摘要
为了解准南煤田水西沟火区地表温度及植被覆盖变化情况及趋势,本文选取1998—2018年夏季Landsat影像数据,运用单窗算法和像元二分模型反演准南煤田水西沟火区地表温度和植被覆盖度情况,结合实际人工阈值法和调研资料提取温度异常区面积和一级植被覆盖区域面积,采用灰色预测GM(1,1)模型对其变化特征进行预测分析。结果表明:在时间尺度上,研究区最高温度、最低温度、平均温度和温度阈值变化趋势具有明显的相关性。温度异常区西部向东南方向扩展,中部向西北方向,并且不断向东西方向延伸,东部面积明显减少。一级植被覆盖度面积受温度异常区面积影响较大,总体波动变化,1998—2018年均呈现增长趋势。GM(1,1)模型结果表明:在预测期内,温度异常区面积和一级植被覆盖度面积呈现正比关系,随着温度异常区面积的增大,一级植被覆盖度呈现增加趋势。
In order to understand the surface temperature and vegetation coverage changes and trends in the Shuixigou fire area of the Junggar coalfield,Landsat image data in the summer of from 1998 to 2018 are selected,and retrieved by a single-window algorithm and pixel dichotomy model to get the surface temperature and vegetation coverage of the Shuixigou fire area in the southern Junggar coalfield,and combined the artificial threshold method and survey data to extract temperature anomaly area and first-level vegetation coverage area.The GM(1,1)is used to predict and analyze its change characteristics.The results show that the maximum temperature,minimum temperature,average temperature,and temperature threshold changes in the study area have obvious correlations on the time scale.West in temperature anomaly area extended to the southeast,the center to the northwest,and keeps extending to the east-west,but the area of the east decreased significantly.The area of first-level vegetation coverage is greatly affected by the temperature anomaly area,and the overall fluctuation changes,showing an increasing trend from 1998 to 2018.The results of the GM(1,1)show that during the forecast period,the area of temperature anomaly area and the area of primary vegetation coverage are in a positive relationship.As the area of temperature anomaly area increases,the area of primary vegetation coverage shows an increasing trend.
作者
杨洁
曾强
YANG Jie;ZENG Qiang(College of Resources and Environmental Sciences,Xinjiang University,Urumqi 830046,China;Institute of Arid Ecology and Environment,Xinjiang University,Urumqi 830046,China;Key Laboratory of Oasis Ecology of Ministry of Education,Urumqi 830046,China)
出处
《中国矿业》
2021年第4期229-235,共7页
China Mining Magazine
基金
新疆国际合作项目资助(编号:2018E01011)
国家重点研发计划项目资助(编号:2018YFC0807901)。
