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刘海新,崔明月,赵安周,白志辉,王冬利.2005—2015京津冀地区麦秸秆焚烧时空变化分析[J].河北工程大学自然版,2017,34(2):100-104
2005—2015京津冀地区麦秸秆焚烧时空变化分析
Spatiotemporal variation analysis of wheat straw burning during 2005—2015 in Beijing-Tianjin-Hebei Metropolitan Region
投稿时间:2017-03-07  
DOI:10.3969/j.issn.1673-9469.2017.02.020
中文关键词:  MODIS产品  麦秸秆焚烧点  时空变化分析  京津冀地区
英文关键词:MODIS products  wheat straw burning point  temporal and spatial variation  Beijing-Tianjin-Hebei metropolitan region
基金项目:河北省自然科学基金(D2015402134);河北省教育厅计划项目(QN2015105,QN2016234)
作者单位
刘海新 河北工程大学 矿业与测绘工程学院, 河北 邯郸 056038 
崔明月 河北工程大学 矿业与测绘工程学院, 河北 邯郸 056038;中国地质大学 地球科学与资源学院, 北京 100083 
赵安周 河北工程大学 矿业与测绘工程学院, 河北 邯郸 056038 
白志辉 冀中能源 峰峰集团, 河北 邯郸 056107 
王冬利 河北工程大学 矿业与测绘工程学院, 河北 邯郸 056038 
摘要点击次数: 211
全文下载次数: 90
中文摘要:
      为监测和分析京津冀地区麦收期间秸秆焚烧状况,并为麦秸秆焚烧治理提供辅助决策信息,以MODIS火点产品MOD14/MYD14和地表覆被产品MCD12Q1为基本数据源,提取2005—2015年6月麦秸秆焚烧点,并对其空间分布规律和时间变化趋势进行分析。研究结果表明:从空间分布来看,整个研究区6月麦秸秆焚烧以邯郸、邢台、衡水等地最为严重,并出现先少后多、先南后北的时空分布规律;从时间序列分析来看,11年的麦秸秆焚烧除奥运会举办年(2008年)最低,总体上处于上升趋势,且发生时间集中在6月中旬,整个6月来看,呈近似正态分布。
英文摘要:
      In order to monitor and analyze wheat straw burning of Beijing-Tianjin-Hebei Metropolitan Region during or after the wheat harvest, and provide the government abundant decision-making assistant information to forbid wheat straw burning, based on the fire products (MOD14/MYD14) and land cover products (MCD12Q1) of MODIS, the wheat straw burning points were extracted during the June of 2005-2015, and the patterns of spatiotemporal variation of wheat straw burning points were also investigated. The results showed that the wheat straw burning of the study area in June mainly concentrated in Handan, Xingtai and Hengshui were the most serious. The number of wheat straw burning points first decreased and then increased, and the wheat straw burning points showed a change trend from southeast to the northwest over time. Time series analysis indicated that number of wheat straw burning points had a general increase trend except hosted the Olympic Games (2008) during 2005-2015; the time of occurrence concentrated in mid-June, and the statistical figure of the whole June was similar to the normal distribution.
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