Results 81 to 90 of about 10,656,876 (202)
Riverbed erosion-deposition dynamics and driving mechanisms in Shenzhen Bay, 2002—2020
Understanding erosion-deposition dynamics in coastal bays is crucial for the sustainable development and management of urban estuaries. This study investigates the interannual erosion–deposition dynamics in Shenzhen Bay from 2002 to 2020.
Yuantai KANG +3 more
doaj +1 more source
Water pricing reform for sustainable water resources management in China’s agricultural sector
Cheng-Yao Zhang, T. Oki
semanticscholar +1 more source
Agro-pastoral ecotone is an important livestock production area in the north of China, and alfalfa is the main pasture crop in this area. Aiming to address the issues of groundwater overexploitation in the area with water demand, we assessed the ...
Xiangyang Miao +9 more
doaj +1 more source
Accurate runoff forecasting is of great significance for water resource allocation flood control and disaster reduction. However, due to the inherent strong randomness of runoff sequences, this task faces significant challenges. To address this challenge,
Wen-chuan Wang +6 more
doaj +1 more source
Using a combination of the long short-term memory model and hydrological change indicators, this study proposes an assessment framework at inter-annual and intra-annual scales to quantify the hydrological regime changes and ecological event responses ...
Hongxiang Wang +5 more
doaj +1 more source
The accurate prediction of daily runoff is crucial for effective water resource management, flood prevention, and disaster mitigation. However, current runoff prediction models face dual challenges in extracting discriminative features from random and ...
Dong-mei Xu +5 more
doaj +1 more source
This study proposes a hybrid model based on the combination of Sand Cat Swarm Optimization (SCSO), Echo State Network (ESN), Gated Recurrent Unit (GRU), Least Squares Method (LSM), and Markov Chain (MC) to improve the accuracy of annual runoff prediction.
Jun Wang +5 more
doaj +1 more source
The paper aims to enhance the accuracy and reliability of flood forecasting by integrating advanced deep learning techniques with hydrological principles.
Dong-mei Xu +4 more
doaj +1 more source
Fly ash is a construction material that can mitigate its environmental footprint. However, in coal-fired power plants, coarse ash often fails to meet Class I specifications due to heterogeneous coal compositions and suboptimal air classification systems.
Youbin Ding +3 more
doaj +1 more source

