Water resource management

Environmental sustainability

China's Urban Agglomerations Face Water Stress Despite Domestic Trade Efforts

China's rapid urbanization and industrialization have led to a significant spatial mismatch between water availability and demand, making urban agglomerations particularly vulnerable to water stress. Despite efforts to alleviate regional water scarcity through domestic trade, the impact of this approach remains understudied, especially across interconnected urban agglomerations. Researchers

Technical institutes

Breakthrough in Drought Prediction: Yildiz Technical University Researchers Develop Advanced Model

Researchers from Yildiz Technical University have made significant progress in predicting droughts, developing an Adaptive Neuro-Pythagorean Hesitant Fuzzy Inference System optimized by Particle Swarm Optimization (ANPHFIS-PSO) method for short-term meteorological drought prediction. The model aims to provide high accuracy in Standardized Precipitation Index (SPI)-1 predictions by effectively handling nonlinear

Environmental sustainability

Sustainability Research Reveals Insights into Water Resource Utilization in China's South-North Water Diversion Project

Researchers at the University of Melbourne have made significant contributions to the understanding of water resource utilization in China's South-North Water Diversion Project. The study, published in Discover Sustainability, decomposed the index of water consumption in water-receiving areas into five categories, including water intensity, industrial structure, industrialization income,

Technical institutes

Breakthrough in Drought Prediction: Yildiz Technical University Researchers Develop Advanced Model

Researchers from Yildiz Technical University have made significant progress in predicting droughts, developing an Adaptive Neuro-Pythagorean Hesitant Fuzzy Inference System optimized by Particle Swarm Optimization (ANPHFIS-PSO) method for short-term meteorological drought prediction. The model aims to provide high accuracy in Standardized Precipitation Index (SPI)-1 predictions by effectively handling the