Review
Geosciences, Multidisciplinary
Federico Raspini, Francesco Caleca, Matteo Del Soldato, Davide Festa, Pierluigi Confuorto, Silvia Bianchini
Summary: This paper presents a critical review of the existing literature on the use of satellite SAR imagery for subsidence analysis. The review highlights the growth in scientific production and the increasing interest in subsidence studies. It also emphasizes the role of satellite InSAR as an operative tool in subsidence research, while acknowledging the remaining technical and operational challenges.
EARTH-SCIENCE REVIEWS
(2022)
Article
Mining & Mineral Processing
Bailey S. Simmons, Jessica M. Wempen
Summary: Monitoring subsidence caused by longwall mining through a variety of techniques can help establish relationships between surface deformation and longwall face advance. Differential Interferometric Synthetic Aperture Radar (DInSAR) provides data with long temporal coverage for subsidence monitoring.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY
(2021)
Article
Environmental Sciences
Greg Robson, Paul Treitz, Scott F. Lamoureux, Kevin Murnaghan, Brian Brisco
Summary: By using DInSAR technology in combination with various data sources, it was found that in continuous permafrost environments, seasonal surface displacements mainly occur in low-lying, wet, and steep areas, with maximum magnitudes of up to 10 cm but generally less than 4 cm.
Article
Geosciences, Multidisciplinary
Wei Tang, Mingliang Wang, Peixian Li, Guorui Wang, Yueguan Yan, Weitao Yan
Summary: The aim of this study was to investigate regional-scale mining subsidence in the Ningdong coal base area in China using conventional and advanced Differential Synthetic Aperture Radar Interferometry (DInSAR) methods. L-band and C-band SAR data from ALOS-2 and Sentinel-1A satellites were analyzed, and a coherence-based SBAS method was used to increase the spatial extent of displacement signals. The results demonstrated the effectiveness of combining L-band and C-band SAR data for monitoring mining subsidence and gaining insights into subsidence dynamics.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Environmental Sciences
Yafei Zhang, Xugang Lian, Linlin Ge, Xiaoyu Liu, Zheyuan Du, Wenfu Yang, Yanru Wu, Haifeng Hu, Yinfei Cai
Summary: Surface subsidence caused by coal mining is a significant factor affecting the sustainable development of mining districts. This study proposes combining DInSAR and UAV photogrammetry to achieve high-precision monitoring of mining subsidence areas, which proves to be more accurate than using either technology alone.
Article
Environmental Sciences
Mahdi Khoshlahjeh Azar, Amir Hamedpour, Yasser Maghsoudi, Daniele Perissin
Summary: This study used space-based Synthetic Aperture Radar images to investigate the formation mechanism of sinkholes in two Iranian plains, revealing precursory ground subsidence before sinkhole formation. Time-series analysis showed a gradual acceleration in the sinkhole formation process, with significant ground displacement changes appearing in the days leading up to formation.
Article
Environmental Sciences
Nicolas Scivetti, Paulo Marcos, Maria Eugenia Prieto, Cecilia Pavon Pivetta, Leonardo Benedini, Agustin J. Stremel, Marcos E. Bahia, Andres Bilmes, Sebastian Richiano
Summary: This study analyzed the Line of Sight surface velocity in Bahia Blanca city from 2016 to 2020 using DInSAR technique, revealing significant velocity variations in different sectors of the city and identifying factors leading to these changes. The study highlights the importance of reviewing urban planning and increasing control over groundwater exploitation based on the surface displacement results.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Yaozong Xu, Tao Li, Xinming Tang, Xiang Zhang, Hongdong Fan, Yuewen Wang
Summary: The study conducted deformation observation experiments in the Datong coalfield using DInSAR, stacking-InSAR, and SBAS-InSAR methods and found that stacking-InSAR is an effective and efficient method for identifying the location and shape of mining deformations.
