Article
Environmental Sciences
Yu Zhu, Shiyin Liu, Ying Yi, Fuming Xie, Richard Grunwald, Wenfei Miao, Kunpeng Wu, Miaomiao Qi, Yongpeng Gao, Dharmaveer Singh
Summary: Water resources in the highly populated Indus River Basin are facing severe stress due to increased consumption across different sectors and climate change, affecting groundwater recharging and availability. The study reveals significant decreases in Terrestrial Water Storage Anomaly (TWSA) over the past two decades, predominantly caused by ineffective water management and over-exploitation leading to groundwater loss.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Mohd Sayeed Ul Hasan, Mufti Mohammad Saif, Nehal Ahmad, Abhishek Kumar Rai, Mohammad Amir Khan, Ali Aldrees, Wahaj Ahmad Khan, Mustafa K. A. Mohammed, Zaher Mundher Yaseen
Summary: This study evaluates the climatological conditions of terrestrial water storage anomalies (TWSAs) in India, one of the most populous countries in the world. The analysis of RL06 mascon data from the GRACE and GRACE-FO satellite missions reveals seasonal and interannual changes in terrestrial water storage. Statistical tests are conducted to determine the homogeneity of the data, and trends and magnitudes are analyzed using various methods. The findings suggest significant declining trends in certain regions, with implications for water resource management and long-term planning in India.
Article
Geochemistry & Geophysics
Shengjun Gao, Weifeng Hao, Yi Fan, Fei Li, Jing Wang
Summary: By analyzing data observed by GRACE satellites, this study quantified the uncertainty of terrestrial water storage changes and found the solutions with the lowest uncertainty and highest signal-to-noise ratio. The fusion solution significantly improved the uncertainty and signal-to-noise ratio at the basin scale, particularly in regions with drastic mass changes.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Article
Engineering, Civil
Shanshan Deng, Suxia Liu, Xingguo Mo
Summary: Different perspectives on defining drought complicate drought studies. This study assessed and attributed droughts in China from 2002 to 2020 using an integrated drought index based on observed terrestrial water storage data. The findings show increasing severity and intensity of droughts, particularly in the northern regions, with climate change and anthropogenic impacts playing dominant roles in driving intensified droughts.
JOURNAL OF HYDROLOGY
(2021)
Article
Geochemistry & Geophysics
G. Carlson, S. Werth, M. Shirzaei
Summary: This study presents a method of joint inversion of GNSS and GRACE data to more accurately estimate terrestrial water storage changes. By decomposing signals at different time scales and inverting separately, it can better capture trends, annual, interannual, and multi-year changes in TWS that were previously challenging to capture.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Environmental Sciences
Farzam Fatolazadeh, Kalifa Goita
Summary: This study focused on estimating and analyzing terrestrial water storage changes across the Canadian landscape using GRACE and GRACE-FO data. The research found strong seasonal patterns in TWS changes, with a positive overall trend. Comparison with other methods revealed that this approach had the best correlations and lower root mean square errors.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Tingting Ning, Qi Feng, Zhi Li, Zongxing Li, Haiyang Xi, Linshan Yang, Xiaoge Chang
Summary: Based on the study of 76 water tower units worldwide, it was found that the variability in annual water yield is primarily influenced by the variance in precipitation and its interaction with water storage change, contributing 60% and 22% respectively. Among the three components of water storage change, the variance in groundwater change has the largest effect on water yield variability (7%).
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Water Resources
Qiming Zhou, Junyi Huang, Zengyun Hu, Gang Yin
Summary: This study investigates the changes in terrestrial water storage (TWS) in Xinjiang, China, in response to climate change. The results show an overall decreasing trend in TWS, with regional disparities in the change rates.
HYDROLOGICAL SCIENCES JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Jing Lu, Li Jia, Jie Zhou, Min Jiang, Yulong Zhong, Massimo Menenti
Summary: A new index called the Drought-Induced Water Storage Deficit Index (D-WSDI) is proposed to measure the relationship between GRACE-based water storage change and meteorological drought. The evaluation of the index shows that most global drought events result in water storage deficits, and the severity of the deficits increases with the duration of the drought.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Chandan Banerjee, Ashish Sharma, Nagesh D. Kumar
Summary: Rising global temperatures have led to reductions in water recharge in 23 out of 31 major river basins, with 12 basins showing significant decreases. This is likely due to increased evapotranspiration and reduced snow accumulation caused by temperature increase. Reductions in water recharge are expected to impact vegetation growth in these basins.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Ye Lyu, Yue Huang, Anming Bao, Ruisen Zhong, Han Yang
Summary: This study focused on the Amu Darya river basin, Syr Darya river basin, and Balkhash lake basin in Central Asia, analyzing the changes in terrestrial water storage (TWS) and groundwater storage (GWS) from 2002 to 2016. The results showed a decreasing trend in TWS and GWS in the three basins, with human activities and climate change playing a joint impact on the water resource changes.
