Journal of Guangxi Normal University(Natural Science Edition) ›› 2023, Vol. 41 ›› Issue (1): 200-212.doi: 10.16088/j.issn.1001-6600.2021101004

Previous Articles     Next Articles

Evaluation of Ecological Environment Quality in Guilin City Based on RSEI

XIN Wenjie1,2,3, MA Jiangming1,2,3*, WANG Yongqi1,2,3   

  1. 1. Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilization in Lijiang River Basin (Guangxi Normal University),Guilin Guangxi 541006, China;
    2. Institute for Sustainable Development and Innovation, Guangxi Normal University, Guilin Guangxi 541006, China;
    3. Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin Guangxi 541006, China
  • Received:2021-10-10 Revised:2021-12-17 Online:2023-01-25 Published:2023-03-07

Abstract: The assessment and monitoring of ecological environment quality is an important part of SDG15, and also an important indicator for the construction and performance evaluation of innovation demonstration zone of national sustainable development agenda. Based on the Landsat TM/OLI remote sensing image data of Guilin in 2001, 2006, 2015 and 2019, the improved remote sensing ecological index (RSEI) constructed by NDVI, WET, NDBSI and LST was calculated by principal component analysis. The ecological environment quality of Guilin from 2001 to 2019 was evaluated and monitored. The results showed that: RSEI could indicate the eco-environmental quality of Guilin city better. Among the single index factors, NDBSI has the greatest influence on eco-environmental quality, and LST was the least. From 2001 to 2019, the mean value of RSEI in Guilin increased from 0.51 to 0.65, with an increase of 27.45%. The regional ecological environment quality of 60.10% was getting better, and the improvement was mainly in one grade. The ecological environment of all districts and counties was improved, and the improvement was most prominent in Quanzhou County and Guanyang County. The mean value of RSEI of Quanzhou and Guanyang Counties increased by 0.184 and 0.182, respectively, and the proportion of the area with excellent and good ecological environment quality of the two counties increased by 38.42% and 35.27%, respectively. The spatial distribution pattern of eco-environmental quality in Guilin had an important relationship with the land use types and the regulation of spatial function zoning. The distribution of the worst and poor eco-environmental quality occupies the eco-spatial function area of Yangshuo County, and the eco-environmental monitoring and protection efforts need to be strengthened.

Key words: remote sensing based ecological index(RSEI), ecological environment quality, principal component analysis, Guilin, China

CLC Number: 

