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In the context of efficient and sustainable management of the elements of the urban water cycle as an aim of the Water Framework Directive (WFD), the evaluation of indicators such as the water footprint (WF) and the carbon footprint (CF) in a wastewater treatment plant (WWTP) provides a quantification of the environmental impact, both negative and positive, which implies its exploitation. In this study, in addition to WF and CF quantification, a joint evaluation of both indicators was conducted. Consumption is indicated by the blue water footprint (WFBlue) and emissions by CF. Both are related to the operational grey water footprint (∆WFG,mef) in two ratios, WFR and CFR. In this way, the water consumed and gases emitted are measured according to the reduction range of the pollutant load of the discharge. The results for four WWTPs show operational scenarios for better management in accordance with the WFD.
Eva Gómez-Llanos; Agustín Matías-Sánchez; Pablo Durán-Barroso. Wastewater Treatment Plant Assessment by Quantifying the Carbon and Water Footprint. Water 2020, 12, 3204 .
AMA StyleEva Gómez-Llanos, Agustín Matías-Sánchez, Pablo Durán-Barroso. Wastewater Treatment Plant Assessment by Quantifying the Carbon and Water Footprint. Water. 2020; 12 (11):3204.
Chicago/Turabian StyleEva Gómez-Llanos; Agustín Matías-Sánchez; Pablo Durán-Barroso. 2020. "Wastewater Treatment Plant Assessment by Quantifying the Carbon and Water Footprint." Water 12, no. 11: 3204.
Sustainable Development Goals (SDGs) reflect the relationship among social, economic, and environmental aspects of society. Massive online open courses (MOOCs) represent an opportunity to promote lifelong learning (SDG 4), complementing university education or providing knowledge to society free and openly. The objective of this work is to analyze experiences in one MOOC about wastewater treatment applied to higher education in civil engineering (SDG 6). The proposed educational methodology and the achieved participation results are studied. The MOOC had three editions and was hosted on the Miríadax platform. Data about sociodemographic characteristics, initial motivation, and satisfaction level were collected from questionnaires. The results highlighted the importance of design decisions to obtain a high completion rate: defining a target audience, without prejudice to the course’s open character, where the prior knowledge of students is crucial. The teaching methodology is based on autonomous and progressive learning, with short and direct master classes, social support, with the motivation of students to continue their training with opening complementary topics in the forums, following up on their doubts, and their combination with social networks.
Eva Gómez-Llanos; Pablo Durán-Barroso. Learning Design Decisions in Massive Open Online Courses (MOOC) Applied to Higher Education in Civil-Engineering Topics. Sustainability 2020, 12, 8430 .
AMA StyleEva Gómez-Llanos, Pablo Durán-Barroso. Learning Design Decisions in Massive Open Online Courses (MOOC) Applied to Higher Education in Civil-Engineering Topics. Sustainability. 2020; 12 (20):8430.
Chicago/Turabian StyleEva Gómez-Llanos; Pablo Durán-Barroso. 2020. "Learning Design Decisions in Massive Open Online Courses (MOOC) Applied to Higher Education in Civil-Engineering Topics." Sustainability 12, no. 20: 8430.
The analysis of social awareness about water consumption represents an essential tool for water efficiency and decision-making procedures in line with the challenges that emerged by water scarcity. The present study focuses on evaluating the perception of sustainable water consumption (SWC), considering the direct and indirect water consumption through the Water Footprint (WF) indicator and the information about the nexus between urban services and water uses. Based on the norm activation model (NAM) proposed by Schwartz (1977), this research evaluates the perception of the water footprint of different aspects of water consumption and the dependence of this perception on individual water consumption, direct or indirect, and municipal services. The methodology applied to analyse the structural model was the Structural Equation Modelling (SEM). The sample is composed of consumers in the Extremadura region, Spain. The results of the survey show that SWC is influenced by Water Consumption Services (WCS), Indirect domestic Water Consumption (IWC), and Direct domestic Water Consumption (DWC). The model was tested at a confidence level higher than 99.9% with a moderated explanatory capacity (R2 = 55.7%). Besides, the model indicates the benefit of using WF as an activating tool for decision making highlighted in the NAM considered, in other words, the knowledge about WF influences positively in responsible behaviour with water consumption.
