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三维视角下黄淮海平原干旱时空演变特征分析OA

Spatiotemporal evolution of drought in the Huang-Huai-Hai Plain from a three-dimensional perspective

中文摘要英文摘要

为从三维视角揭示黄淮海平原地区干旱时空演变特征,该研究基于该地区1960-2020年102个站的日气象数据和土壤特性数据,计算了月尺度帕默尔干旱指数、自校准帕默尔干旱指数、标准化降水指数和标准化降水蒸散指数,采用干旱过程三维动态分析法识别了4种干旱指数下的干旱事件,并以干旱历时、烈度、强度、最大干旱面积等特征变量表征.通过对比4种干旱指数识别的干旱事件与实际旱情的匹配程度,筛选最适宜该地区的干旱指数.基于该最优指数提取干旱事件特征值,以此揭示地区干旱的时空演变规律.结果表明:1)自校准帕默尔干旱指数在黄淮海平原地区的适用性最高,61a间共识别干旱事件89场,最长历时达13个月,最大烈度达6.3×i04.2)时间尺度上,1960-2002年干旱事件发生较为集中,最大干旱面积与峰值强度整体较高,严重干旱主要出现在1964-1968年、1977-1983年和1993-2002年,其中最大干旱面积达到6.9×105km2,占研究区面积的88.4%;2003年后干旱事件峰值强度呈下降趋势.空间尺度上,干旱事件重心主要分布于研究区中北部,长历时、高烈度事件占比较高,其他地区以短历时、低烈度事件为主.干旱事件重心整体以向北和西南方向迁移为主,其中正北方向存在迁移距离超过1 200km的长距离干旱事件.3)严重干旱事件具有空间聚集特征,其干旱事件的重心呈现由中部向北向迁移的特点,而一般干旱事件呈多源分散特性,表现为由西南向东北的扇形扩散特点.该研究可为黄淮海平原地区的灾害预警和风险管理提供理论依据和技术支撑.

This study aims to clarify the spatiotemporal evolution of drought in the Huang-Huai-Hai Plain of China.A systematic investigation was implemented on the long-term drought dynamics using multi-index comparison and three-dimensional event identification.The regional drought characteristics were explored to determine the most suitable drought indicator for the specific plains from 1960 to 2020.Daily meteorological observations were taken from 102 stations,together with the regional soil properties.Four drought indices were calculated monthly:Palmer Drought Severity Index(PDSI),Self-Calibrating Palmer Drought Severity Index(scPDSI),Standardized Precipitation Index(SPI),and Standardized Precipitation Evapotranspiration Index(SPEI).A three-dimensional dynamic drought identification was employed to merge spatially adjacent drought grids over successive months,thereby constructing continuous spatiotemporal drought volumes.Each identified event was used to extract the duration,cumulative severity,mean intensity,maximum affected area,and centroid migration distance.The performance of four indices was evaluated to compare the identified events with documented historical drought records and disaster statistics.The most suitable index was selected for spatiotemporal analysis.Among four indices,scPDSI shared the highest applicability for the Huang-Huai-Hai Plain,as it most consistently matched historical drought occurrences and regional hydroclimatic conditions.Furthermore,89 independent drought events were identified over the 61-year period using scPDSI.The longest event persisted for 13 months,while the maximum cumulative severity reached 6.3×104.Temporally,drought events were concentrated during 1960-2002,accompanied by relatively large maximum affected areas and high peak intensities.The frequency,peak intensity and duration of drought events declined markedly after 2003.These indicators weakened markedly after 2003,indicating the regional wetting.Severe drought episodes were concentrated during three major periods:1964-1968,1977-1983,and 1993-2002.The maximum affected area reached 6.9× 105 km2during extreme cases,accounting for 88.4%of the total study area.Spatially,there was outstanding heterogeneity.Specifically,the north-central region,particularly the Beijing-Tianjin-Hebei area,was identified as the epicenter of long-duration and high-severity drought events.In contrast,the southern portion of the plain was characterized by the shorter and lower-intensity incidents.Northward-moving droughts were typically large-scale events with the migration distances exceeding 960 km.Conversely,southwestward migration was dominated by localized droughts with displacement distances ranging from 0 to 720 km.Furthermore,the heavy drought events exhibited obvious spatial clustering characteristics,where their centroids gradually shifted from the central plain toward the northern regions over time.In contrast,ordinary drought events displayed multi-source dispersion,with a fan-shaped expansion from the southwest to the northeast.Overall,the three-dimensional dynamic identification can effectively capture the continuity and migration of drought events for the temporal trends and spatial heterogeneity in drought evolution,thus providing for a more integrated representation than conventional static approaches.The post-2003 wetting tendency and directional migration were identified as a significant shift in the regional drought behavior.The scPDSI can be adopted for long-term monitoring in the Huang-Huai-Hai Plain.These findings can provide technical support for regional drought early warning and risk prevention.

周玉良;凌翔宇;周平;金涛;金菊良;崔毅

合肥工业大学土木与水利工程学院,合肥 230009||合肥工业大学水利人工智能与水安全联合共建实验室,合肥 230009合肥工业大学土木与水利工程学院,合肥 230009||合肥工业大学水利人工智能与水安全联合共建实验室,合肥 230009合肥工业大学土木与水利工程学院,合肥 230009||合肥工业大学水利人工智能与水安全联合共建实验室,合肥 230009合肥工业大学土木与水利工程学院,合肥 230009||合肥工业大学水利人工智能与水安全联合共建实验室,合肥 230009合肥工业大学土木与水利工程学院,合肥 230009||合肥工业大学水利人工智能与水安全联合共建实验室,合肥 230009合肥工业大学土木与水利工程学院,合肥 230009||合肥工业大学水利人工智能与水安全联合共建实验室,合肥 230009

天文与地球科学

干旱三维动态分析法时空演变自校准帕默尔干旱指数标准化降水蒸散指数黄淮海平原

droughtthree-dimensional dynamic analysisspatiotemporal evolutionself-calibrating Palmer drought severity index(scPDSI)standardized precipitation evapotranspiration index(SPEI)Huang-Huai-Hai Plain

《农业工程学报》 2026 (13)

184-192,9

国家自然科学基金项目(5237900642271084)安徽省自然科学基金项目(2308085US132408055US007)

10.11975/j.issn.1002-6819.202602133

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