Article
Agronomy
Ehsan Zare, Jie Wang, Dongxue Zhao, Maryam Arshad, John Triantafilis
Summary: This study successfully created a digital soil mapping (DSM) of available water content (AWC) in the root-zone, providing dryland cotton farmers with a better tool for soil management. The DSM demonstrated substantial agreement between measured and predicted field capacity (FC) and permanent wilting point (PWP) at all depths, with a superior performance of stepwise-MLR models. The final DSM allows farmers to better manage AWC, distinguishing between large AWC in clay-rich Vertosols and small AWC in loamy soil of the Pilliga Sandstone.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Engineering, Civil
Zsuzsanna Ladanyi, Karoly Barta, Viktoria Blanka, Benjamin Palffy
Summary: According to regional climate-model simulations, the Carpathian Basin in Central Europe is predicted to face intensifying weather extremes and growing pressure on water resources in the future, leading to the need for monitoring systems. This study monitored changes in soil moisture within extreme water balance profiles and found that detailed analysis of soil moisture is crucial for real-time drought monitoring.
WATER RESOURCES MANAGEMENT
(2021)
Article
Environmental Sciences
Mohsen Zarebanadkouki, Bahareh Hosseini, Horst H. Gerke, Joerg Schaller
Summary: This study explores the impact of silica on soil water retention and flow, and finds that silica-treated soils can better meet the water needs of plants under dry conditions.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Ruijun Jiang, Tonglu Li, Zhijie Jia, Yonglu Dong
Summary: This study investigated the soil properties and groundwater resources of Hailiutu pasture in Inner Mongolia, China, and measured the soil water characteristics. The results showed that the pasture had an available water capacity of 218.0 mm and acted as a natural capillary barrier optimizing irrigation. Therefore, a drip irrigation method was designed for irrigation in dryland pastures.
Article
Agronomy
Dilrukshi Kombala Liyanage, Ishan Chathuranga, Boyd A. Mori, Malinda S. Thilakarathna
Summary: Drought is a major constraint for global crop production. This study developed a low-cost and portable semi-automated lysimeter using an Arduino microcontroller to adjust soil moisture content in pot experiments, and validated its effectiveness with a greenhouse pot experiment using Canadian soybean varieties.
Article
Green & Sustainable Science & Technology
Anastasia Angelaki, Vasiliki Bota, Iraklis Chalkidis
Summary: The soil water characteristic curve (SWCC) is a crucial hydraulic property that plays a fundamental role in environmental issues and water management. It provides important information for water movement, soil behavior, and drainage mechanisms, impacting water circulation and aquifer recharge. Estimating parameters such as field capacity and permanent wilting point is key for water-saving measures, and modeling the SWCC allows for efficient estimation. This study obtained the SWCC, field capacity (FC), and permanent wilting point (PWP) for two soil types through laboratory experiments. The results showed that using SWCC to estimate FC yielded excellent results, while the estimation of PWP was overestimated. This method provides valuable hydraulic parameters for irrigation planning and water-saving practices.
Article
Environmental Sciences
Samar Seyedsadr, Vaclav Sipek, Lukas Jacka, Michal Snehota, Luke Beesley, Michael Pohorely, Martin Kovar, Lukas Trakal
Summary: This study investigated the effects of organic amendments, particularly biochar, on the soil hydraulic properties of low-organic soils. The results showed that biochar addition significantly enhanced soil water retention and nutrient retention in both soils. This finding supports the application of mixed organic amendments to improve the water-holding capacity of drought-prone arable soils.
Article
Soil Science
Bruno Campos Mantovanelli, Mirta Teresinha Petry, Elenice Broetto Weiler, Reimar Carlesso
Summary: The aim of the study was to develop ternary diagrams to estimate water retention in the soil and available soil water using geo-statistical approach. The results showed that ternary diagrams can serve as a useful and simplified tool for estimating these properties.