Eva Gómez-Llanos; Pablo Durán-Barroso; Rafael Robina-Ramírez. Analysis of consumer awareness of sustainable water consumption by the water footprint concept. Science of The Total Environment 2020, 721, 137743 .
AMA StyleEva Gómez-Llanos, Pablo Durán-Barroso, Rafael Robina-Ramírez. Analysis of consumer awareness of sustainable water consumption by the water footprint concept. Science of The Total Environment. 2020; 721 ():137743.
Chicago/Turabian StyleEva Gómez-Llanos; Pablo Durán-Barroso; Rafael Robina-Ramírez. 2020. "Analysis of consumer awareness of sustainable water consumption by the water footprint concept." Science of The Total Environment 721, no. : 137743.
In forested watersheds, density, land cover, and its vertical structure are crucial factors for flood management, ecosystem monitoring, and biomass inventory. Nowadays, producing land cover maps with high accuracy has become a reality with the application of remote sensing techniques, but in some situations, it is not so easy to distinguish between the overstory and understory vegetation with only spectral information. The main goal of this study was to analyze the accuracy enhancement in overstory and understory land cover mapping at the watershed scale when using the data fusion of seasonal and annual time series of Sentinel-2 images complemented with low-density LiDAR and soil and vegetation indices. The study area was composed by two neighboring watersheds in Badajoz province (Spain). The accuracy of land cover classifications was trained in two ways: first, for each season and several soil-vegetation indices; and second, for the annual series and soil-vegetation indices. Next, LiDAR data were included in both analyses by means of a Boolean metric concerning the height. The obtained results showed that the overall accuracy was better with the annual evaluation when only spectral information was used for the classification. Additionally, if LiDAR data were included in the classification (data fusion), the overall accuracies were highly improved, especially in summer and autumn seasons. This improvement can be a significant issue in the analysis of vegetation structure and its spatial distribution as it is decisive for watershed ecosystem management.
Laura Fragoso-Campón; Elia Quirós; Julián Mora; José Antonio Gutiérrez Gallego; Pablo Durán-Barroso. Overstory-understory land cover mapping at the watershed scale: accuracy enhancement by multitemporal remote sensing analysis and LiDAR. Environmental Science and Pollution Research 2019, 27, 75 -88.
AMA StyleLaura Fragoso-Campón, Elia Quirós, Julián Mora, José Antonio Gutiérrez Gallego, Pablo Durán-Barroso. Overstory-understory land cover mapping at the watershed scale: accuracy enhancement by multitemporal remote sensing analysis and LiDAR. Environmental Science and Pollution Research. 2019; 27 (1):75-88.
Chicago/Turabian StyleLaura Fragoso-Campón; Elia Quirós; Julián Mora; José Antonio Gutiérrez Gallego; Pablo Durán-Barroso. 2019. "Overstory-understory land cover mapping at the watershed scale: accuracy enhancement by multitemporal remote sensing analysis and LiDAR." Environmental Science and Pollution Research 27, no. 1: 75-88.
From ecological and economic perspectives, current demands on freshwater management require the assessment of human water resource activities and urban water cycle impacts. The need to measure and control the quality of water returned to the environment is critical to evaluations of the efficiencies and sustainable management of wastewater treatment plants (WWTPs). This paper proposes a management assessment framework based on blue and grey water footprint (WF) to study the treatment and disposal of wastewater in WWTPs and the efficiencies achieved when purifying water resources. The proposed methodology illustrates the beneficial role of WF for optimizing WWTPs. The value of WF is reduced under current operations with respect to the no-treatment scenario. The new indicator “operational grey water footprint” is proposed to assess the improvement of the effluent quality, which is achieved thanks to the WWTP, regarding to the standards imposed by the regulations. This new indicator allows both stakeholder and authorities to estimate which are the quality margins in the WWTP operational activity. After applying this new procedure and indicators to two WWTPs employing activate sludge as a secondary treatment and with similar population equivalents (PE), the plants’ efficiencies are highlighted.
