| 时间: 2021-11-10 | 次数: |
李园园, 王藏姣, 雷少刚,等.基于BFAST算法的神东矿区地表温度突变检测及影响分析[J].河南理工大学学报（自然科学版）,2021,40(6):92-100.
LI Y Y, WANG C J, LEI S G, et al.Detection and impact analysis of land surface temperature abrupt change in Shendong mining area based on BFAST algorithm[J].Journal of Henan Polytechnic University(Natural Science) ,2021,40(6):92-100.
基于BFAST算法的神东矿区地表温度突变检测及影响分析
李园园1,2, 王藏姣1,2, 雷少刚1,2, 郭洋楠3
1.中国矿业大学 国土资源研究所，江苏 徐州 221116;2.矿山生态修复教育部工程研究中心，江苏 徐州 221116;3.神华神东煤炭集团有限责任公司煤炭技术研究院，陕西 神木 719315
摘要:为获取神东矿区地表温度长期变化趋势，提取其地表温度突变特征，以2000—2018年16 d地表温度最大值合成的MOD11A2为数据源，对神东矿区地表温度进行回归分析，拟合其时序变化趋势，并利用BFAST算法（breaks for additive seasonal and trend）提取地表温度突变的时空分布特征、最大突变发生时间和突变幅度。在此基础上，通过空间叠加统计方法分析地表温度突变与土地覆被变化之间的关系。结果表明：2000—2018年，由于神东矿区整体植被覆盖度增加，矿区内98.63％的区域地表温度呈下降趋势；露天采区地表温度突变比例高于井工采区，露天采区和井工采区内地表温度突变面积占比分别为34.66％和19.02％，归因于露天开采比井工开采对地表扰动更加剧烈；土地覆被变化引起地表温度突变，地表温度突变方向和幅度取决于土地覆被变化的类型、规模等。研究结果可为矿区生态环境治理及评价提供科学依据。
关键词:地表温度突变;BFAST算法;MOD11A2;神东矿区
doi:10.16186/j.cnki.1673-9787.2020040016
基金项目:中国神华能源股份有限公司神东煤炭分公司科技创新项目（201991548012）；国家科技基础性工作专项项目 （2014FY110800）
收稿日期:2020/04/06
修回日期:2020/06/07
出版日期:2021/11/15
Detection and impact analysis of land surface temperature abrupt change in Shendong mining area based on BFAST algorithm
LI Yuanyuan 1,2, WANG Cangjiao 1,2, LEI Shaogang 1,2, GUO Yangnan3
1.Institute of Land and Resources， China University of Mining and Technology ，Xuzhou 221116， Jiangsu， China;2.Engineering Research Center of Mine Ecological Restoration， Ministry of Education， Xuzhou 221116 ， Jiangsu， China;3.Coal Technology Research Institute， Shenhua Shendong Coal Group Co. ， Ltd. ，Shenmu 719315 ， Shaanxi， China
Abstract:In order to obtain the long-term change trend of the surface temperature in the Shendong mining are-a ， and to extract the characteristics of abrupt changes in the surface temperature ， MOD11A2 synthesized by 16 day maximum temperature from 2000 to 2018 was used as the data source to perform regression analysis and to fit the changing trend of time series of land surface temperature in Shendong mining area. The BFAST algorithm （breaks for additive seasonal and trend ）was used to extract the temporal and spatial distribution characteristics of land surface temperature abrupt change ， the maximum abrupt occurrence time ， and the abrupt magnitude. On this basis ， the relationship between abrupt change of land surface temperature and land cover change was analyzed by means of spatial superposition statistics. The results showed that:From 2000 to 2018 ， due to the increase in overall vegetation coverage in the Shendong mining area ，98.63% of land surface temperature in themining area showed a downward trend； The land surface temperature abrupt change ratio in open pit mining area was higher than that in underground mining area ， the proportions of land surface temperature abrupt change area in open mining area and underground mining area were 34.66% and 19.02% respectively ， which was at-tributed to the fact that open pit mining had more disturbance to the surface than underground mining； Land surface temperature abrupt change was caused by land cover change ， however ， the direction and magnitude of land surface temperature change depended on factors such as the type and scale of land cover change. The re-search results could provide a scientific basis for ecological environment management and evaluation in mining area.
Key words:land surface temperature abrupt change;BFAST algorithm;MOD11A2;Shendong mining area
