Article
Environmental Sciences
Rebeca Martinez-Retureta, Mauricio Aguayo, Norberto J. Abreu, Roberto Urrutia, Cristian Echeverria, Octavio Lagos, Lien Rodriguez-Lopez, Iongel Duran-Llacer, Ricardo O. Barra
Summary: Land use/cover change and climate change affect water resource availability, highlighting the necessity to promote land use management strategies to counteract the effects of climate change in watersheds.
Article
Environmental Sciences
Jonas Dill, Roberto Novaes Dagios, Virginia Grace Barros
Summary: Climatic changes and land usage and cover have significant impacts on the availability of water resources. Managing and understanding the effects of these factors on water resources are crucial for regional development. The study highlighted the vulnerabilities in water resource management and the issue of excessive use of authorized flow due to population growth.
ENVIRONMENTAL SCIENCE & POLICY
(2022)
Article
Water Resources
Sedighe Nikkhoo Amiri, Mojtaba Khoshravesh, Reza Norooz Valashedi
Summary: Climate change is a significant factor affecting water supply in semi-arid and arid areas such as Iran. This research investigates the impact of climate change and upstream land use on the Tajan River in northern Iran. The study shows that peak streamflow will increase by 4% and 5.7%, while average annual discharges will decrease by 16% and 16.5% from 2016 to 2066 under different climate scenarios. Furthermore, different land use change scenarios lead to an increase in average annual streamflow by 8.5-15.8%. It is concluded that downstream water users should implement strategies to cope with the changing climate and water scarcity.
APPLIED WATER SCIENCE
(2023)
Article
Water Resources
Han Ma, Lei Zhong, Yunfei Fu, Meilin Cheng, Xian Wang, Ming Cheng, Yaoxin Chang
Summary: This study assesses the combined impacts of global climate change and human activities on the hydrological processes in the Fuhe River Basin. The results indicate that future flow and water availability will experience significant changes, leading to more frequent and severe floods and droughts.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Green & Sustainable Science & Technology
Jimin Lee, Minji Park, Joong-Hyuk Min, Eun Hye Na
Summary: Changes in land use and climate can affect the surface runoff and baseflow of streamflow. This study aims to improve predictions of streamflow using the SWAT model by applying the alpha factor estimated using BFLOW for calibration, and to evaluate the impacts of land use and climate changes on streamflow and baseflow. The results show that the alpha factor estimated using BFLOW improves the prediction accuracy of streamflow and baseflow in the SWAT model. Additionally, changes in land use have led to differences in the seasonal characteristics of streamflow and baseflow in the study area.
Article
Environmental Sciences
Mulatu Liyew Berihun, Atsushi Tsunekawa, Nigussie Haregeweyn, Mitsuru Tsubo, Ayele Almaw Fenta, Kindiye Ebabu, Haimanote Kebede Bayabil, Yihun Taddele Dile
Summary: This study examines the impact of land use and management practices on runoff and sediment loss in the Ethiopian highlands. It finds that land use changes can significantly reduce water and soil erosion, and that improving vegetation cover and adopting best land management practices are effective and climate-resilient strategies.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Farzana Raihan, Gabrijel Ondrasek, Mohammad Shahidul Islam, Joseph M. Maina, Linda J. Beaumont
Summary: In Bangladesh, rapid population growth and associated land-use changes are escalating water scarcity issues, which will be further exacerbated under ongoing climate change. Predicting the consequences of climate and land-use change on freshwater supplies is critical for the sustainable management of water resources. By simulating long-term stream flows in the Halda Basin under various scenarios, it was found that future climate change is likely to have a greater impact on altering streamflow compared to land-use changes. Our results should guide environmental management authorities in more sustainable water resource planning under global climate change.
Article
Environmental Sciences
Chongxun Mo, Mengxiang Bao, Shufeng Lai, Juan Deng, Peiyu Tang, Zhenxiang Xing, Gang Tang, Lingguang Li
Summary: Climate change and land use change have significant impacts on the regional water cycle and water resources management. This study proposes a framework combining future land use simulation, statistical downscaling, soil and water assessment, and multi-point calibration to study runoff changes in karst watersheds under future climate and land use changes. The results show that the SWAT model captures the spatial heterogeneity characteristics of karst hydro-climate, land use changes significantly in different scenarios, and future temperature and precipitation will increase. Future runoff is predicted to increase, with the main concentration in July-September. The findings have important implications for water resources management and water security in karst basins.
