气候变化领域集成服务门户(CCPortal): Drought monitoring based on a new combined remote sensing index across the transitional area between humid and arid regions in China

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DOI	10.1016/j.atmosres.2021.105850
	Drought monitoring based on a new combined remote sensing index across the transitional area between humid and arid regions in China
	Zhang, Yu; Liu, Xiaohong; Jiao, Wenzhe; Zeng, Xiaomin; Xing, Xiaoyu; Zhang, Lingnan; Yan, Jianwu; Hong, Yixue
通讯作者	Liu, XH (通讯作者)，Shaanxi Normal Univ, Sch Geog & Tourism, West Changan St 620, Xian 710119, Shaanxi, Peoples R China.
发表日期	2021
ISSN	0169-8095
EISSN	1873-2895
卷号	264
英文摘要	As the most frequent and longest-lasting climate-related disasters, droughts are complex processes caused by hydrological imbalance, and have significant effects on ecosystem function and socioeconomic development. However, most conventional satellite-based drought indices and combined drought indices are mechanically constrained by the fact that they were developed and evaluated for a specific climate or critical ecological region, especially in China. A comprehensive drought index should be developed for extensive application in different climate-hydrology regions. To address this problem, an optimised principal component analysis method (PCARF) was proposed to support drought assessment across the transitional area between the humid and arid regions in central China, including the Loess Plateau (LP) and Qinling Mountains (QL). This method eliminated the causal relationships of non-linear changes for multi-aspect parameters such as land surface temperature, precipitation and soil moisture, and was used in developing a new index named Meteorological drought index by PCA-RF methods (PMDI). The results showed that PMDI had higher correlations and lower root mean square error than other drought indices (established using the empirical-weights method) with the 1-month standardized precipitation evapotranspiration index (SPEI-1). That means PMDI performed well in meteorological drought monitoring. Additionally, the normalized difference vegetation index (NDVI) and solar-induced chlorophyll fluorescence (SIF) were utilised to evaluate PMDI effectiveness in detecting vegetation response to drought, which represents agricultural drought. The results indicated that correlations between PMDI and vegetation indices (VIs) were stronger when severe or extreme droughts occurred, and that their relationships were affected by the high spatiotemporal heterogeneity in vegetation change over the LP and QL. Overall, PMDI was shown here to be a very suitable index for monitoring meteorological drought (short-term) and has effective action in capturing the response of vegetation signals to agriculture drought events (long-term). Given the excellent performance of PMDI in diverse climate-hydrology conditions of our study regions, we concluded that the PMDI has considerable potential as a drought monitoring methodology on a larger spatial scale.
关键词	AGRICULTURAL DROUGHT METEOROLOGICAL DROUGHT VEGETATION PRECIPITATION NDVI TEMPERATURE EVAPORATION MECHANISMS PROGRESS IMPACTS
英文关键词	Drought monitoring; Remote sensing; Loess Plateau; Qinling Mountains
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000703560200001
来源期刊	ATMOSPHERIC RESEARCH
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254981
作者单位	[Zhang, Yu; Liu, Xiaohong; Zeng, Xiaomin; Zhang, Lingnan; Yan, Jianwu; Hong, Yixue] Shaanxi Normal Univ, Sch Geog & Tourism, West Changan St 620, Xian 710119, Shaanxi, Peoples R China; [Liu, Xiaohong] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China; [Jiao, Wenzhe] Indiana Univ Purdue Univ Indianapolis IUPUI, Dept Earth Sci, Indianapolis, IN 46202 USA; [Xing, Xiaoyu] Qinling Natl Bot Garden, Xian 710061, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yu,Liu, Xiaohong,Jiao, Wenzhe,et al. Drought monitoring based on a new combined remote sensing index across the transitional area between humid and arid regions in China[J]. 中国科学院西北生态环境资源研究院,2021,264.
APA	Zhang, Yu.,Liu, Xiaohong.,Jiao, Wenzhe.,Zeng, Xiaomin.,Xing, Xiaoyu.,...&Hong, Yixue.(2021).Drought monitoring based on a new combined remote sensing index across the transitional area between humid and arid regions in China.ATMOSPHERIC RESEARCH,264.
MLA	Zhang, Yu,et al."Drought monitoring based on a new combined remote sensing index across the transitional area between humid and arid regions in China".ATMOSPHERIC RESEARCH 264(2021).