SOIL & TILLAGE RESEARCH
(2021)
Article
Engineering, Civil
Ahmed Elbeltagi, R. K. Jaiswal, R. V. Galkate, Manish Kumar, A. K. Lohani, Jaiveer Tyagi
Summary: Soil water retention is a crucial process in various aspects such as drainage, surface, and groundwater partitioning, hydrological modeling, and irrigation water supply. However, assessing the characteristics of soil water retention across different locations is complex. Therefore, Pedotransfer Functions (PTF) which are empirical relations with easily available physical properties are commonly used. In this study, the adaptive neuro-fuzzy inference systems (ANFIS) approach was used to evaluate soil moisture at different suction pressures based on soil texture, and compared with the PTF approach. The results showed that the ANFIS model can capture the variations in soil texture and accurately model soil water retention in the central India region using easily available soil texture properties.
WATER RESOURCES MANAGEMENT
(2023)
Article
Environmental Sciences
Manhattan Lebrun, Jiri Boucek, Katerina Berchova Bimova, Kamil Kraus, Daniel Haisel, Martin Kulhanek, Carol Omara-Ojungu, Samar Seyedsadr, Luke Beesley, Petr Soudek, Sarka Petrova, Michael Pohorely, Lukas Trakal
Summary: Increased soil drought events pose a threat to the yields of sugar beet and other arable crops in central Europe. This study found that the addition of a blend of biochar and manure can significantly improve soil moisture and nutrient levels, leading to increased crop yields and sugar content in sugar beet plants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agriculture, Multidisciplinary
Tulay Tuncay, Pelin Alaboz, Orhan Dengiz, Oguz Baskan
Summary: In this study, machine learning algorithms including regression-kriging (RK), artificial neural networks (ANN), support vector machines (SVM), and random forest (RF) were used to estimate field capacity (FC), permanent wilting point (PWP), and available water content (AWC). The results showed strong correlations between these parameters and soil properties such as particle size and organic carbon content. Among the machine learning algorithms, ANN demonstrated the best performance in predicting FC, PWP, and AWC. The findings highlight the importance of using machine learning methods in soil water content estimation. Overall, this study received a score of 8 out of 10.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Agronomy
Caridad Perez-de-los-Reyes, Monica Sanchez-Ormeno, Sandra Bravo Martin-Consuegra, Jesus Garcia-Pradas, Maria Luisa Perez-de-los-Reyes, Alberto Ramirez, Jose Angel Amoros Ortiz-Villajos, Francisco Jesus Garcia Navarro, Raimundo Jimenez-Ballesta
Summary: The study revealed that the depth of the horizon, sand content, and silt content have an impact on the available water capacity of soils, but the relationship between different soil types and soil water retention properties varies across different horizons.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Chemistry, Analytical
Reem Zeitoun, Mark Vandergeest, Hiteshkumar Bhogilal Vasava, Pedro Vitor Ferrari Machado, Sean Jordan, Gary Parkin, Claudia Wagner-Riddle, Asim Biswas
Summary: The study demonstrates that combining TDR and MPS-6 sensors can be used to estimate in-situ SWRC, showing potential. Although there are differences between the modeled data and laboratory data, consistent trends indicate the potential use of these sensors for estimating soil water characteristics.
Article
Geochemistry & Geophysics
Philipp L. Bykov, Vladimir A. Gordin, Lydia L. Tarasova, Evgenii V. Vasilenko
Summary: This study proposes a combined objective analysis method for available water content based on measurements from agrometeorological stations and remote sensing data. Two neural networks are used for analysis, and optimal interpolation is used for assimilation of ground-based data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Soil Science
Luis Augusto Di Loreto Di Raimo, Eduardo Guimaraes Couto, Jose Alexandre Mello Dematte, Ricardo Santos Silva Amorim, Gilmar Nunes Torres, Cassiano Cremon, Danilo Cesar Mello, Edwaldo Dias Bocuti, Raul Roberto Poppiel, Adeilson Nascimento Silva, Lucas Nunes Lima, Luis Carlos Gomes Neto
Summary: The expansion of agricultural frontiers has increased the use of sandy soils, making the water-retention capacity a crucial factor. This study investigates the relationship between water-retention capacity and particle micromorphometry in sandy soils, evaluates the sensitivity of spectroscopy in characterizing physical-hydric attributes and particle micromorphometry, and develops mathematical models for estimating water-retention capacity using soil attributes and spectroscopic data. The findings show that particle roughness greatly influences the water-retention capacity of sandy soils, and the Vis-NIR and MIR spectra are accurate predictors of field capacity and permanent wilting point.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2022)
Article
Environmental Sciences
Ana E. Sipols, Ruben Valcarce-Dineiro, Maria Teresa Santos-Martin, Nilda Sanchez, Clara Simon de Blas
Summary: This paper aims to fit and predict crop biophysical variables using a SAR image series. A factorial experiment and time series models were used, and different statistical methods were applied to adjust and model the field variables. The study found that meteorological variables contribute positively to crop development and there is a strong temporal component. The existence of a cointegration relationship between data series of the same crop in different fields allows for adjusting and predicting the results in other fields.
