Article
Meteorology & Atmospheric Sciences
Xiaoli Chen, Wenjie Chen, Guoru Huang
Summary: This study projected future extreme rainfall-runoff events in the Upper Beijiang River Basin of South China using a regional climate model, and found that future extreme precipitation events will be more intense. The future monthly runoff is expected to increase, with almost all extreme runoff indices showing an increase.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Environmental Sciences
Haoyu Ji, Dingzhi Peng, Yu Gu, Xiaoyu Luo, Bo Pang, Zhongfan Zhu
Summary: This study established a hydrological model in the Yarlung Zangbo River Basin to evaluate the impacts of climate change on water resources and future water supply. The results showed that despite the decrease in glacier meltwater and snow runoff, the increase in precipitation is expected to result in an overall increase in runoff in the basin. It is projected that water resources in the Yarlung Zangbo River Basin will increase in the coming decades.
Article
Engineering, Civil
Sonam Sandeep Dash, Bhabagrahi Sahoo, Narendra Singh Raghuwanshi
Summary: This study evaluates the usability of different indirect ET estimation methods for catchment-scale drought and irrigation planning, revealing discrepancies in the estimation results. It shows that the VIC-3L model may significantly overestimate ET, while the MOD16A2 product provides relatively more accurate estimates.
JOURNAL OF HYDROLOGY
(2021)
Article
Water Resources
Shuo Wang, Hui Peng, Qin Hu, Meng Jiang
Summary: The study focused on identifying the driving factors of temporal and spatial variation in runoff in Xiaoqing River Basin, Shandong Province, China. The traditional machine learning model lacks transparency and interpretability, which hinders the widespread application of machine learning in hydrology. An interpretable machine learning method using extreme gradient boosting (XGBoost) and Shapely additive explanations (SHAP) was applied to analyze the impact of driving factors on runoff generation. The study found that climatic features and land use combination (or slope) have significant effects on runoff generation, with rainfall at high elevations (or slope) having a stronger impact than that at low elevations. The study provides new insights and a method for factor analysis of runoff.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Environmental Sciences
Tao Jin, Xiao Zhang, Jiancang Xie, Jichao Liang, Tingting Wang
Summary: Land use change has a significant impact on the runoff characteristics of the basin, with different land use types showing varying hydrological responses. However, the impact on annual runoff is minimal. Returning farmland to woodlands and grasslands promotes groundwater recharge and plays a positive role in ecological restoration in the basin. These findings are of great importance for understanding the hydrological consequences of land use change and for the rational planning of land use patterns in river basins.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Hyunwoo Kang, Venkataramana Sridhar, Syed A. Ali
Summary: Based on hydrologic models and climate change scenarios, this study examines the future impacts of climate change on conventional and flash drought conditions in the Mekong River Basin. The results show that different models yield different evaluations of drought indices due to variations in the partitioning of water budgets.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Civil
Shouzhi Chen, Yongshuo H. Fu, Zhaofei Wu, Fanghua Hao, Zengchao Hao, Yahui Guo, Xiaojun Geng, Xiaoyan Li, Xuan Zhang, Jing Tang, Vijay P. Singh, Xuesong Zhang
Summary: The Soil and Water Assessment Tool (SWAT) model is widely used for simulating the water cycle and quantifying the impacts of climate change and human activities on hydrological processes. However, its representation of vegetation dynamics has been a major source of uncertainty. This study improves the SWAT model by incorporating dynamic growth start dates and heat requirements for vegetation growth based on long-term remote sensing data. The improved model shows significant improvements in simulating leaf area index (LAI) and evapotranspiration, indicating the importance of accurately representing phenological dates in vegetation growth modules.
