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Massoud Tajrishy
Professor, Dept. of Civil Engineering, Sharif Univ. of Technology, Tehran 1136511155, Iran. ORCID

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Journal article
Published: 01 May 2021 in Journal of Sustainable Water in the Built Environment
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Although there has been a growing interest in the application of stormwater best management practices, many developing countries still rely solely on traditional practices, such as channels, for urban flood management. The city of Tehran in Iran is an example. In this study, the effectiveness of hypothetical retention ponds for flood mitigation and the removal of total suspended solids (TSS) was evaluated in five design storm depths in the Darakeh catchment in northern Tehran. The key case study findings were the following: (1) a large pond is more efficient than a series of small ponds for both flood mitigation and TSS removal; (2) channel enlargement is the most cost-effective alternative in all the five storms if only flood mitigation is desired (traditional flood management approach); however, if TSS removal is considered as well (more sustainable approach), the retention pond is the most cost-effective alternative for all the storms; and (3) retention ponds more effectively reduce both peak flow and TSS in smaller storm depths.

ACS Style

Ebrahim Ahmadisharaf; Nasrin Alamdari; Masoud Tajrishy; Sahar Ghanbari. Effectiveness of Retention Ponds for Sustainable Urban Flood Mitigation across Range of Storm Depths in Northern Tehran, Iran. Journal of Sustainable Water in the Built Environment 2021, 7, 05021003 .

AMA Style

Ebrahim Ahmadisharaf, Nasrin Alamdari, Masoud Tajrishy, Sahar Ghanbari. Effectiveness of Retention Ponds for Sustainable Urban Flood Mitigation across Range of Storm Depths in Northern Tehran, Iran. Journal of Sustainable Water in the Built Environment. 2021; 7 (2):05021003.

Chicago/Turabian Style

Ebrahim Ahmadisharaf; Nasrin Alamdari; Masoud Tajrishy; Sahar Ghanbari. 2021. "Effectiveness of Retention Ponds for Sustainable Urban Flood Mitigation across Range of Storm Depths in Northern Tehran, Iran." Journal of Sustainable Water in the Built Environment 7, no. 2: 05021003.

Journal article
Published: 30 July 2020 in Water
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Lake Urmia in northwestern Iran is the largest lake in Iran and the second largest saltwater lake in the world. The water level in Lake Urmia has decreased dramatically in recent years, due to drought, climate change, and the overuse of water resources for irrigation. This shrinking of the lake may affect local climate conditions, assuming that the lake itself affects the local climate. In this study, we quantified the lake’s impact on the local climate by analyzing hourly time series of data on climate variables (temperature, vapor pressure, relative humidity, evaporation, and dewpoint temperature for all seasons, and local lake/land breezes in summer) for the period 1961–2016. For this, we compared high quality, long-term climate data obtained from Urmia and Saqez meteorological stations, located 30 km and 185 km from the lake center, respectively. We then investigated the effect of lake level decrease on the climate variables by dividing the data into periods 1961–1995 (normal lake level) and 1996–2016 (low lake level). The results showed that at Urmia station (close to the lake), climate parameters displayed fewer fluctuations and were evidently affected by Lake Urmia compared with those at Saqez station. The effects of the lake on the local climate increased with increasing temperature, with the most significant impact in summer and the least in winter. The results also indicated that, despite decreasing lake level, local climate conditions are still influenced by Lake Urmia, but to a lesser extent.

ACS Style

Amir Hossein Dehghanipour; Davood Moshir Panahi; Hossein Mousavi; Zahra Kalantari; Massoud Tajrishy. Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions. Water 2020, 12, 2153 .

AMA Style

Amir Hossein Dehghanipour, Davood Moshir Panahi, Hossein Mousavi, Zahra Kalantari, Massoud Tajrishy. Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions. Water. 2020; 12 (8):2153.

Chicago/Turabian Style

Amir Hossein Dehghanipour; Davood Moshir Panahi; Hossein Mousavi; Zahra Kalantari; Massoud Tajrishy. 2020. "Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions." Water 12, no. 8: 2153.

