Results 31 to 40 of about 941,608 (152)

Risk Assessment of Yellow Muddy Water in High-Construction-Intensity Cities Based on the GIS Analytic Hierarchy Process Method: A Case Study of Guangzhou City

Land
During urbanisation, extensive production and construction activities encroach on ecological spaces, leading to changes in environmental structures and soil erosion.
Xichun Jia, Xuebing Jiang, Jun Huang, Le Li, Bingjun Liu, Shunchao Yu   +5 more
doaj   +1 more source

An efficient parallel runoff forecasting model for capturing global and local feature information

Scientific Reports
Artificial intelligence has significantly accelerated the development of hydrological forecasting. However, research on how to efficiently identify the physical characteristics of runoff sequences and develop forecasting models that simultaneously ...
Yang-hao Hong, Dong-mei Xu, Wen-chuan Wang, Hong-fei Zang, Xiao-xue Hu, Yan-wei Zhao   +5 more
doaj   +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

The declining cyanobacterial blooms in Lake Taihu (China) in 2021: The interplay of nutrients and meteorological determinants

Ecological Indicators, 2022
The cyanobacterial blooms are global environmental perils and have been extensively compounded and changeable in Lake Taihu with emerging significantly higher intensities during 2016–2019 than those in 2010–2015.
Wu Donghao, Chen Fangfei, Hu Jiaxin, Ji Guanning, Shi YaDong, Shen Aichun   +5 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

Evaluating the Patterns of Maize Development in the Hetao Irrigation Region Using the Sentinel-1 GRD SAR Bipolar Descriptor

Sensors
Assessing maize yield is critical, as it is directly influenced by the crop’s growth conditions. Therefore, real-time monitoring of maize growth is necessary. Regular monitoring of maize growth indicators is essential for optimizing irrigation management
Hexiang Zheng, Hongfei Hou, Delong Tian, Changfu Tong, Ziyuan Qin   +4 more
doaj   +1 more source

A Coupled Model for Forecasting Spatiotemporal Variability of Regional Drought in the Mu Us Sandy Land Using a Meta-Heuristic Algorithm

Land
Vegetation plays a vital role in terrestrial ecosystems, and droughts driven by rising temperatures pose significant threats to vegetation health.
Changfu Tong, Hongfei Hou, Hexiang Zheng, Ying Wang, Jin Liu   +4 more
doaj   +1 more source

Irrigation water pricing based on the ELES-WPTI model in the Yinda-Jihuang project of China

Water Policy, 2023
Water pricing is the key to maximizing the economic and social benefits of the water transfer project. In this study, we propose the extended linear expenditure system-water price tolerance index (ELES-WPTI) model that combines the ELES model and the ...
He Chen, Ting Wang, Guohua Fang, Huaxiang He, Xinmin Xie, Mingwan Yin, Ping Xiao   +6 more
doaj   +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

Research on Water and Fertilizer Use Strategies for Silage Corn Under Different Irrigation Methods to Mitigate Abiotic Stress

Plants
To reconcile the intensifying trade-off between chronic water scarcity and escalating forage demand in the Yellow River Basin, this study optimized integrated irrigation and fertilization regimes for silage maize. Leveraging the AquaCrop model, validated
Delong Tian, Yuchao Chen, Bing Xu, Guoshuai Wang, Lingyun Xu   +4 more
doaj   +1 more source