首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >STUDY ON DESERTIFICATION MONITORING FROM 2000 TO 2014 AND ITS DRIVING FACTORS THROUGH REMOTE SENSING IN NINGXIA,CHINA
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STUDY ON DESERTIFICATION MONITORING FROM 2000 TO 2014 AND ITS DRIVING FACTORS THROUGH REMOTE SENSING IN NINGXIA,CHINA

机译:宁夏2000-2014年荒漠化监测及其驱动因素的遥感研究。

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Due to the implementation of national policy, the desertification in Ningxia has been gradually reduced, but the overall situation of desertification is still serious. Rainfall Use Efficiency(RUE) can make some improvement to the problem that the precipitation has a great influence on vegetation in arid area and fully reflect the dynamic characteristics of desertification. Using the MOD13Q1 data, land use classification map, as well as non-remote sensing data such as meteorological data and social statistics data, the paper carries out the evaluation of the status of desertification based on RUE through spatial trend analysis, gravity center migration model. The driving factors of desertification are quantitatively analyzed by using grey relational analysis. Our study demonstrated that RUE in most parts of Ningxia showed a trend of improvement, mainly located in central and southern Ningxia. The area where desertification occurred from 2000 to 2014 accounted for 7.79?%, mainly distributed in Helan Mountain, Liupan Mountain, Yinchuan Central. The proportion of desertification decreased gradually from 2005 to 2014, and the center of gravity of desertification had a tendency to migrate to northern Ningxia. By analyzing the driving factors, RUE had negative correlations with precipitation and relative humidity and there was no significant correlation between RUE and average temperature and sunshine hours. RUE was positively correlated with GDP, grain yield and number of sheep. On the basis of the results of grey relational analysis, it was found that sunshine hours, average temperature, relative humidity, population were the main influencing factors of desertification.
机译:由于国家政策的实施,宁夏的荒漠化已逐渐减少,但荒漠化总体形势仍然严峻。降雨利用效率(RUE)可以改善降雨对干旱地区植被的影响,并充分体现沙漠化的动态特征。利用MOD13Q1数据,土地利用分类图以及气象,社会统计等非遥感数据,通过空间趋势分析,重心迁移模型,基于RUE进行荒漠化现状评价。 。运用灰色关联分析法定量分析了荒漠化的驱动因素。我们的研究表明,宁夏大部分地区的RUE呈改善趋势,主要位于宁夏中部和南部。 2000年至2014年发生荒漠化的地区占7.79%,主要分布在贺兰山,六盘山和银川中部。从2005年到2014年,荒漠化的比例逐渐下降,荒漠化的重心有向宁夏北部迁移的趋势。通过分析驱动因素,RUE与降水和相对湿度呈负相关,RUE与平均温度和日照时间之间无显着相关。 RUE与GDP,谷物产量和绵羊数量呈正相关。根据灰色关联分析的结果,发现日照时间,平均温度,相对湿度,人口是荒漠化的主要影响因素。

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