Article
Water Resources
Chen Wang, Martin A. Briggs, Frederick D. Day-Lewis, Lee D. Slater
Summary: This study explores the use of magnetic susceptibility technology to efficiently map the spatial variations of iron oxide precipitates in rivers impacted by anoxic groundwater discharge. Laboratory and field surveys demonstrate the sensitivity of magnetic susceptibility to sediment iron concentrations and its potential as a complementary tool for mapping Fe oxide accumulation zones. The research highlights the significance of high magnetic susceptibility zones associated with anoxic groundwater discharge in biogeochemical studies and water quality monitoring.
HYDROLOGICAL PROCESSES
(2021)
Article
Multidisciplinary Sciences
Meredith B. Brooks, Ana Karina Millones, Daniela Puma, Carmen Contreras, Judith Jimenez, Christine Tzelios, Helen E. Jenkins, Courtney M. Yuen, Salmaan Keshavjee, Leonid Lecca, Mercedes C. Becerra
Summary: By analyzing the residential locations of tuberculosis cases in Lima, Peru from 2013 to 2018, and linking them to census data, heat maps of tuberculosis case rates were created. The study found significant geographic heterogeneity in rates of reported TB cases, with hot and cold spots within the study area.
Article
Biodiversity Conservation
Briana Holgate, Ramona Maggini, Susan Fuller
Summary: As urbanisation rates continue to rise, habitat destruction in peri-urban areas has led to significant environmental impacts, emphasizing the need for effective monitoring of biodiversity and ecosystem health using acoustic recording. By mapping biodiversity patterns in space and time with ecoacoustic monitoring, hot spots and hot moments of biodiversity activity can be identified, supporting informed conservation decision-making and ecological urban design in future urban planning frameworks.
ECOLOGICAL INDICATORS
(2021)
Article
Multidisciplinary Sciences
Heather Welch, Tyler Clavelle, Timothy D. White, Megan A. Cimino, Jennifer Van Osdel, Timothy Hochberg, David Kroodsma, Elliott L. Hazen
Summary: Illegal, unreported, and unregulated fishing causes significant economic losses, damage to aquatic life, and human rights violations. Vessel tracking data can help combat this issue, but the disabling of transponders reduces its effectiveness. A global dataset reveals that up to 6% of vessel activity is obscured, with hot spots of disabling located near Argentina, West African nations, and the Northwest Pacific. Disabling is most prevalent near transshipment hot spots and contested EEZ boundaries. The study also suggests a connection between disabling and hiding locations from competitors and pirates.
Article
Computer Science, Artificial Intelligence
M. Venkatanaresh, I. Kullayamma
Summary: The lack of ground truth labels makes crop type prediction in high resolution satellite images challenging. This work presents a new approach using a hybrid deep capsule auto encoder for enhanced crop prediction in remote sensing images. Experimental results show that the technique outperforms existing approaches in terms of accuracy, sensitivity, F-score, etc.
KNOWLEDGE-BASED SYSTEMS
(2022)
Review
Biotechnology & Applied Microbiology
Haoran Yu, Shuang Ma, Yiwen Li, Paul A. Dalby
Summary: Directed evolution is a powerful strategy to engineer protein properties, and hot spot prediction is crucial for producing smart libraries. Selection of hot spots based on sequence and structure allows for efficient generation of proteins with desired properties.
BIOTECHNOLOGY ADVANCES
(2022)
Article
Engineering, Electrical & Electronic
Chao Cheng, Ming Liu, Hui Yi, Guangtao Ran, Hongtian Chen
Summary: In this article, a data-driven detection method based on slow manifold analysis (SMA) is proposed for detecting hot spots in photovoltaic (PV) systems. This method can extract the nonlinear information hidden in monitoring data from PV modules and has high computational efficiency and applicability.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Information Systems
Xiao Wu, Xiaoli Hao
Summary: This paper proposes a method for detecting hot spot faults on photovoltaic panels, called SK-FRCNN (Selective Kernel-Faster RCNN), based on the Faster RCNN network. The method improves the detection accuracy by using an attention mechanism, feature pyramid structure, and ROI Align unit.
