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Jing P, Sheng J, Wang Y, Hu T, Guo L, Zhu R, Dong K, Mahmoud A, Liu Y, Li X. Assessing the ecological security of the Three Gorges reservoir complex ecosystem based on the improved three-dimensional emergy ecological footprint model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:173086. [PMID: 38734102 DOI: 10.1016/j.scitotenv.2024.173086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/13/2024]
Abstract
The ecological security (ES) of the reservoir complex ecosystem (RCE) is one of the critical components of watershed water security and sustainable development. Hence, accurately assessing the ES of the RCE is of utmost importance. This study proposed a novel ecological security assessment model based on the improved three-dimensional emergy ecological footprint (ESM-IEEF3D), which integrated various emergy flows during the RCE's construction and operation into a three-dimensional emergy ecological footprint (EEF3D) calculation account. The Three Gorges Project (TGP) is selected as a case study to evaluate the ES from 1993 to 2022 comprehensively. The results showed that the Three Gorges RCE mainly showed an ecological remainder state, and the inflow runoff enormously promoted the TGP's sustainability. The EEF3D indicated a fluctuation decrease trend with a mean value of 7.18 × 102 ha, illustrating that TGP's ecological security and sustainability levels are gradually improving. Regarding the ES evaluation indicators, the TGP's resource dependency and ecological pressure on the natural ecosystem and the external socio-economic system are steadily relieved. Furthermore, the Three Gorges RCE's resource utilization condition is safe, the structural characteristics are healthy, and the eco-economic coordination degree is continuously enlightening. Finally, applicable policy implications for improving the ecological security of Three Gorges RCE were provided. This study helps to understand the complex relationship between humans and ecosystems. It provides a novel framework to be used as an evaluation index and policy insights for hydropower ecological security and sustainable development.
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Affiliation(s)
- Peiran Jing
- State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China; The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China
| | - Jinbao Sheng
- The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China.
| | - Yi Wang
- International Business School, Beijing Foreign Studies University, Beijing 100089, China
| | - Tiesong Hu
- State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China
| | - Lidan Guo
- Business School, Hohai University, Nanjing 211100, China
| | - Rui Zhu
- Pearl River Water Resources Research Institute, Pearl River Water Resources Commission of the Ministry of Water Resources, Guangzhou 510611, China
| | - Kai Dong
- The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China
| | - Ali Mahmoud
- State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China
| | - Yong Liu
- State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China; The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China
| | - Xiang Li
- State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China
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Guan X, Xu Y, Meng Y, Xu W, Yan D. Quantifying multi-dimensional services of water ecosystems and breakpoint-based spatial radiation of typical regulating services considering the hierarchical clustering-based classification. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119852. [PMID: 38159309 DOI: 10.1016/j.jenvman.2023.119852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 12/05/2023] [Accepted: 12/11/2023] [Indexed: 01/03/2024]
Abstract
This study proposes a set of water ecosystem services (WES) research system, including classification, benefit quantification and spatial radiation effect, with the goal of promoting harmonious coexistence between humans and nature, as well as providing a theoretical foundation for optimizing water resources management. Hierarchical cluster analysis was applied to categorize WES taking in to account the four nature constraints of product nature, energy flow relationships, circularity, and human social utility. A multi-dimensional benefit quantification methodology system for WES was constructed by combining the emergy theory with multidisciplinary methods of ecology, economics, and sociology. Based on the theories of spatial autocorrelation and breaking point, we investigated the spatial radiation effects of typical services in the cyclic regulation category. The proposed methodology has been applied to Luoyang, China. The results show that the Resource Provisioning (RP) and Cultural Addition (CA) services change greatly over time, and drive the overall WES to increase and then decrease. The spatial and temporal distribution of water resources is uneven, with WES being slightly better in the southern region than the northern region. Additionally, spatial radiation effects of typical regulating services are most prominent in S County. This finding suggests the establishment of scientific and rational intra-basin or inter-basin water management systems to expand the beneficial impacts of water-rich areas on neighboring regions.
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Affiliation(s)
- Xinjian Guan
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Yingjun Xu
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Yu Meng
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China.
| | - Wenjing Xu
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
| | - Denghua Yan
- School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, PR China; Yellow River Laboratory, Zhengzhou University, Zhengzhou, Henan, 450001, PR China
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