1961-2023年新疆区域致灾冰雹日数时空特征及趋势预估OA
Spatial-temporal characteristics and trends of damaging hail days in Xinjiang during 1961-2023
致灾冰雹是影响新疆农业生产的关键因素,其时空特征的及时诊断可为新疆粮棉及特色林果安全生产保障提供科学支撑.采用M-K突变检验、EEMD及Hurst指数等方法,基于1961-2023年新疆致灾冰雹数据,探讨了新疆致灾冰雹日数时空分布及未来变化趋势.结果表明:(1)致灾冰雹日数空间格局呈西多东少,沿山带及河谷集聚.夏季>春季>秋季>冬季,其中高值中心以春季偏南、夏季北扩、秋季回缩方式迁移,春秋季最高中心在阿克苏地区,夏季及全年北移至温泉县;西部增长幅度相对较大.(2)过去63 a新疆致灾冰雹日数整体显著上升,夏季和6月增幅最大;年内呈"单峰型",7月上旬为峰值.(3)EEMD分解显示,全年及春、夏、秋季致灾冰雹日数主要存在准3a、6a、7a的年际周期和准13 a、16 a、21 a的年代际周期.(4)未来应重点关注博尔塔拉蒙古自治州、塔城地区等历史致灾冰雹高发且未来呈持续上升趋势的地区.研究结果可为新疆人工防雹作业布局优化、防雹减灾资源配置及农业种植结构调控提供科学依据.
Damaging hail significantly affects agricultural production in Xinjiang.Accordingly,timely diagnosis of its spatio-temporal characteristics is crucial for safeguarding grain,cotton,and specialty forest and fruit crops in the region.This study analyzed damaging hail data from 1961 to 2023,using methods such as the Mann-Kend-all(M-K)abrupt change test,ensemble empirical mode decomposition(EEMD),and the Hurst index.The aim is to investigate the spatio-temporal distribution and future trends of damaging hail days in Xinjiang.The results in-dicate that:(1)The spatial distribution of damaging hail days decreases from west to east,primarily concentrating along mountain foothills and river valleys.Seasonally,the distribution follows the order:summer>spring>au-tumn>winter.The highest center shifts southward in spring,expands northward in summer,and retracts in au-tumn.It peaks in Aksu Prefecture during spring and autumn but migrates northward to Wenquan County in sum-mer and annually.The western region exhibits a relatively greater increasing trend.(2)Over the past 63 years,Xinjiang has experienced a significant overall increase in damaging hail days,with the largest increase occurring in summer and June.The intra-annual distribution follows a unimodal pattern,peaking in early July.(3)EEMD decomposition reveals that damaging hail days,annually and in spring,summer,and autumn,primarily exhibit quasi-3-and quasi-6/7-year interannual cycles,alongside quasi-13/16/21-year interdecadal cycles.(4)Future hail prevention efforts should prioritize regions such as Bortala and Tacheng Prefectures,as these are historically high-incidence areas and show a continuous upward trend.These findings offer a scientific basis for optimizing the layout of artificial hail suppression operations,allocating hail prevention and mitigation resources,and adjust-ing agricultural planting structures in Xinjiang.
乌尔娜;史莲梅;蒋帅;黄荟;李圆圆;张磊
新疆维吾尔自治区人工影响天气中心,新疆 乌鲁木齐 830002||新疆维吾尔自治区人工影响天气工程技术研究中心,新疆 乌鲁木齐 830002新疆维吾尔自治区人工影响天气中心,新疆 乌鲁木齐 830002||新疆维吾尔自治区人工影响天气工程技术研究中心,新疆 乌鲁木齐 830002盐城市盐都区气象局,江苏 盐城 224055新疆维吾尔自治区人工影响天气中心,新疆 乌鲁木齐 830002||新疆维吾尔自治区人工影响天气工程技术研究中心,新疆 乌鲁木齐 830002新疆维吾尔自治区人工影响天气中心,新疆 乌鲁木齐 830002||新疆维吾尔自治区人工影响天气工程技术研究中心,新疆 乌鲁木齐 830002新疆维吾尔自治区阿克苏地区人工影响天气办公室,新疆 阿克苏 843000
致灾冰雹日数时空分布特征趋势预估集合经验模态分解(EEMD)新疆
damaging hail daystemporal and spatial distributiontrend projectionensemble empirical mode decomposition(EEMD)Xinjiang
《干旱区研究》 2026 (8)
1589-1602,14
中国气象局创新发展专项(CXFZ2024J034)新疆气象局科技创新发展基金项目(QN202609)新疆气象局引导性项目(YD2024020)新疆维吾尔自治区自然基金(2022D01A293)新疆维吾尔自治区重点研发计划项目(2023B03019-2)
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