Article
Chemistry, Multidisciplinary
Thomas Vasileiadis, Adnane Noual, Yuchen Wang, Bartlomiej Graczykowski, Bahram Djafari-Rouhani, Shu Yang, George Fytas
Summary: This study investigates the effect of plasmonic coupling on optomechanics using Brillouin light spectroscopy in a nanocomposite system of gold nanorods and polyvinyl alcohol. The intensity of inelastically scattered light on thermal phonons is found to be strongly influenced by the wavelength of the probing light, revealing different vibrational modes for resonant and off-resonant light.
Article
Meteorology & Atmospheric Sciences
Moustapha Tall, Mouhamadou Bamba Sylla, Alima Dajuma, Mansour Almazroui, Djan'na Koubodana Houteta, Nana Ama Browne Klutse, Alessandro Dosio, Christopher Lennard, Fatima Driouech, Arona Diedhiou, Filippo Giorgi
Summary: This study analyzes the spatiotemporal variability of meteorological droughts, their changes, and hot spot locations across Africa using the Standardized Precipitation Index (SPI) applied to precipitation data from different sources. The results identify five regions with similar drought variability and show that the most common periods of drought occurrence are the 1970s, 1980s, and to a lesser extent, the 1990s. Changes in drought characteristics indicate increased duration, frequency, and severity in certain regions during the intermediate and recent past compared to the far past. These findings are useful for drought risk management in Africa and future drought analysis under global warming conditions.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Julian Alberto Giles, Claudio Guillermo Menendez, Romina Carla Ruscica
Summary: Land-atmosphere interactions have significant impacts on climate variability in South America, particularly in southeastern South America (SESA) and eastern Brazil. Soil moisture variability not only affects local climate but also has nonlocal effects through changes in regional circulation. This study analyzes numerical experiments to understand how soil moisture interacts with regional climate and modulates precipitation in SESA and eastern Brazil. The findings highlight a nonlocal coupling mechanism between these two hotspots, favoring precipitation in eastern Brazil at the expense of SESA through shifts in regional circulation.
JOURNAL OF CLIMATE
(2023)
Article
Chemistry, Analytical
Airat Kotliar-Shapirov, Fedor S. Fedorov, Henni Ouerdane, Stanislav Evlashin, Albert G. Nasibulin, Keith J. Stevenson
Summary: Gas mixtures analysis using cyclic voltammetry for NO2 and CO2 components and their mixtures was carried out, with data processing involving principal component analysis. Accurate gas mixture concentration profiles were obtained through this approach.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2021)
Article
Computer Science, Artificial Intelligence
P. Deepak, Sowmya S. Sundaram
Summary: The pervasiveness of tracking devices and availability of spatially located data has increased the interest in using them for policy interventions such as spatial hot spot detection. This paper introduces the concept of fairness in detecting spatial hot spots and presents a method, called FiSH, for efficiently identifying high-quality, fair, and diverse sets of spatial hot spots.
DATA MINING AND KNOWLEDGE DISCOVERY
(2023)
Article
Engineering, Electrical & Electronic
Haocheng Su, Zhenya Wang, Yuxiang Cai, Jiaxin Ding, Xinglong Wang, Ligang Yao
Summary: A novel fault diagnosis scheme using refined composite multiscale fluctuation dispersion entropy (RCMFDE) and supervised manifold mapping is proposed for planetary gearboxes. RCMFDE is employed to extract fault features under multiple scales, followed by supervised isometric mapping (S-Iso) to reduce dimensions and remove redundant information. The marine predator algorithm-based support vector machine (MPA-SVM) is used for intelligent fault diagnosis. The experiments show that RCMFDE outperforms traditional methods in feature extraction, and S-Iso is superior to other dimensionality reduction techniques. The proposed scheme achieves 100% accuracy in identifying bearing and gear defects in planetary gearboxes.
Article
Ecology
Valeria Di Biagio, Stefano Salon, Laura Feudale, Gianpiero Cossarini
Summary: This study investigates the subsurface oxygen maximum (SOM) in the Mediterranean Sea, showing different characteristics between the western and eastern Mediterranean in summer. The model-derived concentrations and depths are in agreement with estimations from the literature and display mesoscale variability patterns.