Preprint
Published: 09 July 2020
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Lake Urmia in northwestern Iran is the largest lake in Iran and the second largest saltwater lake in the world. The water level in Lake Urmia has decreased dramatically in recent years, due to drought, climate change, and overuse of water resources for irrigation. This shrinking of the lake may affect local climate conditions, assuming that the lake itself affects the local climate. In this study, we quantified the lake’s impact on the local climate by analyzing hourly time series of data on climate variables (temperature, vapor pressure, relative humidity, evaporation, and dewpoint temperature for all seasons, and local lake/land breezes in summer) for the period 1961-2016. For this, we compared high quality, long-term climate data obtained from Urmia and Saqez meteorological stations, located 30 km and 185 km from the lake center, respectively. We then investigated the effect of lake level decrease on the climate variables by dividing the data into 1961-1995 (normal lake level) and 1996-2016 (low lake level). The results showed that at Urmia station (close to the lake), climate parameters displayed fewer fluctuations and were evidently affected by Lake Urmia compared with those at Saqez station. The effects of the lake on the local climate increased with increasing temperature, with the most significant impact in summer and the least in winter. The results also indicated that, despite decreasing lake level, local climate conditions are still influenced by Lake Urmia, but to a lesser extent.

ACS Style

Amir Hossein Dehghanipour; Davood Moshir Panahi; Hossein Mousavi; Zahra Kalantari; Massoud Tajrishy. Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions. 2020, 1 .

AMA Style

Amir Hossein Dehghanipour, Davood Moshir Panahi, Hossein Mousavi, Zahra Kalantari, Massoud Tajrishy. Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions. . 2020; ():1.

Chicago/Turabian Style

Amir Hossein Dehghanipour; Davood Moshir Panahi; Hossein Mousavi; Zahra Kalantari; Massoud Tajrishy. 2020. "Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions." , no. : 1.

Journal article
Published: 09 August 2019 in Water
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Evapotranspiration is one of the main components of water and energy balance. In this study, we compare two ET products, suitable for regional analysis at high spatial resolution: The recent WaPOR product developed by FAO and METRIC algorithm. WaPOR is based on ETLook, which is a two-source model and relies on microwave images. WaPOR is unique as it has no limitation under cloudy days, but METRIC is limited by clouds. METRIC and WaPOR are more sensitive to land surface temperature and soil moisture, respectively. Using two years (2010 and 2014) of data over Lake Urmia basin, we show that in most areas, ET from METRIC is higher than WaPOR and the difference has an ascending trend with the elevation. The ET of lysimeter station is fairly consistent with METRIC based on a single observation. Our analysis using NDVI and land use maps suggests that the histogram of ET from WaPOR might be more realistic than METRIC, but not its amount. The fraction of ET to precipitation in rainfed agriculture areas shows that WaPOR is more accurate than METRIC, mainly because in the absence of other water resources such as ground water annual ET cannot exceed annual precipitation. In contrast, METRIC produces a more realistic estimate than WaPOR over irrigated farms. The results suggest that the two products can complement each other.

ACS Style

Mostafa Javadian; Ali Behrangi; Mohsen Gholizadeh; Masoud Tajrishy. METRIC and WaPOR Estimates of Evapotranspiration over the Lake Urmia Basin: Comparative Analysis and Composite Assessment. Water 2019, 11, 1647 .

AMA Style

Mostafa Javadian, Ali Behrangi, Mohsen Gholizadeh, Masoud Tajrishy. METRIC and WaPOR Estimates of Evapotranspiration over the Lake Urmia Basin: Comparative Analysis and Composite Assessment. Water. 2019; 11 (8):1647.

Chicago/Turabian Style

Mostafa Javadian; Ali Behrangi; Mohsen Gholizadeh; Masoud Tajrishy. 2019. "METRIC and WaPOR Estimates of Evapotranspiration over the Lake Urmia Basin: Comparative Analysis and Composite Assessment." Water 11, no. 8: 1647.

