Water Resources

This study explores the complex relationship between water resources, economic development, and the ecological environment amid climate change and human activity. Using DEMATEL, ISM, and MICMAC models, it identifies key influencing factors and their interactions. Fundamental factors include total water resources, precipitation, and NDVI, while core elements involve water supply and energy use. Direct factors include grain output and per capita water use. A case study of China's Central Plains Urban Agglomeration shows improved coordination between systems from 2011 to 2020. The research offers insights for policy, environmental governance, and sustainable development by highlighting critical pathways for integrated resource management.

This paper presents the design of an intelligent agricultural water resources management platform using Internet of Things (IoT) technology. It integrates plant growth analysis via digital image processing, PID and fuzzy control algorithms, and real-time environmental data—such as temperature and humidity—to enable precision irrigation. The system includes data sensing, communication, central processing, and mechanical control modules, supported by both hardware and software. Experimental tests on sensor response times and communication stability using a multi-hop network confirm the platform’s reliability. The study aims to enhance irrigation accuracy and efficiency for sustainable agricultural water use.

This study developed an optimal water allocation model that incorporates the reuse of return flow to enhance irrigation efficiency. Results show that optimizing irrigation alone increases profits and planting area but still leads to water deficits. Including return flow reuse significantly boosts net profit, expands planting areas, and reduces irrigation water diversion by up to 26 million m³. This approach improves water use efficiency, lowers extraction costs, and helps protect Yellow River water quality. The study demonstrates that strategic reuse of return flow is key to sustainable, cost-effective irrigation and improved agricultural productivity over short- and long-term planning periods.

Focuses on improving global access to safe drinking water through efficient groundwater desalination. Researchers developed a membrane apparatus that effectively removes salts such as nitrates (up to 99%), chlorides (56%), sulfates (62%), and dry residue (82%) from groundwater. The system's performance was analyzed under varying concentrations, pressures, and flow velocities. A technological scheme for sustainable desalination was proposed, ensuring compliance with sanitary standards and enhancing water quality. Additionally, the membrane system achieves 99% regeneration within one hour, supporting long-term, efficient use. These findings contribute to safer, more sustainable drinking water solutions worldwide.

This study presents the first daily-resolution groundwater recharge per unit specific yield (RpSy) dataset, covering 2–38 years at 485 U.S. monitoring wells. Using the water table fluctuation (WTF) method, the dataset offers a valuable benchmark for assessing groundwater table dynamics and eco-hydrological processes. While direct validation isn't possible, comparisons with monthly USGS data highlight consistencies and differences. The RpSy dataset provides a critical reference for validating recharge estimates and daily simulations in land surface and hydrologic models, filling a major data gap in groundwater research.