Results 81 to 90 of about 10,656,876 (202)

Riverbed erosion-deposition dynamics and driving mechanisms in Shenzhen Bay, 2002—2020

open access: yesShui kexue jinzhan
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

Study on Alfalfa Water Use Efficiency and Optimal Irrigation Strategy in Agro-Pastoral Ecotone, Northwestern China

open access: yesAgronomy
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

SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting

open access: yesScientific Reports
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

Assessing the effects of dam regulation on multiscale variations in river hydrological regime and ecological responses

open access: yesJournal of Water and Climate Change
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

Innovative daily runoff prediction model integrating black-winged kite algorithm and Mamba2–Transformer architecture

open access: yesEcological Informatics
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

A hybrid annual runoff prediction model using echo state network and gated recurrent unit based on sand cat swarm optimization with Markov chain error correction method

open access: yesJournal of Hydroinformatics
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

Revolutionizing flood forecasting by integrating rainfall-runoff correlation analysis with advanced deep learning techniques

open access: yesResults in Engineering
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

Using Fly Ash to Improve the Mechanical Properties of Concrete: The Staged Action of Fly Ash and Ultrafine Mineral Admixtures

open access: yesAdvances in Materials Science and Engineering
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

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