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流域层面不确定性下的可持续土地利用配置模型。

Sustainable Land-Use Allocation Model at a Watershed Level under Uncertainty.

机构信息

College of Marxism, Hubei University, Wuhan 430062, China.

College of Public Administration, Huazhong University of Science and Technology, Wuhan 430030, China.

出版信息

Int J Environ Res Public Health. 2021 Dec 20;18(24):13411. doi: 10.3390/ijerph182413411.

DOI:10.3390/ijerph182413411
PMID:34949016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8708993/
Abstract

Land-use allocation models can effectively support sustainable land use. A large number of studies solve the problems of land-use planning by constructing models, such as mathematical models and spatial analysis models. However, these models fail to fully and comprehensively consider three uncertain factors of land-use systems: randomness, interval and fuzziness. 33Therefore, through the study of the watershed land-use system, this paper develops a land-use allocation model considering the regional land-society-economy-environment system under uncertain conditions. On the basis of this model, an interval fuzzy two-stage random land-use allocation model (IFTSP-LUAM) combining social, economic and ecological factors is proposed to provide sustainable development strategies at the basin level. In addition, the proposed IFTSP-LUAM takes into account the above three uncertainties and multistage, multiobjective, dynamic, systematic and complex characteristics of typical land-use planning systems. The results showed that the model considers more socioeconomic and ecological factors and can effectively reflect the quantitative relationship between the increase in economic benefits and the decrease in environmental costs of a land-use system. The model was applied to land-use planning of Nansihu River Basin in Shandong Province. The results provided a series of suitable land-use patterns and environmental emission scenarios under uncertain conditions, which can help the watershed environmental protection bureau and watershed land-use decision-makers to formulate appropriate land-use policies, so as to balance social and economic development and ecological protection. The simulation results can provide support for an in-depth analysis of land-use patterns and the trade-off between economic development and ecological environment protection.

摘要

土地利用配置模型可以有效地支持可持续土地利用。大量的研究通过构建模型,如数学模型和空间分析模型,来解决土地利用规划问题。然而,这些模型未能充分全面地考虑土地利用系统的三个不确定性因素:随机性、区间性和模糊性。因此,通过对流域土地利用系统的研究,本文开发了一种考虑区域土地-社会-经济-环境系统在不确定条件下的土地利用配置模型。在此模型基础上,提出了一种结合社会、经济和生态因素的区间模糊两阶段随机土地利用配置模型(IFTSP-LUAM),为流域层面提供可持续发展策略。此外,所提出的 IFTSP-LUAM 考虑了上述三个不确定性以及典型土地利用规划系统的多阶段、多目标、动态、系统和复杂特征。结果表明,该模型考虑了更多的社会经济和生态因素,能够有效地反映土地利用系统经济效益增加和环境成本降低之间的定量关系。该模型应用于山东省南四湖流域的土地利用规划。结果提供了一系列在不确定条件下的适宜土地利用模式和环境排放情景,有助于流域环境保护局和流域土地利用决策者制定适当的土地利用政策,从而平衡社会经济发展和生态环境保护。模拟结果可以为深入分析土地利用模式以及经济发展和生态环境保护之间的权衡提供支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7a8/8708993/2365da5c54ce/ijerph-18-13411-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7a8/8708993/2365da5c54ce/ijerph-18-13411-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7a8/8708993/2365da5c54ce/ijerph-18-13411-g004.jpg

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本文引用的文献

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Contribution of the land use allocation model for agroecosystems: The case of Torrecchia Vecchia.土地利用分配模型在农业生态系统中的贡献:以托雷恰韦基亚为例。
J Environ Manage. 2019 Dec 15;252:109607. doi: 10.1016/j.jenvman.2019.109607. Epub 2019 Oct 7.
2
Optimising land use allocation to balance ecosystem services and economic benefits - A case study in Wuhan, China.优化土地利用配置,实现生态系统服务与经济效益平衡——以中国武汉市为例。
J Environ Manage. 2019 Oct 15;248:109306. doi: 10.1016/j.jenvman.2019.109306. Epub 2019 Aug 10.
3
Land use model research in agro-pastoral ecotone in northern China: A case study of Horqin Left Back Banner.
中国北方农牧交错带土地利用模型研究——以内蒙古自治区科尔沁左翼后旗为例。
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Chemosphere. 2019 Apr;220:371-380. doi: 10.1016/j.chemosphere.2018.12.116. Epub 2018 Dec 18.
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An interval chance-constrained fuzzy modeling approach for supporting land-use planning and eco-environment planning at a watershed level.基于区间机会约束模糊模型的流域土地利用与生态环境规划方法
J Environ Manage. 2017 Dec 15;204(Pt 1):651-666. doi: 10.1016/j.jenvman.2017.09.021. Epub 2017 Sep 22.
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Spatial Optimization of Future Urban Development with Regards to Climate Risk and Sustainability Objectives.考虑气候风险和可持续性目标的未来城市发展的空间优化。
Risk Anal. 2017 Nov;37(11):2164-2181. doi: 10.1111/risa.12777. Epub 2017 Feb 23.
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An uncertainty and sensitivity analysis approach for GIS-based multicriteria landslide susceptibility mapping.一种基于地理信息系统的多准则滑坡易发性制图的不确定性和敏感性分析方法。
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