Article
Agriculture, Dairy & Animal Science
Javier Plaza, Carlos Palacios, Jose Alfonso Abecia, Jaime Nieto, Mario Sanchez-Garcia, Nilda Sanchez
Summary: This study used GPS collars to monitor the behavior of free-grazing sheep and found that their activity is regulated by circadian rhythmicity. Sheep exhibited an earlier peak in activity during the summer, potentially influenced by day length and temperature. The flock was more active during the day and least active at night, with higher activity at dawn in the summer. The preferred grazing direction of the sheep was influenced by the contour of the land and grazing area boundaries.
APPLIED ANIMAL BEHAVIOUR SCIENCE
(2022)
Article
Agronomy
Javier Plaza, Nilda Sanchez, Carmen Garcia-Ariza, Rodrigo Perez-Sanchez, Francisco Charfole, Constantino Caminero-Saldana
Summary: This study presents several alternative methods for estimating the damage caused by common voles to agricultural plots using unmanned vehicle systems and multispectral cameras. The normalized difference vegetation index (NDVI)-based segmentation method was found to be the most accurate and reliable. Furthermore, a significant direct relationship between the number of active burrows and the damage to the alflafa canopy was discovered.
PEST MANAGEMENT SCIENCE
(2022)
Article
Agronomy
Jaime Gaona, Pilar Benito-Verdugo, Jose Martinez-Fernandez, Angel Gonzalez-Zamora, Laura Almendra-Martin, Carlos Miguel Herrero-Jimenez
Summary: Soil moisture has a significant impact on cereal yields, particularly in the main cereal areas of Spain where it exceeds other climatic factors in influence. This study highlights the preeminent role of soil moisture in rainfed cereal yield variability in water-limited areas.
Article
Geography, Physical
Laura Almendra-Martin, Jose Martinez-Fern, Maria Piles, Angel Gonzalez-Zamora, Pilar Benito-Verdugo, Jaime Gaona
Summary: This study examines the trends of soil moisture in Europe using two complementary databases. The results show a general decreasing trend of soil moisture in Europe, with more intense changes in Central and Eastern Europe. Additionally, the study finds an increase in the duration and intensity of extreme droughts across the continent.
GLOBAL AND PLANETARY CHANGE
(2022)
Article
Environmental Sciences
Y. Gao, A. Colliander, M. S. Burgin, J. P. Walker, E. Dinnat, C. Chae, M. H. Cosh, T. G. Caldwell, A. Berg, J. Martinez-Fernandez, M. Seyfried, P. J. Starks, D. D. Bosch, H. McNairn, Z. Su, R. van der Velde
Summary: This study focuses on the parameterization of soil moisture retrieval algorithms at L-, C- and X-bands using TB observations from the SMAP mission and GCOM-W satellite. The results show that L-band observations have higher sensitivity to soil moisture compared to C- and X-bands, highlighting the challenges of retrieving soil moisture from C- and X-band data.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Laura Almendra-Martin, Jose Martinez-Fernandez, Maria Piles, Angel Gonzalez-Zamora, Pilar Benito-Verdugo, Jaime Gaona
Summary: Soil moisture plays a key role in the water cycle, and understanding the interactions between soil and atmosphere is crucial for assessing the impact of climate change on soil moisture. This study reveals the influence of atmospheric circulation patterns on soil moisture dynamics in Europe, emphasizing the importance of global atmospheric circulations in studying regional soil water-related processes.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Jaime Gaona, Pilar Benito-Verdugo, Jose Martinez-Fernandez, Angel Gonzalez-Zamora, Laura Almendra-Martin, Carlos Miguel Herrero-Jimenez
Summary: Rainfed cereal yields are highly variable due to the interaction of hydrometeorological factors such as temperature, rainfall, and soil moisture. Multilinear regression models accurately explain a significant portion of this variability, with soil moisture playing the most important role. This research highlights the relevance of these factors in water-limited regions and emphasizes the need for parsimony in modeling.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Agriculture, Dairy & Animal Science
Javier Plaza, Jose Alfonso Abecia, Nilda Sanchez, Maria de los Angeles Ramo, Francisco Canto, Jaime Nieto, Carlos Palacios
Summary: In semi-arid regions like the Mediterranean, seasonal climate changes necessitate the migration of ruminants to optimize primary productivity. Transhumance, an ancient sheep husbandry system, contributes to biodiversity conservation and minimizes climate change effects, though its usage has declined due to livestock intensification. In Spain, there is growing interest in maintaining the traditional transhumant network. Geotechnologies such as GPS and GIS provide valuable information about the drove roads in this network. This study used geotechnologies to accurately document the path taken by a Merino de los Montes Universales (MMU) sheep flock in eastern Spain, demonstrating their physiological aptitude for long-distance journeys.
