基于遥感生态指数改进模型的沱江流域生态环境质量时空变化及驱动力研究

赵晓燕; 谈树成; 张素; 李永平; 吴汉; 王超

doi:10.13870/j.cnki.stbcxb.2024.05.017

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基于遥感生态指数改进模型的沱江流域生态环境质量时空变化及驱动力研究

更新时间：2025-02-18

- 基于遥感生态指数改进模型的沱江流域生态环境质量时空变化及驱动力研究
- Analysis of Spatial and Temporal Changes and Driving Forces of Ecological Environment Quality in Tuojiang River Basin Based on RSEI Improved Modeling
- 水土保持学报 2024年38卷第5期页码：151-163
- 作者机构：
  
  1. 内江师范学院地理与资源科学学院,四川,内江,641000
  2. 云南大学国际河流与生态安全研究院,昆明,650500
  3. 云南大学地球科学学院,昆明,650500
  4. 大连大学生命健康学院,辽宁,大连,116000
  5. 内江师范学院国际教育学院,四川,内江,641000
- 作者简介：
  
  [ "赵晓燕(1990—),女,博士研究生,主要从事景观生态学和生态系统服务研究。E-mail:843358083@qq.com" ]
- 基金信息：
  
  国家自然科学基金青年基金项目(42207413);沱江流域生态工程治理背景下水土环境时空变化研究项目(TJGZL2020-07);云南省教育厅科技创新团队项目(CY22624109)
- DOI：10.13870/j.cnki.stbcxb.2024.05.017
  中图分类号： X826;X835
- 纸质出版：2024
- 稿件说明：
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赵晓燕, 谈树成, 张素, 等. 基于遥感生态指数改进模型的沱江流域生态环境质量时空变化及驱动力研究[J]. 水土保持学报, 2024,38(5):151-163.

ZHAO Xiaoyan, TAN Shucheng, ZHANG Su, et al. Analysis of Spatial and Temporal Changes and Driving Forces of Ecological Environment Quality in Tuojiang River Basin Based on RSEI Improved Modeling[J]. 2024, 38(5): 151-163.
赵晓燕, 谈树成, 张素, 等. 基于遥感生态指数改进模型的沱江流域生态环境质量时空变化及驱动力研究[J]. 水土保持学报, 2024,38(5):151-163. DOI： 10.13870/j.cnki.stbcxb.2024.05.017.

ZHAO Xiaoyan, TAN Shucheng, ZHANG Su, et al. Analysis of Spatial and Temporal Changes and Driving Forces of Ecological Environment Quality in Tuojiang River Basin Based on RSEI Improved Modeling[J]. 2024, 38(5): 151-163. DOI： 10.13870/j.cnki.stbcxb.2024.05.017.

