2010—2020年陕西省神木市生态环境质量时空演变及其驱动因素

孙维婕; 何璐; 于强; 苗禹琳; 赵际剀; 刘维

doi:10.13961/j.cnki.stbctb.2024.01.028

您当前的位置：

首页 >

文章列表页 >

2010—2020年陕西省神木市生态环境质量时空演变及其驱动因素

试验研究

- 2010—2020年陕西省神木市生态环境质量时空演变及其驱动因素
- Spatial-temporal Evolution of Ecological Environmental Quality and Driving Factors in Shenmu City of Shaanxi Province from 2010 to 2020
- 水土保持通报 2024年44卷第1期页码：284-292
- 作者机构：
  
  北京林业大学精准林业北京市重点实验室,北京,100083
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“基于生态安全格局的荒漠绿洲区生态保护红线划定方法研究”(42071237)
- DOI：10.13961/j.cnki.stbctb.2024.01.028
  中图分类号： {P964};X821
- 纸质出版：2024
- 稿件说明：
移动端阅览
孙维婕, 何璐, 于强, 等. 2010—2020年陕西省神木市生态环境质量时空演变及其驱动因素[J]. 水土保持通报, 2024,44(1):284-292.

Sun Weijie, He Lu, Yu Qiang, et al. Spatial-temporal Evolution of Ecological Environmental Quality and Driving Factors in Shenmu City of Shaanxi Province from 2010 to 2020[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 284-292.
孙维婕, 何璐, 于强, 等. 2010—2020年陕西省神木市生态环境质量时空演变及其驱动因素[J]. 水土保持通报, 2024,44(1):284-292. DOI： 10.13961/j.cnki.stbctb.2024.01.028.

Sun Weijie, He Lu, Yu Qiang, et al. Spatial-temporal Evolution of Ecological Environmental Quality and Driving Factors in Shenmu City of Shaanxi Province from 2010 to 2020[J]. Bulletin of Soiland Water Conservation, 2024, 44(1): 284-292. DOI： 10.13961/j.cnki.stbctb.2024.01.028.

摘要

[目的] 陕西省神木市是黄河流域生态保护建设的重要地区。分析该地区生态环境质量变化

为资源型城市神木市的生态环境治理、修复及绿色发展提供科学依据。[方法] 选取2010

2015与2020年共3期Landsat遥感影像

利用主成分分析方法构建遥感生态指数(RSEI)作为生态环境评价指标

分析神木市生态环境质量时空演变格局

并通过地理探测器探究该地区生态环境驱动机制。[结果] ①神木市生态环境质量持续恶化

RSEI指数下降幅度达到12.47 %

在2010-2015年间下降最快;神木市生态环境质量很差与较差的面积增加幅度达到15.29 %。②神木市生态环境质量恶化以西北部的风沙区率先增强

随后转向地势较低的东南部和东北部。同时

神木市生态环境质量以较差和一般为主

两者总和占据神木市总面积的67.09 %。③植被覆盖度与绿度、湿度、干度及热度4个指标因素均表现出显著的驱动性

其中植被覆盖度解释力最高(达到62.4 %)

是神木市生态环境质量的主要驱动力;多因子交互也均表示出协同增强的作用

夜间灯光、人口密度、热度与植被覆盖度交互作用最强。[结论] 神木市生态环境质量总体仍在进一步恶化

尽管前期退化得到遏制

但恶化区域在逐渐扩大

提高植被覆盖度可以有效增强神木市生态环境质量。为此应进一步落实植被绿化等生态保护措施

提升神木市高品质生态环境质量。

Abstract

[Objective] The changes of ecological environmental quality were analyzed at Shenmu City of Shaanxi Province

an important area for ecological protection and construction in the Yellow River basin

in order to provide a scientific basis for ecological environmental management

restoration

and green development in this resource-based city.[Methods] Landsat remote sensing images in 2010

2015

and 2020 were selected

and the remote sensing ecological index (RSEI) was constructed as an ecological environmental evaluation index by using the principal component analysis method to analyze the spatial and temporal evolution pattern of ecological environmental quality in Shenmu City. The ecological environmental driving mechanism in the area was determined by Geodetector.[Results] ① The ecological environmental quality of Shenmu City deteriorated over time

with the decline in RSEI reaching 12.47 %

decreasing the fastest from 2010 to 2015. The area with poor ecological environmental quality in Shenmu City increased by 15.29 %. ② The ecological environmental quality in Shenmu City deteriorated first in the sandy area in the northwest (enhanced by wind)

and then shifted to the southeast and northeast where the elevation was lower. Meanwhile

the dominant ecological environmental quality in Shenmu City was categorized as poor and fair. The area of those two categories occupied 67.09 % of the total area of Shenmu City. ③ The four indicator factors of vegetation cover and greenness

humidity

dryness

and heat were identified as significant drivers of ecological environmental quality in Shenmu City. Vegetation cover was the main driver of ecological environmental quality

accounting for 62.40 % of the variation in ecological environmental quality. The multi-factor interactions also all indicated synergistic enhancement

and the interaction between night light

population density

heat

and vegetation coverage was the strongest.[Conclusion] The overall ecological environmental quality in Shenmu City has been deteriorating over time. Although the previous degradation has been contained

the area of deteriorating ecological environmental quality is gradually expanding. Increasing vegetation cover can effectively enhance the ecological environmental quality in Shenmu City. Therefore

ecological protection measures such as vegetation greening should be further implemented to improve the ecological environmental quality in Shenmu City.