Eva Gómez-Llanos; Pablo Durán-Barroso; A. Matías Sánchez. Management effectiveness assessment in wastewater treatment plants through a new water footprint indicator. Journal of Cleaner Production 2018, 198, 463 -471.
AMA StyleEva Gómez-Llanos, Pablo Durán-Barroso, A. Matías Sánchez. Management effectiveness assessment in wastewater treatment plants through a new water footprint indicator. Journal of Cleaner Production. 2018; 198 ():463-471.
Chicago/Turabian StyleEva Gómez-Llanos; Pablo Durán-Barroso; A. Matías Sánchez. 2018. "Management effectiveness assessment in wastewater treatment plants through a new water footprint indicator." Journal of Cleaner Production 198, no. : 463-471.
Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; José María Maya-Manzano; Ángela Gonzalo-Garijo; Alejandro Monroy-Colin. Environmental assessment of allergenic risk provoked by airborne grass pollen through forecast model in a Mediterranean region. Journal of Cleaner Production 2018, 176, 1304 -1315.
AMA StyleSantiago Fernández-Rodríguez, Pablo Durán-Barroso, Inmaculada Silva-Palacios, Rafael Tormo-Molina, José María Maya-Manzano, Ángela Gonzalo-Garijo, Alejandro Monroy-Colin. Environmental assessment of allergenic risk provoked by airborne grass pollen through forecast model in a Mediterranean region. Journal of Cleaner Production. 2018; 176 ():1304-1315.
Chicago/Turabian StyleSantiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; José María Maya-Manzano; Ángela Gonzalo-Garijo; Alejandro Monroy-Colin. 2018. "Environmental assessment of allergenic risk provoked by airborne grass pollen through forecast model in a Mediterranean region." Journal of Cleaner Production 176, no. : 1304-1315.
Energy recovery in water supply systems (WSS) is environmentally friendly, since it is a renewable energy based on exploiting the excess pressure existing in water pipes for obtaining electricity. This paper presents the methodology development for the identification of the hydropower potential in WSS and the possible installations by means of a Matlab rutine. The results showed the interactions among the design flow and maximum head have provided the possible scenarios with electric potential and the selection of possible turbines. The methodology proposed allows determining the suitability of electricity production in the urban water cycle by MHPs, in order to avoid the need for the installation of dissipation devices for this energy.
Eva Gómez-Llanos; Juana Arias-Trujillo; Pablo Durán-Barroso; José M. Ceballos-Martínez; Jesús A. Torrecilla-Pinero; Carlos Urueña-Fernández; Miguel Candel-Pérez. Hydropower Potential Assessment in Water Supply Systems. Proceedings 2018, 2, 1299 .
AMA StyleEva Gómez-Llanos, Juana Arias-Trujillo, Pablo Durán-Barroso, José M. Ceballos-Martínez, Jesús A. Torrecilla-Pinero, Carlos Urueña-Fernández, Miguel Candel-Pérez. Hydropower Potential Assessment in Water Supply Systems. Proceedings. 2018; 2 (20):1299.
Chicago/Turabian StyleEva Gómez-Llanos; Juana Arias-Trujillo; Pablo Durán-Barroso; José M. Ceballos-Martínez; Jesús A. Torrecilla-Pinero; Carlos Urueña-Fernández; Miguel Candel-Pérez. 2018. "Hydropower Potential Assessment in Water Supply Systems." Proceedings 2, no. 20: 1299.
