黄石市生态环境质量时空变化及驱动因子分析

doi:10.13474/j.cnki.11-2246.2025.0424

摘要/Abstract

摘要： 对黄石市生态环境质量进行准确评价对其城市转型具有重要意义。选取间隔为5年的多期Landsat 5 TM、Landsat 8 OLI影像和其他遥感数据产品,通过实现耦合湿度、绿度、干度和热度的遥感生态指数(RSEI),对黄石市进行生态环境质量监测。并采用莫兰指数探究生态环境质量的空间自相关,利用地理探测器探索影响生态环境质量的驱动因子。结果表明,RSEI均值呈现先下降后上升的趋势,2004年为最高,达到0.563,2009年最低,值为0.518;黄石市中部和南部生态环境质量较为优秀,铁山区和大冶市生态环境质量较差;黄石市生态环境质量的空间集聚程度先上升后下降,2009年最高,2019年最低;坡度和土地利用在黄石市生态环境质量影响因子中占主导地位,多因子交互作用解释力高于单因子。黄石市的生态环境保护政策总体而言是有效的,生态环境质量在逐渐变好,但仍需做好全域土地整治,从整体上优化国土空间结构和布局。

Abstract: An accurate evaluation of the ecological quality of Huangshi is imperative for its urban transformation. Multi-period Landsat 5 TM, Landsat 8 OLI imagery, and other remotely sensed data products with 5 year intervals are selected through the implementation of a remotely sensed ecological index coupling moisture, greenness, dryness, and heat. This approach is selected to assess the ecological environment quality in Huangshi city. The Moran's index is employed to examine the spatial autocorrelation of ecosystem quality, and geoprobes are utilized to investigate the drivers affecting ecosystem quality.The results show that, the mean value of RSEI shows a trend of decreasing and then increasing, with the highest in 2004, reaching 0.563, and the lowest in 2009, with a value of 0.518.the ecological environment quality in the central and southern part of Huangshi city is more excellent, and the ecological environment quality in Tieshan district and Daye city is worse; and the spatial agglomeration degree of the ecological environment quality in Huangshi city firstly rises and then decreases, with the highest in 2009 and the lowest in 2019; Slope and land use dominate among the factors affecting ecological environment quality in Huangshi city, and the explanatory power of multi-factor interaction is higher than that of single factor. Ecological environmental protection policies in Huangshi have been found to be generally effective, with the quality of the ecological environment undergoing a gradual improvement. However, further efforts are necessary to address land remediation in the entire region and to optimize the spatial structure and layout of the national territory as a whole.

Key words: remote sensing ecological index, spatial autocorrelation, geodetector, Huangshi city, ecological environment quality

中图分类号:

P208

陈子谋, 王新驰, 郭靖. 黄石市生态环境质量时空变化及驱动因子分析[J]. 测绘通报, 2025, 0(4): 145-151.

CHEN Zimou, WANG Xinchi, GUO Jing. Analysis of spatial and temporal variations and driving factors of ecological environment quality in Huangshi city[J]. Bulletin of Surveying and Mapping, 2025, 0(4): 145-151.

参考文献

[1] 董佳奇,闫敏,左合君,等.库布齐沙漠生态敏感性GIS分析与评价[J].测绘通报,2024(7): 117-122.
[2] 许友芹,朱广祥,李小鹏,等.2001—2018年长三角城市群城市化与生态环境耦合协调度变化监测[J].测绘通报,2023(2):21-27.
[3] 姚囝,王云株,柯丽华.资源枯竭型城市复合系统协同转型演化机制研究: 以黄石市为例[J].中国矿业,2023,32(1): 67-75.
[4] 查世凡,鞠芳坭,丁云翮,等.基于生态足迹法的黑龙江省林场所生态安全研究[J].科学技术与工程,2022,22(36): 15987-15993.
[5] 彭璐,谭波,齐瑶娣,等.海峡西岸城市群人居环境质量评价研究[J].台湾农业探索,2017(4): 58-65.
[6] 柳力玮,刘艳军,辛奕霖,等.东北老工业基地城市收缩对生态环境质量演变的影响效应[J].地理科学,2024,44(7): 1237-1248.
[7] LI Jianhua,PEI Wenjuan,LI Yuehan,et al.Evaluating and diagnosing ecosystem health of the“three-lake”watershed in Yuxi,Yunnan,China from 2010 to 2020 by PSR-KDE[J].Environmental Research,2024,258: 119406.
[8] ZHANG Ping,YANG Lianwei,MA Wenjie,et al.Spatiotemporal estimation of the PM2.5 concentration and human health risks combining the three-dimensional landscape pattern index and machine learning methods to optimize land use regression modeling in Shaanxi,China[J].Environmental Research,2022,208: 112759.
[9] 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.
[10] 王新驰,鲁铁定,龚循强,等.基于改进遥感生态指数的南昌市生态环境质量监测与评价[J].科学技术与工程,2023,23(35): 15319-15327.
[11] YANG Yijia,LI Huiying,QIAN Cheng.Analysis of the implementation effects of ecological restoration projects based on carbon storage and eco-environmental quality: a case study of the Yellow River Delta,China[J].Journal of Environmental Management,2023,340:117929.
[12] 陈兵兵,盖迎春,宋忠航,等.祁连山地区生态质量时空变化及驱动力[J].中国沙漠,2024,44(6):258-267.
[13] 朝力格尔,兴安,阿如旱,等.基于改进型遥感生态指数的干旱区生态环境评价: 以阴山北麓内蒙古武川县为例[J].应用生态学报,2024,35(7): 1907-1914.
[14] 王灿,王嘉琛.中国历史GDP空间分布公里网格数据集[EB/OL].[2024-12-28].https://doi.org/10.12078/2017121101.
[15] 徐新良.中国GDP空间分布公里网格数据集[EB/OL].[2024-12-28].https://www.resdc.cn/DOI/doi.aspx？DOIid=33.
[16] YANG Jie,HUANG Xin.The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J].Earth System Science Data,2016,13(8):3907-3925.
[17] 焦晓萌,张兵,高阳,等.利用改进型遥感生态指数的岩溶区生态环境质量评价[J].测绘通报,2024(4): 54-60.
[18] 葛石冰,宋晓君,陈润,等.近30年天山北坡改进型遥感生态指数时空变化及驱动因素[J/OL].生态与农村环境学报,2023: 1-17.(2023-11-27)[2024-12-28].http://kns.cnki.net/KCMS/detail/detail.aspx？filename=NCST20231123001&dbname=CJFD&dbcode=CJFQ.
[19] 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.