Ecology and Environment

Remote sensing evaluation of ecological environment in Urumqi City and analysis of driving factors

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  • 1. College of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, Xinjiang, China
    2. Silk Road Economic Belt Urban Development Research Center, Xinjiang Normal University, Urumqi 830054, Xinjiang, China

Received date: 2021-01-26

  Revised date: 2021-07-05

  Online published: 2021-09-24

Abstract

The ecological environment quality assessment is essential to the sustainable development of the regional social economy. This paper takes Urumqi, Xinjiang, as the research area, preprocessed the Landsat series data of 2000, 2010, and 2019. The principal component analysis method was used to construct the Remote Sensing Ecological Index (RSEI), and the single factor analysis and the multi-factor interaction analysis method were used in the geographic detector to influence the eight factors of RSEI (population density, land use type, altitude, economics density, green degree, humidity, heat, and dryness). The quantitative detection of the degree of influence was conducted, after which the dominant factors affecting the ecological environment quality of the study area were revealed. The results show that: (1) The average RSEI values of Urumqi in 2000, 2010, and 2019 were 0.21, 0.21, and 0.23, respectively, showing an increasing trend. During the study period, Urumqi's ecological improvement area was greater than the area that deteriorated, indicating the ecological environment quality of Urumqi. In a state of improvement; (2) In the past 20 years, among the eight impact factors in the study area, the single factor heat index has the strongest explanatory power for the spatial differentiation characteristics of RSEI; (3) The spatial distribution characteristics of the ecological environment in the study area are the result of the mutual interaction of multiple influencing factors. Considering the interaction of multiple factors, population density, greenness index, and dryness index are the main influencing factors and key driving forces of the quality of regional ecological environment. Evaluating the quality of the regional ecological environment, understanding the status of the ecological environment and mastering its changing laws do not only aid the promotion of sustainable development of the regional economy but also has important practical significance and reference value for constructing urban ecological civilization.

Cite this article

Pariha Helili,ZAN Mei,Alimjan Kasim . Remote sensing evaluation of ecological environment in Urumqi City and analysis of driving factors[J]. Arid Zone Research, 2021 , 38(5) : 1484 -1496 . DOI: 10.13866/j.azr.2021.05.31

