A5076266142- Water resources management and optimization
- Hydrology and Watershed Management Studies
- Climate variability and models
- Metaheuristic Optimization Algorithms Research
- Hydrology and Drought Analysis
- Water-Energy-Food Nexus Studies
- Plant Water Relations and Carbon Dynamics
- Water Systems and Optimization
- Robotic Path Planning Algorithms
- Underwater Vehicles and Communication Systems
- Hydrological Forecasting Using AI
- Advanced Multi-Objective Optimization Algorithms
- Flood Risk Assessment and Management
Hebei University of Engineering
2017-2024
With the deepening discrepancy between water supply and demand caused by shortages, alleviating shortages optimizing resource allocation has received extensive attention. How to allocate resources optimally, rapidly, effectively become a challenging problem. Thus, this study employs meta-heuristic swarm-based algorithm, whale optimization algorithm (WOA). To overcome drawbacks like relatively low convergence precision rates, when applying WOA complex problems, logistic mapping is used...
Pan evaporation (Epan) is an important indicator of regional intensity and degree drought. However, although more expected under rising temperatures, the reverse trend has been observed in many parts world, known as “pan paradox”. In this paper, Haihe River Basin (HRB) divided into six sub-regions using Canopy k-means (The process for partitioning N-dimensional population k sets on basis a sample called “k-means”) to cluster 44 meteorological stations area. The interannual seasonal trends...
There is a mismatch between crop water demand, the spatial and temporal distribution of natural rainfall, surface sources, arable land resources in North China Plain. This has been compensated for by massive groundwater exploitation, as result, ground levels have continuously declined landing funnels formed some areas. Consequently, there an urgent need rational allocation soil resources. In this study, regional types corresponding crops Guangping County, Hebei Province, China, alongside...
Climate change is a global scientific problem, and its impact on the spatiotemporal variations of precipitation has been crucial research topic. Although previous studies have used different methods to evaluate characteristics Huaihe River Basin, time series were short few stations could not fully accurately represent characteristics. In this study, daily temperature data collected from 233 meteorological in Basin 1960–2020. The Mann–Kendall test was analyze trend significance interannual...
Droughts often have a substantial impact on normal socio-economic activities and agricultural production. The Haihe River Basin, one of the primary food production areas in China, has become increasingly sensitive to alternating droughts floods, sharp transitions between them, due rapid economic development population growth combined with climate change. In this study, we employ self-organizing map (SOM) neural network method perform cluster analysis 43 meteorological stations study area,...
In order to solve the water crisis, it is important optimize allocation of resources. this paper, Whale Optimization Algorithm (WOA) applied optimal resources in Xingtai with goal maximum economic benefit and minimum total shortage. The results show that demand different users each district 26.94×10 8 m 3 , allocated 19.83×10 shortage 7.11×10 rate was 26.39%. lack mainly concentrated primary industry. result solution reflects principle supply use equity, which line actual development...
Intensifying urbanization and climate change have highlighted the growing role of low-impact development (LID) practices in urban rainwater management systems. However, there is still room for improvement to optimally deploy LID practices, especially under different confluence relationships. In this study, 36 scenarios were designed based on rainfall conditions, relationships, locations, which analyzed using hybrid hydraulic water quality modeling. The following key results obtained: (1)...
The reasonable allocation of water resources using different optimization technologies has received extensive attention. However, not all algorithms are suitable for solving this problem because its complexity. In study, we applied an ameliorative multi-objective gray wolf optimizer (AMOGWO) to the problem. For AMOGWO, which is based on optimizer, improved distance control parameter calculation method, added crowding degree archive, and optimized selection mechanism leader wolves....