Results 51 to 60 of about 10,656,876 (202)

A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists [PDF]

Water Resources Research, 2017
Deep learning (DL), a new generation of artificial neural network research, has transformed industries, daily lives, and various scientific disciplines in recent years. DL represents significant progress in the ability of neural networks to automatically
Chaopeng Shen
semanticscholar   +1 more source

Predicting salinity levels in the Mekong delta (Viet Nam): analysis of machine learning and deep learning models

Discover Artificial Intelligence
Salinity intrusion stands out as a severe yet escalating challenge facing the water resource management and agricultural production of the Mekong Delta in Vietnam as a result of climate change and upstream hydrological changes.
Phong Nguyen Duc, Thang Tang Duc, Giap Pham Van, Hoat Nguyen Van, Tuan Tran Minh   +4 more
doaj   +1 more source

A deep learning runoff prediction model based on wavelet decomposition and dynamic feature fusion

Scientific Reports
To address the stochasticity, time-varying characteristics, and nonlinear dynamics of runoff series, this research proposes a novel deep learning architecture, BWDformer, based on wavelet decomposition and dynamic feature fusion, to enhance the precision
Dong-mei Xu, Qi-qi Zeng, Wen-chuan Wang, Xu-tong Zhang, Yi-yang Wang, Hong-fei Zang   +5 more
doaj   +1 more source

Study on reservoir optimal operation based on coupled adaptive ε constraint and multi strategy improved Pelican algorithm

Scientific Reports, 2023
The optimal operation of reservoir groups is a strongly constrained, multi-stage, and high-dimensional optimization problem. In response to this issue, this article couples the standard Pelican optimization algorithm with adaptive ε constraint methods ...
Ji He, Xiaoqi Guo, Songlin Wang, Haitao Chen, Fu-Xin Chai   +4 more
doaj   +1 more source

Potential health risk and levels of heavy metals in water resources of lead–zinc mining communities of Abakaliki, southeast Nigeria

Applied Water Science, 2020
Heavy metals are potential health risk, especially in mining sites where they deteriorate from sulfide-rich ore bodies. Lead, cadmium, arsenic and mercury are very carcinogenic, while others are toxic.
P. Obasi, B. Akudinobi
semanticscholar   +1 more source

Gainers and losers of surface and terrestrial water resources in China during 1989–2016

Nature Communications, 2020
Data and knowledge of the spatial-temporal dynamics of surface water area (SWA) and terrestrial water storage (TWS) in China are critical for sustainable management of water resources but remain very limited.
Xinxin Wang, Xiangming Xiao, Z. Zou, Jinwei Dong, Yuanwei Qin, R. Doughty, M. Menarguez, Bangqian Chen, Jun-bang Wang, H. Ye, Jun Ma, Qiao-Yan Zhong, Bin Zhao, Bo Li   +13 more
semanticscholar   +1 more source

Spatiotemporal Variation in Understory Litter Coverage Based on Multi-Angle Remote Sensing Inversion Using Sentinel-2 and MODIS BRDF Imagery

Remote Sensing
The forest understory litter fraction (FVCy) is a critical indicator for evaluating the effectiveness of “understory erosion” control in red soil regions; however, its high-precision, large-scale monitoring remains challenging due to canopy occlusion ...
Zhujun Gu, Jiasheng Wu, Qinghua Fu, Xiaofeng Yue, Guanghui Liao, Yanzi He, Xianzhi Mai, Jia Liu, Qiuyin He, Quanman Lin   +9 more
doaj   +1 more source

Integrated Water Resources Management Approaches to Improve Water Resources Governance

Water, 2020
The water crisis can alternatively be called a governance crisis. Thus, the demand for good water governance to ensure effective water resources management and to attain specific water goals is growing.
J. Katusiime, B. Schütt
semanticscholar   +1 more source

Time lag effect of precipitation on groundwater level based on wavelet analysis in the People’s Victory Canal irrigation area, China

Scientific Reports
The People’s Victory Canal irrigation area is an important agricultural irrigation region in the North China Plain, where groundwater resources play a crucial role in both agricultural production and the ecological environment.
Zhongpei Liu, Xiaoqing Li, Zhipeng Hu, Runxiang Cao, Yuping Han, Lin Wu   +5 more
doaj   +1 more source

Hybrid framework for robust runoff forecasting via decomposition and machine learning

Scientific Reports
Accurate runoff forecasting is essential for flood control and water resource management, yet strong nonlinearity and seasonal non-stationarity often limit traditional models. This study proposes a hybrid decomposition-integration-optimization framework (
Wen-chuan Wang, Xu-tong Zhang, Qi-qi Zeng, Hong-zhen Ren, Dong-mei Xu, Qiang Ma   +5 more
doaj   +1 more source