Eduardo Cassiraga

Universitat Politècnica de València

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J. Jaime Gómez‐Hernández

Universitat Politècnica de València

Javier Rodrigo-Ilarri

Universitat Politècnica de València

Andrés Sahuquillo

Universitat Politècnica de València

María-Elena Rodrigo-Clavero

Universitat Politècnica de València

David Sanz

Hospital General Universitario Gregorio Marañón

Juan José Gómez Alday

University of Castilla-La Mancha

Oscar David Álvarez‐Villa

Vanderbilt University

Daniel Sempere‐Torres

Universitat Politècnica de Catalunya

Pablo Gustavo Romanazzi

Universidad Nacional de La Plata

Iordanka Dountcheva

University of Castilla-La Mancha

Cooperative Institutions

Universitat Politècnica de València

Universitat de València

University of Castilla-La Mancha

Universitat Politècnica de Catalunya

Universidad Nacional de Colombia

Centro de Estudios y Experimentación de Obras Públicas

Hospital General Universitario de Albacete

Universidad Politécnica de Madrid

Centre National de la Recherche Scientifique

John Wiley & Sons (United States)

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Assessment of groundwater contamination by chlorpyrifos using the PWC model in Valencia Region (Spain)

Ricardo Pérez Indoval Javier Rodrigo-Ilarri Eduardo Cassiraga

Chlorpyrifos is commoly used as an pesticide to control weeds and prevent nondesirable grow of algae, fungi and bacteria in many agricultural applications. Despite its highly negative effects on human health, environmental modeling of this kind of pesticide in the groundwater is not commonly done in real situations. Predicting the fate of pesticides released into the natural environment is necessary to anticipate and minimize adverse effects both at close and long distances from the contamination source. A number of models have been developed to predict the behavior, mobility, and persistence of pesticides. These models should account for key hydrological and agricultural processes, such as crop growth, pesticide application patterns, transformation processes and field management practices.This work shows results obtained by the Pesticide Water Calculator (PWC) model to simulate the behavior of chlorpyrifos. PWC model is used as a standard pesticide simulation model in USA and in this work it has been used to&#160; simulate the fate and transport of chlorpyrifos in the unsaturated zone of the aquifer. The model uses a whole set of parameters to solve a modified version of the mass transport equation considering the combined effect of advection, dispersion and reactive transport processes. PWC is used to estimate the daily concentrations of chlorpyrifos in the Bu&#241;ol-Cheste aquifer in Valencia Region(Spain).A whole set of simulation scenarios have been designed to perform a parameter sensitivity analysis. Results of the PWC model obtained in this study represents a crucial first step towards the development of a pesticide risk assessment in Valencia Region. Results show that numerical simulation is a valid tool for the analysis and prediction of the fate&#160; and transport of pesticides in the groundwater.

10.5194/egusphere-egu21-9514

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Geostatistics for Mapping Leaf Area Index over a Cropland Landscape: Efficiency Sampling Assessment

Remote Sensing (2010)

Beatriz Martínez Eduardo Cassiraga Fernando Camacho Francisco Javier Garcı́a-Haro

This paper evaluates the performance of spatial methods to estimate leaf area index (LAI) fields from ground-based measurements at high-spatial resolution over a cropland landscape. Three geostatistical model variants of the kriging technique, the ordinary kriging (OK), the collocated cokriging (CKC) and kriging with an external drift (KED) are used. The study focused on the influence of the spatial sampling protocol, auxiliary information, and spatial resolution in the estimates. The main advantage of these models lies in the possibility of considering the spatial dependence of the data and, in the case of the KED and CKC, the auxiliary information for each location used for prediction purposes. A high-resolution NDVI image computed from SPOT TOA reflectance data is used as an auxiliary variable in LAI predictions. The CKC and KED predictions have proven the relevance of the auxiliary information to reproduce the spatial pattern at local scales, proving the KED model to be the best estimator when a non-stationary trend is observed. Advantages and limitations of the methods in LAI field predictions for two systematic and two stratified spatial samplings are discussed for high (20 m), medium (300 m) and coarse (1 km) spatial scales. The KED has exhibited the best observed local accuracy for all the spatial samplings. Meanwhile, the OK model provides comparable results when a well stratified sampling scheme is considered by land cover.

