Monitoring of ecological environment changes in the Yangtze River Economic Belt (Jiangsu province) from 1999 to 2020 and analysis of the driving forces of human activities

doi:10.13474/j.cnki.11-2246.2021.0034

Abstract

Abstract: Coordinating the relationship between regional urbanization and ecological environment protection is one of the core issues to promote the sustainable development of Yangtze River Economic Belt in our country. According to the existing research, the response relationship between ecological environment changes and human activities drives lacks of supporting data corresponding to time and space, whose impact process is also unknown. This research takes full advantage of the multi-source satellite remote sensing technology in processing and extracting time and space information, takes the districts along the Yangtze river economic belt in Jiangsu section as an example, utilizes the Landsat series of remote sensing images from 1999 to 2000, 2009 to 2010, and 2019 to 2020, and applies the RSEI model to quantitatively analyze the spatial and temporal variation of the regional ecological environment in the research area from 1999 to 2020. Besides, in order to quantitatively explore the impact of human activities (urbanization) on the ecological environment under disparate intensities in different area, the time and space information indicators including the artificial impervious surface (IS) and the nighttime light (NTL) are imported, and the proportion of IS area and the mean value of IS area NTL radiance in each district are defined. Research results indicated that:① From 1999 to 2020, the ecological environment quality of the urbanization areas in the districts along the Yangtze river in Jiangsu Province and their surrounding areas has declined significantly. Moreover, the IS regional areas for different districts in the research region increased rapidly from 2000 to 2009, which led to regional eco-environment quality declined significantly. Simultaneously, the regional eco-environment quality improved slowly from 2010 to 2020 due to increased greening area in partial urbanization region. ② The IS area proportion of each district in the research region has a significantly negative correlation with its RSEI average. However, the negative correlation between the mean value of the NTL radiance in the IS region and the mean value of its RSEI were relatively weakened, especially in the districts where the IS area proportion accounted for more than 0.3. In these districts, the interaction coupling relationship between urbanization and ecological environment became more complex. As a result, their detailed function model needs to be further investigated.

Key words: urbanization, ecological environment, remote sensing ecology index, Yangtze River Economic Belt, impervious surface, nighttime light

CLC Number:

P237

SONG Ke, WANG Yujun, LI Yin. Monitoring of ecological environment changes in the Yangtze River Economic Belt (Jiangsu province) from 1999 to 2020 and analysis of the driving forces of human activities[J]. Bulletin of Surveying and Mapping, 2021, 0(2): 7-12.

References

[1] 刘耀彬,李仁东,宋学锋.中国区域城市化与生态环境耦合的关联分析[J].地理学报,2005,60(2):237-247.
[2] 乔标,方创琳. 城市化与生态环境协调发展的动态耦合模型及其在干旱区的应用[J]. 生态学报, 2005,25(11):3003-3009.
[3] 方创琳,周成虎,顾朝林,等.特大城市群地区城镇化与生态环境交互耦合效应解析的理论框架及技术路径[J].地理学报,2016,71(4):531-550.
[4] 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.
[5] 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.
[6] 徐涵秋,施婷婷,王美雅,等.雄安新区地表覆盖变化及其新区规划的生态响应预测[J].生态学报, 2017,37(19):6289-6301.
[7] 吴志杰,王猛猛,陈绍杰,等. 基于遥感生态指数的永定矿区生态变化监测与评价[J]. 生态科学,2016,35(5):200-207.
[8] 刘索玄,袁艳斌,赵皞,等. 基于遥感生态指数(RSEI)的水电开发区生态环境变化分析:以清江中下游地区为例[J].生态与农村环境学报,2019,35(11):1361-1368.
[9] 宋美杰,罗艳云,段利民. 基于改进遥感生态指数模型的锡林郭勒草原生态环境评价[J]. 干旱区研究,2019,36(6):1521-1527.
[10] 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.
[11] 施婷婷,徐涵秋,孙凤琴,等. 建设项目引发的区域生态变化的遥感评估——以敖江流域为例[J].生态学报,2019,39(18):6826-6839.
[12] 程朋根, 岳琛, 危小建,等. 尺度变化对城市生态环境与人类活动关系的影响研究[J]. 测绘通报, 2020(3):56-63.
[13] 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.
[14] 林中立, 徐涵秋. 基于遥感的海岛型城市发展生态效应分析——以厦门岛为例[J]. 福州大学学报(自然科学版), 2019,47(5):610-616.
[15] 程志峰, 何祺胜. 基于RSEI的苏锡常城市群生态环境遥感评价[J]. 遥感技术与应用, 2019,34(3):531-539.
[16] 李红星,黄解军,梁友嘉,等. 基于遥感生态指数的武汉市生态环境质量评估[J].云南大学学报(自然科学版),2020,42(1):81-90.
[17] 周成,冯学钢,唐睿.区域经济-生态环境-旅游产业耦合协调发展分析与预测——以长江经济带沿线各省市为例[J].经济地理,2016,36(3):186-193.
[18] 姜磊,柏玲,吴玉鸣.中国省域经济、资源与环境协调分析——兼论三系统耦合公式及其扩展形式[J].自然资源学报,2017,32(5):788-799.
[19] 李茜,胡昊,李名升,等.中国生态文明综合评价及环境、经济与社会协调发展研究[J].资源科学, 2015,37(7):1444-1454.
[20] ARIKEN M, ZHANG F, LIU K, et al. Coupling coordina-tion analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data[J]. Ecological Indicators,2020, 114:106331.
[21] KEARNEY S P, COOPS N C, STENHOUSE G B, et al. EcoAnthromes of Alberta:an example of disturbance-informed ecological regionalization using remote sensing[J]. Journal of Environmental Management,2019, 234:297-310.
[22] YANG C, ZHANG C C, LI Q Q, et al. Rapid urbanization and policy variation greatly drive ecological quality evolution in Guangdong-Hong Kong-Macau greater bay area of China:A remote sensing perspective[J]. Ecological Indicators, 2020,115:106373.
[23] 张立伟,张运,黄晨.皖江城市带近20a生态环境变化遥感指数分析[J].长江流域资源与环境,2018,27(5):1061-1070.
[24] 肖长江,欧名豪,李鑫.基于生态-经济比较优势视角的建设用地空间优化配置研究——以扬州市为例[J].生态学报,2015,35(3):696-708.
[25] 韩博,金晓斌,项晓敏,等.基于"要素-景观-系统"框架的江苏省长江沿线生态修复格局分析与对策[J].自然资源学报,2020,35(1):141-161.
[26] 刘远书,高文文,侯坤,等. 南水北调中线水源区生态环境变化分析研究[J]. 长江流域资源与环境,2015,24(3):440-446.
[27] ZHANG X, LIU L Y, WU C S, et al. Development of a global 30m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform[J]. Earth System Science Data, 2020,12(3):1625-1648.
[28] 任宇飞,方创琳,孙思奥,等. 城镇化与生态环境近远程耦合关系研究进展[J].地理学报, 2020,75(3):589-606.
[29] 孙克强,朱巧玲,肖平,等. 推进长江经济带生态环境保护的重点与措施——以江苏为例[J]. 江南论坛, 2020(1):4-6.