Article
Environmental Sciences
Muhammad Touseef, Lihua Chen, Hang Chen, Hamza Farooq Gabriel, Wenzhe Yang, Ammara Mubeen
Summary: This study combines remote sensing and CMIP6 data with hydrological modeling to investigate the impact of climate change on hydrological parameters. Future changes in precipitation and streamflow were projected in the Hongshui River basin, and it was found that climate change contributes 11% to streamflow variability.
Article
Engineering, Civil
Chengde Yang, Min Xu, Shichang Kang, Congsheng Fu, Didi Hu
Summary: This study proposes a hybrid modeling framework that combines the SWAT+ model considering glacial hydrological processes with Gated Recurrent Unit neural networks to simulate and forecast streamflow in glacial river basins. The results indicate that the hybrid model outperforms both the traditional hydrological model and the deep learning model in terms of simulation and prediction accuracy.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Jingkai Xie, Yue-Ping Xu, Hongjie Yu, Yan Huang, Yuxue Guo
Summary: This study reconstructs and temporally downscales terrestrial water storage anomaly (TWSA) estimates into daily values using different learning-based models based on GRACE and GRACE-FO satellite data. A new index combining downscaled TWSA estimates and daily precipitation anomalies is proposed to monitor severe flood events at sub-monthly timescales. The results show that the proposed method has good performance and can monitor flood events earlier than traditional methods.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Engineering, Civil
Swati Maurya, Prashant K. K. Srivastava, Lu Zhuo, Aradhana Yaduvanshi, R. K. Mall
Summary: Climate change significantly affects the hydrological regime, and the integration of climate models with physical based models is crucial for accurate measurement of surface water changes. The study found that the INMCM-4 and MRI-CGCM3 models, as well as their ensemble mean, performed well in predicting rainfall and temperature in the Mahi River basin, India. The findings indicate that there will be an increase in average annual streamflow in the near future.
WATER RESOURCES MANAGEMENT
(2023)
Article
Water Resources
Rajesh Ranjan, Ashok Mishra
Summary: Understanding the connection between climate change and changes in streamflow and suspended sediment load is crucial for water resource management. This study examined the projected impact of climate change on streamflow and suspended sediment load in the flood-prone Mahanadi River Basin using the SWAT model. The findings suggest that rainfall and streamflow are expected to increase in the future, indicating the need for effective watershed management plans.
JOURNAL OF WATER AND CLIMATE CHANGE
(2023)
Article
Environmental Sciences
R. Visweshwaran, R. A. A. J. Ramsankaran, T. Eldho, Manoj Kumar Jha
Summary: This study assesses the impact of climate change on hydrological variables in the Bharathapuzha river basin in southern India. Five global circulation models were used to simulate future scenarios, and the SWAT hydrological model was employed for continuous simulation. The results indicate that rainfall, evapotranspiration, soil moisture, and surface runoff are projected to increase in the future.
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
Multidisciplinary Sciences
Negash Tessema Roba, Asfaw Kebede Kassa, Dame Yadeta Geleta, Arus Edo Harka
Summary: This study estimated sediment yield and streamflow in the Dawe River watershed, prioritizing catchment sub-watersheds for conservation planning. Statistical methods were used to evaluate the performance of the SWAT model in estimating streamflow and sediment output, with higher sediment output rates observed in agricultural lands with specific soil types and gradients. The implementation of best sediment management scenarios resulted in significant reductions in sediment yield, emphasizing the importance of adopting effective conservation strategies for sediment reduction in the watershed.
Article
Geosciences, Multidisciplinary
Chaoyue Li, Haiyan Fang
Summary: The study reveals that in the future, the temperature in Southeast Asia will increase and annual precipitation will decrease, especially in the Mun River Basin after 2020. Projections suggest that streamflow in the Mun River Basin will gradually increase over the following decades, particularly during the wet season months.
Article
Engineering, Environmental
M. S. Saranya, V. Nair Vinish
Summary: This study evaluated the applicability of a neural network autoregression (NNAR) model as a substitute for the Soil and Water Assessment Tool (SWAT) in predicting streamflow under data-scarce conditions. The NNAR model, using lagged values of daily streamflow data, demonstrated high accuracy in predicting streamflow.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Shuai Yang, Mou Leong Tan, Qixuan Song, Jian He, Nan Yao, Xiaogang Li, Xiaoying Yang
Summary: Global climate change has increased the frequency and magnitude of extreme events, especially in tropical regions. To facilitate water resource planning, management, and climate change mitigation efforts, it is crucial to develop hydrological models that can accurately simulate streamflow, particularly peak flow. This study explores the feasibility of improving streamflow simulation in the Kelantan River Basin through coupling a conceptual hydrological model (SWAT) with a deep learning model (Bi-LSTM).
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Dinesh Singh Bhati, Swatantra Kumar Dubey, Devesh Sharma
Summary: This study utilized TRMM satellite data and SWAT model to successfully simulate streamflow in the Mahi basin in India, with a strong correlation observed between calibration and validation results. The SWAT model showed good performance in predicting streamflow and sensitivity parameter analysis.
Article
Green & Sustainable Science & Technology
Kimsan Chann, Ty Sok, Romduol Khoeun, Vuthy Men, Supattra Visessri, Chantha Oeurng, Ratha Sor, Sarah E. Null
Summary: This study characterized drought events in the Sesan and Srepok Basins and found frequent, severe, and prolonged drought occurrences. The results can be used as a baseline for assessing potential future droughts and designing drought management plans.
Article
Meteorology & Atmospheric Sciences
Di Ma, Budong Qian, Haiting Gu, Zhilin Sun, Yue-Ping Xu
Summary: Assessing climate change impacts on streamflow and sediment processes is crucial for sustainable watershed management. A study on the upstream Mekong River Basin showed temperature and precipitation increases, along with projected streamflow and sediment load changes, but with inconsistent sediment load predictions. The use of multi-model ensembles is highlighted for climate change impact studies.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Engineering, Environmental
Chen Cao, Baowei Yan, Jing Guo, Huining Jiang, Zhengkun Li, Yu Liu
Summary: The study demonstrated that the SWAT hydrological model is suitable for the Yalong River basin, and the BMA method can capture historical streamflow more accurately than individual GCM projections, providing a scientific reference for future water resources planning and utilization in the region.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)