  • X826
[1] 梅卓华,方东,宋永忠,等. 南京城市生态环境质量评价指标体系研究[J]. 环境科学与技术,2005,28(3):81-82,95.
[2]胡习英,李海华,陈南祥. 城市生态环境评价指标体系与评价模型研究[J]. 河南农业大学学报,2006,40(3):270-273.
[3]刘清丽,陈友飞. 福州城市生态环境质量评价及问题分析[J]. 福建师范大学学报(自然科学版),2006,22(1):112-116.
[4]杨楠,王小文,卓悦. 陕南地区生态环境状况综合评价及对策[J]. 水土保持通报,2008,28(2):190-194.
[5]GUPTA K,KUMAR P,PATHAN S K,et al. Urban neighborhood green index: a measure of green spaces in urban areas[J]. Landscape and Urban Planning,2012,105(3):325-335.
[6]IVITS E,BUCHANAN G,OLSVIG-WHITTAKER L,et al. European farmland bird distribution explained by remotely sensed phenological indices[J]. Environmental Modeling & Assessment,2011,16(4):385.
[7]夏俊士,杜培军,张海荣,等. 基于遥感数据的城市地表温度与土地覆盖定量研究[J].遥感技术与应用,2010,25(1):15-23.
[8]方永侠,申双和,韩莹,等. 基于TM影像的不同季节北京城市热环境研究[J]. 气候与环境研究,2011,16(4):487-493.
[9]ZHANG Y S,ODEH I O A,HAN C F. Bi-temporal characterization of land surface temperature in relation to impervious surface area,NDVI and NDBI,using a sub-pixel image analysis[J]. International Journal of Applied Earth Observation and Geoinformation,2009,11(4):256-264.
[10]BADRELDIN N,GOSSENS R. A satellite-based disturbance index algorithm for monitoring mitigation strategies effects on desertification change in an arid environment[J]. Mitigation and Adaptation Strategies for Global Change,2015,20(2):263-276.
[11]王美雅,徐涵秋. 中外超大城市生态质量遥感评价[J]. 生态与农村环境学报,2021,37(9):1158-1167.
[12]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.
[13]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.
[14]张乃明,陈冬花,邢菲,等. 基于遥感生态指数的新疆干旱区博乐市生态变化分析[J]. 水土保持通报,2019,39(1): 154-159, 166.
[15]茹克亚·萨吾提,阿不都艾尼·阿不里,李虎,等. 基于遥感生态指数模型的阜康市生态环境动态变化监测与评价[J]. 水土保持研究,2020,27(1):283-289,297.
[16]徐涵秋. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J]. 遥感学报,2005,9(5):589-595.
[17]马志勇,沈涛,张军海,等. 基于植被覆盖度的植被变化分析[J]. 测绘通报,2007(3):45-48.
[18]成方妍,刘世梁,尹艺洁,等. 基于MODIS NDVI的广西沿海植被动态及其主要驱动因素[J]. 生态学报,2017,37(3):788-797.
[19]何国兴,韩天虎,柳小妮,等. 甘肃省草地植被NDVI时空变化特征及驱动因素研究[J]. 草地学报,2021,29(5): 1004-1013.
[20]BAIG M H A,ZHANG L F,SHUAI T,et al. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance[J]. Remote Sensing Letters,2014,5(5):423-431.
[21]RIKIMARU A,ROY P S,MIYATAKE S. Tropical forest cover density mapping[J]. Tropical Ecology,2002,43(1):39-47.
[22]XU H Q. A new index for delineating bulit-up land features in satellite imagery[J]. International Journal of Remote Sensing,2008,29(14): 4269-4276.
[23]丁凤,徐涵秋. TM热波段图像的地表温度反演算法与实验分析[J]. 地球信息科学,2006,8(3):125-130,135.
[24]伍健恒,孙彩歌,樊风雷. 高原地区城市不透水面与地表温度时空分布研究[J]. 华南师范大学学报(自然科学版),2020,52(3):92-100.
[25]覃志豪,李文娟,徐斌,等. 陆地卫星TM6波段范围内地表比辐射率的估计[J]. 国土资源遥感,2004(3):28-32,36-41,74.
[26]桂晨,潘川. 坚持生态引领桂林绿色发展再蓄动能: 2018年桂林市环境保护局全力推动生态环保提档升级工作点睛[N]. 桂林日报,2019-02-15(5).
[27]林学彻. 构筑长江中上游生态屏障[J]. 八桂侨刊,2004(3):46-47.
[28]朱柏露,杨奇勇,谢运球,等. 漓江流域土地石漠化空间分布及驱动因子分析[J]. 广西师范大学学报(自然科学版),2021,39(3):139-150.
[29]马艺芳,韩海荣. 旅游城市生态评价研究:以桂林市为例[J]. 生态经济,2009(5):52-55.
[30]鲍青青,刘胜峰. 喀斯特旅游地生态安全动态评价与障碍因子分析:以桂林为例[J]. 中国岩溶,2017,36(3):407-414.
[31]魏雨涵,钱建平,范伟伟,等. 基于RSEI的漓江流域生态环境质量动态监测[J]. 中国水土保持科学(中英文),2021,19(1):122-131.
[32]刘智才,徐涵秋,李乐,等. 基于遥感生态指数的杭州市城市生态变化[J]. 应用基础与工程科学学报,2015,23(4):728-739.
[33]农兰萍,王金亮. 基于RSEI模型的昆明市生态环境质量动态监测[J]. 生态学杂志,2020,39(6):2042-2050.
[34]缪鑫辉,梁勤欧. 基于遥感生态指数的甬江流域生态环境变化分析[J]. 长江流域资源与环境,2021,30(2):427-438.
[35]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.