Journal article
Published: 06 August 2019 in Water
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Water management in arid basins often lacks sufficient hydro-climatological data because, e.g., rain gauges are typically absent at high elevations and inflow to ungauged areas around large closed lakes is difficult to estimate. We sought to improve precipitation and runoff estimation in an arid basin (Lake Urmia, Iran) using methods involving assimilation of satellite-based data. We estimated precipitation using interpolation of rain gauge data by kriging, downscaling the Tropical Rainfall Measuring Mission (TRMM), and cokriging interpolation of in-situ records with Remote Sensing (RS)-based data. Using RS-based data application in estimations gave more precise results, by compensating for lack of data at high elevations. Cokriging interpolation of rain gauges by TRMM and Digitized Elevation Model (DEM) gave 4–9 mm lower Root Mean Square Error (RMSE) in different years compared with kriging. Downscaling TRMM improved its accuracy by 14 mm. Using the most accurate precipitation result, we modeled annual direct runoff with Kennessey and Soil Conservation Service Curve Number (SCS-CN) models. These models use land use, permeability, and slope data. In runoff modeling, Kennessey gave higher accuracy. Calibrating Kennessey reduced the Normalized RMSE (NRMSE) from 1 in the standard model to 0.44. Direct runoff coefficient map by 1 km spatial resolution was generated by calibrated Kennessey. Validation by the closest gauges to the lake gave a NRMSE of 0.41 which approved the accuracy of modeling.

ACS Style

Mahdi Akbari; Ali Torabi Haghighi; Mohammad Mahdi Aghayi; Mostafa Javadian; Masoud Tajrishy; Bjørn Kløve. Assimilation of Satellite-Based Data for Hydrological Mapping of Precipitation and Direct Runoff Coefficient for the Lake Urmia Basin in Iran. Water 2019, 11, 1624 .

AMA Style

Mahdi Akbari, Ali Torabi Haghighi, Mohammad Mahdi Aghayi, Mostafa Javadian, Masoud Tajrishy, Bjørn Kløve. Assimilation of Satellite-Based Data for Hydrological Mapping of Precipitation and Direct Runoff Coefficient for the Lake Urmia Basin in Iran. Water. 2019; 11 (8):1624.

Chicago/Turabian Style

Mahdi Akbari; Ali Torabi Haghighi; Mohammad Mahdi Aghayi; Mostafa Javadian; Masoud Tajrishy; Bjørn Kløve. 2019. "Assimilation of Satellite-Based Data for Hydrological Mapping of Precipitation and Direct Runoff Coefficient for the Lake Urmia Basin in Iran." Water 11, no. 8: 1624.

Journal article
Published: 23 August 2018 in Journal of Hydrology
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The large heterogeneity in soil surface conditions makes it impracticable to obtain reliable estimates of soil hydraulic parameters for areas larger than few squared kilometers. However, identifying these parameters on a global scale is essential for many hydrological and climatic applications. In this study, a new approach named Drainage from Drydown (DfD) is proposed to estimate the coefficients of drainage using soil moisture observations. DfD firstly selects multiple drydown events when surface runoff and evapotranspiration rates are negligible compared to the drainage rate. Secondly, by inverting the soil water balance equation, the drainage coefficients are obtained. Synthetic experiments are carried out in order to tune the overall procedure. DfD is then tested with in situ observations at 8 different sites worldwide characterized by different climates and soil types. The reliability of the DfD is evaluated by using the DfD drainage coefficients in a physically based soil water balance model (SWB) for simulating soil moisture and a rainfall estimation model (SM2RAIN). The results indicate that the climate and the soil conditions exert an important role in the occurrence and magnitude of drainage rate. DfD is found capable of correctly identify periods in which drainage rate is the dominant process. Drainage coefficients obtained from DfD are consistent with the expected soil hydraulic properties based on the soil texture and land cover at each site. By using DfD drainage coefficients to estimate rainfall and soil moisture via SM2RAIN and SWB, promising results are obtained with median correlation of 0.83 and 0.91 between estimated and in situ data. However, in sites characterized by high rate of evapotranspiration (>700 mm/year) and low permeable soil (e.g., clay) the DfD performance is reduced. Overall, DfD demonstrates the ability to decouple drainage and evapotranspiration processes and to estimate the drainage coefficients from in situ observations.