Geostatistics

Land Cover

10.3390/rs2112584

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Citations (14)

Modelling fate and transport of pesticides: the case study of the contamination in Valencia aquifers.

Ricardo Pérez Indoval Eduardo Cassiraga Javier Rodrigo-Ilarri

Predicting the fate of pesticides released into the natural environment is necessary to anticipate and minimize adverse effects far from the contamination source. These effects arise due to the movement of pesticides in surface water and can take place via drift, surface runoff and subsurface flow. A number of models have been developed to predict the behavior, mobility, and persistence of pesticides. These models should account for key hydrological processes, such as crop growth, pesticide application, transformation processes and field management practices.In this work, Pesticide Water Calculator PWC model developed by the U.S. Environmental Protection Agency (USEPA) is applied to simulate the fate and transport of pesticides in the unsaturated zone of an aquifer. The model is used to estimate the daily concentrations of pesticides in the Valencia aquifers (Spain). In these aquifers, pesticide concentration values have been found to be greater than the Maximum Concentration Levels (MCLs) established by Spanish Legislation.The simulations carried out in this work address different environmental scenarios and include a sensitivity analysis of the parameters used in the model. Results of the PWC model provide a crucial first step towards the development of pesticide risk assessment in Valencia region. Results also show that numerical simulation is a valid tool for the analysis and prediction of the fate and transport of pollutants in soil and groundwater.

10.5194/egusphere-egu2020-21704

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Predictive analysis of urban waste generation for the city of Bogotá, Colombia, through the implementation of decision trees-based machine learning, support vector machines and artificial neural networks

Heliyon (2019)

Johanna Karina Solano Meza David Orjuela Yepes Javier Rodrigo-Ilarri Eduardo Cassiraga

This study presents an analysis of three models associated with artificial intelligence as tools to forecast the generation of urban solid waste in the city of Bogotá, in order to learn about this type of waste's behavior. The analysis was carried out in such a manner that different efficient alternatives are presented. In this paper, a possible decision-making strategy was explored and implemented to plan and design technologies for the stages of collection, transport and final disposal of waste in cities, while taking into account their particular characteristics. The first model used to analyze data was the decision tree which employed machine learning as a non-parametric algorithm that models data separation limitations based on the learning decision rules on the input characteristics of the model. Support vector machines were the second method implemented as a forecasting model. The primary advantage of support vector machines is their proper adjustment to data despite its variable nature or when faced with problems with a small amount of training data. Lastly, recurrent neural network models to forecast data were implemented, which yielded positive results. Their architectural design is useful in exploring temporal correlations among the same. Distribution by collection zone in the city, socio-economic stratification, population, and quantity of solid waste generated in a determined period of time were factors considered in the analysis of this forecast. The results found that support vector machines are the most appropriate model for this type of analysis.

10.1016/j.heliyon.2019.e02810

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Citations (96)

Incorporating Geophysical Information: Which Method to Use?

Quantitative geology and geostatistics (1997)

Eduardo Cassiraga J. Jaime Gómez‐Hernández

10.1007/978-94-011-5726-1_50

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Citations (3)

Towards a More Efficient Simulation of Surface-Groundwater Interaction in Conjunctive Use Systems: Selective Compression and Modal Masking in the Eigenvalue Method

Lecture notes in earth system sciences (2013)

Oscar David Álvarez‐Villa Eduardo Cassiraga Andrés Sahuquillo

10.1007/978-3-642-32408-6_97

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Citations (1)

Rational Lanczos Reduction of Groundwater Flow Models to Perform Efficient Simulations of Surface-Ground Water Interaction in Conjunctive Use Systems

Lecture notes in earth system sciences (2013)

Oscar David Álvarez‐Villa Eduardo Cassiraga Andrés Sahuquillo

Krylov subspace

Lanczos algorithm

10.1007/978-3-642-32408-6_98

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Citations (0)

Performance assessment of solute transport upscaling methods in the context of nuclear waste disposal

International Journal of Rock Mechanics and Mining Sciences (2005)

Eduardo Cassiraga Daniel Fernàndez‐Garcia J. Jaime Gómez‐Hernández

Stochastic modelling

10.1016/j.ijrmms.2005.03.013

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Citations (19)

