Spatiotemporal Characteristics of Droughts and Floods in Shandong Province,China and Their Relationship with Food Loss

Mastering the pattern of food loss caused by droughts and floods aids in planning the layout of agricultural production,determining the scale of drought and flood control projects,and reducing food loss.The Standardized Precipitation Evapotranspiration Index is calculated using monthly meteorological data from 1984 to 2020 in Shandong Province of China and is used to identify the province’s drought and flood characteristics.Then,food losses due to droughts and floods are estimated separately from disaster loss data.Finally,the relationship between drought/flood-related factors and food losses is quantified using methods such as the Pearson correlation coefficient and linear regression.The results show that:1)there is a trend of aridity in Shandong Province,and the drought characteristic variables are increasing yearly while flood duration and severity are decreasing.2)The food losses caused by droughts in Shandong Province are more than those caused by floods,and the area where droughts and floods occur frequently is located in Linyi City.3)The impact of precipitation on food loss due to drought/flood is significant,followed by potential evapotranspiration and temperature.4)The relationship between drought and flood conditions and food losses can be precisely quantified.The accumulated drought duration of one month led to 1.939×10^(4)t of grain loss,and an increase in cumulative flood duration of one month resulted in1.134×10^(4)t of grain loss.If the cumulative drought severity and average drought peak increased by one unit,food loss due to drought will increase by 1.562×10^(4)t and 1.511×10^(6)t,respectively.If the cumulative flood severity and average flood peak increase by one unit,food loss will increase by 8.470×103t and 1.034×10^(6)t,respectively.

Spatial and Temporal Characteristics of Drought and Flood in Quanzhou Based on Standardized Precipitation Index (SPI) in Recent 55 Years

To analyze the characteristics of drought and flood variations in Quanzhou during recent 55 years, the standardized precipitation index (SPI) and Empirical Orthogonal Function (EOF) and Rotated Empirical Orthogonal Function (REOF) were calculated by using the monthly precipitation data from 6 meteorological bureaus across Quanzhou for 1960-2014. Results showed that: 1) During 1960-2014, the drought and flood showed Periodic variation characteristics in Quanzhou, the specific period of frequent drought was 1963-1972, 1977-1986 and 2009-2011, and the specific period of frequent flood was 1961-1962, 1972-1975, 1990-1992 and 1997-2007;the drought and flood did not have significant tendency of variation in Spring and Summer, and the drought and flood showed a non-significant downward trend in Autumn and Winter. 2) The drought and flood variation had relatively consistent trend in Quanzhou, but there was a big difference on the northwest mountainous area, the middle semi-mountainous area and the southeast coast area in some periods. 3) The precipitation cell and distribution in every season were Nan’an and Anxi, but there was a big difference in rainfall less area: it was Yongchun and Dehua in Spring, Chongwu and Jinjiang in Summer, Chongwu in Autumn, Dehua and Chongwu in Winter.

Development of a Meteorological and Hydrological Coupling Index for Droughts and Floods along the Yangtze River Valley of China

To comprehensively investigate characteristics of summer droughts and floods in the Yangtze River valley, a meteorological and hydrological coupling index （MHCI） was developed using meteorological and hydro- logical data. The results indicate that： （1） in representing drought/flood information for the Yangtze River valley, the MHCI can reflect composite features of precipitation and hydrological observations; （2） compre- hensive analysis of the interannual phase difference of the precipitation and hydrological indices is important to recognize and predict annual drought/flood events along the valley; the hydrological index contributes more strongly to nonlinear and continuity features that indicate transition from long-term drought to flood conditions; （3） time series of the MHCI from 1960-2009 are very effective and sensitive in reflecting annual drought/flood characteristics, i.e. there is more rainfall or typical flooding in the valley when the MHCI is positive, and vice versa; and （4） verification of the MHCI indicates that there is significant correlation between precipitation and hydrologic responses in the valley during summer; the correlation coefficient was found to reach 0.82, exceeding the 0.001 significance level.

Drought and flood characteristics in the farmingpastoral ecotone of northern China based on the Standardized Precipitation Index

