Author:
Liu Yuqi,Zhu Chaoyi,Du Jiashuo
Abstract
Effectively managing hydrological systems requires a comprehensive strategy involving data collection, predictive modeling, and stakeholder engagement. This study integrates “Shared Vision Planning” principles with fuzzy evaluation and heuristic search, aiming for a balanced and sustainable hydrological system management strategy. The synergy between fuzzy evaluation and heuristic algorithms establishes a robust decision-making framework, optimizing water resource utilization and addressing varied interest groups’ concerns. Tested using data from the Great Lakes region in North America, our model demonstrates effectiveness in achieving coordinated water resource management, contributing to a resilient water resource management paradigm with positive implications for regional development.
Reference11 articles.
1. Wang Ziyue. Attribution and future prediction of extreme summer precipitation events in the middle and lower reaches of the Yangtze River [D]. Nanjing University of Information Science and Technology, (2023). DOI:10.27248/d.cnki.gnjqc.2023.000052.
2. Hydroclimatological Drivers of Extreme Floods on Lake Ontario
3. Wei Hong, Ma Yunfei. On the Construction of Common Emotions of the Community of Human Destiny in Disaster Diplomacy[J]. Socialist Studies, 2021(02):163–172.
4. Conflict Management in Participatory Approaches to Water Management: A Case Study of Lake Ontario and the St. Lawrence River Regulation
5. Chelsea D, Xiang L, Kerry H, et al. Estimating Lake Water Volume With Regression and Machine Learning Methods#13;[J]. Frontiers in Water, 2022, 4