Review
Agronomy
Negash Tessema, Dame Yadeta, Asfaw Kebede, Gebiaw T. Ayele
Summary: The salt problem in Ethiopia is worsened by poor water quality, ineffective water management techniques, and a lack of drainage infrastructure. A systematic review is needed to understand the extent and consequences of the problem. The study reveals that soil and irrigation water salinity significantly affect crops and agricultural communities in Ethiopia, leading to lower agricultural production, food insecurity, and poverty. Without effective measures, the severity of soil and water salinity will impede agricultural production.
Article
Computer Science, Interdisciplinary Applications
G. Lakshmi, K. P. Sudheer
Summary: Distinct calibration for wet and dry periods with fixed discretization patterns may induce anomalies in the water balance of a basin. This study presented a discretization methodology using clustering methods, resulting in improved stream flow simulations and more effective water balance component simulations. The proposed approach demonstrated higher NSE values in Cedar Creek watershed.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Rajat P. Athira
Summary: This study introduces a modified calibration approach for the SWAT model, which improves the process dynamics in the model through constraining parameters and using physically interpretable SWAT model parameters as soft data for calibration. The proposed calibration method is validated in the Little River Experimental Watershed, USA, and the results show that it enhances the process representation and spatial prediction in the model compared to the standard calibration procedure based on streamflow data.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Henrique Haas, Nathan G. F. Reaver, Ritesh Karki, Latif Kalin, Puneet Srivastava, David A. Kaplan, Carlos Gonzalez-Benecke
Summary: Forests play a critical role in the hydrologic cycle and it is important to accurately represent forest dynamics in watershed models. This study focuses on improving the representation of forest dynamics in the widely used Soil and Water Assessment Tool (SWAT) through species-specific re-parameterizations. The results show that the re-parameterized model outperforms the default model in simulating forest dynamics and has significant implications for water yield in the studied sites.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Water Resources
Weimin Gao, Aiquan Dai, Jialin Wu, Yanbin Li, Jin Hou, Xiulin Wang, Keqiang Li
Summary: The Soil and Water Assessment Tool (SWAT) model was used to analyze the runoff, nitrogen, and phosphorus emissions in the Dagu River Basin from 2002 to 2012, providing suggestions for environmental protection measures. Calibration of hydrological parameters was done using data from representative stations and applied to the entire basin. The study identified anthropogenic sources and non-point sources as significant contributors to nitrogen and phosphorus pollution.
APPLIED WATER SCIENCE
(2023)
Article
Agronomy
Arthur Gaillot, Celestine Delbart, Sebastien Salvador-Blanes, Pierre Vanhooydonck, Marc Desmet, Thomas Grangeon, Aurelie Noret, Olivier Cerdan
Summary: Agricultural drainage increases the connectivity between fields and receiving environments. This study investigated the hydrological functioning of a field combining surface and tile drainage. Quantifications of water partition between surface drainage, tile drainage, and soil water were conducted to understand the behavior of the field. The study also examined the contribution of macropores to tile drain runoff and proposed a conceptual model for surface and tile drainage hydrological functioning.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Environmental Sciences
J. Causape, M. J. Gimeno, L. Auque
Summary: Irrigation can accelerate the salinization of geologically saline areas with scarce rainfall. The implementation of irrigation in certain regions has increased the export of salts, with a decrease in the concentrations of certain ions in groundwater after irrigation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Arthur Klebson Belarmino dos Santos, Majken Caroline Looms, Quirijn de Jong van Lier
Summary: Soil hydraulic properties (SHPs) are commonly determined in soil samples, and the merging process of these parameters should consider standard errors and correlation matrix. This study presents a method to merge these parameters and evaluates its effectiveness and representativeness using stochastic realizations.
JOURNAL OF HYDROLOGIC ENGINEERING
(2022)
Article
Environmental Sciences
Leandro Avila, Reinaldo Silveira, Andre Campos, Nathalli Rogiski, Jose Goncalves, Arlan Scortegagna, Camila Freita, Cassia Aver, Fernando Fan
Summary: Hydrological modeling is a valuable tool for water resources management, allowing for the representation of hydrological processes and prediction of streamflow. This study evaluates the performance of five hydrological models in representing streamflow in the Tocantins river basin in Brazil, finding that one model outperforms the others. Additionally, the limitations of lumped models for large river basins are discussed.
Article
Engineering, Civil
L. Berardi, O. Giustolisi
Summary: This study presents a physically based approach for calibrating WDN hydraulic models aimed at supporting leakage management plans from early stages. Research shows that the distribution of leakages in the WDN does not significantly influence pressure values, highlighting the importance of flow measurements at monitoring districts.
