以国产高分辨率影像数据作为数据源,结合气象站点观测数据,利用光能利用率模型对蔚县煤矿区2013—2015年各季节的植被净初级生产力(net primary productivity,NPP)进行估算。分析该区域NPP的季节性变化以及各年7月的土地利用变化情况,对NPP与各气象因子进行相关性分析,探究研究区域不同植被类型NPP季节性变化的影响因素。结果表明,在中部和南部人文居住环境区,降水量为NPP的主导影响因素;而在北部无人为干扰的山区,太阳辐射和温度为其主导因素。
The government has paid much attention to impacts of mining on the ecological environment of the mine, and anumber of studies have been done on damages mining has brought about to vegetation in mining areas. Based on domestichigh resolution remote sensing image data in combination with the observation data of the meteorological stations in the region, estimation was performed of net primary productivity (NPP) of the vegetation in the mining area of Yuxian Countyfrom 2013 to 2015 with the carnegie ames stanford approach (CASA). Seasonal variation of NPP of the region and changesin land use in July of each of the past three years were analyzed, and correlations between NPP and various climate factorswere also analyzed to explore formain factors affecting seasonal variation of the NPP relative to type of the vegetation. Mainfactors affecting NPP varied with the type of vegetation, and the type of mining activities as well. Analysis of dependencerelativity between NPP and climate variables in July of 2013, 2014 and 2015 reveals that precipitation is the main factoraffecting NPP in the center and south of the county, where is mining and residential quarters are concentrated, while solarradiation and temperature is the major one in the north of the county, where mountains dominate and are less disturbed byhuman activities.