ACS Style

Ehsan Jalilvand; Masoud Tajrishy; Luca Brocca; Christian Massari; SedighehAlsadat Ghazi Zadeh Hashemi; Luca Ciabatta. Estimating the drainage rate from surface soil moisture drydowns: Application of DfD model to in situ soil moisture data. Journal of Hydrology 2018, 565, 489 -501.

AMA Style

Ehsan Jalilvand, Masoud Tajrishy, Luca Brocca, Christian Massari, SedighehAlsadat Ghazi Zadeh Hashemi, Luca Ciabatta. Estimating the drainage rate from surface soil moisture drydowns: Application of DfD model to in situ soil moisture data. Journal of Hydrology. 2018; 565 ():489-501.

Chicago/Turabian Style

Ehsan Jalilvand; Masoud Tajrishy; Luca Brocca; Christian Massari; SedighehAlsadat Ghazi Zadeh Hashemi; Luca Ciabatta. 2018. "Estimating the drainage rate from surface soil moisture drydowns: Application of DfD model to in situ soil moisture data." Journal of Hydrology 565, no. : 489-501.

Journal article
Published: 01 February 2017 in Journal of Environmental Management
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The construction of permeable pavement (PP) in sidewalks of urban areas is an alternative low impact development (LID) to control stormwater runoff volume and consequently decrease the discharge of pollutants in receiving water bodies. In this paper, some laboratory experiments were performed to evaluate the efficiency of a PP subjected to sediment loadings during its life span. Simple infiltration models were validated by the laboratory experiments to evaluate the trend and extend of PP infiltration capacity throughout the life of the pavement operation. In addition, performances of the PP in removing total suspended solids (TSS) and selective nutrient pollutants such as NO,NH and PO from the surface runoff have been investigated. Experimental data showed that the PP was completely clogged after seven hydrological years. The model revealed that the ratio of horizontal to vertical hydraulic conductivity is 3.5 for this PP. Moreover, it was found that 20% reduction in hydraulic conductivity occurred after three hydrological years. The PP showed 100%, 23% and 59% efficiencies in sediment retention (TSS removal), (PO), and N-NH removal during the entire study, respectively. However, the removal efficiency of (N-NO) was -12% and we suspect the increase in effluent (N-NO) is due to the nitrification process in subsurface layers. This study demonstrated that when PPs are annually cleaned, it is expected that PPs can function hydraulically and be able to remove particulate pollutants during their life span by a proper maintenance.

ACS Style

Meysam Kamali; Madjid Delkash; Massoud Tajrishy. Evaluation of permeable pavement responses to urban surface runoff. Journal of Environmental Management 2017, 187, 43 -53.

AMA Style

Meysam Kamali, Madjid Delkash, Massoud Tajrishy. Evaluation of permeable pavement responses to urban surface runoff. Journal of Environmental Management. 2017; 187 ():43-53.

Chicago/Turabian Style

Meysam Kamali; Madjid Delkash; Massoud Tajrishy. 2017. "Evaluation of permeable pavement responses to urban surface runoff." Journal of Environmental Management 187, no. : 43-53.

Journal article
Published: 01 November 2016 in Scientia Iranica
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In this article, the relation between meteorological parameters and dust activities in western Iran has been studied. Satellite-based data achieved from TOMS are used to investigate the dust activities within a time period of 30 years. In the rst part of this study, we examine the statistical trend of Aerosol Index (AI) and local meteorological parameters in 15 di erent stations. The same patterns of AI variations in all stations indicate that this region has always been subjected to dust storms which originate from similar sources in the neighboring countries that could be known as a sole dust transfer system. In the second part, we investigate the spatial correlation between the regional meteorological parameters in the Middle East and AI data to determine the contribution of meteorological parameters to dust levels. Broadly, results show that the precipitation in concurrent and antecedent months has a negative correlation with AI parameter of dusty months. Also, notably, we observed that the zonal wind speed in Iraq has a strong positive correlation with AI in our selected stations. This fact veri es that the zonal winds could be identi ed as the major cause of dust transfer system that was noted in the rst part of this study.

ACS Style

A. Kermanshah; S. Sotoudeheian; M. Tajrishy. Satellite and ground-based assessment of Middle East meteorological parameters impact on dust activities in western Iran. Scientia Iranica 2016, 23, 2478 -2493.