Article
Engineering, Civil
Z. P. Xu, Y. P. Li, G. H. Huang, S. G. Wang, Y. R. Liu
Summary: In this study, the MESF method is used to analyze streamflow variations in the upper reaches of the Amu Darya River Basin in Central Asia. Results show that climate change has a more significant impact on streamflow compared to land-use changes, especially the melting of glaciers due to global warming.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Saif Haider, Muhammad Umer Masood, Muhammad Rashid, Fahad Alshehri, Chaitanya B. Pande, Okan Mert Katipoglu, Romulus Costache
Summary: Assessing the impacts of climate change and land use/land cover changes on water resources is crucial for water management. This study used SWAT model and CMIP6 dataset to evaluate the potential effects of land use/land cover and climate change on stream flows in Pakistan's Kunhar River Basin. The findings highlight the significant impact of climate change on the changing seasons of flows in the basin.
Article
Water Resources
Bisrat Ayalew Yifru, Il-Moon Chung, Min-Gyu Kim, Sun Woo Chang
Summary: The East African Rift Valley basin heavily relies on water discharge from highlands to rivers, with cultivated land dominating the area. The study explored the impact of land use/land cover and climate change on water yield and groundwater recharge using SWAT-MODFLOW. It was found that climate change significantly affects the spatial distribution of water yield and groundwater recharge, while land use/land cover change has a trivial effect.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Environmental Sciences
Demelash Ademe Malede, Tena Alamirew, Tesfa Gebrie Andualem
Summary: This study investigates the impacts of land use/land cover (LULC) and climate change on the hydrological processes of the Birr River watershed. The results show that changes in LULC have increased surface runoff and decreased baseflow, water yield, and evapotranspiration. Climate change has also increased surface runoff and water yield, while decreasing baseflow and evapotranspiration. These findings are important for authorities, water engineers, and managers concerned with hydrology, LULC, and climate.
Article
Environmental Sciences
Kun Xie, Hua Chen, Yunfeng Qiu, Jong-Suk Kim, Sun-Kwon Yoon, Yunfa Lin, Bingyi Liu, Jun Wang, Jie Chen, Shengwen Zhang
Summary: This study predicted and assessed the impacts of land-use change and climate change on streamflow, sediment, and total phosphorus loads using the SWAT model. Future land-use change had a negligible impact, while climate change was likely to amplify streamflow and sediment and reduce total phosphorus loads. The combined impact of land-use and climate change was greater than the sum of individual impacts, especially for total phosphorus loads.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Environmental Sciences
Mengxue Zhang, Radoslaw Stodolak, Jianxin Xia
Summary: Climate, land use, and human activity impact the Qingshui River in Chongli County, with human activity being the main factor for discharge decrease, particularly in the summer season. The over-extraction of groundwater for irrigation and mining has led to a decreasing trend in discharge, potentially stressing sustainable water use in the future. The study's results could aid in optimizing water resource allocation and management.
Article
Environmental Sciences
Mao Feng, Zhenyao Shen
Summary: The study evaluated the integrated impacts of climate and land use change on the inflow of the Miyun Reservoir watershed, proposing mitigation measures. Results showed that an appropriate land use change project could effectively reduce sediment and nutrient output under future climate scenarios, with the ecological protection scenario considering spatial configuration showing the best reduction effect.
Article
Environmental Sciences
Utkarsh Kumar, Ankur Srivastava, Nikul Kumari, Rashmi, Bhabagrahi Sahoo, Chandranath Chatterjee, Narendra Singh Raghuwanshi
Summary: This study developed a relationship between crop coefficient (Kc) and normalized difference vegetation index (NDVI) using linear regression and back calculations, aiming to estimate water requirements at different growth stages of crops. The results showed that NDVI-Kc estimated actual evapotranspiration (AET) was better correlated with the NDVI-Kc remote sensing model, which could assist in calculating water demand and allocating water resources effectively.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Rituparna Saha, Aishwariya Chakraborty, Sudip Misra, Sajal K. Das, Chandranath Chatterjee
Summary: This study introduces an efficient edge-empowered sensor-cloud architecture with a smart virtual sensing scheme for precision agriculture. By utilizing edge devices for sensor virtualization and implementing an intelligent virtualization scheme, the traditional issues in agricultural sensor-cloud are effectively addressed, resulting in improved performance and privacy protection.
IEEE SENSORS JOURNAL
(2021)
Article
Environmental Sciences
Suraj Goswami, Sudesh S. Choudhary, Chandranath Chatterjee, Damodar R. Mailapalli, Ashok Mishra, Narendra S. Raghuwanshi
Summary: This study successfully evaluated rice nitrogen status and predicted yield using UAV and derived vegetation indices, providing a feasible method for efficient fertilization.
JOURNAL OF APPLIED REMOTE SENSING
(2021)
Article
Water Resources
Amina Khatun, Poulomi Ganguli, Deepak Singh Bisht, Chandranath Chatterjee, Bhabagrahi Sahoo
Summary: This study investigates the physical association between Predecessor Rain Events (PREs) and peak runoff generation in seven catchments over the Upper Mahanadi River basin (UMRB), India. By developing a statistical-dynamical framework, the study assesses the compounding impact of PREs versus riverine floods during both retrospective and projected climate. The results show an increase in compound flood hazard in larger catchments during the projected period when considering PRE as the covariate.