Article
Agronomy
Gunnar Lischeid, Heidi Webber, Michael Sommer, Claas Nendel, Frank Ewert
Summary: This study utilized machine learning methods to investigate the impact of climatic and soil hydrological factors on the yield of four crops, highlighting the uniqueness of key predictors. Random Forest and Support Vector Machine models achieved between 50% and 70% capture of spatial and temporal variance, with different sets of predictors performing similarly. In light of climate change, excess precipitation and heat effects are seen as important factors in crop breeding and modeling.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Biochemistry & Molecular Biology
Mina Bizic, Danny Ionescu, Rajat Karnatak, Camille L. Musseau, Gabriela Onandia, Stella A. Berger, Jens C. Nejstgaard, Gunnar Lischeid, Mark O. Gessner, Sabine Wollrab, Hans-Peter Grossart
Summary: Changes in land use and agricultural intensification have negative impacts on biodiversity and ecosystem functioning of small water bodies. A study in northeastern Germany found that land-use type affects the structure of active bacterial, archaeal, and eukaryotic communities in kettle holes, but does not significantly impact gene expression patterns. This suggests a high level of functional redundancy across the communities. The study highlights the importance of considering the effects of surrounding landscape on water bodies for sustainable management and biodiversity conservation.
Article
Environmental Sciences
Joscha Opitz, Martin Bauer, Jutta Eckert, Stefan Peiffer, Matthias Alte
Summary: A three-stage pilot system was implemented for passive treatment of ferruginous seepage water. The system consisted of settling ponds, wetlands, and sediment filters. The study found that wetlands and sediment filters were crucial for meeting the effluent limit, and the performance and reliability of the multi-stage system were comparable to a conventional treatment plant.
WATER AIR AND SOIL POLLUTION
(2022)
Article
Agriculture, Multidisciplinary
Jorg Steidl, Gunnar Lischeid, Clemens Engelke, Franka Koch
Summary: One challenge for modern agricultural management is reducing harmful effects on the environment, particularly nutrient emissions. This study found that sampling the effluent of tile drains is an effective way to assess the efficacy of management measures. The results showed that direct effects of recent agricultural management were minimal, while long-term agricultural activities had indirect effects on nearly all solutes.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Article
Geochemistry & Geophysics
Susanta Paikaray, Stefan Peiffer
Summary: The study found that the mobility of arsenic in soil is influenced by soil constituents and crop practices, with arsenic release mainly occurring through an ion exchange mechanism. Despite poor bioavailability, a higher amount of arsenic can be released through the phosphate extraction process.
APPLIED GEOCHEMISTRY
(2022)
Article
Ecology
D. Ionescu, M. Bizic, R. Karnatak, C. L. Musseau, G. Onandia, M. Kasada, S. A. Berger, J. C. Nejstgaard, M. Ryo, G. Lischeid, M. O. Gessner, S. Wollrab, H. -P. Grossart
Summary: Local biodiversity patterns are influenced by topography, land use, nutrient supplies, and other factors. However, long-term intensive industrial agriculture can lead to a homogenization effect on biodiversity. This study used deep amplicon sequencing of environmental DNA to investigate the impact of land use on biodiversity levels and community composition in kettle holes. The results showed that land use intensification and landscape wide nutrient enrichment resulted in a homogenization of aquatic biodiversity.