Article
Environmental Sciences
Pranshu Pranjal, Neha Kadiyan, R. S. Chatterjee, Dheeraj Kumar, Madhu Sudan Sati
Summary: The study reveals that several regions in north-western India, such as Dera Bassi, Landran, Singhpura, and Ambala, have been experiencing constant depletion of groundwater due to massive long-term extraction, leading to land deformation phenomena.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Computer Science, Information Systems
Fatemeh Rafiei, Saeid Gharechelou, Saeed Golian, Brian Alan Johnson
Summary: Climate change and overpopulation have increased water demands worldwide, leading to land subsidence in arid and semiarid regions. The agricultural plain of Samalghan in Iran has experienced significant land subsidence due to groundwater overexploitation.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Sciences
Bahram Choubin, Kourosh Shirani, Farzaneh Sajedi Hosseini, Javad Taheri, Omid Rahmati
Summary: Land subsidence is a significant challenge for land and water resource managers. Radar datasets provide low-cost information and revolutionize the way we understand it. Machine learning methods have become popular in predicting natural hazards, and this research aims to apply an efficient approach for simulating land subsidence using radar and ensemble-based models.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Jose Cuervas-Mons, Jose Luis Zezere, Maria Jose Dominguez-Cuesta, Anna Barra, Cristina Reyes-Carmona, Oriol Monserrat, Sergio Cruz Oliveira, Raquel Melo
Summary: This study provides a detailed analysis of subsidence phenomena in the Lisbon metropolitan area, finding that it is mainly associated with the compaction of alluvial and anthropic deposits in urban and industrial areas.
Article
Geosciences, Multidisciplinary
Mohsen Pourkhosravani, Ali Mehrabi, Saied Pirasteh, Reza Derakhshani
Summary: This study evaluates and monitors the displacement caused by landslides in Maskun, Iran using DInSAR and PSI techniques. It identifies the relationships between climatic conditions and mass displacement.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Engineering, Civil
R. S. Chatterjee, Shravanee Singha, Ashish Aggarwal, Vimanyu Sharma, Pranshu Pranjal, Anuradha Karunakalage, P. K. Jain, A. Nagar, D. S. Mitra, D. Kumar, N. R. Patel, P. Chauhan
Summary: In this study, a framework for studying land subsidence in Mehsana, Gujarat, India was presented. The main causes of land subsidence were identified as groundwater overdraft and oil extraction. Analysis of InSAR data showed varying rates and trends of subsidence in different areas of the city.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Katsunoshin Nishi, Masaaki Kawai, Bowo Eko Cahyono, Mirza Muhammad Waqar, Kaori Nishi, Josaphat Tetuko Sri Sumantyo
Summary: Concerns about land subsidence recurrence have risen in Japan due to urban development and groundwater use. While land subsidence observation wells have been used for monitoring, the aging facilities have sparked interest in remote sensing technology. This paper evaluates the substitutability of Consecutive DInSAR with the land subsidence observation well, using SARPROZ software to analyze Sentinel 1 images from August 2017 to March 2022 in Kanagawa prefecture. The study also introduces a new calculation model to estimate land subsidence based on the law of material conservation. The results show that Consecutive DInSAR aligns with the observation well data, indicating potential future substitution.
GEOCARTO INTERNATIONAL
(2023)
Article
Engineering, Geological
Maria Elvira Garrido, Ferry B. Petnga, Victor Martinez-Ibanez, Jose B. Seron, Carlos Hidalgo-Signes, Roberto Tomas
Summary: This research focuses on the impact of high temperatures and cooling methods on the strength and hardness of a limestone widely used in historic buildings in Eastern Spain, as well as studying the possibility of indirectly obtaining UCS through PLT and LHT tests. The results show significant decreases in UCS, PLT index, and LHT index as temperature increases, with slightly higher values observed in slowly cooled samples. This study provides valuable correlations for predicting UCS in historic buildings affected by fire, using faster and easier non-destructive methods.
ROCK MECHANICS AND ROCK ENGINEERING
(2022)
Article
Engineering, Environmental
A. Rabat, R. Tomas, M. Cano, I Perez-Rey, J. S. Siles, L. R. Alejano
Summary: Accurately evaluating the shear strength of discontinuities is crucial for determining the safety of mining and civil engineering works. Tilt testing is commonly used, but its results are influenced by multiple factors. However, little research has focused on the impact of water content variations on tilt test results. This study conducted tilt tests on three limestone lithotypes and found that full water saturation caused moderate reductions or increases in the friction angle, depending on the microstructure and mineralogy. Exposure to high humidity did not significantly affect the friction angle. Important considerations related to tilt testing, such as the variability of the sliding angle and the impact of multiple sliding on the same rock surfaces, are also discussed.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Environmental Sciences
Miguel Cano, Jose Luis Pastor, Roberto Tomas, Adrian Riquelme, Jose Luis Asensio
Summary: This paper proposes a methodology for bridge inspections using images acquired by unmanned aerial vehicles (UAVs). The methodology allows for safe access to upper parts of the structures without traffic disruptions. The images are studied by civil engineers for damage identification and specific inspection forms are completed using the acquired information. The suggested methodology was tested on two railway bridges in France.
