Evaluation of typical natural landscapes in Xinjiang based on an EWM-CRITIC-TOPSIS model
WANG Fanglei1,2,3(), ZHANG Lei1,2(), ZHAI Fuxiang4
1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China 2. International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China 3. University of Chinese Academy of Sciences, Beijing 100049, China 4. Aerospace Times Feihong Technology Company Limited, Beijing 100094, China
In 2021, China launched the third comprehensive scientific expedition in Xinjiang to establish a natural protected area system centered around national parks and to achieve the goal of the declaration and protection of world natural heritage. Based on the natural landscape identification using the space-ground integrated technology, this study constructed an EWM-CRITIC-TOPSIS model, followed by the elevation of 460 typical natural landscapes of 15 categories in Xinjiang. The results indicate that compared to traditional multi-index evaluation methods, the EWM-CRITIC-TOPSIS model can reduce the limitations of a single weighting approach by comprehensively considering various evaluation indicators, proving highly applicable to landscape assessment. The assessment of landscapes by categories reveals that grade I, II, III, and IV geological and geomorphological landscapes account for 2.9%, 30.5%, 44.7%, and 21.9%, respectively; grade I, II, III, and IV terrestrial biological landscape represent 1.7%, 24.6%, 40.0%, and 33.7%, respectively, and grade I, II, III, and IV wetland landscapes account for 12.2%, 26.7%, 52.2%, and 8.9%, respectively. This study will provide an important foundation and reference for the protection, utilization, and management of natural landscape resources in Xinjiang.
王芳蕾, 张磊, 翟富祥. 基于EWM-CRITIC-TOPSIS模型的新疆典型自然景观评估[J]. 自然资源遥感, 2025, 37(1): 94-101.
WANG Fanglei, ZHANG Lei, ZHAI Fuxiang. Evaluation of typical natural landscapes in Xinjiang based on an EWM-CRITIC-TOPSIS model. Remote Sensing for Natural Resources, 2025, 37(1): 94-101.
Cheng C, Xiao Y, Rao E M. Analysis of natural landscape value change in recent 20 years of Xiangshan Park in Beijing[J]. Acta Ecologica Sinica, 2014, 34(20):6020-6027.
Wang C L, Fan Y L, Pang Y, et al. Extraction of deciduous conife-rous forest based on Google Earth Engine(GEE) and Sentinel-2 image[J].Journal of Beijing Forestry University, 2023, 45(8):1-15.
Wang L, Fang W X, Lu J, et al. A study on tectonic geomorphology and landscape ecological pattern in the Kangsu area,Wuqia,Xinjiang[J]. Journal of Geomechanics, 2022, 28(1):101-112.
[5]
Dong S, Ma J, Mo Y, et al. GIS-based watershed unit forest landscape visual quality assessment in Yangshuo section of Lijiang River basin,China[J]. Sustainability, 2022, 14(22):14895.
Zhang Z Y. Study on visual landscape quality evaluation of fast track forest belt in winter Olympic plain[D]. Beijing: Chinese Academy of Forestry, 2021.
[7]
Li H, Xie H, Woodward G. Soundscape components,perceptions,and EEG reactions in typical mountainous urban parks[J]. Urban Forestry & Urban Greening, 2021,64:127269.
Liu Z H, Zhang G J, Fu F J. Assessing landscape ecological risk based on landscape pattern and services in Guangzhou during 1990—2015[J]. Acta Ecologica Sinica, 2020, 40(10):3295-3302.
[9]
Kang N, Liu C. Towards landscape visual quality evaluation:Methodologies,technologies,and recommendations[J]. Ecological Indicators, 2022,142:109174.
Ministry of Housing and Urban-Rural Development. GB/T 50298—2018 Overall planning standards for scenic spots[S]. Beijing: China Architecture & Building Press, 2018.
State Administration for Market Regulation, Standardization Administration. GB/T 39737—2021 Specification for national park establishment[S]. Beijing: Standards Press of China, 2021.
[12]
Hasler D, Suesstrunk S E. Measuring colorfulness in natural images[C]// Proceeding SPIE 5007,Human Vision and Electronic Imaging VIII, 2003,5007:87-95.
Tian F J, Ma Q S, Zhang M, et al. Evaluation of water quality in Xin’anjiang River basin based on principal component analysis and entropy weight method[J]. Geology in China, 2023, 50(2):495-505.
Xu M, Xu J, Wan Y S, et al. Safety evaluation of subway station construction based on CRITIC method and TOPSIS[J]. Journal of Natural Disasters, 2022, 31(3):157-166.
[15]
Neogi D. Performance appraisal of select nations in mitigation of COVID-19 pandemic using entropy based TOPSIS method[J]. Ciencia & Saude Coletiva, 2021, 26(4):1419-1428.