近17年新疆干旱时空分布特征及影响因素
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安徽师范大学研究生科研创新与实践项目(2018kycx051)


Spatial and temporal distribution characteristics of drought and its relationship with meteorological factors in Xinjiang in last 17 years
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The Research Culture Funds of Anhui Normal University (2018kycx051)

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    摘要:

    新疆是我国西北区重要的粮食和商品棉生产基地,受地理环境的影响,干旱频发,给社会经济及农业生产造成了巨大的损失。基于MODIS遥感数据和气象数据,估算温度植被干旱指数(Temperature Vegetation Dryness Index,TVDI),分析新疆2000-2016年干旱的年际、年内时空变化特征及其与气象因子的关系,结果表明:1) TVDI可以有效地描述新疆的干旱状况,适用于对该地区进行干旱监测;2)2000-2016年间新疆TVDI空间分布具有较强的地域分异性,呈现为天山山脉以北及昆仑山脉地区较湿润,塔里木盆地地区较干旱,新疆TVDI多年均值为0.751,整体上处于中旱状态。年内TVDI季节空间分布差异显著,不同季节的干旱程度大小为:夏季 > 春季 > 秋季 > 冬季;3)新疆各地州TVDI年内月变化整体上呈现为先增加后降低的趋势,最小值在1月(0.267),最大值在6月(0.930),在14个地州中,伊犁哈萨克、阿勒泰和博尔塔拉多年间基本处于无旱状态;4)17年间不同土地利用类型干旱程度表现为林地 < 草地 < 建筑用地 < 耕地,干旱类型转移的主要特点为无旱类型转入和轻旱类型、中旱类型、重旱类型、特旱类型转出;5)新疆干旱动态变化与地形、气温、降雨量以及太阳辐射等因子密切相关,其中非气象因子影响所占比例最大,降雨量与气温综合影响占面积较小,气象因子中降雨量影响所占面积较大,因此,在气象因子中新疆干旱主要受降雨的影响。

    Abstract:

    Xinjiang is an important grain and commodity cotton production base in northwest China. Affected by the geographical environment, the frequent droughts have caused great losses to social economy and agricultural production. Based on MODIS remote sensing data and the meteorological data, this paper estimated the Temperature Vegetation Dryness Index (TVDI), and analyzed the inter-annual and intra-annual variation characteristics of drought in Xinjiang from 2000 to 2016, as well as the relationship between drought and meteorological factors. The results show that:1) the TVDI could effectively describe the drought situation in Xinjiang and was suitable for drought monitoring in this region. 2) From 2000 to 2016, the spatial distribution of the TVDI showed strong regional differentiation, showing that the areas north of the Tianshan Mountains and Kunlun Mountains were relatively humid, while the Tarim Basin was relatively dry. The perennial mean value of Xinjiang TVDI was 0.751, indicating that Xinjiang was in a state of moderate drought. The seasonal spatial distribution of TVDI within one year was significantly different. The drought degree in different seasons was in order of summer > spring > autumn > winter. 3) The monthly variation of TVDI in Xinjiang showed a trend of increasing firstly and then decreasing, with the minimum value in January (0.267) and the maximum value in June (0.930). Among the 14 prefectures, Ili, Kazakhstan, Altay and, Boltala were basically drought-free for many years. 4) The drought degree of different land use types in last 17 years was expressed as woodland < grassland < building land < cultivated land. The main characteristics of drought type transfer were the increase of no drought type areas and the decrease of light drought type, moderate drought type, heavy drought type, and special drought type areas. 5) The dynamic change of drought in Xinjiang was closely related to topography, temperature, rainfall, solar radiation, etc. Among them, non-meteorological factors had the largest proportion, and rainfall and temperature had less impact. Among the meteorological factors, the area affected by rainfall was relatively large, so the drought in Xinjiang was mainly affected by rainfall.

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黄静,张运,汪明秀,王芳,汤志,何好.近17年新疆干旱时空分布特征及影响因素.生态学报,2020,40(3):1077~1088

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