Article
Engineering, Civil
Haijun Deng, Yaning Chen, Xingwei Chen
Summary: This study used GRACE and GLDAS data to analyze the changes in terrestrial water storage (TWS) in the Tibetan Plateau, and found that the decrease in precipitation and increase in potential evapotranspiration were the main drivers of TWS reduction.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Xinchun Yang, Siyuan Tian, Wei You, Zhongshan Jiang
Summary: The study proposed a method to reconstruct the TWSA time series by combining trends from different datasets, successfully bridging the temporal gap between the GRACE and GRACE-FO missions, and showing high consistency with the original data.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Jinghua Xiong, Jiabo Yin, Shenglian Guo, Louise Slater
Summary: GRACE and GRACE-Follow on satellites have provided detailed TWSA data in mainland China since 2002. Machine learning models can effectively predict changes in TWSA. The study reveals that TWSA shows different spatiotemporal trends across China.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Xuewen Yang, Ninglian Wang, An'an Chen, Zhijie Li, Qian Liang, Yujie Zhang
Summary: This study investigates the variations in terrestrial water storage (TWS) in the Qaidam Basin from 2002 to 2020, considering the impacts of climate change, glacier mass loss, and human activities. The results show that TWS anomalies (TWSA) derived from GRACE data experienced significant increasing trends, with soil moisture contributing the most to the variations in TWS. The study highlights the dominance of precipitation in temporal variations in TWS and the significant impact of glacier meltwater on spatial variations in TWS.
Article
Environmental Sciences
Yanlai Zhou, Di Zhu, Hua Chen, Shenglian Guo, Chong-Yu Xu, Fi-John Chang
Summary: Energy efficiency is crucial for reducing greenhouse gas emissions. Accurate and reliable load forecasting plays a key role in power system scheduling and overload prevention. This study proposes a deep learning-based model that improves the accuracy and reliability of load forecasting.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Lei Yan, Liying Zhang, Lihua Xiong, Pengtao Yan, Cong Jiang, Wentao Xu, Bin Xiong, Kunxia Yu, Qiumei Ma, Chong-Yu Xu
Summary: The fundamental assumption of flood frequency analysis is that flood samples are generated by the same flood generation mechanism (FGM). However, flood events are usually triggered by the interaction of meteorological factors and watershed properties, which results in different FMGs. To solve this problem, researchers have proposed the TCMD-RF model, which uses the rainfall-flood ratio method to classify distinct FGMs and determine the weighting coefficients of each component distribution in advance. The TCMD-RF model shows superior performance compared to TCMD-T model, reducing the uncertainties of design flood by 20%.
Article
Engineering, Civil
Peng Sun, Ruilin Liu, Rui Yao, Hao Shen, Yaojin Bian
Summary: Meteorological drought is strongly linked to agricultural drought and can be used as an early warning to enhance mitigation of agricultural drought. However, the response of agricultural drought to meteorological drought is not well understood. The study analyzed the evolution characteristics of meteorological drought and agricultural drought using standardized indices and calculated the drought response time and patterns in different climatic zones and underlying surface conditions in China. The findings show a high frequency of meteorological drought and agricultural drought in southeastern China and the Tibetan Plateau, with increasing trends in agricultural drought in southeastern China and meteorological drought in central and southern China. The highest probability of compound droughts was found in northern China and the regions with a semi-humid warm temperate climate. The sensitivity of agricultural drought response is higher in southeastern China and eastern parts of the Tibetan Plateau, with shorter response times. The response time is shorter in summer and autumn, and longer in winter and spring. Moreover, the response time is longer and more spatially variable in rainfed agricultural areas compared to irrigated areas. Double- and triple-crop irrigated areas have significantly shorter response times than single-crop irrigated areas, and higher crop intensity leads to shorter response times.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Rui Kong, Zengxin Zhang, Ying Zhang, Yiming Wang, Zhenhua Peng, Xi Chen, Chong-Yu Xu
Summary: This study used the Geodetector model and hydro-meteorological data to investigate the changes in terrestrial water storage anomaly (TWSA) and the impacts of climate change and vegetation greening in China from 1982 to 2019. The results showed that TWSA declined in two thirds of the country, particularly in North China, southeast Tibet, and northwest Xinjiang, while it increased in the remaining third, mainly in the Qaidam Basin, the Yangtze River, and the Songhua River. The normalized vegetation index (NDVI) had a positive correlation with TWSA, accounting for 48.64% of the total vegetation area in China.
Article
Environmental Sciences
Nie Zhou, Sheng Sheng, Li-Ying He, Bing-Ru Tian, Hua Chen, Chong-Yu Xu
Summary: Understanding the evolution of river morphology is crucial for comprehending changes in water resources and implementing development projects along rivers. This study proposes an integrated approach utilizing remote sensing image data combined with deep learning and visual interpretation algorithms to analyze continuous-type changes in river morphology. The research focuses on the lower reaches of the Minjiang River in China and comprehensively analyzes the river's morphological evolution from 1986 to 2021. The findings of this study can provide insights into the management and conservation of water resources.