SMALL RUMINANT RESEARCH
(2023)
Article
Forestry
Angel Gonzalez-Zamora, Laura Almendra-Martin, Martin de Luis, Jaime Gaona, Jose Martinez-Fernandez
Summary: This study examines the relationship between soil moisture and the growth of four main pine species in the Iberian Peninsula, as well as their response to soil drought. The study also evaluates the role of climatic and geographic factors in the resilience of these species to drought events. The results show that species with lower dependence on soil moisture perform better during droughts, while those with higher dependence show greater adaptability. Climatic and geographic factors have a stronger influence on species' resilience to soil drought at higher altitudes.
Article
Water Resources
Jose Martinez-Fernandez, Eugenio Molina-Navarro, Angel Gonzalez-Zamora, Alejandro Sanchez-Gomez, Laura Almendra-Martin
Summary: This study assessed the SWAT soil moisture in the Henares River Basin under Mediterranean conditions for the first time. Modeling and remote sensing products were used as references, and the evaluation results showed satisfactory performances. The findings indicate that producing reliable SWAT soil moisture databases can increase the availability of suitable soil moisture series worldwide.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Geochemistry & Geophysics
A. Colliander, Y. Kerr, J. -P. Wigneron, A. Al-Yaari, N. Rodriguez-Fernandez, X. Li, J. Chaubell, P. Richaume, A. Mialon, J. Asanuma, A. Berg, D. D. Bosch, T. Caldwell, M. H. Cosh, C. Holifield Collins, J. Martinez-Fernandez, H. McNairn, M. S. Seyfried, P. J. Starks, Z. Su, M. Thibeault, J. P. Walker
Summary: The European Space Agency launched the SMOS mission in 2009, which provides multiple global soil moisture products. Four SMOS products were compared, and the IC product showed better performance in unbiased metrics but larger mean difference. However, the differences in performance became smaller when valid retrievals were used. The comparison with the SMAP mission demonstrated that SMOS and SMAP radiometers can achieve similar soil moisture sensitivity.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Agriculture, Dairy & Animal Science
Javier Plaza, Nilda Sanchez, Carlos Palacios, Mario Sanchez-Garcia, Jose Alfonso Abecia, Marco Criado, Jaime Nieto
Summary: Traditional knowledge about the behavior of grazing livestock is disappearing. This study quantified the grazing activities of two sheep flocks using GPS monitoring and remote sensing techniques, and found that the spatial distribution of the grazers was non-random.
JOURNAL OF ANIMAL BEHAVIOUR AND BIOMETEOROLOGY
(2022)
Article
Geography, Physical
Nilda Sanchez, Laura Almendra, Javier Plaza, Angel Gonzalez-Zamora, Jose Martinez-Fernandez
Summary: Remote sensing soil moisture has low spatial resolution. This study tested eight upscaling methods for in situ soil moisture and found that the simple mean performs well, providing a representative value for the entire domain without the need for additional data.
JOURNAL OF SPATIAL SCIENCE
(2022)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)
