期刊目次

加入编委

期刊订阅

添加您的邮件地址以接收即将发行期刊数据:

Open Access Article

Urban Environment and Ecological Planning. 2024; 1: (1) ; 13-19 ; DOI: 10.12208/j.ueep.20240003.

A Multi-dimensional Assessment of Ecologically Sensitive Areas: A Case Study of Ziqing in Nanjing
生态敏感区多维度评估——以南京紫青镇为例

作者: Siwei Tang *

西南财经大学天府学院 四川成都

*通讯作者: Siwei Tang,单位:西南财经大学天府学院 四川成都;

发布时间: 2024-11-21 总浏览量: 115

摘要

随着中国城市化进程的加快,许多城市都受到了负面影响。本项目重点保护南京紫青的生态环境,应用地理信息系统(GIS)加强生态保护和解决环境问题。GIS可以汇总、分析和可视化空间数据,是生态敏感区(ESA)选择过程中可用的工具之一。生态敏感性是指生态系统对人类活动和自然环境变化的响应程度,反映了区域范围内出现生态问题的可能性。本研究通过模型构建和因子选择来评估紫青的生态敏感性。本研究探讨了GIS中分类和数据处理的当前应用,以及空间分析在选址和微气候改善中的潜力。该项目将生态和基础设施指标应用于生态敏感性评估,从因子选择到生态敏感性分区评估。它结合了德尔菲法、层次分析法和叠加法等多种方法。通过分析,对紫青地区景观环境现状进行多维度的评价,为今后的保护和发展提供依据。

关键词: 城市化;生态敏感区(ESA);多维方法;地理信息系统(GIS)

Abstract

With the acceleration of urbanization in China, many cities are subjected to negative impacts. This project focuses on protecting the ecological environment of Ziqing in Nanjing by applying Geographic Information System (GIS) to enhance ecological protection and address environmental issues. GIS can aggregate, analyze, and visualize spatial data, serving as one of the tools available during the selection process for Ecologically Sensitive Areas (ESAs). Ecological sensitivity refers to the extent to which ecosystems respond to human activities and changes in the natural environment, reflecting the likelihood of ecological problems arising at a regional scale. In this study, the ecological sensitivity of Ziqing is evaluated through model construction and factor selection. This research explores the current applications of classification and data processing in GIS, as well as the potential of spatial analysis in site selection and microclimate improvement. The project applies both ecological and infrastructural indicators in the evaluation of ecological sensitivity, from factor selection to the assessment of ecological sensitivity zoning. It combines various methods such as the Delphi Method, Analytic Hierarchy Process, and Overlaying Analysis to provide a multi-dimensional evaluation of the landscape environment in Ziqing, offering a basis for future protection and development efforts.

Key words: Urbanization; Ecologically Sensitive Areas (ESAs); Multi-dimensional Methods; Geographic Information System (GIS)

参考文献 References

[1] Eby P, Peel A J, Hoegh A, Madden W, Giles J R, Hudson P J, et al. Pathogen spillover driven by rapid changes in bat ecology. Nature. 2023; 613(7943):340-344. Available from: https://doi.org/10.1038/s41586-022-05506-2.

[2] Deng J S, Wang K, Hong Y, Qi J G. Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization. Landscape and Urban Planning. 2009; 92(3-4):187-198.Available from: https://doi.org/10.1016/j.landurbplan.2009.05.001.

[3] Wang Z. Evolving landscape-urbanization relationships in contemporary China. Landscape and Urban Planning. 2018; 171:30-41.Available from: https://doi.org/10.1016/ j.landurbplan.2017.11.010.

[4] Gu T, Luo T, Ying Z, Wu X, Wang Z, Zhang G, et al. Coupled relationships between landscape pattern and ecosystem health in response to urbanization. Journal of Environmental Management. 2024; 367:122076.Available from: https://doi.org/10.1016/j.jenvman.2024.122076.

[5] Niu Q, Yu L, Jie Q, Li X. An urban eco-environmental sensitive areas assessment method based on variable weights combination. Environment, Development and Sustainability. 2020; 22:2069-85. Available from: https://doi.org/10.1007/s10668-018-0277-x.

[6] Zhang J, Wang K, Chen X, Zhu W. Combining a Fuzzy Matter-Element Model with a Geographic Information System in Eco-Environmental Sensitivity and Distribution of Land Use Planning. International Journal of Environmental Research and Public Health. 2011; 8(4):1206-1221. Available from: https://doi.org/10.3390/ ijerph8041206.

[7] Leman N, Ramli M F, Khirotdin R P K. GIS-based integrated evaluation of environmentally sensitive areas (ESAs) for land use planning in Langkawi, Malaysia. Ecological Indicators. 2016; 61:293-308. Available from: https://doi.org/10.1016/j.ecolind.2015.09.029.

[8] Wei X, Eboy O V, Xu L, Yu D. Ecological Sensitivity of Urban Agglomeration in the Guanzhong Plain, China. Sustainability. 2023; 15(6):4804. Available from: https://doi. org/ 10.3390/su15064804.

[9] Rowe G, Wright G. The Delphi technique as a forecasting tool: issues and analysis. International Journal of Forecasting. 1999; 15(4):353-75. Available from: https://doi.org/10.1016/S0169-2070(99)00018-7.

[10] Saaty T L, Peniwati K. Group Decision Making: Drawing Out and Reconciling Differences. Pittsburgh: RWS Publications, 2013.

[11] Lu W H, Liu J, Xiang X Q, Song W L, McIlgorm A. A comparison of marine spatial planning approaches in China: Marine functional zoning and the marine ecological red line. Marine Policy. 2015; 62:94-101. Available from: https://doi.org/10.1016/j.marpol.2015.09.004.

[12] Liquan X, Junqing Z. The new town development in ecological sensitive area based on resilience thinking. Procedia-Social and Behavioral Sciences. 2016; 216:998-1005. Available from: https://doi.org/10.1016/ j.sbspro. 2015.12.096.

[13] Wei Y, An M, Huang J, Fang X, Song M, Wang B, et al. How human activities affect and reduce ecological sensitivity under climate change: Case study of the Yangtze River Economic Belt, China. Journal of Cleaner Production. 2024; 472:143438.https://doi.org/10.1016/ j.jclepro.2024.143438.

引用本文

SiweiTang, 生态敏感区多维度评估——以南京紫青镇为例[J]. 城市环境与生态规划, 2024; 1: (1) : 13-19.