ECOLOGICAL SENSITIVITY EVALUATION BASED ON GIS: A CASE STUDY IN HENGSHUI, CHINA
DOI:
https://doi.org/10.21837/pm.v23i36.1767Keywords:
Ecological sensitivity, GIS, Hengshui cityAbstract
Hengshui City, located in China, serves as an ecological barrier for the coordinated development of the Beijing-Tianjin-Hebei region. The city prioritizes ecological civilization construction and actively promotes pollution control and ecological restoration. This study examines nine ecological factors from three categories: natural resources, terrain, and social factors. These factors include the digital elevation model (DEM), slope, rainfall, land use and cover (LUCC), normalized vegetation index (NDVI), net primary productivity (NPP), population, night light (NL), and soil erosion (SE). Using data from 2010 to 2020, we constructed an evaluation index system. We conducted a comprehensive analysis and evaluation of the ecological sensitivity of Hengshui City by combining the Analytic Hierarchy Process (AHP) with Geographic Information Systems (GIS). The results indicate that the comprehensive ecological sensitivity of Hengshui City can be categorized into four levels: mild sensitivity, moderate sensitivity, high sensitivity, and extreme sensitivity. Overall, Hengshui City exhibits mainly mild ecological sensitivity, with minimal changes in area over the study period. These research findings provide valuable insights for maintaining the health of Hengshui City's ecosystem and optimizing ecological management strategies.
Downloads
References
Bi, M., Xie, G., & Yao, C. (2020). Ecological security assessment based on the renewable ecological footprint in the Guangdong-Hong Kong-Macao Greater Bay Area, China. Ecological Indicators, 116(April), 106432. https://doi.org/10.1016/j.ecolind.2020.106432
Chen, J., Wang, S., & Zou, Y. (2022). Construction of an ecological security pattern based on ecosystem sensitivity and the importance of ecological services: A case study of the Guanzhong Plain urban agglomeration, China. Ecological Indicators, 136, 108688. https://doi.org/10.1016/j.ecolind.2022.108688
Guan, X., Wei, H., Lu, S., Dai, Q., & Su, H. (2018). Assessment on the urbanization strategy in China: Achievements, challenges and reflections. Habitat International, 71(September 2017), 97–109. https://doi.org/10.1016/j.habitatint.2017.11.009
Khan, R., Saxena, A., Shukla, S., Goel, P., Bhattacharya, P., Li, P., Ali, E. F., & Shaheen, S. M. (2022). Appraisal of water quality and ecological sensitivity with reference to riverfront development along the River Gomti, India. Applied Water Science, 12(1), 13. https://doi.org/10.1007/s13201-021-01560-9
Liang, C., & Li, X. (2012). The ecological sensitivity evaluation in yellow river delta national natural reserve. CLEAN–Soil, Air, Water, 40(10), 1197–1207. https://doi.org/10.1002/clen.201200051
Liu, W., Guo, Z., Wang, H., Wang, D., & Zhang, M. (2022). Spatial-temporal variations for pollution assessment of heavy metals in Hengshui Lake of China. Water, 14(3), 458. https://doi.org/10.3390/w14030458
Liu, X., Su, Y., Li, Z., & Zhang, S. (2023). Constructing ecological security patterns based on ecosystem services trade-offs and ecological sensitivity: A case study of Shenzhen metropolitan area, China. Ecological Indicators, 154, 110626. https://doi.org/10.1016/j.ecolind.2023.110626
Meraj, G., Singh, S. K., Kanga, S., & Islam, M. N. (2022). Modeling on comparison of ecosystem services concepts, tools, methods and their ecological-economic implications: A review. Modeling Earth Systems and Environment, 8(1), 15–34. https://doi.org/10.1007/s40808-021-01131-6