Article
Environmental Sciences
Sheng Sheng, Hua Chen, Kangling Lin, Nie Zhou, Bingru Tian, Chong-Yu Xu
Summary: To improve the accuracy and reliability of precipitation estimation, this paper proposes an integrated framework that combines Funk-Singular Value Decomposition (F-SVD) and Convolutional Long Short-Term Memory (ConvLSTM) models to capture spatiotemporal correlation patterns between satellite products and rain gauge observations. The framework achieves accurate spatial distribution and merges precipitation data from multiple sources, resulting in more accurate precipitation distribution and better stability and reliability compared to other models.
Article
Green & Sustainable Science & Technology
Li Wang, Fan Zhang, Guanxing Wang, Chen Zeng, Yao Chen, Xiaonan Shi, Handuo Tang, Guangju Zhao, Chongyu Xu, Xin Li
Summary: Soil erosion is a global environmental threat, especially in high-mountain areas affected by climate and vegetation changes. This study improved the RUSLE by developing a method to calculate snowmelt runoff erosivity and estimated the soil erosion rate in the upper Heihe River Basin. The results showed that vegetation cover played a dominant role in reducing soil erosion.
Article
Agronomy
Zhen Ling, Zhengtao Shi, Tiyuan Xia, Shixiang Gu, Jiaping Liang, Chong-Yu Xu
Summary: A short-term crop evapotranspiration (ETc) forecasting method was proposed for rubber plantations using the rubber crop coefficient K-c and public weather forecasts. The results showed that the method had good performance and acceptable accuracy, especially in the dry season, providing an important basis for improving water management in high water consumption rubber plantations at a regional scale.
Article
Environmental Studies
Zice Ma, Rui Yao, Peng Sun, Zhen Zhuang, Chenhao Ge, Yifan Zou, Yinfeng Lv
Summary: This study develops a new integrated precipitation product using multisource precipitation data across the Yellow River basin, and evaluates its feasibility. The optimized Bayesian integrated precipitation product (OBIPP) shows a 14.08% improvement in overall performance compared to other precipitation products. Using OBIPP to drive a hydrological model significantly improves the accuracy of runoff simulation. The study also provides statistical analysis of precipitation and runoff depth in the Yellow River source regions from 2001 to 2019, showing an increasing spatial trend from northwest to southeast.
Article
Environmental Sciences
Shuping Du, Shanhu Jiang, Liliang Ren, Shanshui Yuan, Xiaoli Yang, Yi Liu, Xinglong Gong, Chong -Yu Xu
Summary: This study explores the behavior of runoff response changes (RRC) in 1003 catchments in the contiguous United States (CONUS) using catchment classification and machine learning. The study identifies influential factors on RRC and discovers patterns related to climate and catchment characteristics. The findings provide important insights for water resource management decisions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Lei Yan, Dongyang Lu, Lihua Xiong, Hongfeng Wang, Qinghua Luan, Cong Jiang, Bin Xiong, Wentao Xu, Pengtao Yan, Qingwen Lei, Chong -Yu Xu
Summary: The traditional assumptions about urban infrastructure relying on fixed rainfall curves are being challenged by climate change and urbanization. This study develops nonstationary models to update rainfall curves by considering local and global factors. The findings reveal different trends in extreme rainfall for different durations and highlight the importance of considering both local and global processes in understanding the variation of extreme rainfall.
Article
Water Resources
Xuchun Ye, Juan Wu, Xianghu Li, Yunliang Li, Qi Zhang, Chong -Yu Xu
Summary: This study systematically analyzed the spatiotemporal heterogeneity of inundation dynamics in Poyang Lake, the largest freshwater lake in China, and found that different regions of the lake can have asynchronous intra-annual fluctuation and opposite inter-annual change trend in terms of inundated area and inundation frequency. The study also highlights the importance of reconstructed high spatial-temporal resolution of remote sensing data for the accurate assessment of inundation dynamics in floodplain lakes.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Environmental Sciences
Menghao Wang, Lucas Menzel, Shanhu Jiang, Liliang Ren, Chong-Yu Xu, Hao Cui
Summary: Flash droughts are extreme droughts that rapidly intensify and are influenced by heat waves. This study used a hydrological model to simulate soil moisture and evapotranspiration and found that flash droughts under the influence of heat waves are generally shorter in duration but faster in occurrence. The findings have important implications for flash drought assessment, monitoring, and mitigation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Haiyan Chen, Ye Tuo, Chong-Yu Xu, Markus Disse
Summary: Compound wet and dry extremes (CWDEs) have significant impacts on ecological and societal well-being. A study in Germany reveals that CWDEs have pronounced seasonal effects and spatial clustering patterns, with summer being the most vulnerable period. The study also finds that compounding events in dry regions are mainly driven by wet extremes, while in wet regions, they show a higher dependency on dry anomalies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Rui Kong, Zengxin Zhang, Zejiang Yu, Richao Huang, Ying Zhang, Xi Chen, Chong-Yu Xu
Summary: This study used the LPJ model to investigate the potential effects of climate change and soil moisture on water use efficiency (WUE) in China. The results showed that WUE had increased in the past 40 years, especially in the grassland areas of Northwest China. Future climate change is projected to further increase WUE and exacerbate soil moisture dryness, highlighting the need for careful water resource management in arid and semi-arid regions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)