Assessing 1D Hydrodynamic Modeling of Júcar River Behavior in Mancha Oriental Aquifer Domain (SE Spain)

Water (2023)

Iordanka Dountcheva David Sanz Philip Penchev Eduardo Cassiraga Vassil Galabov

In times of population growth, climate change, and increasing water scarcity around the world, it is important to take an objective look at water, a fundamental resource for life. Hydrodynamic modeling makes possible the research of different aspects of the water cycle and the evaluation of different hydrological and hydrogeological forecasting scenarios in the short and medium terms. The present research offers a more detailed scope at the hydrodynamic processes and their space-time distributions on a UE pilot in the Júcar River Basin, providing a calibrated and validated hydrodynamic model of 121 km river reach for 45 years period (1974–2019) on a daily scale. The obtained information is about discharge and water depths along the Júcar River reach within the hydrogeological boundaries of the Mancha Oriental Aquifer (MOA). The river–aquifer interactions have been represented as dynamic boundary conditions expressed as a difference between observed discharges measured in 3 gauging stations. The obtained calibration error performance evaluations of observed and simulated values cover two periods, according to observed data availability from gauging station 08036 with resulting R2 for both discharges and water depths over 0.96. The model validation results were obtained for a different gauge 08132 and the determination coefficients R2 also perform very well with value of 0.90. The model developed might be useful for decision making in water resources management and can be used to generate simulated time series of water depths, levels, discharges, and velocities in reaches where gauging measurements are not available with a desired space-time resolution (from meter/second to kilometer/month). Estimation of critical discharge value (1.973 m3s−1) for system equilibrium, based on the balance between losing and gaining sub-reaches of the river, is also made with a statistical significance at 95% for hydrologic years 2007–2010, period influenced by restrictions in groundwater withdrawals. The results of the present research are important for the proper and objective management of the scarce water resources on a watershed scale in Júcar River Basin, a complex case study representing semiarid climate, growing anthropogenic pressures, and complex river–aquifer interactions. The used approach of dynamic representation of the river–aquifer interactions as distributed source boundary condition in the one-dimensional hydrodynamic model might be applied in another study case on similar scale.

Water cycle

10.3390/w15030485

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Identifying non‐stationary and long‐term river–aquifer interactions as a response to large climatic patterns and anthropogenic pressures using wavelet analysis (Mancha Oriental Aquifer, Spain)

Hydrological Processes (2020)

Iordanka Dountcheva David Sanz Eduardo Cassiraga Vassil Galabov Juan José Gómez Alday

Abstract The objective of this study was to analyse periodicities and the long‐term variability of monthly Júcar River–Mancha Oriental Aquifer interactions (RAI) and regionally measured precipitation (PP) with special focus on the correlations between these local hydrological variables and the large climatic patterns governing the Iberian Peninsula, represented by their teleconnection indices – the North Atlantic Oscillation index (NAOi) and the Western Mediterranean Oscillation index (WeMOi). To that end, wavelet analysis has been applied since it not only provides insight into the time‐series dynamics but also permits statistical interpretation and correlation analysis. As a result, several periodicities have been detected: intermittent semi‐annual periodicity in PP and the NAOi and annual periodicity in the RAI, NAOi and WeMOi time series. Long cycles (approximately 14 years) are also observed in the PP and WeMOi time series. The cross‐wavelet spectra show a correlation between the RAI and the rest of the variables on the semi‐annual and the annual scales, while wavelet coherence detects common behaviour with longer cycles – 5–6 years between the NAOi and the RAI and cycles of both 1–5 years and 7–10 years between PP and the RAI. Furthermore, results show that the periodicities in the teleconnection indices and precipitation propagate into the RAI with certain lead times: 3 months between the RAI and PP and 6 months between the RAI and the NAOi. The results indicate that the detected periodicities and the coherence between the studied variables could have applications in strategic planning on a river basin scale, taking into account the propagation times and the frequency scale. This methodological approach can be applied into strategic water resource planning independently of the geographical location of the hydrogeological system, the basin size and the climate region.

Teleconnection

Multivariate ENSO index

10.1002/hyp.13934

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Citations (4)