JOURNAL OF HYDROLOGY
(2023)
Article
Green & Sustainable Science & Technology
Sanjeet Kumar, Ashok Mishra, Umesh Kumar Singh
Summary: Land use/land cover and climate variability have significant impacts on the hydrological functionality of catchments and are major threats to hydrological processes. This study used a physically distributed Soil and Water Assessment Tool model to investigate the historical changes in the hydrologic response of the Damodar catchment in India. The results showed that the land cover in the catchment changed considerably from 1972 to 2001, with increases in settlements, waterbodies, and agricultural land, and decreases in wasteland and forest. The study also found that the region became drier with decreases in rainfall and increases in temperature. The model simulation revealed a gradual increase in inflow to the Panchet reservoir under land cover dynamics and climate variability.
Article
Water Resources
Xinyue Li, Yuntao Wang, Baolin Xue, A. Yinglan, Xiaojing Zhang, Guoqiang Wang
Summary: Climate change and human activities are two major factors influencing hydrological processes. In the Hunhe basin in northern China with a semi-arid climate, human activities were found to be the main factor contributing to a decrease in runoff, accounting for over 86.3% of the reduction. Climate change increased winter runoff but decreased summer and autumn runoff, leading to an overall decrease in runoff. There is an increasing severity of hydrological drought in the basin, with climate change accounting for 28.2% of the total impact and human activities accounting for 72.8%.
HYDROLOGICAL PROCESSES
(2023)
Article
Environmental Sciences
Robyn Horan, R. Gowri, Pawan S. Wable, Helen Baron, Virginie D. J. Keller, Kaushal K. Garg, Pradeep P. Mujumdar, Helen Houghton-Carr, Gwyn Rees
Summary: This study compared the predictive capability of three hydrological models and their mean ensemble in a heavily influenced catchment in Peninsular India. The results showed that the mean ensemble had better predictive ability in catchments with reservoirs, indicating that utilizing multiple models could help overcome uncertainties in input data and poor reservoir operation functionality within individual models.
Article
Multidisciplinary Sciences
Hongjing Wu, Bing Chen, Xudong Ye, Huaicheng Guo, Xianyong Meng, Baiyu Zhang
Summary: A multi-criteria sequential calibration and uncertainty analysis (MS-CUA) method is proposed to enhance the efficiency and performance of hydrological modeling. Compared with traditional methods, the MS-CUA method showed better-calibrated results and more balanced uncertainty analysis in two case studies.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Civil
Dipesh Nepal, Prem B. Parajuli, Ying Ouyang, S. D. Filip To, Nuwan Wijewardane
Summary: This study examines the hydrology and water quality modeling in a watershed with the introduction of multi-year land use and land cover (LULC) input. The results show that the dynamic LULC input improves the performance of the model compared to the static LULC input, allowing for a more accurate analysis of the effects of historical LULC change. Additionally, agricultural management operations enable a more realistic simulation of runoff, sediments, total nitrogen, and total phosphorus.
JOURNAL OF HYDROLOGY
(2023)
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
Engineering, Civil
Zirui Wang, Yanhu He, Wei Li, Xiaohong Chen, Pan Yang, Xiaoyan Bai
Summary: Accurate estimation of reservoir outflow is crucial for simulating runoff of watersheds regulated by large reservoirs. In this study, a new reservoir module based on a generalized reservoir operation chart is developed as an alternative to the original module in SWAT. The proposed module shows better performance in simulating the outflow and water level of large reservoirs, especially for stations directly influenced by the reservoirs. The comparison between the new module and the original module demonstrates that the new module produces results closer to the measured data with fewer errors.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Yimin Tian, Yanqing Yang, Zhenxin Bao, Xiaomeng Song, Guoqing Wang, Cuishan Liu, Houfa Wu, Yuchen Mo
Summary: The long-term overexploitation of groundwater has led to significant changes in the runoff process of the hydrological cycle in the North China Plain. Evaluating the impact of groundwater overdraft on runoff generation is the focus of this study. A hydrological modeling framework based on the VIC model was proposed, and its parameters were calibrated using a combination of runoff, evaporation, and water storage. The VIC model showed good applicability and the calibrated optimal parameter revealed a close relationship with groundwater table and water storage levels.