摘要

[目的] 沱江流域面临严重的水土流失、水环境污染和土壤侵蚀等生态环境问题

开展流域生态环境质量评价对推动长江上游生态环境保护和流域社会经济高质量可持续发展具有重要意义。[方法] 基于谷歌地球引擎平台

选取2000—2020年的Landsat遥感影像

以绿度、湿度、热度、干度、生物丰度指数构建生态环境质量评价模型

采用变异系数、一元线性回归和空间自相关分析方法对流域内生态环境质量的时空演变格局进行分析

并运用最优参数地理探测器模型(optimal parameter geographic detector model

OPGD)对其驱动力进行探测。[结果] (1)2000—2020年

沱江流域生态环境质量多年平均值为0.66

等级以良为主

占比为63.01%。成都周边区县、内江、自贡、泸州等城镇地区生态环境质量较差

呈现南北低中间高的空间分布格局。(2)沱江流域生态环境质量总体呈下降趋势

生态环境质量变差的趋势显著

轻微退化和显著退化面积占比分别为19.75%和5.88%。人口密度大

社会经济发展水平高的城镇化地区

生态环境质量以较高波动为主

占比为18.15%。(3)2000—2020年沱江流域全局自相关莫兰指数范围为0.769~0.870

主要分布在第1象限和第3象限

局部自相关的高—高集聚区和低—低集聚区范围随时间呈显著变化

景观斑块破碎化明显。(4) OPGD结果表明

土地利用类型、坡度、高程、夜间灯光为流域生态环境质量变化的主要驱动因子

人口密度、气温和GDP为次要驱动因子

降水量和坡向因子影响较小。土地利用类型与其他因子交互作用增强对流域内生态环境质量变化的影响。[结论] 改进的遥感生态指数模型对开展区域生态环境质量评价提供新方法

研究结果为生态环境保护提供参考。

Abstract

[Objective]Tuojiang River Basin is facing serious ecological and environmental problems such as soil erosion

water environment pollution and soil erosion. It is of great significance to carry out the evaluation of the ecological and environmental quality of this basin in order to promote the ecological environmental protection of the upper reaches of the Yangtze River and the high-quality sustainable development of the basin's socio-economy. [Methods] Based on the Google Earth Engine platform

Landsat remote sensing images from 2000 to 2020 were selected to construct an ecological environment quality evaluation model with NDVI

WET

LST

NDBSI

and AI indices

and the coefficient of variation

one-way linear regression

and spatial autocorrelation analysis methods were used to analyze the spatial and temporal evolution pattern of ecological environment quality in the watershed

and to detect the driving force using the optimal parameter Geographic Detector Model(OPGD). [Results] (1) During the period of 2000—2020

the multi-year average value of ecological environmental quality in the Tuojiang River Basin is 0.66

and the grade is mainly good

accounting for 63.01%. The ecological environment quality in the surrounding districts and counties of Chengdu

Neijiang

Zigong

Luzhou and other towns and regions is poor

showing a spatial distribution pattern of low north-south and high middle. (2) The ecological environment quality of the Tuojiang River Basin is generally on a declining trend

and the trend of deterioration of ecological environment quality is significant

with the ratio of slightly degraded and significantly degraded areas being 19.75% and 5.88%. The urbanized areas with high population density and high level of socio-economic development are dominated by higher fluctuations in ecological environment quality

accounting for 18.15%. (3) The global autocorrelation Moran index of Tuojiang River Basin during 20 years ranged from 0.769 to 0.870

which was mainly distributed in the first and third quadrants

and the ranges of local autocorrelation high-high agglomerations and low-low agglomerations showed significant changes over time

with obvious fragmentation of the landscape patches. (4) The OPGD results show that land use type

slope

elevation

and nighttime lighting are the main drivers of ecological quality change in the watershed

population density

temperature

and GDP are secondary drivers

and precipitation and slope orientation factors are less influential. Land use type interacted with other factors to enhance the influence on the change of ecological environment quality in the watershed. [Conclusion]The improved remote sensing eco-index model provides a new method for regional ecological environment quality evaluation

and the results of the study provide a reference for ecological environment protection.

关键词

Keywords

references

赵其国,黄国勤,马艳芹.中国生态环境状况与生态文明建设[J].生态学报,2016,36(19):6328-6335. ZHAO Q G, HUANG G Q, MA Y Q. The ecological environment conditions and construction of an ecological civilization in China[J].Acta Ecologica Sinica,2016,36(19):6328-6335.

赵锐,任昕芸,苏伟洲,等. 价值核算体系融合物质流分析的沱江流域生态系统生产总值分配研究[J].云南农业大学学报(自然科学),2023,38(3):520-528. ZHAO R, REN X Y, SU W Z, et al. Study on distribution of Tuojiang River Basin ecosystem product by value accounting system combined with material flow analysis[J].Journal of Yunnan Agricultural University (Natural Science),2023,38(3):520-528.

张天翼,潘洪义,姚材仪,等.基于服务簇的沱江流域生态系统服务权衡/协同关系演变.生态与农村环境学报,2023. DOI: 10.19741/j.issn.1673-4831.2023.0570. ZHANG T Y, PAN H Y, YAO C Y, et al. Evolution of ecosystem service trade-offs and synergies in the Tuojiang River Basin based on ecosystem service Bundles.Journal of Ecology and Rural Environment,2023. DOI: 10.19741/j.issn.1673-4831.2023.0570.