Article
Engineering, Multidisciplinary
Yin YuePing, Liu XiaoJie, Zhao ChaoYing, Roberto Tomas, Zhang Qin, Lu Zhong, Li Bin
Summary: The translation discusses the importance of multi-dimensional, long-term time series displacement monitoring in generating early warnings for active landslides and mitigating geohazards. It introduces an improved cross-platform SAR offset tracking method that can estimate high-precision landslide displacements in two and three dimensions, as well as calculate long-term time series displacements over a decade. The method optimizes the traditional SAR offset tracking workflow by incorporating ortho-rectification, adaptive matching window, and displacement inversion network design. Mathematical equations are built to estimate the 2D and 3D long-term time series landslide displacements using cross-platform SAR observations. The proposed method is demonstrated using ALOS/PALSAR-1 and ALOS/PALSAR-2 images of the Laojingbian landslide in China, showing significant improvements over traditional methods. The method also allows for understanding the fine-scale landslide kinematics, performing early warning of hazard, and forecasting future displacement evolution.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2022)
Article
Environmental Sciences
Liuru Hu, Maria Navarro-Hernandez, Xiaojie Liu, Roberto Tomas, Xinming Tang, Guadalupe Bru, Pablo Ezquerro, Qingtao Zhang
Summary: This study proposes a new point cloud differencing methodology to detect land subsidence at a basin scale. The method is applied to LiDAR datasets acquired in 2009 and 2016, and the results are compared with continuous GNSS stations and InSAR datasets, showing good agreement. The study also compares the results with the distribution of compressible soil thickness, revealing a clear relationship.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Engineering, Geological
Alvaro Rabat, Roberto Tomas, Miguel Cano
Summary: Understanding the tensile behavior of rocks and its water-induced variation is crucial for designing mining and civil engineering structures and assessing geotechnical hazards. This study expands knowledge by determining the tensile properties of porous limestone under dry and water-saturated conditions through direct and indirect methods. The results show that water saturation significantly reduces the tensile strength and modulus of the limestone, and the petrological characteristics and mineral composition are analyzed to explain the observed softening. Accurate correlations between direct and indirect tensile strength parameters are established, providing a novel and useful contribution to geomechanics.
ENGINEERING GEOLOGY
(2023)
Article
Geography, Physical
Ningling Wen, Keren Dai, Roberto Tomas, Mingtang Wu, Chen Chen, Jin Deng, Xianlin Shi, Wenkai Feng
Summary: The potential landslides in the river bank of Maoergai hydropower station were monitored using SBAS-InSAR, and the fluctuation of reservoir water level was found to be the main triggering factor for slope displacement. The displacement showed a seasonal trend and had a common power with reservoir water fluctuation at an interannual scale of one year. By using InSAR and wavelet tools, this study quantitatively revealed the time lag between slope stability and reservoir water fluctuation, providing strong support for the analysis of landslide mechanisms in the Maoergai reservoir area.
GISCIENCE & REMOTE SENSING
(2023)
Article
Engineering, Geological
Da Huang, Yi-xiang Song, Zhao Li, Shi-lin Luo, Jian-bing Peng, Roberto Tomas
Summary: In this study, the working performance and mechanism of a novel upper-hollow drainage anti-slide pile (UDAP) were evaluated through physical model tests and numerical simulations. The results showed that UDAPs have excellent drainage performance and can reduce both earth pressure and pore water pressure. Numerical simulations conducted on the Quchi landslide in China demonstrated that UDAPs have a significantly better retaining effect compared to conventional anti-slide piles (CAPs), reducing landslide thrust and deformation. These findings provide an important basis for future research, design, popularization, and application of UDAPs.
