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生态学杂志 ›› 2021, Vol. 40 ›› Issue (4): 1177-1185.doi: 10.13292/j.1000-4890.202104.021

• 研究报告 • 上一篇    下一篇

基于改进的遥感生态指数的北京市门头沟区生态环境质量评价

程琳琳1*,王振威1,田素锋2,柳亚彤1,孙梦尧1,杨玉曼1   

  1. 1中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083;2山东沃土勘察设计股份有限公司, 山东东营 257500)
  • 出版日期:2021-04-10 发布日期:2021-04-14

Evaluation of eco-environmental quality in Mentougou District of Beijing based on improved remote sensing ecological index.

CHENG Lin-lin1*, WANG Zhen-wei1, TIAN Su-feng2, LIU Ya-tong1, SUN Meng-yao1,YANG Yu-man1   

  1. (1China University of Mining and Technology (Beijing ), College of Geoscience and Surveying Engineering, Beijing 100083, China; 2ShandongWotu Survey and Design Co. Ltd, Dongying 257500, Shandong, China).
  • Online:2021-04-10 Published:2021-04-14

摘要: 以2001、2006、2010、2014和2018年的Landsat影像为数据源,采用熵权法计算权重并用指数和法计算遥感生态指数(RSEI),结合GM(1,1)模型,研究北京市门头沟区的生态环境质量变化及其原因,预测未来变化趋势。结果表明:2001、2006、2010、2014和2018年门头沟的RSEI分别为0.5993、0.5451、0.5592、0.6113和0.716,呈现“先下降,后上升”的趋势;生态环境质量“优”、“良”地区的土地利用多以林地和灌木林地为主,“差”和“较差”地区的土地利用以裸地、城市和道路为主;2001—2006年,采矿活动是导致RSEI下降的主要原因。2006年以来,城镇化对门头沟区生态环境质量产生一定的负面影响,但重点工程使生态环境质量得以改善;京津风沙源治理工程对改善门头沟生态环境质量的效果较为显著。对生态环境质量的可视化表达,可以较好地反映生态环境质量的变化情况,为维护生态平衡提供更好的支撑。

关键词: 熵权法, 遥感生态指数, GM(1,1)模型, 门头沟区

Abstract: Based on data derived from Landsat images in 2001, 2006, 2010, 2014, and 2018, we calculated the weight of selected indices using the entropy weight method and  the remote sensing ecological index (RSEI) using the index weighted sum method. Combined with GM (1,1) model, we analyzed the dynamics of eco-environmental quality and its causes in Mentougou District of Beijing and predicted the future trend. The results showed that the RSEI of Mentougou in 2001, 2006, 2010, 2014 and 2018 were 0.5993, 0.5451, 0.5592, 0.6113 and 0.716, respectively, displaying a trend of “decline first and then rise”. The areas with “excellent” and “good” eco-environmental quality were mainly forestland and shrub land. “Inferior” and “poor” areas were dominated by bare land, urban land use and roads. Mining activity was the main cause for the decline of RSEI from 2001 to 2006. Since 2006, urbanization had negative impacts on the eco-environmental quality of Mentougou District. Some key projects had improved the ecoenvironmental quality. The Beijing-Tianjin sandstorm source control project had a remarkable positive effect on the eco-environmental quality of Mentougou. The visual expression of eco-environmental quality can better reflect the changes of eco-environmental quality and provide better support for the maintenance of ecological balance.

Key words: entropy weight method, remote sensing ecological index, GM (1,1) model, Mentougou district.