Article
Geosciences, Multidisciplinary
Anatoly Tsyplenkov, Matthias Vanmaercke, Adrian L. Collins, Sergey Kharchenko, Valentin Golosov
Summary: Suspended sediment yields from glacierized catchments can be highly variable, with extreme events contributing significantly to the overall sediment flux. Different sediment sources can dominate during specific weather conditions and locations within the catchment, highlighting the complex sediment dynamics in glacierized mountain rivers.
Article
Engineering, Civil
Gebre Gelete
Summary: In this study, four individual models were used for modeling soil erosion in Katar catchment, and two strategies were applied to improve the predictive accuracy. The results showed that the HW model performed the best among the individual models, while the NFE ensemble technique provided the best performance. The hybrid HW-XGB model achieved the best predictive performance.
WATER RESOURCES MANAGEMENT
(2023)
Article
Environmental Sciences
Niels F. Lake, Nuria Martinez-Carreras, Jean Francois Iffly, Peter J. Shaw, Adrian L. Collins
Summary: Sediment fingerprinting is a method used to identify the sources of sediment in a catchment. Traditional approaches require extensive resources for sampling and laboratory analysis. This study proposes the use of UV-VIS absorbance spectra, measured by submersible spectrophotometers, as a rapid and non-destructive method for sediment fingerprinting. Results showed a relatively low deviation between the spatial source contributions using absorbance and sediment budgeting, indicating the potential of this method for sediment tracing in natural environments.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Water Resources
Cedric Legout, Guilhem Freche, Romain Biron, Michel Esteves, Oldrich Navratil, Guillaume Nord, Magdalena Uber, Thomas Grangeon, Nico Hachgenei, Brice Boudevillain, Celine Voiron, Lorenzo Spadini
Summary: The Galabre catchment, part of the French network of critical zone observatories, was instrumented in 2007 to study suspended sediments dynamics in areas with highly erodible badlands on different lithologies. The site includes meteorological stations, gauging stations, and automatic water sampling systems to quantify sediment fluxes and analyze the links between meteorological forcing and watershed hydrosedimentary response. The measurements were extended to the dissolved phase in 2017 to understand water origin during events and the partitioning between particulate and dissolved fluxes of solutes in the critical zone.
HYDROLOGICAL PROCESSES
(2021)
Article
Environmental Sciences
Marzieh Fadaee, Amin Mahdavi-Meymand, Mohammad Zounemat-Kermani
Summary: This study investigates the application of two metaheuristic algorithms (BOA and GA) in the prediction of Suspended Sediment Load (SSL). The results show that the performances of all models are similar, and the metaheuristic algorithms can improve the accuracy of some models, with BOA outperforming GA.
GEOCARTO INTERNATIONAL
(2022)
Article
Water Resources
Laura J. Bannatyne, Ian D. L. Foster, Kate M. Rowntree, Bennie W. van Der Waal
Summary: Soil erosion rates are high in many parts of Southern Africa, but there is a lack of observed data. In this study, a sampling program was implemented in the Tsitsa River catchment in South Africa to measure suspended sediment and calculate loads and yields. The results were compared with modelled estimates, providing a locally appropriate method for Southern Africa.
HYDROLOGICAL PROCESSES
(2022)
Article
Geosciences, Multidisciplinary
C. Misset, A. Recking, C. Legout, M. Bakker, F. Gimbert, T. Geay, S. Zanker
Summary: The transportation of fine sediment is influenced by various factors such as different modes of transport and sediment sources. A study in an Alpine catchment over two years revealed a seasonal control exerted by river bed mobility and snow cover on suspended sediment dynamics. The potential shift of sediment dynamics from river bed to hillslope dominated in the context of global warming was also questioned.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Fatemeh Panahi, Mohammad Ehteram, Mohammad Emami
Summary: This study focused on predicting the suspended sediment load (SSL) for the Telar River's main tributaries in Iran using ANFIS-BWOA and SVM-BWOA models. The research found that ANFIS-BWOA performed the best in terms of MAE and R-2 values in the training level for the Telar River, and also showed advantages in predicting the SSL for the Kasilian River in the testing level. The study also highlighted the importance of input uncertainty compared to parameter uncertainty in the accuracy of the models.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Civil
Elham Ghanbari-Adivi, Mohammad Ehteram, Alireza Farrokhi, Zohreh Sheikh Khozani
Summary: This study employs an inclusive multiple model (IMM) to predict suspended sediment load (SSL) in the Telar River and its tributaries. The modeling process includes creating hybrid models and ensemble models, and introduces new ideas and methods to improve the accuracy of the models. Comparative results show that the IMM model has high accuracy and lower uncertainty compared to other models for SSL prediction.