AMA Style

A. Kermanshah, S. Sotoudeheian, M. Tajrishy. Satellite and ground-based assessment of Middle East meteorological parameters impact on dust activities in western Iran. Scientia Iranica. 2016; 23 (6):2478-2493.

Chicago/Turabian Style

A. Kermanshah; S. Sotoudeheian; M. Tajrishy. 2016. "Satellite and ground-based assessment of Middle East meteorological parameters impact on dust activities in western Iran." Scientia Iranica 23, no. 6: 2478-2493.

Book chapter
Published: 28 May 2014 in Global Water: Issues and Insights
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ACS Style

Masoud Tajrishy; Abedeh Abdolghafoorian; Ahmad Abrishamchi. Water reuse and wastewater recycling- Solutions to Tehran’s growing water crisis. Global Water: Issues and Insights 2014, 1 .

AMA Style

Masoud Tajrishy, Abedeh Abdolghafoorian, Ahmad Abrishamchi. Water reuse and wastewater recycling- Solutions to Tehran’s growing water crisis. Global Water: Issues and Insights. 2014; ():1.

Chicago/Turabian Style

Masoud Tajrishy; Abedeh Abdolghafoorian; Ahmad Abrishamchi. 2014. "Water reuse and wastewater recycling- Solutions to Tehran’s growing water crisis." Global Water: Issues and Insights , no. : 1.

Proceedings article
Published: 17 May 2012 in World Environmental and Water Resources Congress 2012
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Urmia Lake is a large hyper-saline lake located in the northwest of Iran. It plays an important role in the hydrology, climate and ecology of its surrounding regions. In recent years, the water level of Urmia Lake has been dropped significantly. This study investigates the seasonal and annual variations of the lake area from 2000 to 2011 using remote sensing data. MODIS imageries of Normalized Differential Vegetation Index (NDVI) were used to extract the water surface area of the lake. Results reveal a significant decline in the lake area during the last past 12 years. Analysis of the seasonal images shows that maximum and minimum areas of Urmia Lake usually occur in winter and autumn, respectively. This study confirms the successful application of MODIS-NDVI products for retrieving the variation of the large lakes area with an acceptable spatial and temporal resolution.

ACS Style

S. Sima; A. Ahmadalipour; M. Shafiee Jood; M. Tajrishy; A. Abrishamchi. Monitoring Urmia Lake Area Variations Using MODIS Satellite Data. World Environmental and Water Resources Congress 2012 2012, 1917 -1926.

AMA Style

S. Sima, A. Ahmadalipour, M. Shafiee Jood, M. Tajrishy, A. Abrishamchi. Monitoring Urmia Lake Area Variations Using MODIS Satellite Data. World Environmental and Water Resources Congress 2012. 2012; ():1917-1926.

Chicago/Turabian Style

S. Sima; A. Ahmadalipour; M. Shafiee Jood; M. Tajrishy; A. Abrishamchi. 2012. "Monitoring Urmia Lake Area Variations Using MODIS Satellite Data." World Environmental and Water Resources Congress 2012 , no. : 1917-1926.

Proceedings article
Published: 19 May 2011 in World Environmental and Water Resources Congress 2011
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Flood control as an important purpose of reservoir systems faces a wide range of natural, social and political challenges, mainly due to different uncertainties. Over the time, these uncertainties call for necessary changes in the original plan of the systems. Therefore, construction of new flood control systems as well as the storage reallocation and reservoir reoperation of existing ones are essential for adapting the systems to new information, conditions and policies. Furthermore, multipurpose nature of the multi-reservoir systems requires considering conflicts among various purposes. In this paper, a multiobjective optimization model is developed for analyzing such conflicts in a changing environment. The developed model is applied to Karkheh Reservoir system in the west of Iran. Karkheh reservoir system has six large multipurpose reservoirs in its first master plan from which two have already been constructed. In this study, three storm based flood events were generated and used in the optimization model. The results have demonstrated a large trade-off among different reservoir purposes, and showed the merits of considering such conflicts.