References

[1] 王东升, 王小磊, 雷泽勇. 基于遥感生态指数的阜新市生态质量评估[J]. 生态科学, 2020, 39(3): 88-94.
[1] [ Wang Dongsheng, Wang Xiaolei, Lei Zeyong. Ecological change assessment of Fuxin based on remote sensing ecological index[J]. Ecological Science, 2020, 39(3): 88-94. ]
[2] 杨江燕, 吴田, 潘肖燕, 等. 基于遥感生态指数的雄安新区生态质量评估[J]. 应用生态学报, 2019, 30(1): 277-284.
[2] [ Yang Jiangyan, Wu Tian, Pan Xiaoyan, et al. Ecological quality assessment of Xiongan New Area based on remote sensing ecological index[J]. Chinese Journal of Applied Ecology, 2019, 30(1) : 277-284. ]
[3] 宋媛, 石惠春, 谢敏慧, 等. 2000—2017年甘肃省生态环境质量时空演变格局及其影响因素[J]. 生态学杂志, 2019, 38(12): 3800-3808.
[3] [ Song Yuan, Shi Huichun, Xie Minhui, et al. Spatiotemporal evolution pattern and influencing factors of eco-environmental quality in Gansu from 2000 to 2017[J]. Chinese Journal of Ecology, 2019, 38(12): 3800-3808. ]
[4] 杨胜天, 刘昌明, 杨志峰, 等. 南水北调西线调水工程区的自然生态环境评价[J]. 地理学报, 2002, 57(1): 11-18.
[4] [ Yang Shengtian, Liu Changming, Yang Zhifeng, et al. Natural Eco-environmental evaluation of west route area of interbasin water transfer project[J]. Acta Geographic Sinica, 2002, 57(1): 11-18. ]
[5] 任志远, 李晶. 陕南秦巴山区植被生态功能的价值测评[J]. 地理学报, 2003, 58(4): 503-511.
[5] [ Ren Zhiyuan, Li Jing. The valuation of ecological services from the vegetation ecosystems in the Qinling-Daba mountains[J]. Acta Geographic Sinica, 2003, 58(4): 503-511. ]
[6] 李晓文, 方精云, 朴世龙. 近10年来长江下游土地利用变化及其生态环境效应[J]. 地理学报, 2003, 58(5): 659-667.
[6] [ Li Xiaowen, Fang Jingyun, Piao Shilong. Landuse changes and its implication to the ecological consequences in lower Yangze region[J]. Acta Geographic Sinica, 2003, 58(5): 659-667. ]
[7] 阿里木江·卡斯木. 人口密度、夜间光数据及MODIS的全球城市分类[J]. 遥感信息, 2018, 33(1): 86-92.
[7] [ Alimujiang Kasimu. Global urban characterization using population density, DMSP data and MODIS data[J]. Remote Sensing Information, 2018, 33(1): 86-92. ]
[8] 高炜, 安如, 王喆. 基于微波遥感技术的干旱监测指数及其应用研究——以三江源区为例[J]. 干旱区研究, 2017, 34(3): 541-550.
[8] [ Gao Wei, An Ru, Wang Zhe. Drought index and its application based on microwave remote sensing technology: A case study in the Three-River Headwaters Region[J]. Arid Zone Research, 2017, 34(3): 541-550. ]
[9] Sullivan C A, Skeffington M S, Gormally M J, et al. The ecological status of grasslands on lowland farmlands in western Ireland and implications for grassland classification and nature value assessment[J]. Biological Conservation, 2010, 143: 1529-1539.
[10] Li Wangming, Wang Jianzheng, Ge Dandong. Analysis of ecological carrying capacity change and driving factors at urban fringe: A case of Hangzhou City[J]. Journal of Zhejiang University(Engineering Science), 2008, 42(1): 39-43.
[11] Ochoa-Gaona S, Kampichler C, de Jong B H J, et al. Amulti-criterion index for the evaluation of local tropical forest conditions in Mexico[J]. Forest Ecology Management, 2010, 260: 618-627.
[12] 阿布都米吉提·阿布力克木, 阿里木江·卡斯木, 艾里西尔·库尔班, 等. 近40年台特玛-康拉克湖泊群水域变化遥感监测[J]. 湖泊科学, 2014, 26(1): 46-54.
[12] [ Ablekim Abdimijit, Kasimu Alimujiang, Kurban Alishir, et al. Monitoring the water area changes in Tetima-Kanglayka lakes region over the past four decades by remotely sensed data[J]. Journal of Lake Sciences, 2014, 26(1): 46-54. ]
[13] 张瑞钢, 莫兴国, 林忠辉. 滹沱河上游山区近50年蒸散变化及主要影响因子分析[J]. 地理科学, 2012, 32(5): 628-634.
[13] [ Zhang Ruigang, Mo Xingguo, Lin Zhonghui. The trend and the principal influence factors of evapotranspiration in Hutuo River Basin during last 50 years[J]. Scientia Geographica Sinica, 2012, 32(5): 628-634. ]
[14] 李佩武, 李贵才, 陈莉, 等. 深圳市植被径流调节及其生态效益分析[J]. 自然资源学报, 2009, 24(7): 1223-1233.