WATER RESOURCES MANAGEMENT
(2021)
Article
Environmental Sciences
Yiwen Mei, Juliane Mai, Hong Xuan Do, Andrew Gronewold, Howard Reeves, Sandra Eberts, Richard Niswonger, R. Steven Regan, Randall J. Hunt
Summary: This study uses six different single- and multi-objective model calibration schemes based on different combinations of observed data, such as gaged streamflow, global-scale gridded soil moisture, actual evapotranspiration (ET), and runoff products for the calibration of a process-based hydrological model for 20 catchments in the Lake Michigan watershed. The results show that including gridded soil moisture in the model calibration improves the performance of ET simulation for most catchments, leading to the overall best-performing models. The monthly streamflow simulation performance using gridded runoff products is outperformed by gaged streamflow, but the discrepancy is reduced with increasing catchment scale. A new visualization method synthesizing model performance for streamflow, soil moisture, and ET simulations is proposed.
WATER RESOURCES RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Oscar M. Baez-Villanueva, Mauricio Zambrano-Bigiarini, Pablo A. Mendoza, Ian McNamara, Hylke E. Beck, Joschka Thurner, Alexandra Nauditt, Lars Ribbe, Nguyen Xuan Thinh
Summary: This study examined and compared the performance of three parameter regionalisation techniques in different hydrological regimes across Chile using four gridded daily precipitation (P) products. The results showed that feature similarity provided the best results, followed by spatial proximity, while parameter regression resulted in the worst performance. Model calibration was able to compensate for differences in precipitation forcings to some extent.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Geosciences, Multidisciplinary
Louisa D. Oldham, Jim Freer, Gemma Coxon, Nicholas Howden, John P. Bloomfield, Christopher Jackson
Summary: Groundwater-dominated catchments are crucial for national water resources, but existing conceptual rainfall-runoff models often underperform in these catchments due to the lack of simulation of spatial groundwater behaviors and interactions with surface waters. This study focuses on inferring a perceptual model of intercatchment groundwater flow (IGF) in the river Thames catchment, UK, by analyzing various datasets. The results reveal the prevalence of non-conservative river reaches and the importance of geological variability in determining recharge and discharge points along the river network.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Environmental Sciences
Agbortoko Bate Ashu, Sang-Il Lee
Summary: Understanding hydrological processes using hydrological model parameters is crucial for effective water resources management. This study employed the Soil and Water Assessment Tool (SWAT) model to analyze the water balance in the Yeongsan River Basin, South Korea, which is dominated by summer monsoon rains. A new multi-site calibration approach-based SWAT hydrological model was developed and successfully reproduced the hydrological trend and average discharges of the basin for 42 years. The study also revealed the importance of monsoon rains in sustaining the water supply in the basin.
Article
Environmental Sciences
Lina Mi, Juncang Tian, Jianning Si, Yuchun Chen
Summary: In this study, the changes and mechanisms of the eco-hydrological environment in the Yinchuan Plain were analyzed using water balance and empirical Bayesian kriging methods. The results showed that after nearly 20 years of water-saving efforts, the groundwater depth in the whole Yinchuan Plain increased and there was a slight tendency of salinization in the northern part. Soil salinity also exhibited differentiated trends, with a decrease in the northern part and an increase in the southern part. The NDVI increased, indicating a restoration effect, and the regional ET decreased significantly. These changes were attributed to agricultural water-saving and the decreasing amount of water diversion. Effective water allocation and water-saving policies are urgently needed to adapt to the changing eco-hydrological circulation in the Yinchuan Plain.
REGIONAL ENVIRONMENTAL CHANGE
(2023)
Article
Geochemistry & Geophysics
Maria D. Raya-Sereno, Maria Alonso-Ayuso, Jose L. Pancorbo, Jose L. Gabriel, Carlos Camino, Pablo J. Zarco-Tejada, Miguel Quemada
Summary: This study evaluated the potential of hyperspectral airborne imagers and ground-level sensors to identify nitrogen fertilizer rates and residual nitrogen effects from previous crop fertilization. Results showed that remote sensing was effective in detecting nitrogen rates in early growth stages and had potential to detect residual nitrogen in crop rotation.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Sara Martinez, Jose Luis Gabriel, Sergio Alvarez, Maria Del Mar Delgado
Summary: This study attempts to quantify the institutional Nitrogen Footprint (NF) in Spain, using the research center INIA as a case study. The results show that food and utilities are the largest sources of nitrogen emissions for the research center, while fertilization for groundskeeping and research plots have the least nitrogen loss. By analyzing different strategies, the study provides effective measures to reduce nitrogen pollution for the research center.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Sara Martinez, Jose Luis Gabriel, Raul Allende-Montalban, Raul San-Juan-Heras, Maria del Mar Delgado
Summary: In a circular economy framework, waste valorization in crop production promotes sustainability in the agricultural sector. Applying organic fertilizers to buckwheat crops can improve growth, yield, seed quality, and nutrient content. Organic fertilization showed comparable results to mineral fertilization and had positive effects on soil properties.
Article
Agronomy
Raul Allende-Montalban, Diana Martin-Lammerding, Maria del Mar Delgado, Miguel A. Porcel, Jose L. Gabriel
Summary: The use of nitrification inhibitors and intercrops is an effective method to reduce the environmental impact of nitrogen fertilizers in agriculture. This study investigates their effects on a maize-wheat rotation and finds that the combination of a nitrification inhibitor (DMPSA) and vetch intercrop greatly improves the environmental impact of the system.