Small-scale hydropower plants (SHP), and in particular the micro-hydropower plants (MHP) and pico-hydropower plants (PHP), are considering as an alternative energy resource based on the hydroelectric potential available in urban water cycle because of the excess of pressure existing in some urban water supply systems (WSS). Nowadays, pressure-reducing valves are necessary to reduce water pressure in WSS, so the use of a pump as turbine (PAT) can be considered as a proper way for reaching both an enough water head reduction and a hydropower generation possibility (self-consumption or energy recovery). MHPs are based on existing hydraulic resources where the PAT location is necessary, especially in those points with an excess of energy, which derives in an extra cost in terms of conservation and maintenance of the infrastructure or lead to the necessary installation of dissipation devices. The locations of these points are strongly influenced by the geographical and hydrological conditions, so a Geographic Information System (GIS) is a very useful tool for implementation of SHP and MHP or PHP projects. This paper describes the assessment and comparison of the methodology followed in the SHP and MHP locations: necessary data, GIS development, hydrologic model and hydropower potential.
Eva Gómez-Llanos; Pablo Durán-Barroso; Juana Arias-Trujillo; Jose M. Ceballos-Martínez; Jesús A. Torrecilla-Pinero; Miguel Candel-Pérez. Small and Micro-Hydropower Plants Location by Using Geographic Information System. Proceedings 2018, 2, 1300 .
AMA StyleEva Gómez-Llanos, Pablo Durán-Barroso, Juana Arias-Trujillo, Jose M. Ceballos-Martínez, Jesús A. Torrecilla-Pinero, Miguel Candel-Pérez. Small and Micro-Hydropower Plants Location by Using Geographic Information System. Proceedings. 2018; 2 (20):1300.
Chicago/Turabian StyleEva Gómez-Llanos; Pablo Durán-Barroso; Juana Arias-Trujillo; Jose M. Ceballos-Martínez; Jesús A. Torrecilla-Pinero; Miguel Candel-Pérez. 2018. "Small and Micro-Hydropower Plants Location by Using Geographic Information System." Proceedings 2, no. 20: 1300.
Mapping land cover with high accuracy has become a reality with the application of current remote sensing techniques. Due to the specific spectral response of the vegetation, soil and vegetation indices are adequate tools to help in the discrimination of land uses. Additionally, the accuracy of satellite imagery classification can be improved using multitemporal series combined with LiDAR data. This datafusion takes advantage of the information provided by LiDAR for the vegetation cover density, and the capability of multispectral data to detect the type of vegetation. The main goal of this study is to analyze the accuracy enhancement in land cover classification of two forested watersheds when using datafusion of annual time series of Sentinel-2 images complemented with low density LiDAR. The obtained results show that overall accuracy is better if LiDAR data is included in the classification. This improvement can be a significant issue in land cover classification of forest watershed due to relationship and influence that vegetation cover has on runoff estimation.
Laura Fragoso-Campón; Elia Quirós; Julián Mora; José Antonio Gutiérrez; Pablo Durán-Barroso. Accuracy Enhancement for Land Cover Classification Using LiDAR and Multitemporal Sentinel 2 Images in a Forested Watershed. Proceedings 2018, 2, 1280 .
AMA StyleLaura Fragoso-Campón, Elia Quirós, Julián Mora, José Antonio Gutiérrez, Pablo Durán-Barroso. Accuracy Enhancement for Land Cover Classification Using LiDAR and Multitemporal Sentinel 2 Images in a Forested Watershed. Proceedings. 2018; 2 (20):1280.
Chicago/Turabian StyleLaura Fragoso-Campón; Elia Quirós; Julián Mora; José Antonio Gutiérrez; Pablo Durán-Barroso. 2018. "Accuracy Enhancement for Land Cover Classification Using LiDAR and Multitemporal Sentinel 2 Images in a Forested Watershed." Proceedings 2, no. 20: 1280.
