| Issue |
E3S Web Conf.
Volume 711, 2026
2026 2nd International Conference on Environmental Monitoring and Ecological Restoration (EMER 2026)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 8 | |
| Section | Ecological Restoration and Remediation | |
| DOI | https://doi.org/10.1051/e3sconf/202671102002 | |
| Published online | 19 May 2026 | |
Multi-objective collaborative governance model for watershed water environment
1 National Research Institute for Rural Electrification, China-Pakistan “Belt and Road” Joint Laboratory on Small Hydropower Technology, Research Center on Rural Hydropower, MWR, This email address is being protected from spambots. You need JavaScript enabled to view it.
2 National Research Institute for Rural Electrification
* Corresponding author E-mail address: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Due to the conflicting objectives and lack of coordination among multiple stakeholders in watershed management, an integrated model for hydrodynamic-water quality coupling and multi-objective collaborative governance in the Huai River Basin needs to be developed. The model uses the control unit as a carrier, integrating DEM (Digital Elevation Model), land use data, water quality monitoring information, and pollution discharge records to simulate the pollutant transport process and the effectiveness of countermeasures. Furthermore, the NSGA-II algorithm is improved to solve for the Pareto sets corresponding to the four objectives: environment, economy, ecology, and coordination. Validation using main stream data from 2018 to 2024 shows high accuracy in fitting the baseline operating conditions. Results indicate that the environmental priority scheme can optimize the compliance rate from 76% to over 90%. In the collaborative scenario, the government and enterprises share responsibilities more effectively, and the coordination index and satisfaction are also strengthened. Sensitivity analysis can further identify high-load and drought-prone risk sections, providing a basis for differentiated investment and robust governance.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

