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Assessing the Drought Variability in Northeast China over Multiple Temporal and Spatial Scales
Long-term drought variation provides a scientific foundation for water resource planning and drought mitigation. However, the spatiotemporal variation characteristics of drought in northeast China (NEC) are unclear. We conducted a comprehensive assessment of drought status and trends based on the St...
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Published in: | Atmosphere 2022-09, Vol.13 (9), p.1506 |
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description | Long-term drought variation provides a scientific foundation for water resource planning and drought mitigation. However, the spatiotemporal variation characteristics of drought in northeast China (NEC) are unclear. We conducted a comprehensive assessment of drought status and trends based on the Standardized Precipitation Evapotranspiration Index (SPEI) in NEC from 1990 until 2018. The findings show that: (1) the drying trend peaked in 2001, and then exhibited a mitigation tendency before drying again after 2013. The implementation of ecological restoration projects is primarily responsible for drought mitigation. (2) The areas with wetting and drying trends in the future would cover 86% and 17% of NEC, respectively. (3) There is a time lag between improved vegetation and the trend shift from dry to wet. (4) Spring and winter revealed wet trends within 71% and 84% of NEC, respectively, showing high sensitivity and resilience to drought, while 92–93% of NEC displayed dry tendencies during the summer and autumn seasons. The drought-affected area was the highest in summer and lowest in autumn. (5) The interannual drought severity was highest in May and June. (6) The highest drought impacts and trends occur within shrub and grass and sparsely vegetated land, as well as middle-temperate semiarid regions (M-semiarid). (7) The warmer the temperature zone, the more sensitive it is towards drought under the same hydrological conditions, showing a high drought-affected area. The drier the land, the higher the drought-affected area within the same temperature zone, with pronounced drought trends during the spring and summer seasons. Our findings highlight the need for the government to more explicitly develop drought mitigation strategies in accordance with NEC’s spatiotemporal drought variations and specifically the need to concentrate on droughts in M-semiarid regions occurring in summer, particularly in May and June. |
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However, the spatiotemporal variation characteristics of drought in northeast China (NEC) are unclear. We conducted a comprehensive assessment of drought status and trends based on the Standardized Precipitation Evapotranspiration Index (SPEI) in NEC from 1990 until 2018. The findings show that: (1) the drying trend peaked in 2001, and then exhibited a mitigation tendency before drying again after 2013. The implementation of ecological restoration projects is primarily responsible for drought mitigation. (2) The areas with wetting and drying trends in the future would cover 86% and 17% of NEC, respectively. (3) There is a time lag between improved vegetation and the trend shift from dry to wet. (4) Spring and winter revealed wet trends within 71% and 84% of NEC, respectively, showing high sensitivity and resilience to drought, while 92–93% of NEC displayed dry tendencies during the summer and autumn seasons. The drought-affected area was the highest in summer and lowest in autumn. (5) The interannual drought severity was highest in May and June. (6) The highest drought impacts and trends occur within shrub and grass and sparsely vegetated land, as well as middle-temperate semiarid regions (M-semiarid). (7) The warmer the temperature zone, the more sensitive it is towards drought under the same hydrological conditions, showing a high drought-affected area. The drier the land, the higher the drought-affected area within the same temperature zone, with pronounced drought trends during the spring and summer seasons. Our findings highlight the need for the government to more explicitly develop drought mitigation strategies in accordance with NEC’s spatiotemporal drought variations and specifically the need to concentrate on droughts in M-semiarid regions occurring in summer, particularly in May and June.</description><identifier>ISSN: 2073-4433</identifier><identifier>EISSN: 2073-4433</identifier><identifier>DOI: 10.3390/atmos13091506</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Autumn ; China ; Climate change ; climate region ; Cold ; Drought ; drought area ; drought trend ; Drought trends ; Droughts ; Drying ; Ecological restoration ; Ecosystems ; Environmental aspects ; Environmental impact ; Environmental restoration ; Evapotranspiration ; Evapotranspiration-precipitation relationships ; Forecasts and trends ; Grasses ; Hydrologic drought ; Hydrology ; Land area ; land cover type ; Management ; Mitigation ; multi-time scales ; Mutation ; Precipitation ; Precipitation (Meteorology) ; Rain ; Regression analysis ; Semi arid areas ; Semiarid lands ; Semiarid zones ; SPEI ; Spring ; Spring (season) ; Summer ; Temperature ; Time lag ; Time series ; Trends ; Variation ; Vegetation ; Water ; Water resources ; Water resources planning ; Water shortages ; Wetting</subject><ispartof>Atmosphere, 2022-09, Vol.13 (9), p.1506</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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However, the spatiotemporal variation characteristics of drought in northeast China (NEC) are unclear. We conducted a comprehensive assessment of drought status and trends based on the Standardized Precipitation Evapotranspiration Index (SPEI) in NEC from 1990 until 2018. The findings show that: (1) the drying trend peaked in 2001, and then exhibited a mitigation tendency before drying again after 2013. The implementation of ecological restoration projects is primarily responsible for drought mitigation. (2) The areas with wetting and drying trends in the future would cover 86% and 17% of NEC, respectively. (3) There is a time lag between improved vegetation and the trend shift from dry to wet. (4) Spring and winter