HYDROLOGICAL PROCESSES
(2022)
Article
Environmental Sciences
Abhishek Patel, Prachi Pratyasha Jena, Amina Khatun, Chandranath Chatterjee
Summary: This study developed a digital elevation model (DEM) for the Mahanadi delta in India by integrating remotely sensed images and surveyed data, and used the model to simulate flood inundation. The results show that accurate DEMs can be generated through data integration and model calibration, and the simulated flood extent is in reasonable agreement with the observed counterpart.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2022)
Article
Computer Science, Information Systems
Abhishek Bera, Sudip Misra, Chandranath Chatterjee
Summary: This work proposes a location priority-aware service availability scheme for use in cellular-enabled multiple UAV networks in IoT applications. The scheme prioritizes high-priority locations and assigns UAVs to provide on-demand location-based IoT services. Simulation and real experiments show that the scheme improves service availability and reduces service delay compared to benchmark solutions.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Water Resources
Amina Khatun, Bhabagrahi Sahoo, Chandranath Chatterjee
Summary: This study evaluates the performance of different bias-correction techniques for rainfall forecasts and finds that the copula and eKSOM methods outperform the traditional quantile mapping approach. The eKSOM method shows better skills in capturing the seasonality of observed rainfall.
HYDROLOGICAL SCIENCES JOURNAL
(2022)
Article
Water Resources
Amina Khatun, Chandranath Chatterjee, Gaurav Sahu, Bhabagrahi Sahoo
Summary: A novel smoothing-based long short-term memory (Smooth-LSTM) framework is proposed for flood forecasting up to five days ahead, and compared with other models. The Smooth-LSTM model shows higher efficiency and better reproduction of peak floods compared to the benchmark LSTM, ANN, and MIKE models. It is found to be robust in operational flood forecasting, with lower uncertainty and the least sensitivity to redundant input information.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Computer Science, Theory & Methods
Rituparna Saha, Sudip Misra, Aishwariya Chakraborty, Chandranath Chatterjee, Pallav Kumar Deb
Summary: DICE is an efficient approach for client selection in federated learning, which considers both computation and communication abilities as well as on-device data quality to improve accuracy.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Article
Engineering, Civil
Amina Khatun, Bhabagrahi Sahoo, Chandranath Chatterjee
Summary: This study proposes two error-updating frameworks based on the MIKE11-NAM-HD model for 1-5 days ahead inflow forecasting. The hybrid Cop-SOM model demonstrates improved rainfall forecast skills with up to 5 days lead-time, and the bcMIKE-LSTM error-updating framework achieves high NSE scores within a 5-day lead-time.
JOURNAL OF HYDROLOGY
(2023)
Article
Agronomy
Krishna Mondal, Raja Babu Tantuway, Chandranath Chatterjee, Rajendra Singh
Summary: A spatially distributed water-energy-food (WEF) nexus model has been developed to analyze the WEF security of an area using the Pardee-RAND WEF approach. The model calculates water energy, food subindices, and the WEF nexus index to understand the WEF nexus and identify areas requiring specific policy interventions at different administrative levels.
IRRIGATION AND DRAINAGE
(2023)
Article
Engineering, Civil
Silvia Barbetta, Bhabagrahi Sahoo, Bianca Bonaccorsi, Trushnamayee Nanda, Chandranath Chatterjee, Tommaso Moramarco, Ezio Todini
Summary: The effect of flood waves entering into artificial reservoirs must be carefully considered for dam management. The optimization of dam management should be based on forecasting water volume entering the reservoir and planning releases. Flood forecasting models can provide discharge predictions and support civil protection activities for flood mitigation.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Sudarsan Biswal, Chandranath Chatterjee, Damodhara Rao Mailapalli
Summary: This study proposes the use of a UAV equipped with multispectral and thermal cameras to efficiently and quickly assess lodged areas and yield reduction. Four methods were used to analyze the imagery and determine the lodged area and reduced crop height. The temperature feature extraction method was proven to be the best for determining damage due to lodging.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2023)
Article
Engineering, Civil
Sushree Swagatika Swain, Shashi Bhushan Kumar, Ashok Mishra, Chandranath Chatterjee
Summary: To develop effective climate change adaptation strategies in regions with water scarcity, understanding the impact of human activities and climate change on hydrological responses is crucial. This study focuses on identifying hydrologically sensitive and resilient catchments using a framework that incorporates the elasticity-based Budyko approach. The framework is applied to three neighboring catchments in eastern India, and the results show that the Subarnarekha catchment is more sensitive to anthropogenic activities, while the Brahmani and Baitarani catchments are more sensitive to climate change. The study highlights the importance of considering the socio-hydrological perspective in assessing the sensitivity and resiliency of hydrological systems.
JOURNAL OF HYDROLOGY
(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)