WATER RESOURCES MANAGEMENT
(2022)
Article
Geography, Physical
Amande Roque-Bernard, Antoine Lucas, Eric Gayer, Pascal Allemand, Celine Dessert, Eric Lajeunesse
Summary: We developed a phenomenological model to represent suspended sediment transport in the Capesterre river based on data from a small tropical catchment in Guadeloupe. The model accurately predicts the concentration of suspended sediment during floods, as long as the relationship between concentration and water level forms a counterclockwise loop. The model uses four parameters to lump together the properties of the sediment and the river, and these parameters vary from flood to flood, reflecting changes in the river and the fine sediment.
EARTH SURFACE DYNAMICS
(2023)
Article
Environmental Sciences
Sarita Gajbhiye Meshram, Mir Jafar Sadegh Safari, Khabat Khosravi, Chandrashekhar Meshram
Summary: Novel hybrid intelligence models were proposed in this study to compute suspended sediment load in rivers, combining iterative classifier optimizer (ICO) with random forest (RF) and pace regression (PR) models. The accuracy of the hybrid models was found to be higher than that of the stand-alone models, with ICO-RF models delivering the best accuracy overall. Hence, the implemented methodology appears suitable for precise modeling of suspended sediment load in rivers.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Environmental
Muhammad Bilal Idrees, Muhammad Jehanzaib, Dongkyun Kim, Tae-Woong Kim
Summary: This study evaluated six machine learning models for predicting suspended sediment load inflow into a reservoir, finding that all models performed reasonably well with the artificial neural network model being the most effective. The findings are expected to be useful for future dam safety and risk assessment, as well as achieving sustainability in reservoir operation through comprehensive sediment management.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Environmental Sciences
Ashish Kumar, Vinod Kumar Tripathi
Summary: The study compared the performance of ANN, SVR, and MLR models in predicting suspended sediment concentration in a stream, and found that the ANN model with a single hidden layer was the most suitable. This research provides a simple and efficient model for estimating SSC with minimal error using limited data.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Water Resources
Siyamak Doroudi, Ahmad Sharafati, Seyed Hossein Mohajeri
Summary: This study proposes a prediction model for suspended sediment load using support vector regression models, particle swarm optimization, and grey wolf optimization algorithms. The predictors used in the model are the Satellite Precipitation of Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) and Global Land Data Assimilation System (GLDAS) soil moisture products. The model is evaluated based on visual and quantitative indicators, with results showing that the support vector regression-particle swarm optimization model performs the best among the models tested in this study. The best indices obtained are: Pearson correlation coefficient of 0.997, relative root mean square error of 13.17, percentage bias of 4.05, and Nash-Sutcliffe efficiency of 0.995.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
W. D. Dimuth P. Welivitiya, Greg R. Hancock
Summary: Computer-based coupled soilscape-landform evolution models can estimate the erosion potential of a landform over geological timescales and help understand soil-landform relationships. This study used the SSSPAM and CAESAR-Lisflood models to simulate the evolution of a natural catchment and compared the results with field measurements. Both models accurately predicted erosion rates and produced similar geomorphological patterns. The findings demonstrate the ability of SSSPAM to predict erosion and soil distribution at the catchment scale, providing confidence for Soilscape predictions in various landscapes.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Computer Science, Artificial Intelligence
Leonardo Goliatt, Zaher Mundher Yaseen
Summary: In this research, a hybrid model combining Covariance Matrix Adaptive Evolution Strategies (CMAES) with Extreme Gradient Boosting (XGB) and Multi-Adaptive Regression Splines (MARS) was developed to predict daily solar radiation. The model was tested at four meteorological stations in Burkina Faso and showed outstanding predictability performance, achieving significantly higher accuracy compared to existing methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Environmental
Zahirah Mohd Zain, Ahmed Saud Abdulhameed, Ali H. Jawad, Zeid A. ALOthman, Zaher Mundher Yaseen
Summary: This study developed a pH-sensitive chitosan/sepiolite clay/algae biocomposite for efficient removal of cationic and anionic dyes by adjusting the solution pH. The optimal conditions for dye removal were determined using a Box-Behnken design and the adsorption mechanism was investigated. The biocomposite exhibited high adsorption capacity and the adsorption process was confirmed to be endothermic and spontaneous. Various interactions, such as electrostatic, H-bonding, and n-pi interactions, contributed to the adsorption mechanism.