Article
Computer Science, Interdisciplinary Applications
Shi-lin Luo, Da Huang, Jian-bing Peng, Ailifeila Aierken, Zhao Li, Xi-bin Kuang, Roberto Tomas
Summary: This paper studies the development of landslides in the Three Gorges Reservoir area and the factors affecting them. The Outang landslide, a typical accumulation landslide, is taken as an example. The study finds that the displacements of the landslide show a step-like pattern over time, with rainfall and reservoir water being the main factors affecting the upper and lower parts of the landslide. The study also proposes a novel drainage anti-slide pile and verifies its drainage performance through physical model testing.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Geological
R. Tomas, E. Diaz, W. T. Szeibert, X. Liu, J. M. Lopez-Sanchez, C. Zhao
Summary: This paper analyzes an active landslide in Alcoy, Spain, which affects a road and industrial buildings of historical significance. High-resolution SAR images from the PAZ satellite were used to determine the behavior of the landslide, and detailed geomorphological mapping and structural damage analysis were conducted. 3D modeling confirmed the overall instability of the area and the relationship between the landslide and rainfall and road construction. This information is crucial for local authorities to effectively manage the landslide.
Article
Engineering, Geological
Roberto Tomas, Marisa Pinheiro, Pedro Pinto, Eduardo Pereira, Tiago Miranda
Summary: A catastrophic rock planar slide occurred in Palmeira de Faro, Esposende, Portugal on November 23, 2022, resulting in the death of two people in a building close to the affected cut slope. The slide was caused by a granitic rock mass that was heavily weathered and had been excavated in some areas by mechanical means and blasting. The trajectory of the displaced material was oblique and followed the structural control of the instability caused by discontinuity sets. Unfavorable geological conditions, abnormal rainfall, and excavations on the cut slope may have contributed to the instability.
Article
Engineering, Geological
Keren Dai, Zhiyu Li, Qiang Xu, Roberto Tomas, Tao Li, Liming Jiang, Jianyong Zhang, Tao Yin, Hao Wang
Summary: This study used multi-source remote sensing techniques to identify and evaluate the upper slope of the Aniangzhai landslide in Danba County, Sichuan Province, China. By using unmanned aerial vehicle (UAV) photogrammetry, light detection and ranging (LiDAR), and satellite-based interferometric synthetic aperture radar (InSAR) techniques, a 3D model and a digital elevation model (DEM) of the landslide were obtained, confirming the presence of large cracks and revealing its activity. The results demonstrated the usefulness of an integrated method in identifying and evaluating the potential hazard of high-altitude upper slopes and provided a reference for mitigating potential damage in the future.
Article
Environmental Sciences
Liuru Hu, Roberto Tomas, Xinming Tang, Juan Lopez Vinielles, Gerardo Herrera, Tao Li, Zhiwei Liu
Summary: This study demonstrates the potential of using space-borne InSAR and airborne LiDAR techniques, combined with a simple slope stability geotechnical model, to obtain and update inventory maps of active deformations in mining areas. By analyzing Sentinel-1 InSAR imagery and LiDAR point cloud data, various active deformation areas, including consolidation of waste dumps, earthworks, erosion, and landslides, were identified in the Sierra de Cartagena-La Union mining area in southeast Spain. The integration of InSAR and LiDAR with simple geotechnical models proves to be effective in updating inventory maps of active deformation areas in mining zones.
Article
Environmental Sciences
Hengyi Chen, Chaoying Zhao, Roberto Tomas, Liquan Chen, Chengsheng Yang, Yuning Zhang
Summary: The study combines SAR offset tracking and interferometric phase to obtain the large-gradient surface displacement. A multi-segment logistic model is proposed to simulate the temporal effect induced by repeated mining activities. The simplified probability integral method (SPIM) is used to separate the displacement of mining subsidence and landslide and assess their impact. The results show that repeated mining activities not only cause land subsidence and rock avalanches, but also accelerate landslide displacement.
Article
Engineering, Civil
Maria I. Navarro-Hernandez, Javier Valdes-Abellan, Roberto Tomas, Serena Tessitore, Pablo Ezquerro, Gerardo Herrera
Summary: This study compared two different scenarios of land subsidence in flood event models for 1992 and 2016. It found that there was a 2.04 km2 increase in flooded areas with water depths exceeding 0.7 m over the 14-year period. These findings were used to create a flood risk map and assess the economic flood risk.
WATER RESOURCES 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)