Niu, Q., Yu, L., Jie, Q., & Li, X. (2020). An urban eco-environmental sensitive areas assessment method based on variable weights combination. Environment, Development and Sustainability, 22(3), 2069–2085. https://doi.org/10.1007/s10668-018-0277-x
Ran, Y., Lei, D., Li, J., Gao, L., Mo, J., & Liu, X. (2022). Identification of crucial areas of territorial ecological restoration based on ecological security pattern: A case study of the central Yunnan urban agglomeration, China. Ecological Indicators, 143, 109318. https://doi.org/10.1016/j.ecolind.2022.109318
Song, G., Chen, Y., Tian, M., Lv, S., Zhang, S., & Liu, S. (2010). The ecological vulnerability evaluation in southwestern mountain region of China based on GIS and AHP method. Procedia Environmental Sciences, 2, 465–475. https://doi.org/10.1016/j.proenv.2010.10.051
Sun, J., Wang, X., & Shahid, S. (2020). Precipitation and runoff variation characteristics in typical regions of North China Plain: A case study of Hengshui City. Theoretical and Applied Climatology, 142, 971–985. https://doi.org/10.1007/s00704-020-03344-8
Tsou, J. Y., Gao, Y., Zhang, Y., Sun, G., Ren, J., & Li, Y. (2017). Evaluating urban land carrying capacity based on the ecological sensitivity analysis: A case study in Hangzhou, China. Remote Sensing, 9(6), 529. https://doi.org/10.3390/rs9060529
Wei, X., Eboy, O. V., Xu, L., & Yu, D. (2023). Ecological Sensitivity of Urban Agglomeration in the Guanzhong Plain, China. Sustainability, 15(6), 4804. https://doi.org/10.3390/su15064804
Wu, J. (2014). Urban ecology and sustainability: The state-of-the-science and future directions. Landscape and Urban Planning, 125, 209–221. https://doi.org/10.1016/j.landurbplan.2014.01.018
Xu, L., Yin, H., Li, Z., & Li, S. (2014). Land ecological security evaluation of Guangzhou, China. 2, 10537–10558. https://doi.org/10.3390/ijerph111010537
Yilmaz, F. C., Zengin, M., & Tekin Cure, C. (2020). Determination of ecologically sensitive areas in Denizli province using geographic information systems (GIS) and analytical hierarchy process (AHP). Environmental Monitoring and Assessment, 192(9), 589. https://doi.org/10.1007/s10661-020-08514-9
Ying, X., Zeng, G.-M., Chen, G.-Q., Tang, L., Wang, K.-L., & Huang, D.-Y. (2007). Combining AHP with GIS in synthetic evaluation of eco-environment quality—A case study of Hunan Province, China. Ecological Modelling, 209(2–4), 97–109. https://doi.org/10.1016/j.ecolmodel.2007.06.007
Yu, J., Li, F., Wang, Y., Lin, Y., Peng, Z., & Cheng, K. (2020). Spatiotemporal evolution of tropical forest degradation and its impact on ecological sensitivity: A case study in Jinghong, Xishuangbanna, China. Science of the Total Environment, 727, 138678. https://doi.org/10.1016/j.scitotenv.2020.138678
Yu, L., Xie, D., & Xu, X. (2022). Environmental suitability evaluation for human settlements of rural residential areas in Hengshui, Hebei Province. Land, 11(12), 2112. https://doi.org/10.3390/land11122112
Yu, T., Bao, A., Xu, W., Guo, H., Jiang, L., Zheng, G., Yuan, Y., & Nzabarinda, V. (2020). Exploring variability in landscape ecological risk and quantifying its driving factors in the Amu Darya Delta. International Journal of Environmental Research and Public Health, 17(1), 79. https://doi.org/10.3390/ijerph17010079
Zhao, Y., Wang, L., Li, H., Zhu, Y., Wang, Q., Jiang, S., Zhai, J., & Hu, P. (2020). Evaluation of groundwater overdraft governance measures in Hengshui City, China. Sustainability, 12(9), 3564. https://doi.org/10.3390/su12093564
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported License.
Copyright & Creative Commons Licence
eISSN: 0128-0945 © Year. The Authors. Published for Malaysian Institute of Planners. This is an open-access article under the CC BY-NC-ND license.
The authors hold the copyright without restrictions and also retain publishing rights without restrictions.
