Characterizing spatio-temporal patterns of multi-scalar drought risk in mainland China

Drought is complex geographical elements, which endangers China's food security, with coexistence of spatial and temporal heterogeneity and similarity. Thus, the recent abnormal characteristics of Chinese droughts warrant further study. This paper proposes a three-step framework to identify the...

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Autores principales:	Shuai Zhou, Yimin Wang, Ziyan Li, Jianxia Chang, Aijun Guo, Kai Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Spatial auto-correlation Drought frequency Drought duration Drought intensity Mainland China Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/0b08f1a28cf74e5584bf959960401231
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id	oai:doaj.org-article:0b08f1a28cf74e5584bf959960401231
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spelling	oai:doaj.org-article:0b08f1a28cf74e5584bf9599604012312021-12-01T05:00:25ZCharacterizing spatio-temporal patterns of multi-scalar drought risk in mainland China1470-160X10.1016/j.ecolind.2021.108189https://doaj.org/article/0b08f1a28cf74e5584bf9599604012312021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21008542https://doaj.org/toc/1470-160XDrought is complex geographical elements, which endangers China's food security, with coexistence of spatial and temporal heterogeneity and similarity. Thus, the recent abnormal characteristics of Chinese droughts warrant further study. This paper proposes a three-step framework to identify the spatiotemporal evolution characteristics of drought events in China Mainland, using the standardized precipitation evapotranspiration index (SPEI) at different time scales (1, 6 and 12 months). And then the drought characteristics are separated using the run theory. Finally, the spatiotemporal evolution patterns of meteorological, agricultural and hydrological drought risk in distance are investigated based on the geographic statistics analysis method (i.e., global and local Moran's index). Results show that the drought trend is gradually increasing in some basins, especially the Yellow River Basin, the Hai River Basin and the Southwest River Basins. The multi-variate attributes of drought characteristics in spatiotemporal evolution patterns at different time scales have the characteristics of regularity and mutation, for example, the drought frequency in northwestern China shows a low values in a low value neighbourhood, but the drought duration and intensity shows a high values in a high value neighbourhood. This indicates that the hydrological drought disaster in the region is extremely prominent. In addition, the risk of drought in inland River basins is the highest, followed by the Hai River basin and the Yellow River basin; the Pearl River basin has the lowest. Our results offer insights into the development of drought in China and provide support for disaster risk assessment and response planning.Shuai ZhouYimin WangZiyan LiJianxia ChangAijun GuoKai ZhouElsevierarticleSpatial auto-correlationDrought frequencyDrought durationDrought intensityMainland ChinaEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108189- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Spatial auto-correlation Drought frequency Drought duration Drought intensity Mainland China Ecology QH540-549.5
spellingShingle	Spatial auto-correlation Drought frequency Drought duration Drought intensity Mainland China Ecology QH540-549.5 Shuai Zhou Yimin Wang Ziyan Li Jianxia Chang Aijun Guo Kai Zhou Characterizing spatio-temporal patterns of multi-scalar drought risk in mainland China
description	Drought is complex geographical elements, which endangers China's food security, with coexistence of spatial and temporal heterogeneity and similarity. Thus, the recent abnormal characteristics of Chinese droughts warrant further study. This paper proposes a three-step framework to identify the spatiotemporal evolution characteristics of drought events in China Mainland, using the standardized precipitation evapotranspiration index (SPEI) at different time scales (1, 6 and 12 months). And then the drought characteristics are separated using the run theory. Finally, the spatiotemporal evolution patterns of meteorological, agricultural and hydrological drought risk in distance are investigated based on the geographic statistics analysis method (i.e., global and local Moran's index). Results show that the drought trend is gradually increasing in some basins, especially the Yellow River Basin, the Hai River Basin and the Southwest River Basins. The multi-variate attributes of drought characteristics in spatiotemporal evolution patterns at different time scales have the characteristics of regularity and mutation, for example, the drought frequency in northwestern China shows a low values in a low value neighbourhood, but the drought duration and intensity shows a high values in a high value neighbourhood. This indicates that the hydrological drought disaster in the region is extremely prominent. In addition, the risk of drought in inland River basins is the highest, followed by the Hai River basin and the Yellow River basin; the Pearl River basin has the lowest. Our results offer insights into the development of drought in China and provide support for disaster risk assessment and response planning.
format	article
author	Shuai Zhou Yimin Wang Ziyan Li Jianxia Chang Aijun Guo Kai Zhou
author_facet	Shuai Zhou Yimin Wang Ziyan Li Jianxia Chang Aijun Guo Kai Zhou
author_sort	Shuai Zhou
title	Characterizing spatio-temporal patterns of multi-scalar drought risk in mainland China
title_short	Characterizing spatio-temporal patterns of multi-scalar drought risk in mainland China
title_full	Characterizing spatio-temporal patterns of multi-scalar drought risk in mainland China
title_fullStr	Characterizing spatio-temporal patterns of multi-scalar drought risk in mainland China
title_full_unstemmed	Characterizing spatio-temporal patterns of multi-scalar drought risk in mainland China
title_sort	characterizing spatio-temporal patterns of multi-scalar drought risk in mainland china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/0b08f1a28cf74e5584bf959960401231
work_keys_str_mv	AT shuaizhou characterizingspatiotemporalpatternsofmultiscalardroughtriskinmainlandchina AT yiminwang characterizingspatiotemporalpatternsofmultiscalardroughtriskinmainlandchina AT ziyanli characterizingspatiotemporalpatternsofmultiscalardroughtriskinmainlandchina AT jianxiachang characterizingspatiotemporalpatternsofmultiscalardroughtriskinmainlandchina AT aijunguo characterizingspatiotemporalpatternsofmultiscalardroughtriskinmainlandchina AT kaizhou characterizingspatiotemporalpatternsofmultiscalardroughtriskinmainlandchina
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Characterizing spatio-temporal patterns of multi-scalar drought risk in mainland China

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