The farming-pastoral ecotone of northern China(FPENC)provides an important ecological barrier which restrains the invasion of desert into Northwest China.Studying drought and flood characteristics in the FPENC can provide scientific support and practical basis for the protection of the FPENC.Based on monthly precipitation data from 115 meteorological stations,we determined the changes in climate and the temporal and spatial variations of drought and flood occurrence in the FPENC during 1960-2020 using the Standardized Precipitation Index(SPI),Morlet wavelet transform,and inverse distance weighted interpolation method.Annual precipitation in the FPENC showed a slightly increasing trend from 1960 to 2020,with an increasing rate of about 1.15 mm/a.The interannual SPI exhibited obvious fluctuations,showing an overall non-significant upward trend(increasing rate of 0.02/a).Therefore,the study area showed a wetting trend in recent years.Drought and flood disasters mainly occurred on an interannual change cycle of 2-6 and 9-17 a,respectively.In the future,a tendency towards drought can be expected in the FPENC.The temporal and spatial distribution of drought and flood differed in the northwestern,northern,and northeastern segments of the FPENC,and most of the drought and flood disasters occurred in local areas.Severe and extreme drought disasters were concentrated in the northwestern and northeastern segments,and severe and extreme flood disasters were mainly in the northeastern segment.Drought was most frequent in the northwestern segment,the central part of the northeastern segment,and the northern part of the northern segment.Flood was most frequent in the western part of the northwestern segment,the eastern part of the northeastern segment,and the eastern and western parts of the northern segment.The accurate evaluation of the degrees of drought and flood disasters in the FPENC will provide scientific basis for the regional climate study and critical information on which to base decisions regarding environmental protection and socio-economic development in this region.

Regional Climate Index for Floods and Droughts Using Canadian Climate Model (CGCM3.1)

The impacts of climate change on the discharge regimes in New Brunswick (Canada) were analyzed, using artificial neural network models. Future climate data were extracted from the Canadian Coupled General Climate Model (CGCM3.1) under the greenhouse gas emission scenarios B1 and A2 defined by the Intergovernmental Panel on Climate Change (IPCC). The climate change fields (temperatures and precipitation) were downscaled using the delta change approach. Using the artificial neural network, future river discharge was predicted for selected hydrometric stations. Then, a frequency analysis was carried out using the Generalized Extreme Value (GEV) distribution function, where the parameters of the distribution were estimated using L-moments method. Depending on the scenario and the time slice used, the increase in low return floods was about 30% and about 15% for higher return floods. Low flows showed increases of about 10% for low return droughts and about 20% for higher return droughts. An important part of the design process using frequency analysis is the estimation of future change in floods or droughts under climate scenarios at a given site and for specific return periods. This was carried out through the development of Regional Climate Index (RCI), linking future floods and droughts to their frequencies under climate scenarios B1 and A2.

Future Changes of Drought and Flood Events in China under a Global Warming Scenario

This study investigates the impact of global warming on drought/flood patterns in China at the end of the 21st century based on the simulations of 22 global climate models and a regional climate model(RegCM3) under the SRES(Special Report on Emissions Scenarios) A1B scenario.The standardized precipitation index(SPI),which has well performance in monitoring the drought/flood characteristics(in terms of their intensity,duration,and spatial extent) in China,is used in this study.The projected results of 22 coupled models and the RegCM3 simulation are consistent.These models project a decrease in the frequency of droughts in most parts of northern China and a slight increase in the frequency in some parts of southern China.Considering China as a whole,the spatial extents of droughts are projected to be significantly reduced.In contrast,future flood events over most parts of China are projected to occur more frequently with stronger intensity and longer duration than those prevalent currently.Additionally,the spatial extents of flood events are projected to significantly increase.

RELATIONSHIP BETWEEN THE 30 TO 60 DAY OSCILLATION OF ATMOSPHERIC HEAT SOURCE AND THE DROUGHT AND FLOOD EVENTS IN JUNE IN THE SOUTH OF CHINA

Based on the NCEP/NCAR reanalysis data and the observed precipitation data in the south of China from 1958 to 2000,the impact of 30 to 60 day oscillation of atmospheric heat sources on the drought and flood events in June in the south of China is discussed.During the flood(drought) events,there exists an anomalous low-frequency anticyclone(cyclone) at the low level of the troposphere over the South China Sea and the northwestern Pacific,accompanied with anomalous low-frequency heat sinks(heat sources),while there exists an anomalous low-frequency cyclone(anticyclone) with anomalous heat sources(sinks) over the area from the south of China to the south of Japan.On average,the phase evolution of the low-frequency in drought events is 7 to 11 days ahead of that in flood events in May to June in the south of China.In flood events,low-frequency heat sources and cyclones are propagated northward from the southern South China Sea,northwestward from the warm pool of the western Pacific and westward from the northwestern Pacific around 140°E,which have very important impact on the abundant rainfall in June in the south of China.However,in drought events,the northward propagations of the low-frequency heat sources and cyclones from the South China Sea and its vicinity are rather late compared with those in flood events,and there is no obvious westward propagation of the heat sources from the northwestern Pacific.The timing of the low-frequency heat source propagation has remarkable impact on the June rainfall in the south of China.