WANG F, LU Y, LI J, et al. Evaluating environmentally sustainable development based on the PSR framework and variable weigh analytic hierarchy process[J].International Journal of Environmental Research and Public Health,2021,18(6):e2836.

LIU L, ZHANG Q, WANG C L, et al. Comprehensive eco-environmental impact assessment of urban planning based on pressure-state-response model[J].Applied Ecology and Environmental Research,2019,17(6):14455-14463.

范金明,张超,钱慧,等.云南生态环境质量演变过程及驱动力分析[J].西南林业大学学报(自然科学),2024,44(5):1-8. FAN J M, ZHANG C, QIAN H, et al. Analysis on the evolution process of ecological environment quality and driving force of Yunnan, China[J].Journal of Southwest Forestry University (Natural Sciences),2024,44(5):1-8.

WANG C L, JIANG Q O, SHAO Y Q, et al. Ecological environment assessment based on land use simulation: A case study in the Heihe River Basin[J].Science of the Total Environment,2019,697:e133928.

YANG W P, LI D. Spatio-temporal evolution of ecological environment quality in China from a concept of strong sustainability[J].Environmental Science and Pollution Research International,2022,29(19):28769-28787.

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. XU H Q. A remote sensing index for assessment of regional ecological changes[J].China Environmental Science,2013,33(5):889-897.

王渊,赵宇豪,吴健生.基于Google Earth Engine云计算的城市群生态质量长时序动态监测:以粤港澳大湾区为例[J].生态学报,2020,40(23):8461-8473. WANG Y, ZHAO Y H, WU J S. Dynamic monitoring of long time series of ecological quality in urban agglomerations using Google Earth Engine cloud computing: A case study of the Guangdong-Hong KongMacao Greater Bay Area, China[J].Acta Ecologica Sinica,2020,40(23):8461-8473.

吴小波,范晓雨,刘晓敬,等.基于Google Earth Engine云平台的成渝城市群生态环境质量时空变化[J].生态学杂志,2023,42(3):759-768. WU X B, FAN X Y, LIU X J, et al. Temporal and spatial variations of ecological quality of Chengdu-Chongqing Urban Agglomeration based on Google Earth Engine cloud platform[J].Chinese Journal of Ecology,2023,42(3):759-768.

郑子豪,吴志峰,陈颖彪,等.基于Google Earth Engine的长三角城市群生态环境变化与城市化特征分析[J].生态学报,2021,41(2):717-729. ZHENG Z H, WU Z F, CHEN Y B, et al. Analyzing the ecological environment and urbanization characteristics of the Yangtze River Delta Urban Agglomeration based on Google Earth Engine[J].Acta Ecologica Sinica,2021,41(2):717-729.

冯荣荣,张凯莉,韩佳宁,等.沣河流域生态环境质量的遥感评价及影响因子分析[J].生态与农村环境学报,2022,38(7):860-871. FENG R R, ZHANG K L, HAN J N, et al. Remote sensing evaluation and influence factor analysis of ecological environment quality in the Fenghe River watershed[J].Journal of Ecology and Rural Environment,2022,38(7):860-871.

杨绘婷,徐涵秋.基于遥感空间信息的武夷山国家级自然保护区植被覆盖度变化与生态质量评估[J].应用生态学报,2020,31(2):533-542. YANG H T, XU H Q. Assessing fractional vegetation cover changes and ecological quality of the Wuyi Mountain National Nature Reserve based on remote sensing spatial information[J].Chinese Journal of Applied Ecology,2020,31(2):533-542.

傅楷翔,贾国栋,余新晓,等.基于改进遥感生态指数的青藏公路那(曲)安(多)段生态环境评估及驱动机制分析[J].环境科学,2024,45(3):1586-1597. FU K X, JIA G D, YU X X, et al. Ecological environment assessment and driving mechanism analysis of Nagqu and amdo sections of Qinghai-Xizang highway based on improved remote sensing ecological index[J].Environmental Science,2024,45(3):1586-1597.