ECOLOGICAL MONOGRAPHS
(2022)
Article
Engineering, Environmental
Joscha Opitz, Martin Bauer, Matthias Alte, Johanna Schmidtmann, Stefan Peiffer
Summary: This study systematically investigated the sedimentation behavior of hydrous ferric oxides in water and proposed a model approach to approximate the aggregation/sedimentation kinetics in engineered systems. The results show that the aggregation and settling processes are influenced by ferrous iron oxidation and the concentration of hydrous ferric oxides, with corresponding kinetic parameters determined. Additionally, the study found that the removal of hydrous ferric oxides at low iron levels can be well approximated by a simplified first-order relationship.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Lijun Dai, Jingsong Ge, Lingqing Wang, Qian Zhang, Tao Liang, Nanthi Bolan, Gunnar Lischeid, Joerg Rinklebe
Summary: The effects of topography, land cover type, and soil physicochemical properties on the distribution of soil organic carbon (SOC) and total nitrogen (TN) in the Qinghai-Tibet plateau were investigated. It was found that altitude and TN were the most important factors influencing SOC in the surface and subsurface soil layers.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Environmental Sciences
Shaojian Zhang, Stefan Peiffer, Xiaoting Liao, Zhengheng Yang, Xiaoming Ma, Di He
Summary: This paper provides a comprehensive review on the sulfidation process of ferric (hydr)oxides and the transformation of relevant contaminants. It presents detailed reaction mechanisms and factors that control the formation of surface associated Fe(II), iron sulfide minerals, as well as the transformation of secondary minerals. The paper also summarizes the transformation mechanisms of a variety of typical environmentally relevant contaminants and identifies challenges and further research needs in in situ remediation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Pouyan Ahmadi, Hassan Elagami, Franz Dichgans, Christian Schmidt, Benjamin S. Gilfedder, Sven Frei, Stefan Peiffer, Jan H. Fleckenstein
Summary: The study investigates the effects of different physical parameters on the terminal settling velocity (TSV) of microplastic particles in lakes. Density is found to be the most decisive parameter, followed by volume, water temperature, and particle roundness. The simulation results provide a frame of reference for evaluating the residence time and potential exposure of particles in lakes.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Gunnar Lischeid, Jorg Steidl, Clemens Engelke, Franka Koch
Summary: Groundwater contamination by pesticides is frequently found in arable farming areas. A study conducted in Mecklenburg-Vorpommern investigated the direct causal relationships between management measures and pesticide contamination. The study found that the mobilisation of pollutants from the topsoil occurs in a similar way for all substances and can be modelled using a machine learning method. Soil hydrological models could help optimize monitoring campaigns to reduce pollutant emissions into the shallow groundwater.
Article
Ecology
Camille L. Musseau, Gabriela Onandia, Jana S. Petermann, Alban Sagouis, Gunnar Lischeid, Jonathan M. Jeschke
Summary: Agriculture is a major cause of biodiversity loss, and ponds play a crucial role in supporting biodiversity in agricultural landscapes. Eutrophication and excessive shading have negative impacts on the biodiversity of ponds. The proportion of arable land in the surroundings of ponds decreases the dissimilarity between ponds, while shallower ponds have higher diversity. Taxonomic turnover drives the diversity of ponds, and ponds embedded in arable fields support local and regional diversity.
ECOLOGY AND EVOLUTION
(2022)
Article
Engineering, Environmental
Qihuang Wang, Jiajia Wang, Xingxing Wang, Naresh Kumar, Zezhen Pan, Stefan Peiffer, Zimeng Wang
Summary: This study investigated the influence of the association of poorly crystalline iron (hydr)-oxides with organic matter (OM) on iron and carbon cycles in soils and sediments, as well as their behaviors under sulfate-reducing conditions. The results showed that the effect of added OM on sulfidation of ferrihydrite-organic matter (Fh-OM) coprecipitates is dependent on the amount of loaded sulfide. The presence of OM inhibited mineral transformation, with microbiogenic EPS having a stronger inhibitory effect compared to synthetic EPS proxies.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Andreas Cramer, Johanna Schmidtmann, Pascal Benard, Anders Kaestner, Matthias Engelhardt, Stefan Peiffer, Andrea Carminati
Summary: Addition of microplastics (MP) to soil can increase soil water repellency, but coating MP with iron compounds such as ferrihydrite can reduce this effect. This study investigated whether pre-coating or in situ coating of MP with ferrihydrite reduces soil water repellency. The results showed that pristine MP hotspots were not wettable, but water could imbibed into the coated MP hotspots depending on the polymer type. The coating of MP with ferrihydrite can change MP surface wettability and counteract the hydrophobic properties of pristine MP.
ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS
(2023)
Article
Chemistry, Analytical
Johanna Schmidtmann, Hassan Elagami, Bejamin S. Gilfedder, Jan H. Fleckenstein, Georg Papastavrou, Ulrich Mansfeld, Stefan Peiffer
Summary: This study found that ferrihydrite can increase the sedimentation rate of microplastics and remove them from the water column. Particularly at acidic pH values, heteroaggregation occurs between ferrihydrite and microplastic particles, leading to their removal from the water.
ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS
(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)