[14] [ Li Peiwu, Li Guicai, Chen Li, et al. Analysis of Shenzhen’s vegetation: Flood control and ecological benefit[J]. Journal of Natural Resources, 2009, 24(7): 1223-1233. ]
[15] 崔秋洋, 潘云, 杨雪. 基于Landsat 8遥感影像的北京市平原区不透水层盖度估算[J]. 首都师范大学学报(自然科学版), 2015, 36(2): 89-92.
[15] [ Cui Qiuyang, Pan Yun, Yang Xue. Estimation of the impermeable layer coverage in the plain area of Beijing based on Landsat 8 remote sensing image[J]. Journal of Capital Normal University(Natural Science Edition), 2015, 36(2): 89-92. ]
[16] 徐涵秋. 区域生态环境变化的遥感评价指数[J]. 中国环境科学, 2013, 33(5): 889-897.
[16] [ Xu Hanqiu. A remote sensing index for assessment of regional ecological changes[J]. China Environmental Science, 2013, 33(5): 889-897. ]
[17] 张亚球, 姜放, 纪梦达, 等. 基于遥感指数的区县级生态环境评价[J]. 干旱区研究, 2020, 37(6): 1598-1605.
[17] [ Zhang Yaqiu, Jiang Fang, Ji Mengda, et al. Assessment of the ecological environment at district and county level based on remote sensing index[J]. Arid Zone Research, 2020, 37(6): 1598-1605. ]
[18] 王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134.
[18] [ Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographic Sinica, 2017, 72(1): 116-134. ]
[19] 郭泽呈, 魏伟, 庞素菲, 等. 基于SPCA和遥感指数的干旱内陆河流域生态脆弱性时空演变及动因分析——以石羊河流域为例[J]. 生态学报, 2019, 39(7): 2558-2572.
[19] [ Guo Zecheng, Pang Sufei, et al. Spatio-temporal evolution and motivation analysis of ecological vulnerability in Arid Inland River Basin based on SPCA and remote sensing index: A case study on the Shiyang River Basin[J]. Acta Ecologica Sinica, 2019, 39(7): 2558-2572. ]
[20] 文广超, 赵梅娟, 谢洪波, 等. 伊犁河谷西部土地植被覆盖演化及驱动力分析[J]. 干旱区研究, 2021, 38(3): 843-854.
[20] [ Wan Guangchao, Zhao Meijuan, Xie Hongbo, et al. Analysis of land vegetation cover evolution and driving forces in the western part of the Ili River Valley[J]. Arid Zone Research, 2021, 38(3): 843-854. ]
[21] 张亚如, 张军民. 城镇化与经济发展的时空相互作用机制研究——以新疆为例[J]. 干旱区地理, 2020, 43(3): 839-848.
[21] [ Zhang Yaru, Zhang Junmin. Spatio-temporal interaction mechanism of urbanization and economic development: A case of Xinjiang[J]. Arid Land Geography, 2020, 43(3): 839-848. ]
[22] 李世海. 乌鲁木齐市大气环境质量现状及对策[J]. 区域治理, 2019(24): 54-57.
[22] [ Li Shihai. Present situation and countermeasure of atmospheric environment quality in Urumqi[J]. Regional Governance, 2019(24): 54-57. ]
[23] 魏伟, 颉耀文, 魏晓旭, 等. 基于CLUE-S模型和生态安全格局的石羊河流域土地利用优化配置[J]. 武汉大学学报(信息科学版), 2017, 42(9): 1306-1315.
[23] [ Xie Yaowen, Wei Xiaoxu, et al. Land use optimization based on CLUE-S model and ecological security scenario in Shiyang river basin[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9): 1306-1315. ]
[24] Liu H, Jiang D, Yang X, et al. Spatialization approach to 1 km grid GDP supported by remote sensing[J]. Geo-Information Science, 2005, 7(2): 120-123.
[25] 易玲, 熊利亚, 杨小唤. 基于GIS技术的GDP空间化处理方法[J]. 甘肃科学学报, 2006, 18(2): 54-58.
[25] [ Yi Ling, Xiong Liya, Yang Xiaohuan. Method of Pixelizing GDP data based on the GIS[J]. Journal of Gansu Sciences, 2006, 18(2): 54-58. ]
[26] 王志杰, 苏嫄. 南水北调中线汉中市水源地生态脆弱性评价与特征分析[J]. 生态学报, 2018, 38(2): 432-442.
[26] [ Wang Zhijie, Su Yuan. Analysis of eco-environmental vulnerability characteristics of Hanzhong City, near the water source midway along the route of the south-to-north water transfer project, China[J]. Acta Ecologica Sinica, 2018, 38(2): 432-442. ]
[27] 徐涵秋. 城市遥感生态指数的创建及其应用[J]. 生态学报, 2013, 33(24): 7853-7862.
[27] [ Xu Hanqiu. A remote sensing urban ecological index and its application[J]. Acta Ecologica Sinica, 2013, 33(24): 7853-7862. ]
[28] 王丽春, 焦黎, 来风兵, 等. 基于遥感生态指数的新疆玛纳斯湖湿地生态变化评价[J]. 生态学报, 2019, 39(8): 2963-2972.
[28] [ Wang Lichun, Jiao Li, Lai Fengbin, et al. Evaluation of ecological changes based on a remote sensing ecological index in a Manas Lake wetland, Xinjiang[J]. Acta Ecologica Sinica, 2019, 39(8): 2963-2972. ]