Article
Environmental Sciences
Zonirina Ramahaimandimby, Alain Randriamaherisoa, Francois Jonard, Marnik Vanclooster, Charles L. Bielders
Summary: Hydrological modeling for water management in large watersheds requires accurate spatially-distributed rainfall time series. Gridded precipitation products (GPPs) from merged satellite-/gauge-/model-based rainfall products can serve as an attractive alternative in case of low coverage density of ground-based measurements. This study evaluated the reliability of 6 GPPs at different time scales and found that IMERG performs best at the daily scale, followed by RFEv2 and ARC2. CHIRPS and PERSIANN were able to estimate extreme rainfall satisfactorily. Overall, IMERG was considered the most reliable gridded precipitation source at monthly, daily, and event time scales for hydrological applications in the study area.
Article
Agriculture, Multidisciplinary
Andres F. Almeida-Naunay, Ana M. Tarquis, Juan Lopez-Herrera, Enrique Perez-Martin, Jose L. Pancorbo, Maria D. Raya-Sereno, Miguel Quemada
Summary: Research on assessing grain yield and quality throughout the growth cycle using remote sensing, focusing on the suitability of a multispectral sensor onboard an UAV to estimate wheat traits, and proposing a method to improve predictions of wheat traits by sequentially removing soil pixels. The study found that certain vegetation indices were capable of predicting wheat traits using UAV sensors, and the sequential cutting method showed improvement in some trait estimations, but limited improvement in protein content estimation.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Agronomy
M. D. Raya-Sereno, J. L. Pancorbo, M. Alonso-Ayuso, J. L. Gabriel, M. Quemada
Summary: The objective of this study was to test the ability of different wheat genotypes to take up nitrogen from preceding legume crops under different water scenarios. The results showed that drought-tolerant genotypes had higher nitrogen nutrition index, biomass, yield, and nitrogen output under low water and nitrogen inputs, while other genotypes performed better under non-limiting conditions. Therefore, this study confirms differences between wheat genotypes in nitrogen uptake from preceding legumes in crop rotations under different water levels and highlights the potential of nitrogen nutrition index to assess wheat nitrogen status.
FIELD CROPS RESEARCH
(2023)
Article
Agriculture, Multidisciplinary
J. L. Pancorbo, M. Alonso-Ayuso, C. Camino, M. D. Raya-Sereno, P. J. Zarco-Tejada, I. Molina, J. L. Gabriel, M. Quemada
Summary: Early prediction of crop production by remote sensing can assist in planning the harvest and ensuring food security. This study aims to improve the quantification of yield, grain protein concentration, and nitrogen output in winter wheat using RS imagery. The results showed that the visible and short-wave infrared region had similar accuracy to hyperspectral and Sentinel-2 imagery in yield estimation. The SWIR bands were important for estimating grain protein concentration, and red-edge-based NDSIs improved the estimation of nitrogen output.
PRECISION AGRICULTURE
(2023)
Article
Environmental Sciences
Rui Zhao, Xiaodan Zhang, Jose Luis Gabriel, Jose Antonio Rodriguez Martin, Kening Wu
Summary: Agricultural land consolidation is an effective tool for ensuring national food security. However, the current classification of agricultural land consolidation types does not consider soil safety, resulting in randomness in project site selection. Ensuring soil security is a prerequisite for efficient agricultural land consolidation, and incorporating soil's functional advantages is an effective means of securing soil safety.
LAND DEGRADATION & DEVELOPMENT
(2023)
Article
Agronomy
Nelly Centurion, Ignacio Mariscal-Sancho, Mariela Navas, Jose Luis Gabriel, Kelly Ulcuango, Miguel Angel Ibanez, Ana Moliner, Chiquinquira Hontoria
Summary: Legumes provide important benefits in crop rotations. Interseeding cover crops (CCs) allows for additional legume CCs in case of a short window after the main crop. However, the level and management of legume input can modify the expected benefits.
Editorial Material
Food Science & Technology
Luis Lassaletta, Rasmus Einarsson, Miguel Quemada
Summary: Climate change has affected nitrogen use and crop production. Collaboration between nitrogen and climate scientists is essential to comprehend future agricultural nitrogen use and adjust nitrogen management in a changing climate.
Correction
Food Science & Technology
Hans J. M. van Grinsven, Peter Ebanyat, Margaret Glendining, Baojing Gu, Renske Hijbeek, Shu Kee Lam, Luis Lassaletta, Nathaniel D. Mueller, Felipe S. Pacheco, Miguel Quemada, Tom W. Bruulsema, Brian H. Jacobsen, Hein F. M. ten Berge
Article
Geosciences, Multidisciplinary
Damien Delforge, Olivier de Viron, Marnik Vanclooster, Michel Van Camp, Arnaud Watlet
Summary: The potential of causal inference methods (CIMs) in revealing hydrological connections is investigated. The multivariate nonlinear framework is found to be the most suitable for this purpose. However, for real case studies, the method's stability may be affected by missing data distribution, requiring caution in interpreting the results. Nevertheless, all CIMs provide valuable insights into the system's dynamics and are cost-effective comparative tools for exploring data.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
