 25%, and rainfall intensity of 30 mm h−1. It was further found that the high rainfall intensity event under steep slope had limited contributing area and more contribution of coarse particles with lesser coefficient of variation. Understanding the relationships among runoff, sediment and PSD can greatly improve our understanding of sediment transport mechanisms and the contributing areas that facilitate better soil erosion modeling leading to proper planning of soil and water management measures.
Seyed Hamidreza Sadeghi; Vijay P. Singh; Mahboobeh Kiani-Harchegani; Hossein Asadi. Analysis of sediment rating loops and particle size distributions to characterize sediment source at mid-sized plot scale. CATENA 2018, 167, 221 -227.
AMA StyleSeyed Hamidreza Sadeghi, Vijay P. Singh, Mahboobeh Kiani-Harchegani, Hossein Asadi. Analysis of sediment rating loops and particle size distributions to characterize sediment source at mid-sized plot scale. CATENA. 2018; 167 ():221-227.
Chicago/Turabian StyleSeyed Hamidreza Sadeghi; Vijay P. Singh; Mahboobeh Kiani-Harchegani; Hossein Asadi. 2018. "Analysis of sediment rating loops and particle size distributions to characterize sediment source at mid-sized plot scale." CATENA 167, no. : 221-227.
The grain size distribution (GSD) of sediment in comparison with the original soil GSD is discussed under different slopes (5, 15 and 25%) and rainfall intensities (30, 60 and 90 mm h–1 with respective duration of 30, 15 and 10 min) but identical runoff (15 mm). The sediment quantification was carried out by raindrop-induced flow transport (RIFT) or/and transport by flow (FT) using a rainfall simulator and a 6 × 1 m2 erosion plot and a silt loam. The results show a high degree of enrichment for size classes of 2–4 and 4–8 μm and a high degree of depletion for size classes of >63 μm under different slopes and rainfall intensities. In addition, the results show that the experimental enrichment ratio (ER) for particle size 32 μm was less than 1.
Mahboobeh Kiani-Harchegani; Seyed Hamidreza Sadeghi; Hossein Asadi. Comparing grain size distribution of sediment and original soil under raindrop detachment and raindrop-induced and flow transport mechanism. Hydrological Sciences Journal 2018, 63, 312 -323.
AMA StyleMahboobeh Kiani-Harchegani, Seyed Hamidreza Sadeghi, Hossein Asadi. Comparing grain size distribution of sediment and original soil under raindrop detachment and raindrop-induced and flow transport mechanism. Hydrological Sciences Journal. 2018; 63 (2):312-323.
Chicago/Turabian StyleMahboobeh Kiani-Harchegani; Seyed Hamidreza Sadeghi; Hossein Asadi. 2018. "Comparing grain size distribution of sediment and original soil under raindrop detachment and raindrop-induced and flow transport mechanism." Hydrological Sciences Journal 63, no. 2: 312-323.
Seyed Hamidreza Sadeghi; Mahboobeh Kiani Harchegani; Hossein Asadi. Variability of particle size distributions of upward/downward splashed materials in different rainfall intensities and slopes. Geoderma 2017, 290, 100 -106.
AMA StyleSeyed Hamidreza Sadeghi, Mahboobeh Kiani Harchegani, Hossein Asadi. Variability of particle size distributions of upward/downward splashed materials in different rainfall intensities and slopes. Geoderma. 2017; 290 ():100-106.
Chicago/Turabian StyleSeyed Hamidreza Sadeghi; Mahboobeh Kiani Harchegani; Hossein Asadi. 2017. "Variability of particle size distributions of upward/downward splashed materials in different rainfall intensities and slopes." Geoderma 290, no. : 100-106.