JOURNAL OF POLYMERS AND THE ENVIRONMENT
(2023)
Article
Environmental Sciences
Pennan Chinnasamy, Zeel Shah, Shamsuddin Shahid
Summary: This study quantifies the impact of the COVID-19 lockdown in India on air quality by analyzing the change in major air pollutants. The results show a significant decline in concentrations of SO2 and NO2, a slight decrease in O-3 and CO concentration, and varying reductions in PM2.5 and PM10 levels across different regions.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2023)
Article
Green & Sustainable Science & Technology
Meysam Nouri, Parveen Sihag, Ozgur Kisi, Mohammad Hemmati, Shamsuddin Shahid, Rana Muhammad Adnan
Summary: This study evaluated the discharge coefficient of a combined compound rectangular broad-crested-weir (BCW) gate using the computational fluid dynamics (CFD) modeling approach and soft computing models. Six data-driven procedures were used to estimate the coefficient of discharge (C-dt) of the weir gates, and the SVM model showed the highest accuracy in prediction. The multimode ANN model was found to be the most suitable for predicting the C-dt of a BCW gate, with minimum root mean square error (RMSE) and maximum correlation.
Article
Environmental Sciences
H. M. Touhidul Islam, Mohammad Kamruzzaman, Shamsuddin Shahid, Mohammed Mainuddin, Edris Alam, Abu Reza Md. Towfiqul Islam, Jatish Chnadra Biswas, Md. Azharul Islam
Summary: This study used 40 General Circulation Models (GCMs) of Coupled Model Intercomparison Project Phase 5 (CMIP5) to investigate the future changes and variabilities in minimum temperature (Tmin) and maximum temperature (Tmax) in Bangladesh at different time scales. The results showed a consistent increase in both Tmax and Tmin for all future periods and radiative concentration pathways (RCPs), with Tmin increasing at a higher rate than Tmax. This has implications for long-term planning, as the spatial variability of these temperature changes can provide valuable information for decision-making.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Sciences
Karam Alsafadi, Shuoben Bi, Bashar Bashir, Ehsan Sharifi, Abdullah Alsalman, Amit Kumar, Shamsuddin Shahid
Summary: This study proposed a new spatial mapping approach for precipitation that combines regression-kriging with cloud cover frequency data, improving the accuracy of precipitation interpolation. The findings showed that this hybrid model outperformed conventional multivariate regression models in modeling precipitation.
Article
Environmental Sciences
Ozgur Kisi, Kulwinder Singh Parmar, Amin Mahdavi-Meymand, Rana Muhammad Adnan, Shamsuddin Shahid, Mohammad Zounemat-Kermani
Summary: This study investigated the potential of four different neuro-fuzzy embedded meta-heuristic algorithms (particle swarm optimization, genetic algorithm, harmony search, and teaching-learning-based optimization algorithm) in estimating the water quality of the Yamuna River in Delhi, India. The performance of hybrid neuro-fuzzy models in predicting COD was compared with classical neuro-fuzzy and LSSVM methods, with higher accuracy achieved when certain water quality parameters were used as inputs. The results demonstrated that the neuro-fuzzy models optimized with harmony search provided the best accuracy, while the particle swarm optimization and teaching-learning-based optimization showed the highest computational speed.
Article
Environmental Sciences
Sarah Jabbar Zeri, Mohammed Magdy Hamed, Xiaojun Wang, Shamsuddin Shahid
Summary: This study utilizes satellite precipitation datasets to generate intensity-duration-frequency (IDF) curves for three cities in Iraq. The GSMaP GC dataset shows the highest correlation with observed data at Baghdad, Basra, and Mosul. The study highlights the importance of gauge correction for satellite rainfall data and suggests that the generated IDF curves can contribute to sustainable urban stormwater management in the country.