ACS Style

A. Abrishamchi; M. Dashti; M. Tajrishy. Development of a Multi-Reservoir Flood Control Optimization Model: Application to the Karkheh River Basin, Iran. World Environmental and Water Resources Congress 2011 2011, 3048 -3057.

AMA Style

A. Abrishamchi, M. Dashti, M. Tajrishy. Development of a Multi-Reservoir Flood Control Optimization Model: Application to the Karkheh River Basin, Iran. World Environmental and Water Resources Congress 2011. 2011; ():3048-3057.

Chicago/Turabian Style

A. Abrishamchi; M. Dashti; M. Tajrishy. 2011. "Development of a Multi-Reservoir Flood Control Optimization Model: Application to the Karkheh River Basin, Iran." World Environmental and Water Resources Congress 2011 , no. : 3048-3057.

Proceedings article
Published: 19 May 2011 in World Environmental and Water Resources Congress 2011
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Water resources limitation in arid and semi arid regions on one hand and water demand increase on the other, have made the optimum utilization of existing water resources and systems necessary. In this context, researchers are trying to increase the accuracy and lag time of prediction by using various statistic and empirical models as well as different local and long-range variables in the last decades. Karoon River is the greatest and most important river in Iran because of agricultural water demand supply and hydroelectric power production. Therefore streamflow prediction of this river has considerable economical and social benefits. In this study the relationship between Karoon stramflow and monthly customary climate phenomena (ENSO, PDO and NAO) indices and rainfall data has been discussed. Also, to predict the dry season streamflow (April to August) in Poleshaloo hydrometry station, entrance to the Karoon3 Reservoir in the beginning of April, a multiple linear regression model based on principal component analysis (PCA) has been developed. The results indicate that Karoon River annual and seasonal water volume has a significant correlation with the PDO and SOI Indices. In addition, the explained model can predict streamflow with an accuracy of 20% mean absolute percentile error in verification period.

ACS Style

Mahmoud Azimi; Fatemeh Golpaygani; Massoud Tajrishy; Ahmad Abrishamchi. Seasonal Prediction of Karoon Streamflow Using Large-Scale Climate Indices. World Environmental and Water Resources Congress 2011 2011, 1 .

AMA Style

Mahmoud Azimi, Fatemeh Golpaygani, Massoud Tajrishy, Ahmad Abrishamchi. Seasonal Prediction of Karoon Streamflow Using Large-Scale Climate Indices. World Environmental and Water Resources Congress 2011. 2011; ():1.

Chicago/Turabian Style

Mahmoud Azimi; Fatemeh Golpaygani; Massoud Tajrishy; Ahmad Abrishamchi. 2011. "Seasonal Prediction of Karoon Streamflow Using Large-Scale Climate Indices." World Environmental and Water Resources Congress 2011 , no. : 1.

Conference paper
Published: 03 August 2006 in Operating Reservoirs in Changing Conditions
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In this study, a fuzzy inference system is developed for reservoir inflow forecasting and reservoir operation. The system consists of two models. In the first model, the seasonal river stream-flow is forecasted with a fuzzy rule based system. The southern oscillated index, rain, snow, and stream-flow are inputs of the model and the seasonal stream-flow is its output. The second model is a reservoir operation model based on an "If-Then" principle, where "If" is a vector of fuzzy premises and "Then" is fuzzy consequences. The reservoir storage capacity, inflow, demand, and year condition factor are used as the premises and monthly release is taken as the consequence. As a case study, the Zayandeh-Rood Reservoir in Iran is studied. To evaluate the performance of the operation model, different performance criteria such as reliability, resiliency, and vulnerability are calculated. Results indicate that use of this method in extracting knowledge from an informative data set having ill-defined and highly nonlinear structures would be helpful and have advantages over traditional operation methods such as standard operating policy or ordinary least-squared regression rules constructed based on the results of optimization models.

ACS Style

A. Abrishamchi; S. Jamali; M. A. Mariño; M. Tajrishy. Stream Flow Forecasting and Reservoir Operation Models Using Fuzzy Inference Systems. Operating Reservoirs in Changing Conditions 2006, 373 -382.