The Natural Resources Conservation Service Curve Number model is one of the most recognizable procedures in the field of rainfall–run-off estimation. It has been widely applied for different purposes in hydrological models. In spite of its widespread use, some uncertainties have not even clarified and must be examined for its proper application. Particularly, choosing the most representative rainfall–run-off events, and the coefficient λ that relates the parameters of the model (curve number CN and initial ion Ia). In this research, an advanced analysis is developed to evaluate the influence of λ for a set of representative watersheds of the Agricultural Research Service of the United Stated Department of Agriculture. They are characterized by different soil properties, land uses, and climatic conditions. Finally, 2 novel methodologies for the selection of the most representative rainfall–run-off events and for the adaptation of coefficient λ are included, based on the pattern of rainfall distribution.
Pablo Durán-Barroso; Javier González; Juan B. Valdés. Sources of uncertainty in the NRCS CN model: Recognition and solutions. Hydrological Processes 2017, 31, 3898 -3906.
AMA StylePablo Durán-Barroso, Javier González, Juan B. Valdés. Sources of uncertainty in the NRCS CN model: Recognition and solutions. Hydrological Processes. 2017; 31 (22):3898-3906.
Chicago/Turabian StylePablo Durán-Barroso; Javier González; Juan B. Valdés. 2017. "Sources of uncertainty in the NRCS CN model: Recognition and solutions." Hydrological Processes 31, no. 22: 3898-3906.
Aim of study: The goal of this study is to analyse variations in curve number (CN) values produced by different cartographic data sources in a forested watershed, and determine which of them best fit with measured runoff volumes.Area of study: A forested watershed located in western Spain.Material and methods: Four digital cartographic data sources were used to determine the runoff CN in the watershed.Main results: None of the cartographic sources provided all the information necessary to determine properly the CN values. Our proposed methodology, focused on the tree canopy cover, improves the achieved results.Research highlights: The estimation of the CN value in forested areas should be attained as a function of tree canopy cover and new calibrated tables should be implemented in a local scale.
Laura Fragoso; Elia Quirós; Pablo Durán-Barroso. Resource communication: Variability in estimated runoff in a forested area based on different cartographic data sources. Forest Systems 2017, 26, eRC02 .
AMA StyleLaura Fragoso, Elia Quirós, Pablo Durán-Barroso. Resource communication: Variability in estimated runoff in a forested area based on different cartographic data sources. Forest Systems. 2017; 26 (2):eRC02.
Chicago/Turabian StyleLaura Fragoso; Elia Quirós; Pablo Durán-Barroso. 2017. "Resource communication: Variability in estimated runoff in a forested area based on different cartographic data sources." Forest Systems 26, no. 2: eRC02.
Pablo Durán-Barroso; Javier González; Juan B. Valdés. Improvement of the integration of Soil Moisture Accounting into the NRCS-CN model. Journal of Hydrology 2016, 542, 809 -819.
AMA StylePablo Durán-Barroso, Javier González, Juan B. Valdés. Improvement of the integration of Soil Moisture Accounting into the NRCS-CN model. Journal of Hydrology. 2016; 542 ():809-819.
Chicago/Turabian StylePablo Durán-Barroso; Javier González; Juan B. Valdés. 2016. "Improvement of the integration of Soil Moisture Accounting into the NRCS-CN model." Journal of Hydrology 542, no. : 809-819.
Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; José María Maya-Manzano; M. Ángeles Gonzalo-Garijo. Forecast model of allergenic hazard using trends of Poaceae airborne pollen over an urban area in SW Iberian Peninsula (Europe). Natural Hazards 2016, 84, 121 -137.
AMA StyleSantiago Fernández-Rodríguez, Pablo Durán-Barroso, Inmaculada Silva-Palacios, Rafael Tormo-Molina, José María Maya-Manzano, M. Ángeles Gonzalo-Garijo. Forecast model of allergenic hazard using trends of Poaceae airborne pollen over an urban area in SW Iberian Peninsula (Europe). Natural Hazards. 2016; 84 (1):121-137.