Article
Environmental Studies
Tze Huey Tam, Muhammad Zulkarnain Abdul Rahman, Sobri Harun, Shamsuddin Shahid, Sophal Try, Mohamad Hidayat Jamal, Zamri Ismail, Khamarrul Azahari Razak, Mohd Khairolden Ghani, Yusrin Faiz Abdul Wahab
Summary: The present study evaluates the impact of climate change on flood hazard potential in the Kelantan River Basin. The intensity-duration-frequency method is used to estimate current and future design rainfall, and the results show contrasting projections of flood hazard aggravation and reduction by different climate models. It is the first study of flood projections in the Kelantan River Basin and provides valuable information for local managers and authorities in flood risk mitigation decision-making.
INTERNATIONAL JOURNAL OF DISASTER RESILIENCE IN THE BUILT ENVIRONMENT
(2023)
Article
Environmental Sciences
Saad Sh. Sammen, Ozgur Kisi, Ahmed Mohammed Sami Al-Janabi, Ahmed Elbeltagi, Mohammad Zounemat-Kermani
Summary: In this study, various regression-based machine learning techniques were used to model daily reference evapotranspiration in a semi-arid region of Iraq. The evaluation of different input combinations of climatic parameters showed that the random forest method, particularly with Tmax, Tmin, Tmean, and SR inputs, yielded the most accurate estimation of daily ET0. On the other hand, the support vector machine method had the lowest accuracy. This research is significant for water users, developers, and decision makers in water resource planning and management.
Article
Environmental Sciences
Meysam Alizamir, Zahra Kazemi, Zohre Kazemi, Majid Kermani, Sungwon Kim, Salim Heddam, Ozgur Kisi, Il-Moon Chung
Summary: The likelihood of water contamination near landfills is high due to leachate percolation. Therefore, it is crucial to create a reliable framework for monitoring leachate and groundwater parameters to control water quality. An efficient hybrid artificial intelligence model, ELM-GWO, has been used to predict landfill leachate and groundwater quality at Saravan landfill in Iran.
Article
Green & Sustainable Science & Technology
Meysam Alizamir, Kaywan Othman Ahmed, Jalal Shiri, Ahmad Fakheri Fard, Sungwon Kim, Salim Heddam, Ozgur Kisi
Summary: Reliable and precise estimation of solar energy is crucial in energy management, especially in developing countries. This study developed different artificial intelligence models for solar radiation estimation in Kurdistan region, Iraq, and found that the proposed VMD-DELM algorithm significantly improved the accuracy of daily solar radiation prediction.
Article
Energy & Fuels
Raad Z. Homod, Hayder Ibrahim Mohammed, Aissa Abderrahmane, Omer A. Alawi, Osamah Ibrahim Khalaf, Jasim M. Mahdi, Kamel Guedri, Nabeel S. Dhaidan, A. S. Albahri, Abdellatif M. Sadeq, Zaher Mundher Yaseen
Summary: This study proposes a novel framework based on deep clustering of lagrangian trajectories for multi-task learning (DCLTML) and adds a pre-cooling coil in the air handling unit (AHU) to alleviate the coupling issue in HVAC systems. The DCLTML algorithm shows promising results in controlling HVAC systems, with significant energy savings and improved environmental comfort.
Article
Environmental Sciences
Syed Shabi Ul Hassan Kazmi, Hafiz Sohaib Ahmed Saqib, Paolo Pastorino, Hans-Peter Grossart, Zaher Mundher, Muyassar H. Abualreesh, Wenhua Liu, Zhen Wang
Summary: This research investigates the influence of the veterinary antibiotic nitrofurazone on the community dynamics of marine periphytic ciliates. The results show significant alterations in ciliate communities following exposure to nitrofurazone, including changes in abundance, composition, and structure. These findings enhance the understanding of the ecological impacts of nitrofurazone on marine periphytic ciliate communities and highlight the need for vigilant monitoring of veterinary antibiotics to protect marine ecosystem health and biodiversity.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Review
Management
Mohammed Hamza Momade, Shamsuddin Shahid, Ghaith Falah, Deprizon Syamsunur, Dave Estrella
Summary: This study reviews previous research on construction labor productivity (CLP), focusing on the variations in findings from different geographical perspectives and identifying factors influencing CLP. It raises awareness and facilitates the accumulation of knowledge on CLP factors in different regions of the world.
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT
(2023)
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)