Article
Engineering, Civil
Vimal Mishra
JOURNAL OF HYDROLOGY
(2020)
Article
Meteorology & Atmospheric Sciences
Akarsh Asoka, Vimal Mishra
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2020)
Article
Meteorology & Atmospheric Sciences
Akarsh Asoka, Vimal Mishra
Summary: Groundwater depletion in India is mainly attributed to irrigation pumping. The study reveals a negative correlation between crop growth and groundwater storage on annual and seasonal scales in north India. Precipitation shows varied associations with groundwater storage in different regions, while groundwater plays a significant role in crop growth during both Kharif and Rabi seasons.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Environmental Sciences
Shalinee Bharat, Vimal Mishra
Summary: Understanding water availability sensitivity in the Indian sub-continent is crucial for food and water security. North river basins experienced decreased precipitation while south basins saw increased precipitation. There is uncertainty in estimating water budget and runoff sensitivity using different models, highlighting the importance of considering multiple models for accurate estimation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Saran Aadhar, Vimal Mishra
Summary: The study found that the worst soil moisture drought in South Asia occurred in 2002, affecting more than 65% of the land and leading to a decline in rice yield. Climate projections show that the frequency of the worst droughts is expected to increase by 1.5 times in the future, with droughts likely to be more intense and widespread.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Rohini Kumar, Vimal Mishra
Article
Meteorology & Atmospheric Sciences
Deep Shah, Vimal Mishra
Summary: The rapid depletion of groundwater in India due to human activity has significant implications on flood potential, as observed and simulated data show declines or increases in terrestrial water storage in various river basins in the Indian subcontinent from 2002 to 2016. Changes in groundwater storage have a greater impact on flood potential than precipitation in most subcontinental river basins.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Meteorology & Atmospheric Sciences
Vimal Mishra, Saran Aadhar, Shanti Shwarup Mahto
Summary: Flash droughts lead to rapid soil moisture depletion, causing significant impacts on crop health and irrigation demands. Research shows that flash droughts in India mainly occur during the summer monsoon season, driven by intraseasonal variability of monsoon rainfall. In the future, the risk of flash droughts is expected to increase due to climate change and anthropogenic warming.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2021)
Editorial Material
Engineering, Civil
Vimal Mishra, Saran Aadhar
JOURNAL OF HYDROLOGIC ENGINEERING
(2021)
Article
Ecology
Arpit Shah, Amit Garg, Vimal Mishra
Summary: The study quantified the cooling effects provided by urban green spaces beyond their boundaries in Bengaluru, India, finding that on average, green spaces reduced temperatures by 2.23 degrees Celsius. The cooling effects were influenced by the greenness, size, and shape of the green spaces.
LANDSCAPE AND URBAN PLANNING
(2021)
Article
Environmental Sciences
Deep Shah, Harsh L. Shah, Hari Manish Dave, Vimal Mishra
Summary: The study found that human activities have different effects on agricultural and hydrological droughts in India. While human activities reduced the intensity of agricultural droughts, they intensified hydrological droughts. Excessive groundwater pumping and irrigation may exacerbate hydrological droughts, leading to significant environmental implications.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Riddhi Singh, Vimal Mishra, Balaji Narasimhan, Subimal Ghosh, Anupma Sharma, Subhasisha Dutta, P. P. Mujumdar
PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY
(2020)
Article
Meteorology & Atmospheric Sciences
Kunal Bhardwaj, Deep Shah, Saran Aadhar, Vimal Mishra
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2020)
Article
Environmental Sciences
Robin A. Richardson, Sam Harper, Scott Weichenthal, Arijit Nandi, Vimal Mishra, Prabhat Jha
ENVIRONMENTAL RESEARCH
(2020)
Article
Meteorology & Atmospheric Sciences
Vimal Mishra, Kaustubh Thirumalai, Deepti Singh, Saran Aadhar
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2020)