关键词

Keywords

references

刘晓琼,刘彦随,任日照.陕西榆林能源重化工基地生态环境问题及防治对策[J].灾害学,2010,25(2):129-133. Liu Xiaoqiong, Liu Yansui, Ren Rizhao. Ecological and environmental problems and countermeasures for the prevention and control of energy and heavy chemical industry base in Yulin, Shaanxi[J]. Journal of Catastrophology, 2010,25(2):129-133.

杨泽康,田佳,李万源,等.黄河流域生态环境质量时空格局与演变趋势[J].生态学报,2021,41(19):7627-7636. Yang Zekang, Tian Jia, Li Wanyuan, et al. Spatial and temporal patterns and evolutionary trends of ecological quality in the Yellow River basin[J]. Acta Ecologica Sinica, 2021,41(19):7627-7636.

Meng Fanxin, Guo Jinling, Guo Zhangiang, et al. Urban ecological transition:the practice of ecological civilization construction in China[J]. Science of The Total Environment, 2021,755:142633.

Wang Yan, Wang Li, Shao Hongbo. Ecological footprint analysis applied to a coal-consumption county in China[J]. CLEAN-Soil, Air, Water, 2014,42(7):1004-1013.

孙亚军,张梦飞,高尚,等.典型高强度开采矿区保水采煤关键技术与实践[J].煤炭学报,2017,42(1):56-65. Sun Yajun, Zhang Mengfei, Gao Shang, et al. Key technology and practice of water preservation coal mining in typical high-intensity mining mines[J]. Journal of China Coal Society, 2017,42(1):56-65.

薛明月.黄河流域经济发展与生态环境耦合协调的时空格局研究[J].世界地理研究,2022,31(6):1261-1272. Xue Mingyue. Spatio-temporal pattern of coupling and harmonization of economic development and ecological environment in the Yellow River basin[J]. World Regional Studies, 2022,31(6):1261-1272.

崔仁泽,宋川,王宜新,等.生态环境质量评价现状分析及展望[J].环境科学与管理, 2022,47(10):186-189. Cui Renze, Song Chuan, Wang Yixin, et al. Analysis of the current status and prospect of ecological environment quality assessment[J]. Environmental Science and Management, 2022,47(10):186-189.

马永康,姜怡,凌成星,等.基于RSEI指数的雄安新区生态质量评价[J].四川林业科技,2022,43(4):8-16. Ma Yongkang, Jiang Yi, Ling Chengxing, et al. Evaluation of ecological quality in Xiong'an New Area based on RSEI index[J]. Journal of Sichuan Forestry Science and Technology, 2022,43(4):8-16.

陈利军,刘高焕,励惠国.中国植被净第一性生产力遥感动态监测[J].遥感学报,2002,6(2):129-135. Chen Lijun, Liu Gaohuan, Li Huiguo. Remote sensing dynamic monitoring of net primary productivity of vegetation in China[J]. National Remote Sensing Bulletin, 2002,6(2):129-135.

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. Xu Hanqiu. Creation of urban remote sensing ecological index and its application[J]. Acta Ecologica Sinica, 2013,33(24):7853-7862.

An Min, Xie Ping, He Weijun, et al. Spatiotemporal change of ecologic environment quality and human interaction factors in three gorges ecologic economic corridor, based on RSEI[J]. Ecological Indicators, 2022,141:109090.

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. Wang Lichun, Jiao Li, Lai Fengbing, et al. Evaluation of ecological changes in the wetland of Manas Lake, Xinjiang based on remote sensing ecological index[J]. Acta Ecologica Sinica, 2019,39(8):2963-2972.

李思政,王柳柱,赵晟,等.基于GEE平台的舟山岛生态环境质量动态评价[J].水土保持通报, 2023,43(2):293-302. Li Sizheng, Wang Liuzhu, Zhao Sheng, et al. Dynamic evaluation of Zhoushan Island's ecological environment quality based on GEE platform[J]. Bulletin of Soil and Water Conservation, 2023,43(2):293-302.

徐涵秋,张好.海岛型城市扩展的生态效应分析:以厦门岛为例[J].地理科学, 2015,35(7):867-872. Xu Hanqiu, Zhang Hao. Analysis of the ecological effect of island-type urban expansion:Taking Xiamen Island as an example[J]. Scientia Geographica Sinica, 2015,35(7):867-872.

毕卫华,钱倬珺,王辉,等.基于RSEI的采煤塌陷积水对生态环境的影响研究[J].中国矿业, 2021,30(12):38-44. Bi Weihua, Qian Jonjun, Wang Hui, et al. Research on the impact of coal mining collapse water on ecological environment based on RSEI[J]. China Mining Magazine, 2021,30(12):38-44.