[29] Huang C, Wylie B, Yang L, et al. Derivation of a tasselled cap transformation based on Landsat 7 at satellite reflectance[J]. International Journal of Remote Sensing, 2002, 23(6): 1741-1748.
[30] 徐涵秋. 水土流失区生态变化的遥感评估[J]. 农业工程学报, 2013, 29(7): 91-97, 294.
[30] [ Xu Hanqiu. Remote sensing assessment of ecological changes in soil and water loss areas[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(7): 91-97, 294. ]
[31] Nichol J. Remote sensing of urban heat islands by day and night[J]. Photogrammetric Engineering and Remote Sensing, 2005, 71(6): 613-621.
[32] 蒋博文. 基于PCA变换的多光谱图像降维方法研究[J]. 信息技术, 2012, 36(8): 98-101.
[32] [ Jiang Bowen. Method of multi-spectral images reduce-dimensions based on PCA[J]. Information Technology, 2012, 36(8): 98-101. ]
[33] 王静, 姚顺波, 刘天军. 退耕还林(草)工程实施以来降水利用效率演变格局及归因——以宝鸡地区为例[J]. 干旱区研究, 2020, 37(5): 1233-1245.
[33] [ Wang Jing, Yao Shunbo, Liu Tianjun. The evolution pattern and attribution of rainfall use efficiency since the implementation of the project of returning farmland to forest (grass): A case study in Baoji[J]. Arid Zone Research, 2020, 37(5): 1233-1245. ]
[34] 朱增云, 阿里木江·卡斯木. 基于地理探测器的伊犁谷地生境质量时空演变及其影响因素[J]. 生态学杂志, 2020, 39(10): 3408-3420.
[34] [ Zhu Zengyun, Alimujiang Kasimu. Spatial-temporal evolution of habital quality in Yili Valley based on geographical detectors and its influencing factors[J]. Chinese Journal of Ecology, 2020, 39(10): 3408-3420. ]
[35] 高鹏文, 阿里木江·卡斯木, 图尔荪阿依·如孜, 等. 哈密市生态环境效益时空分析[J]. 干旱区研究, 2020, 37(4): 1057-1067.
[35] [ Gao Pengwen, Alimujiang Kasimu, Tursunayi Ruzi, et al. Temporal and spatial analysis of ecological environment improvement in Hami City[J]. Arid Zone Research, 2020, 37(4): 1057-1067. ]
[36] 杨保华, 杨清华, 陈剑虹. 关于《生态环境状况评价技术规范(试行)》中土地退化指数的权重及计算方法的探讨[J]. 生态与农村环境学报, 2011, 27(3): 103-107.
[36] [ Yang Baohua, Yang Qinghua, Chen Jianhong. Weight of land (soil) degradation indeces and optimization of their calculation in “echnical criteria or evaluation of ecological environment (Trial)”[J]Journal of Ecology and Rural environment, 2011, 27(3): 103-107. ]
[37] 蔡贤, 杜晓初. 基于遥感生态指数的鄂州市生态环境质量评估[J]. 湖北大学学报(自然科学版), 2020, 42(3): 233-239, 246.
[37] [ Cai Xian, Du Xiaochu. Eco-environment quality assessment of Ezhou City based on RSEI[J]. Journal of Hubei University (Natural Science Edition), 2020, 42(3): 233-239, 246. ]
[38] 孙灏, 马立茹, 蔡创创, 等. 干旱区地表温度和热岛效应演变研究——以宁夏沿黄城市带为例[J]. 干旱区地理, 2020, 43(3): 694-705.
[38] [ Sun Hao, Ma Liru, Cai Chuangchuang, et al. Evolution of surface temperature and heat island effect in arid areas: A case of city belt along the Yellow River in Ningxia[J]. Arid Land Geography, 2020, 43(3): 694-705. ]
[39] 高焕霖, 张廷龙, 樊华烨, 等. 基于地理探测器的杨凌示范区生态环境质量影响因素定量分析[J]. 西北林学院学报, 2020, 35(5): 185-194.
[39] [ Gao Huanlin, Zhang Tinglong, Fan Huaye, et al. Quantitative analysis of the factors affecting ecological environment quality in Yangling demonstration zone based on geograohical detector[J]. Journal of Northwest Forestry University, 2020, 35(5): 185-194. ]
[40] 宋慧敏, 薛亮. 基于遥感生态指数模型的渭南市生态环境质量动态监测与分析[J]. 应用生态学报, 2016, 27(12): 3913-3919.
[40] [ Song Huimin, Xue Liang. Dynamic monitoring and analysis of ecological environment in Weinan City, Northwest China based on RSEI model[J]. Chinese Journal of Applied Ecology, 2016, 27(12): 3913-3919. ]
[41] Song Y, Wang J, Ge Y, et al. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: Cases with different types of spatial data[J]GIScience & Remote Sensing, 2020, 5: 593-610.
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