Chicago/Turabian StyleSantiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; José María Maya-Manzano; M. Ángeles Gonzalo-Garijo. 2016. "Forecast model of allergenic hazard using trends of Poaceae airborne pollen over an urban area in SW Iberian Peninsula (Europe)." Natural Hazards 84, no. 1: 121-137.
Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; José María Maya-Manzano; Ángela Gonzalo-Garijo. Quercus long-term pollen season trends in the southwest of the Iberian Peninsula. Process Safety and Environmental Protection 2016, 101, 152 -159.
AMA StyleSantiago Fernández-Rodríguez, Pablo Durán-Barroso, Inmaculada Silva-Palacios, Rafael Tormo-Molina, José María Maya-Manzano, Ángela Gonzalo-Garijo. Quercus long-term pollen season trends in the southwest of the Iberian Peninsula. Process Safety and Environmental Protection. 2016; 101 ():152-159.
Chicago/Turabian StyleSantiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; José María Maya-Manzano; Ángela Gonzalo-Garijo. 2016. "Quercus long-term pollen season trends in the southwest of the Iberian Peninsula." Process Safety and Environmental Protection 101, no. : 152-159.
The olive tree (Olea europaea) is a predominantly Mediterranean anemophilous species. The pollen allergens from this tree are an important cause of allergic problems. Olea pollen may be relevant in relation to climate change, due to the fact that its flowering phenology is related to meteorological parameters. This study aims to investigate airborne Olea pollen data from a city on the SW Iberian Peninsula, to analyse the trends in these data and their relationships with meteorological parameters using time series analysis. Aerobiological sampling was conducted from 1994 to 2013 in Badajoz (SW Spain) using a 7-day Hirst-type volumetric sampler. The main Olea pollen season lasted an average of 34 days, from May 4th to June 7th. The model proposed to forecast airborne pollen concentrations, described by one equation. This expression is composed of two terms: the first term represents the resilience of the pollen concentration trend in the air according to the average concentration of the previous 10 days; the second term was obtained from considering the actual pollen concentration value, which is calculated based on the most representative meteorological variables multiplied by a fitting coefficient. Due to the allergenic characteristics of this pollen type, it should be necessary to forecast its short-term prevalence using a long record of data in a city with a Mediterranean climate. The model obtained provides a suitable level of confidence to forecast Olea airborne pollen concentration.
Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; Jose María Maya Manzano; M. Ángeles Gonzalo-Garijo. Regional forecast model for the Olea pollen season in Extremadura (SW Spain). International Journal of Biometeorology 2016, 60, 1509 -1517.
AMA StyleSantiago Fernández-Rodríguez, Pablo Durán-Barroso, Inmaculada Silva-Palacios, Rafael Tormo-Molina, Jose María Maya Manzano, M. Ángeles Gonzalo-Garijo. Regional forecast model for the Olea pollen season in Extremadura (SW Spain). International Journal of Biometeorology. 2016; 60 (10):1509-1517.
Chicago/Turabian StyleSantiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; Jose María Maya Manzano; M. Ángeles Gonzalo-Garijo. 2016. "Regional forecast model for the Olea pollen season in Extremadura (SW Spain)." International Journal of Biometeorology 60, no. 10: 1509-1517.
The airborne sporangia of Oomycota, including Phytophthora species and other species, are usually recorded by volumetric spore traps. The aim of this work was to create a predictive model for the seasonality and weather parameters that may affect sporangia distribution by analysing their presence over the course of a year. Three Hirst spore traps were located in the SW of Spain (Plasencia, Don Benito and Zafra), and the presence of sporangia was recorded throughout 2012–2013. Phytophthora sporangia were recorded on 76–110 days per year. Autumn and spring were the seasons when the highest concentration peaks of airborne sporangia were recorded; these peaks were recorded on the same day in each of the three locations. When analysing weekly sums of the daily concentration of sporangia, there was a statistically significant correlation between the sporangia concentration and amount of rain in the three locations studied; however, this correlation was not observed when comparing the individual daily concentrations. When comparing the daily concentration to the daily rain levels, the highest correlation coefficient and statistically significant correlation was reached on the second day after rain. The proposed predictive model considered the previous rain to be the main environmental factor. Holm oak and cork oak woods in Plasencia may be responsible for a higher concentration of airborne Phytophthora-type sporangia. Rain seems to have a direct influence on the concentration of airborne sporangia, but the highest concentrations appear on the second day after rain.
