Results 51 to 60 of about 941,608 (152)

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

Ecological 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, Xiao-xue Hu, Wen-chuan Wang, Jun Wang, Can-can Shi, Hong-fei Zang   +5 more
doaj   +1 more source

Daily Evapotranspiration Estimation Using HJ-1 Data for Irrigation Water Management in a Desert-Oasis Irrigation District, Northwest China

MATEC Web of Conferences, 2018
Irrigation of agricultural land is the main water consumer in the arid and semiarid regions. The accurate time series of daily evapotranspiration (ET) at the field scale is crucial for irrigation water management.
Yi Zhenyan, Jiang Yunzhong, Zhao Hongli, Li Haichen, Wang Rong, Huang Pengcheng   +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

Journal 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, Wenchuan Wang, Xiao-xue Hu, Miao Gu, Yang-hao Hong, Hong-fei Zang   +5 more
doaj   +1 more source

Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition

Journal of Hydroinformatics
Accurate runoff prediction is vital in efficiently managing water resources. In this paper, a hybrid prediction model combining complete ensemble empirical mode decomposition with adaptive noise, variational mode decomposition, CABES, and long short-term
Dong-mei Xu, An-dong Liao, Wenchuan Wang, Wei-can Tian, Hong-fei Zang   +4 more
doaj   +1 more source

Water resources [PDF]

, 2019
  +4 more sources

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

Results 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, Zhan Xu, Wen-chuan Wang, Yan-wei Zhao, Hong-fei Zang   +4 more
doaj   +1 more source

Assessment of Soil Moisture in Vegetation Regions of Mu Us Sandy Land Using Several Aridity Indicators

Atmosphere
Drought, a significant calamity in the natural domain, has extensive worldwide repercussions. Drought, primarily characterized by reduced soil moisture (SM), presents a significant risk to both the world environment and human existence.
Jie Ren, Hexiang Zheng, Jun Wang, Changfu Tong, Delong Tian, Haiyuan Lu, Dong Liang   +6 more
doaj   +1 more source

DMCVS: Decomposed motion compensation‐based video stabilization

IET Image Processing
With the popularity of handheld devices, video stabilization is becoming increasingly important. In previous studies, many methods have been proposed to stabilize shaky videos.
Qian Huang, Jiwen Liu, Chuanxu Jiang, Yiming Wang   +3 more
doaj   +1 more source

Habitat Associations and Behavior of Adult and Juvenile Splittail (Cyprinidae: Pogonichthys macrolepidotus) in a Managed Seasonal Floodplain Wetland

San Francisco Estuary and Watershed Science, 2008
Although there is substantial information about the benefits of managed seasonal wetlands to wildlife, little is known about whether this habitat can help support “at risk” native fishes. The Sacramento splittail Pogonichthys macrolepidotus, a California
Ted R. Sommer, William C. Harrell, Zoltan Matica, Frederick Feyrer   +3 more
doaj  

Comprehensive performance assessment of state-of-the-art metaheuristic algorithms for multi-scenario reservoir flood control optimization

Results in Engineering
Flooding is one of the most destructive natural disasters in the world, posing a serious threat to socio-economic and livelihood security. With the intensification of climate change, the frequent occurrence of extreme flood events not only highlights the
Wen-chuan Wang, Wei-can Tian, Hongfei Zang, Xu-tong Zhang   +3 more
doaj   +1 more source