Study on Regional Eco-Environmental Quality Evaluation Considering Land Surface and Season Differences: A Case Study of Zhaotong City

被引:7
|
作者
Ji, Jianwan [1 ]
Tang, Zhanzhong [2 ,3 ]
Jiang, Linlin [1 ]
Sheng, Tian [1 ]
Zhao, Fei [4 ]
Zhang, Rui [5 ]
Shifaw, Eshetu [6 ]
Liu, Wenliang [7 ]
Li, Huan [1 ]
Liu, Xinhan [8 ]
Lu, Huiyuan [1 ]
机构
[1] Suzhou Univ Sci & Technol, Sch Geog Sci & Geomat Engn, Suzhou 215009, Peoples R China
[2] Xingtai Univ, Coll Resources & Environm, Xingtai 054001, Peoples R China
[3] Xingtai Key Lab Geoinformat & Remote Sensing Techn, Xingtai 054001, Peoples R China
[4] China Satellite Commun Co Ltd, Beijing 100190, Peoples R China
[5] Chinese Acad Sci, Northwest Inst Eco Environm & Resources, Lanzhou 730000, Peoples R China
[6] Wollo Univ, Dept Geog & Environm Studies, POB 1145, Dessie, Ethiopia
[7] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
[8] Nanjing Tech Univ, Sch Geomat Sci & Technol, Nanjing 211816, Peoples R China
关键词
eco-environmental comprehensive evaluation index; ecological index; spatiotemporal analyses; Zhaotong; JI URBAN AGGLOMERATION; ECOLOGICAL QUALITY; CHINA; PATTERN; AREA;
D O I
10.3390/rs15030657
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Timely and quantitatively evaluating regional eco-environmental quality (EEQ) is of great significance for realizing regional sustainable development goals. Especially for cloudy areas, it was a great challenge to construct a regional EEQ dataset with high quality and high resolution. However, existing studies failed to consider the influence of land surface and season elements in evaluating regional EEQ. Therefore, this study aimed to promote an accurate EEQ-evaluating framework for cloudy areas. Zhaotong city, a typical karst and cloudy region, was chosen as the study area. First, we integrated multi-source spatiotemporal datasets and constructed a novel eco-environmental comprehensive evaluation index (ECEI) to assess its EEQ from 2000 to 2020. Next, standard deviation ellipse (SDE) and trend analysis methods were applied to investigate regional EEQ's change trends. Finally, ecological index (EI) values for different years were calculated to validate the effectivity of the ECEI. The main findings were as follows: (1) The EEQ of Zhaotong showed an upward-fluctuating trend (0.0058 a(-1)), with average ECEI values of 0.729, 0.693, 0.722, 0.749, and 0.730. (2) The spatial distribution pattern of the EEQ showed high values in the north and low values in the south, with Zhaoyang district having the lowest ECEI value. (3) From 2000 to 2020, the standard deviation of the major axis of the ellipse moved northeast of Zhaotong city with theta of SDE changing from 57.06 degrees to 62.90 degrees, thus, indicating the improvement of northeastern regions' EEQ. (4) The coefficients of the determinant (R-2) between the EI and ECEI were 0.84, which was higher than that of EI-RSEI (R-2 = 0.56). This indicated that our promoted framework and the ECEI could acquire more accurate EEQ results and provide suggestions for relevant policymakers.
引用
收藏
页数:22
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