Abstract
Reservoirs supply drinking water to many major cities in China, and their ecological security ensures the economic development, drinking water safety and ecological balance of cities. Based on Driver-Pressure-State-Impact-Response (DPSIR) model, this study evaluated the ecological security of Changtan Reservoir in Taizhou City, East China. The ecological security evaluation system was constructed, including 17 s-level evaluation factors, which included 36 third-level evaluation indices. By combining the expert scoring method with the entropy method, the weights of each index can be calculated effectively. Finally, the ecological security index (ESI) was obtained according to the DPSIR model. The results show that the ESI of the Changtan Reservoir is 75.78, which suggests that the Changtan Reservoir is in a relatively safe state. However, the soil erosion intensity index is in a poor state in most areas. Therefore, soil and water conservation management should be strengthened. The aquatic biodiversity in the watershed of the reservoir is also poor, especially the benthos with a single species. Hence, the ecological conservation of the reservoir watershed should also be enhanced. The study also proposes that centralized treatment of urban domestic sewages and rural domestic sewages around the reservoir should be greatly improved by enhancing the sewage treatment facilities and pipelines.
Author contribution
Lingxi Li analyzed the data and was involved in writing the initial version of the manuscript. Peiyue Li conducted the field investigation and data collection, developed the suitable methodologies, provided supervision in the presented work, and involved in the writing and editing of the manuscript. Song He helped in field investigation and participated in reading and editing all the versions of the manuscript. Rui Duan and Fei Xu assisted in drawing the location map and revising the manuscript of the paper.
Acknowledgments
All authors are thankful to the useful and constructive comments from the editors and reviewers. Many students involved in the field investigation, but cannot be listed as coauthors. They are Fengmei Su, Xiaodong He, Dan Wang, Yuanhang Wang, Xiaofei Ren, Miaojun Wei, and Yujie Ji. We appreciated their support on the research. Last, but not the least, we are grateful for the help from Sibin Chen in the use of drawing software.
Data availability
This manuscript does not contain any data that can be shared.
Disclosure statement
All authors declared that they have none conflict of interest.