邓目丽,蒋馥根,孙华,等.神木市植被覆盖度时空动态变化分析[J].森林与环境学报,2021,41(6):611-619. Deng Muli, Jiang Fugen, Sun Hua, et al. Spatial and temporal dynamics of vegetation cover in Shenmu City[J]. Journal of Forest and Environment, 2021,41(6):611-619.

封建民,郭玲霞,陈玲侠.近10年来神木县土地利用变化和生态效应的地形特征分异研究[J].水土保持研究, 2016,23(3):132-136. Feng Jianmin, Guo Lingxia, Chen Lingman. Study on topographic feature differentiation of land use change and ecological effect in Shenmu County in the past 10 years[J]. Research of Soil and Water Conservation, 2016,23(3):132-136.

吴金华,刘思雨,白帅.基于景观生态安全的神木市生态廊道识别与优化[J].干旱区研究,2021,38(4):1120-1127. Wu Jinhua, Liu Siyu, Bai Shuai. Identification and optimization of ecological corridors in Shenmu City based on landscape ecological security[J]. Arid Zone Research, 2021,38(4):1120-1127.

彭鹏.神木市土地利用/覆盖变化及驱动力分析[D].甘肃兰州,甘肃农业大学, 2017. Peng Peng. Analysis of LUCC and driving forces in Shenmu City[D]. Lanzhou, Gansu:Gansu Agricultural University, 2017.

王峰.资源型城市转型可持续发展研究:西安:以陕西神木为例[D].陕西西安,长安大学, 2014. Wang Feng. Study on the sustainable development of resource city transformation:Taking Shenmu of Shanxi Province as an example[D]. Xi'an, Shaanxi:Chang'an University, 2014.

王涛.基于循环经济的神木县兰炭产业可持续发展研究[D].陕西西安:西北大学, 2012. Wang Tao. The research of sustainable development o畦猠敓?灥慮瑭瑵攠牣湯?慥渠摩?敤捵潳汴潲杹椠换慡汳?獤攠牯癮椠捣敩?癣慵汬畡敲?楥湣?卮桯敭湹浛畄??漠畘湩琧祡??匠桓慨慡湡确楸?债牎潯癲楴湨捷敥孳?崠???當汥汲敳瑩楴湹?漠昲‰匱漲椮氼?慲渾摛′圲慝琠敃牲??潴渠獅攠牐瘮愠瑁椠潔湍???び?????????㈠???????ent transformation for reflectance factor data[J]. Remote Sensing of Environment, 1985,17(3):301-306.

Goward S N, Xue Yongkang, Czajkowski K P. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements:An exploration with the simplified simple biosphere model[J]. Remote Sensing of Environment, 2002,79(2-3):225-242.

Rikimaru A, Roy P S, Miyatake S. Tropical forest cover density mapping[J]. Tropical ecology, 2002,43(1):39-47.

Nichol J. Remote sensing of urban heat islands by day and night[J]. Photogrammetric engineering and remote sensing, 2005,71(5):613-621.

钟欣呈,许泉立.基于RSEI模型的玉溪市生态环境变化监测与评价[J].水土保持研究,2021,28(4):350-357. Zhong Xincheng, Xu Quanli. Monitoring and evaluation of ecological environment changes in Yuxi City based on RSEI model[J]. Research of Soil and Water Conservation, 2021,28(4):350-357.

刘超,吴丹丹,杨考.一种新的高维数据降维方法[J].统计与咨询, 2012(4):16-17. Liu Chao, Wu Dandan, Yang Kao. A new method for dimensionality reduction of high-dimensional data[J]. Statistics and Consultation, 2012(4):16-17.

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. Wang Jinfeng, Xu Chengdong. Geoprobes:principles and prospects[J]. Acta Geographica Sinica, 2017,72(1):116-134.

Wang Jinfeng, Zhang Tonglin, Fu Bojie. A measure of spatial stratified heterogeneity[J]. Ecological indicators, 2016,67:250-256.

Cao Feng, Ge Yong, Wang Jinfeng. Optimal discretization for geographical detectors-based risk assessment[J]. GIScience&Remote Sensing, 2013,50(1):78-92.

石玉琼,王宁练,李团胜,等.榆林市景观生态风险及其时空分异[J].干旱区研究,2019,36(2):494-504. Shi Yuqiong, Wang Ninglian, Li Tuansheng, et al. Landscape ecological risk and its spatio-temporal differentiation in Yulin City[J]. Arid Zone Research, 2019,36(2):494-504.

封建民,郭玲霞.陕西省神木县土地利用格局和生态服务价值变化[J].水土保持通报,2014,34(6):293-298. Feng Jianmin, Guo Lingxia. Changes in land

浏览量

477

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

2000—2024年黄河源园区生态环境质量变化及其驱动因素

毛乌素沙地生态环境质量时空演变及驱动因素

基于遥感生态指数的元谋干热河谷生态环境动态监测及其驱动力分析

闽江流域生态环境质量动态变化及其驱动力

基于GEE云计算的南宁市生态环境质量时空分异监测