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author:

Qin, Chengzhi (Qin, Chengzhi.) [1] | Zhu, Liangjun (Zhu, Liangjun.) [2] | Shen, Shen (Shen, Shen.) [3] | Wu, Tong (Wu, Tong.) [4] | Xiao, Guirong (Xiao, Guirong.) [5] (Scholars:肖桂荣) | Wu, Sheng (Wu, Sheng.) [6] (Scholars:吴升) | Chen, Yunzhi (Chen, Yunzhi.) [7] (Scholars:陈芸芝) | Wang, Xiaoqin (Wang, Xiaoqin.) [8] (Scholars:汪小钦) | Feng, Xianfeng (Feng, Xianfeng.) [9] | Zhu, Axing (Zhu, Axing.) [10] | Lu, Feng (Lu, Feng.) [11]

Indexed by:

EI Scopus PKU CSSCI CSCD

Abstract:

The construction of China's ecological civilization, known as 'Beautiful China', necessitates implementing precision watershed management through scientifically informed decision-making. This entails optimizing the spatial distribution of watershed best management practices (the so- called BMP scenario) and proposing multistage implementation plans, or roadmaps that align with practical requirements based on the overarching vision of comprehensive water shed management.The'water shed system simulation-scenariooptimization' method frame work (the simulation-and-optimization-based frame work for short) has demonstrated considerable potential in recent years. To address challenges arising from practical applications of this framework, this study systematically conducted the methodological research: (1) proposing a novel watershed process modeling framework that strikes a balance between modeling flexibility and high-performance computing to model and simulate watershed systems efficiently; (2) introducing slope position units as BMP configuration units and enabling dynamic boundary adjustments during scenario optimization, effectively incorporating practical knowledge of watershed management to ensure reasonable outcomes; (3) presenting an optimization method for determining the implementation orders of BMPs that considers stepwise investment constraints, thereby recommending feasible roadmaps that meet practical needs; and (4) designing a user-friendly participatory watershed planning system to facilitate collaborative decision-making among stakeholders. The effectiveness and practical value of these new methods, tools, and prototype systems are validated through application cases in a representative small watershed. This research contributes to advancing precision watershed management and provides valuable insights for sustainable ecological conservation. The methods proposed within the simulation-and-optimization-based framework in this study are universal methods, which means their application does not depend on the specific implementation, such as the watershed process model, the BMP types considered, the designed BMP configuration strategy, and so on. Further studies should be conducted not only to deepen related theory and method research but also to strengthen promotion and application, especially cooperating with local watershed management agents to provide valuable insights for their sustainable ecological conservation. © 2024 Science Press. All rights reserved.

Keyword:

Computation theory Decision making Decision support systems Ecology Investments Soil conservation Water conservation Water management Watersheds

Community:

  • [ 1 ] [Qin, Chengzhi]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China
  • [ 2 ] [Qin, Chengzhi]College of Resources and Environment, University of Chinese Academy of Sciences, Beijing; 100049, China
  • [ 3 ] [Zhu, Liangjun]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China
  • [ 4 ] [Zhu, Liangjun]College of Resources and Environment, University of Chinese Academy of Sciences, Beijing; 100049, China
  • [ 5 ] [Shen, Shen]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China
  • [ 6 ] [Wu, Tong]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China
  • [ 7 ] [Wu, Tong]College of Resources and Environment, University of Chinese Academy of Sciences, Beijing; 100049, China
  • [ 8 ] [Xiao, Guirong]The Academy of Digital China (Fujian), Fuzhou; 350108, China
  • [ 9 ] [Xiao, Guirong]Key Laboratory of Spatial Data Mining and Information Sharing of MOE, Fuzhou University, Fuzhou; 350108, China
  • [ 10 ] [Wu, Sheng]The Academy of Digital China (Fujian), Fuzhou; 350108, China
  • [ 11 ] [Wu, Sheng]Key Laboratory of Spatial Data Mining and Information Sharing of MOE, Fuzhou University, Fuzhou; 350108, China
  • [ 12 ] [Chen, Yunzhi]The Academy of Digital China (Fujian), Fuzhou; 350108, China
  • [ 13 ] [Chen, Yunzhi]Key Laboratory of Spatial Data Mining and Information Sharing of MOE, Fuzhou University, Fuzhou; 350108, China
  • [ 14 ] [Wang, Xiaoqin]The Academy of Digital China (Fujian), Fuzhou; 350108, China
  • [ 15 ] [Wang, Xiaoqin]Key Laboratory of Spatial Data Mining and Information Sharing of MOE, Fuzhou University, Fuzhou; 350108, China
  • [ 16 ] [Feng, Xianfeng]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China
  • [ 17 ] [Feng, Xianfeng]College of Resources and Environment, University of Chinese Academy of Sciences, Beijing; 100049, China
  • [ 18 ] [Zhu, Axing]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China
  • [ 19 ] [Zhu, Axing]College of Resources and Environment, University of Chinese Academy of Sciences, Beijing; 100049, China
  • [ 20 ] [Zhu, Axing]School of Geography, Nanjing Normal University, Nanjing; 210023, China
  • [ 21 ] [Zhu, Axing]Department of Geography, University of Wisconsin-Madison, Madison; WI; 53706, United States
  • [ 22 ] [Lu, Feng]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing; 100101, China
  • [ 23 ] [Lu, Feng]College of Resources and Environment, University of Chinese Academy of Sciences, Beijing; 100049, China

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Source :

Acta Geographica Sinica

ISSN: 0375-5444

CN: 11-1856/P

Year: 2024

Issue: 1

Volume: 79

Page: 58-75

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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