AMA Style

A. Abrishamchi, S. Jamali, M. A. Mariño, M. Tajrishy. Stream Flow Forecasting and Reservoir Operation Models Using Fuzzy Inference Systems. Operating Reservoirs in Changing Conditions. 2006; ():373-382.

Chicago/Turabian Style

A. Abrishamchi; S. Jamali; M. A. Mariño; M. Tajrishy. 2006. "Stream Flow Forecasting and Reservoir Operation Models Using Fuzzy Inference Systems." Operating Reservoirs in Changing Conditions , no. : 373-382.

Proceedings article
Published: 19 May 2006 in World Environmental and Water Resource Congress 2006
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The Shadegan Wetland is a Ramsar-listed wetland in the south-west of Iran at the head of the Persian Gulf. It is the largest wetland of Iran covering about 400,000 hectares. The wetland plays a significant hydrological and ecological role in the natural functioning of the northern Gulf. It also supports a very diverse flora and fauna and is the most important site in the world for Marbled Teal. The water regime is threatened by upstream abstraction of water for irrigation and the saline discharge from sugar cane industries and irrigation schemes. This will result in an overall reduction in wetland water quantity and quality, leading to a change in plant community composition. This paper investigates how much water is required to maintain the wetland health and the best management options to fulfill this requirement. Considering the lack of field data, using remote sensing (NOAA_AVHRR images with 1.1 km resolution), wetland monthly water surface and biomass during the 15 years before dam construction were traced. Then using these data wetland environmental water requirements was determined in 3 levels. Also the best hydrological regime that could conserve minimum requirements of vegetation cover, Marbled Teal, and flooding conditions were set as the hydrological regime with exceedance probability of 60% that is equal to 2766 MCM/y (level 3).

ACS Style

S. Sima; M. Tajrishy. Water Allocation for Wetland Environmental Water Requirements: The Case of Shadegan Wetland, Jarrahi Catchment, Iran. World Environmental and Water Resource Congress 2006 2006, 1 -10.

AMA Style

S. Sima, M. Tajrishy. Water Allocation for Wetland Environmental Water Requirements: The Case of Shadegan Wetland, Jarrahi Catchment, Iran. World Environmental and Water Resource Congress 2006. 2006; ():1-10.

Chicago/Turabian Style

S. Sima; M. Tajrishy. 2006. "Water Allocation for Wetland Environmental Water Requirements: The Case of Shadegan Wetland, Jarrahi Catchment, Iran." World Environmental and Water Resource Congress 2006 , no. : 1-10.

Proceedings article
Published: 01 July 2005 in Impacts of Global Climate Change
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The Latian dam is located on the Jajrood River in the northeast of Tehran the capital of Iran. It is one of the most important water supply reservoirs in this city and supplies 30 percent of the total water demand of 11 million people in this city. This research measures phosphorus release from sediments of Latian Dam and the role of the tubifex in phosphorus release. Because of sediment composition variation, sediment sample were taken from two points in the Latian dam. The sediments were analyzed for total phosphorus, the form of phosphorus and release rate under different conditions of water column and the absence or present of tubifex. The results show that the amount of phosphorus are equal in the two points of the dam but the sediments that have clay in their texture have a greater phosphorus release rate than the sediments that have sand in their texture in anoxic periods. Furthermore in the Latian Reservoir the tubifex has been shown to contribute significantly to the phosphorus release.

ACS Style

S. Isazadeh; M. Tajrishy; A. Nazari; A. Abrishamchy. A Laboratory Study of Sediment Phosphorus Flux in the Latian Dam Reservoir. Impacts of Global Climate Change 2005, 1 .

AMA Style

S. Isazadeh, M. Tajrishy, A. Nazari, A. Abrishamchy. A Laboratory Study of Sediment Phosphorus Flux in the Latian Dam Reservoir. Impacts of Global Climate Change. 2005; ():1.

Chicago/Turabian Style

S. Isazadeh; M. Tajrishy; A. Nazari; A. Abrishamchy. 2005. "A Laboratory Study of Sediment Phosphorus Flux in the Latian Dam Reservoir." Impacts of Global Climate Change , no. : 1.