基于多源数据的区域生态环境质量时空演变及驱动因素分析——以河源市为例

Spatiotemporal Evolution and Its Driving Factors of Regional Ecological Environmental Quality Based on Multi-Source Data: A Case Study of Heyuan City

  • 摘要: 生态环境质量监测与评估是自然资源管理与保护的基础,也是推动区域生态可持续发展的关键。为了系统评估粤北地区生态环境质量,文章以河源市为研究区,利用多源数据分析河源市2013—2021年生态环境质量时空演变特征及其驱动因素。基于Google Earth Engine (GEE)云平台,选取2013、2017、2021年3期Landsat 8 OLI影像,结合MODIS数据、气象数据和土地利用数据等,采用遥感生态指数(RSEI)和莫兰指数(Moran's I)分析河源市生态环境质量的时空特征和变化趋势,并结合地理探测器揭示研究时段内影响河源市生态环境质量的主要因素。结果表明:(1)2013、2017、2021年研究区的RSEI均值都保持在0.7左右,其中RSEI等级良好以上的区域始终保持在70%以上,RSEI等级改善的区域也始终高于20%,这表明研究区总体生态环境质量较好;(2)河源市生态环境质量存在显著的空间自相关,其中“高-高”聚类区主要分布在连平、东源、紫金县,“低-低”聚类区主要集中在源城区、连平县与东源县交界及龙川县南部;(3)基于地理探测器的生态环境质量驱动因子分析表明,干度、绿度和湿度是影响河源市生态环境质量变化的主要因素,且各因子间存在双因子增强关系。研究结果可为区域生态资源的合理利用和保护提供科学依据,服务于粤北地区内陆城市的高质量发展。

     

    Abstract: Monitoring and evaluation of ecological environmental quality (EEQ) is the basic content of ecological resource management and protection, and a key to promoting regional ecological sustainable development. To systema-tically evaluate the ecological and environmental quality of northern Guangdong, Heyuan City is taken as the study area to assess the spatiotemporal characteristics of EEQ and its driving factors from 2013 to 2021 using multi-source data. Based on the Google Earth Engine (GEE) platform, three periods of Landsat 8 OLI imagery in 2013, 2017 and 2021 were selected, along with MODIS data, meteorological data and land-use data. The spatio-temporal characteristics and trends of EEQ in Heyuan City were analyzed by using Remote Sensing Ecological Index (RSEI) and Moran's Index(Moran's I), and the driving factors of EEQ in Heyuan City were further explored by using geo-detectors. Results indicated that: (1) the mean RSEI of the study area stays around 0.7 in 2013, 2017 and 2021, and the EEQ is generally better; the areas with the RSEI in good and excellent are higher than 70%; the areas with the RSEI grade in improvement are higher than 20%; (2) there is significant spatial autocorrelation of EEQ in Heyuan City, the high-high clusters are mainly distributed in Lianping County, Dongyuan County and Zijin County, while the low-low clusters are mainly concentrated in the Yuancheng District, the junction of Lianping County and Dongyuan County, and the southern part of Longchuan County; (3) the analysis of driving factors of EEQ based on geo-detectors showed that the dryness, greenness, and humidity are the key factors influencing the change of EEQ in Heyuan City, and there exists a dual-factor enhancement relationship among various factors. These findings provide a scientific basis for the utilization and protection of regional ecological resources, and facilitate the high-quality development of the inland cities in the northern part of Guangdong Province.

     

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