revealed wet trends within 71% and 84% of NEC, respectively, showing high sensitivity and resilience to drought, while 92–93% of NEC displayed dry tendencies during the summer and autumn seasons. The drought-affected area was the highest in summer and lowest in autumn. (5) The interannual drought severity was highest in May and June. (6) The highest drought impacts and trends occur within shrub and grass and sparsely vegetated land, as well as middle-temperate semiarid regions (M-semiarid). (7) The warmer the temperature zone, the more sensitive it is towards drought under the same hydrological conditions, showing a high drought-affected area. The drier the land, the higher the drought-affected area within the same temperature zone, with pronounced drought trends during the spring and summer seasons. Our findings highlight the need for the government to more explicitly develop drought mitigation strategies in accordance with NEC’s spatiotemporal drought variations and specifically the need to concentrate on droughts in M-semiarid regions occurring in summer, particularly in May and June.</description><subject>Autumn</subject><subject>China</subject><subject>Climate change</subject><subject>climate region</subject><subject>Cold</subject><subject>Drought</subject><subject>drought area</subject><subject>drought trend</subject><subject>Drought trends</subject><subject>Droughts</subject><subject>Drying</subject><subject>Ecological restoration</subject><subject>Ecosystems</subject><subject>Environmental aspects</subject><subject>Environmental impact</subject><subject>Environmental restoration</subject><subject>Evapotranspiration</subject><subject>Evapotranspiration-precipitation relationships</subject><subject>Forecasts and trends</subject><subject>Grasses</subject><subject>Hydrologic drought</subject><subject>Hydrology</subject><subject>Land area</subject><subject>land cover type</subject><subject>Management</subject><subject>Mitigation</subject><subject>multi-time scales</subject><subject>Mutation</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Rain</subject><subject>Regression analysis</subject><subject>Semi arid areas</subject><subject>Semiarid lands</subject><subject>Semiarid zones</subject><subject>SPEI</subject><subject>Spring</subject><subject>Spring (season)</subject><subject>Summer</subject><subject>Temperature</subject><subject>Time lag</subject><subject>Time series</subject><subject>Trends</subject><subject>Variation</subject><subject>Vegetation</subject><subject>Water</subject><subject>Water resources</subject><subject>Water resources planning</subject><subject>Water shortages</subject><subject>Wetting</subject><issn>2073-4433</issn><issn>2073-4433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVUU1PHDEMHVVUKgKOvUfqeSCJMx85rrYtIFF6gPbYyJNxdrOanUyTLBL_vqFbVWAfbL08P9txVX0U_BJA8yvM-5AEcC0a3r6rTiXvoFYK4ORV_qG6SGnHiykNEtRp9WuVEqXk5w3LW2KfYzhstpn9xOhx8JPPz8zP7D7E8oops_XWz8jCE0X27TBlv0zEHmm_hIgTw3lkDwtmX_IHixOl8-q9wynRxb94Vv34-uVxfVPffb--Xa_uaqu4zrVUAwnedDh02qmGoJG91VKose_k0EJvsR8swag60WLB3AjYctsVxtBqB2fV7VF3DLgzS_R7jM8moDd_gRA3BmP2diJDQOBahFFwV76kR0GtVCCttW3PR160Ph21lhh-HyhlswuHOJfxjSztVd9Lrgvr8sjalD2Nn13IEW3xkfbehpmcL_iqU42UQuuXgvpYYGNIKZL7P6bg5uWE5s0J4Q8Qjo5P</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Xue, Lin</creator><creator>Kappas, Martin</creator><creator>Wyss, Daniel</creator><creator>Putzenlechner, Birgitta</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3173-4870</orcidid><orcidid>https://orcid.org/0000-0003-2210-8461</orcidid><orcidid>https://orcid.org/0000-0002-5663-581X</orcidid><orcidid>https://orcid.org/0000-0001-7203-4929</orcidid></search><sort><creationdate>20220901</creationdate><title>Assessing the Drought Variability in Northeast China over Multiple Temporal and Spatial Scales</title><author>Xue, Lin ; 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However, the spatiotemporal variation characteristics of drought in northeast China (NEC) are unclear. We conducted a comprehensive assessment of drought status and trends based on the Standardized Precipitation Evapotranspiration Index (SPEI) in NEC from 1990 until 2018. The findings show that: (1) the drying trend peaked in 2001, and then exhibited a mitigation tendency before drying again after 2013. The implementation of ecological restoration projects is primarily responsible for drought mitigation. (2) The areas with wetting and drying trends in the future would cover 86% and 17% of NEC, respectively. (3) There is a time lag between improved vegetation and the trend shift from dry to wet. (4) Spring and winter revealed wet trends within 71% and 84% of NEC, respectively, showing high sensitivity and resilience to drought, while 92–93% of NEC displayed dry tendencies during the summer and autumn seasons. The drought-affected area was the highest in summer and lowest in autumn. (5) The interannual drought severity was highest in May and June. (6) The highest drought impacts and trends occur within shrub and grass and sparsely vegetated land, as well as middle-temperate semiarid regions (M-semiarid). (7) The warmer the temperature zone, the more sensitive it is towards drought under the same hydrological conditions, showing a high drought-affected area. The drier the land, the higher the drought-affected area within the same temperature zone, with pronounced drought trends during the spring and summer seasons. 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subjects | Autumn China Climate change climate region Cold Drought drought area drought trend Drought trends Droughts Drying Ecological restoration Ecosystems Environmental aspects Environmental impact Environmental restoration Evapotranspiration Evapotranspiration-precipitation relationships Forecasts and trends Grasses Hydrologic drought Hydrology Land area land cover type Management Mitigation multi-time scales Mutation Precipitation Precipitation (Meteorology) Rain Regression analysis Semi arid areas Semiarid lands Semiarid zones SPEI Spring Spring (season) Summer Temperature Time lag Time series Trends Variation Vegetation Water Water resources Water resources planning Water shortages Wetting |
title | Assessing the Drought Variability in Northeast China over Multiple Temporal and Spatial Scales |
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