[36]张华,宋金岳,李明,等. 基于GEE的祁连山国家公园生态环境质量评价及成因分析[J]. 生态学杂志,2021,40(6): 1883-1894.
[37]张娟,文广超,王恩营,等. 基于遥感生态指数的焦作市生态环境动态监测与评价[J]. 水土保持通报,2020,40(6): 107-114.
[1] BAI Defa, XU Xin, WANG Guochang. Review of Generalized Linear Models and Classification for Functional Data [J]. Journal of Guangxi Normal University(Natural Science Edition), 2022, 40(1): 15-29.
[2] HE Jianfeng, SHI Li. Sampling Method Based on Slice Inverse Regression in Big Data [J]. Journal of Guangxi Normal University(Natural Science Edition), 2022, 40(1): 91-99.
[3] ZHAO Xin , SONG Yingqiang, HU Yueming, LIU Yilun, ZHU Axing. Optimizing Spatial Distribution of Residential Areas by Using Multi-Source Open Data [J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(1): 26-40.
[4] TANG Zhenjun. Image Hashing Algorithm Based on PCA Feature Distance [J]. Journal of Guangxi Normal University(Natural Science Edition), 2016, 34(4): 9-18.
[5] LIU Huimin, GUAN Dongjie, ZHANG Mengjie. Stress Factorsand Stress Mechanism on Subsequent Developmentof Ecological Security in the Three Gorges Reservoir Area [J]. Journal of Guangxi Normal University(Natural Science Edition), 2016, 34(3): 150-158.
[6] PU Ling, LI Hai-chao, PU Yu, JIANG Hong-xia. Principal Component Analysis of Trace Elements in 12 Commonly Used Chinese Herbal Medicines [J]. Journal of Guangxi Normal University(Natural Science Edition), 2014, 32(4): 96-100.
[7] HE Xi, LI Xu, ZHOU Wei, LI Qi-sheng. Morphologic Differentiation of Garra imberba from Different Population [J]. Journal of Guangxi Normal University(Natural Science Edition), 2013, 31(4): 128-133.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LI Qing, WANG Luyu, ZHANG Zuxu, CHEN Huiming. Two New Spider Species (Arachnida, Araneae) fromFanjingshan National Nature Reserve, Guizhou, China[J]. Journal of Guangxi Normal University(Natural Science Edition), 2018, 36(4): 119 -123 .
[2] CHEN Danni, CHEN Zhilin, ZHOU Shanyi. A Checklist of Family Formicidae of China: Myrmecinae (Addendum) (Insect: Hymenoptera)[J]. Journal of Guangxi Normal University(Natural Science Edition), 2021, 39(1): 87 -97 .
[3] LIU Zhenyu, SONG Shuxiang, CEN Mingcan, JIANG Pinqun, CAI Chaobo. Modeling and Design of Low Power and High Precision Sigma-Delta Modulator[J]. Journal of Guangxi Normal University(Natural Science Edition), 2022, 40(2): 58 -70 .
[4] ZHANG Shichao, LI Jiaye. Knowledge Matrix Representation[J]. Journal of Guangxi Normal University(Natural Science Edition), 2022, 40(5): 36 -48 .
[5] LU Hanglin, SHAO Laipeng, ZHAN Fan, TANG Jian, LI Yuanpeng, WANG Yongmei, HU Junhui. Sensing Mechanism and Applications of Mach-Zehnder Interferometer Optical Fiber Sensors[J]. Journal of Guangxi Normal University(Natural Science Edition), 2022, 40(6): 1 -17 .
[6] ZOU Qi-jie, ZHANG Ru-bo. Framework of Unmanned System with Adjustable Autonomy[J]. Journal of Guangxi Normal University(Natural Science Edition), 2010, 28(3): 191 -197 .
[7] SHI Jiang-tao, ZHANG Cui, MENG Wei. A Note on Conjugate Maximal Subgroups[J]. Journal of Guangxi Normal University(Natural Science Edition), 2010, 28(1): 10 -12 .
[8] ZHONG Xiaoyun. Mittag-Leffler Projective Synchronization of Fractional Order Newton-Leipnik Systems[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(1): 113 -121 .