Jose María Maya Manzano; Rafael Tormo Molina; Santiago Fernández-Rodríguez; Pablo Duran-Barroso; Inmaculada Silva Palacios; Ángela Gonzalo Garijo. Airborne propagules of Phytophthora and related taxa in SW Spain including a predictive model. European Journal of Plant Pathology 2015, 143, 473 -483.
AMA StyleJose María Maya Manzano, Rafael Tormo Molina, Santiago Fernández-Rodríguez, Pablo Duran-Barroso, Inmaculada Silva Palacios, Ángela Gonzalo Garijo. Airborne propagules of Phytophthora and related taxa in SW Spain including a predictive model. European Journal of Plant Pathology. 2015; 143 (3):473-483.
Chicago/Turabian StyleJose María Maya Manzano; Rafael Tormo Molina; Santiago Fernández-Rodríguez; Pablo Duran-Barroso; Inmaculada Silva Palacios; Ángela Gonzalo Garijo. 2015. "Airborne propagules of Phytophthora and related taxa in SW Spain including a predictive model." European Journal of Plant Pathology 143, no. 3: 473-483.
Cupressaceae includes species cultivated as ornamentals in the urban environment. This study aims to investigate airborne pollen data for Cupressaceae on the southwestern Iberian Peninsula over a 21-year period and to analyse the trends in these data and their relationship with meteorological parameters using time series analysis. Aerobiological sampling was conducted from 1993 to 2013 in Badajoz (SW Spain). The main pollen season for Cupressaceae lasted, on average, 58 days, ranging from 55 to 112 days, from 24 January to 22 March. Furthermore, a short-term forecasting model has been developed for daily pollen concentrations. The model proposed to forecast the airborne pollen concentration is described by one equation. This expression is composed of two terms: the first term represents the pollen concentration trend in the air according to the average concentration of the previous 10 days; the second term is obtained from considering the actual pollen concentration value, which is calculated based on the most representative meteorological parameters multiplied by a fitting coefficient. Temperature was the main meteorological factor by its influence over daily pollen forecast, being the rain the second most important factor. This model represents a good approach to a continuous balance model of Cupressaceae pollen concentration and is supported by a close agreement between the observed and predicted mean concentrations. The novelty of the proposed model is the analysis of meteorological parameters that are not frequently used in Aerobiology.
Inmaculada Silva-Palacios; Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Rafael Tormo-Molina; José María Maya-Manzano; M. Ángeles Gonzalo-Garijo. Temporal modelling and forecasting of the airborne pollen of Cupressaceae on the southwestern Iberian Peninsula. International Journal of Biometeorology 2015, 60, 297 -306.
AMA StyleInmaculada Silva-Palacios, Santiago Fernández-Rodríguez, Pablo Durán-Barroso, Rafael Tormo-Molina, José María Maya-Manzano, M. Ángeles Gonzalo-Garijo. Temporal modelling and forecasting of the airborne pollen of Cupressaceae on the southwestern Iberian Peninsula. International Journal of Biometeorology. 2015; 60 (2):297-306.
Chicago/Turabian StyleInmaculada Silva-Palacios; Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Rafael Tormo-Molina; José María Maya-Manzano; M. Ángeles Gonzalo-Garijo. 2015. "Temporal modelling and forecasting of the airborne pollen of Cupressaceae on the southwestern Iberian Peninsula." International Journal of Biometeorology 60, no. 2: 297-306.