张伟,杜培军,郭山川,等.改进型遥感生态指数及干旱区生态环境评价[J].遥感学报,2023,27(2):299-317. ZHANG W, DU P J, GUO S C, et al. Enhanced remote sensing ecological index and ecological environment evaluation in arid area[J].National Remote Sensing Bulletin,2023,27(2):299-317.

XU D, YANG F, YU L, et al. Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data[J].Journal of Cleaner Production,2021,321:e128948.

LI W J, AN M, WU H L, et al. The local coupling and telecoupling of urbanization and ecological environment quality based on multisource remote sensing data[J].Journal of Environmental Management,2023,327:e116921.

ZHAO X Y, TAN S C, LI Y P, et al. Quantitative analysis of fractional vegetation cover in southern Sichuan urban agglomeration using optimal parameter geographic detector model, China[J].Ecological Indicators,2024,158:e111529.

张若婧,陈跃红,张晓祥,等.基于参数最优地理探测器的江西省山洪灾害时空格局与驱动力研究[J].地理与地理信息科学,2021,37(4):72-80. ZHANG R J, CHEN Y H, ZHANG X X, et al. Spatial-temporal pattern and driving factors of flash flood disasters in Jiangxi Province analyzed by optimal parameters-based geographical detector[J].Geography and Geo-Information Science,2021,37(4):72-80.

李琛,吴映梅,高彬嫔,等.高原湖泊乡村聚落空间分异及驱动力探测:以环洱海地区为例[J].经济地理,2022,42(4):220-229. LI C, WU Y M, GAO B P, et al. Spatial differentiation and driving factors of rural settlement in plateau lake:A case study of the area around the Erhai[J].Economic Geography,2022,42(4):220-229.

SONG Y Z, WANG J F, 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 and Remote Sensing,2020,57(5):593-610.

YAN Y B, CHAI Z Y, YANG X D, et al. The temporal and spatial changes of the ecological environment quality of the urban agglomeration on the northern slope of Tianshan Mountain and the influencing factors[J].Ecological Indicators,2021,133:e108380.

王永祥,徐园园,杨佳嘉,等.基于Landsat的重庆市生态环境质量动态监测及其时空格局演变分析[J].生态学报,2023,43(15):6278-6292. WANG Y X, XU Y Y, YANG J J, et al. Dynamic monitoring and spatio-temporal pattern evolution analysis of eco-environmental quality in Chongqing based on remote sensing[J].Acta Ecologica Sinica,2023,43(15):6278-6292.

李光哲,王浩,曹银璇,等.长株潭城市群生态环境质量时空演变及影响因素分析[J].自然资源遥感,2023,35(4):244-254. LI G Z, WANG H, CAO Y X, et al. Spatio-temporal evolution and influencing factors of ecological environment quality in the Changsha-Zhuzhou-Xiangtan urban agglomeration[J].Remote Sensing for Natural Resources,2023,35(4):244-254.

陈炜,黄慧萍,田亦陈,等.基于Google Earth Engine平台的三江源地区生态环境质量动态监测与分析[J].地球信息科学学报,2019,21(9):1382-1391. CHEN W, HUANG H P, TIAN Y C, et al. Monitoring and assessment of the eco-environment quality in the Sanjiangyuan Region based on google earth engine[J].Journal of Geo-Information Science,2019,21(9):1382-1391.

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 J F, XU C D. Geodetector: Principle and prospective[J].Acta Geographica Sinica,2017,72(1):116-134.

唐盼丽.基于RS和GIS的城市化与生态环境近远程耦合协调关系研究[D].武汉:武汉理工大学,2022. TANG P L. Local and telecoupling coordination relationship between urbanization and eco-environment based on RS and GIS[D].Wuhan: Wuhan University of Technology,2022.

李璇琼,梁延龙.地质灾害引发土地利用响应机制研究:以四川绵竹为例[J].西北地质,2022,55(1):236-248. LI X Q, LIANG Y L. Land use response mechanism caused by geological disaster: Taking Mianzhu City as an example[J].Northwestern Geology,2022,55(1):236-248.

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