干旱区与湿润区旱涝急转演变特征对比研究

以长江、黄河和淮河流域为研究对象,基于标准化旱涝急转指数,利用趋势分析、变点检验、小波分析、随机森林等方法探究典型干旱区与湿润区旱涝急转演变特征及其驱动因子。结果表明:湿润和半湿润区是极端旱涝急转事件的高频发生区,干旱区是极端旱转涝事件的高频发生区;干旱区的突变发生在1998年,湿润区的突变在1978年,未来干旱区更易发生旱转涝事件,湿润区则相反;气象因子在湿润区对旱涝急转的贡献度更大,大气环流对干旱区的影响突出,旱涝急转与不同驱动因子间存在非线性关系。

1960-2010年渭河流域旱涝时空分布特征

利用1960—2010年渭河流域12个气象站5—9月降水量资料,采用Z指数作为划分旱涝等级的标准,分析了渭河流域近50a旱涝时空特征。结果表明,近50a来,流域范围内大旱大涝年份各出现过至少6次。大旱出现最多的站点为环县和平凉两站。大涝出现最多的站点为长武和西吉两站。发生大涝的站点基本位于渭河干流的中下游。受大涝(大旱)影响范围较广的年份主要发生在1965—1970年和1980—1985年(1970—1975年和1985—2000年),尤其是1964,1975,1983,1984和2003年(1972,1994,1995和1997年)受大涝(大旱)影响的站点数超过了50%。1960—2010年大旱站点比例有明显增加趋势,大涝站点比例有降低趋势。根据累积距平曲线可以看出,全流域在1960—1968年和1977—1985年年降水量高于均值,在1970—1974年和1992—2001年年降水量低于均值;对渭河流域区域Z指数进行经验正交函数分析,发现渭河流域旱涝主要受流域中心地带(洛川—长武—宝鸡)的旱涝气候控制。受地面高程差异影响,北偏西方向发生旱灾机会增大,而南偏东方向发生涝灾的概率增大。东西差异为东部洛川地区旱灾概率加大,流域西部来水概率增强等,表明渭河流域旱涝分布除受大尺度的气候系统影响和控制外,还受地面高程、局地地形等多种因子影响。

基于SPI的近41年(1965-2005)河北省旱涝时空特征分析

河北省是旱涝频发地区之一。本文基于1965-2005年河北省84个气象站的逐月降水数据,采用标准化降水指数(SPI)、正交经验分解函数和旋转正交经验分解函数等方法,分析了近41a河北省旱涝时空变化分布特征。结果表明:河北省旱涝总体上呈阶段性变化特征,1965-1972年和1997-2005年干旱比较频繁,1973-1996年干旱频率较低;20世纪70年代和90年代前中期为雨涝比较频繁阶段。春秋季干旱呈减轻趋势,夏季干旱呈加剧趋势(不显著),冬季旱涝变化趋势不明显,但90年代以来河北省极端季节旱涝事件比较频繁。在空间上,河北省旱涝分布可分为东部、北部、南部和西部四个不同的区域,四个区域的旱涝总体上具有相对一致的大趋势,但在某些时段也表现出一定的南北差异和东西差异。河北省全省20世纪90年代后期旱涝变率最大,70年代前期和末期变率也较大,80年代变率最小;四个区域总体上表现出与全省大致相同的趋势,只是2000年以后南部地区旱涝变率持续较高。

辽宁省旱涝急转特征与趋势研究

【目的】旱涝急转事件有较高的突发性和致灾性,明确辽宁省旱涝急转的特征与趋势,为辽宁省旱涝灾害预警与水资源应急管理提供依据。【方法】旱涝急转指标是进行旱涝急转研究的基础,利用辽宁省19个气象站点1970—2020年的降水数据,分别采用长、短周期旱涝急转指数(LDFAI、SDFAI)进行时空特征分析,并指明旱涝急转指数的异同,实现对辽宁省旱涝急转事件的量化识别。【结果】结果表明:(1)1970—2020年辽宁省LDFAI与SDFAI总体呈上升趋势,未来辽宁省干旱转洪涝风险正逐步提升;(2)辽宁省旱涝急转事件的发生概率空间差异性显著并且与辽宁省的降水分配不均密切相关;(3)SDFAI重心变化幅度明显大于LDFAI,LDFAI与SDFAI迁移中心主要集中在辽宁省中部盘锦、鞍山、营口等地。【结论】总体来看,辽宁省旱涝急转现象频发,且具有周期性,强度逐年增大。研究结果可为辽宁省科学应对旱涝灾害和提高水资源应急管理能力提供参考。

基于日尺度旱涝急转指数的重庆市旱涝急转事件演变特征分析

为准确地反映旱涝急转事件的“突发性”与“交替性”特征,对重庆市34个气象站采用日尺度旱涝急转指数DWAAI提取1960—2018年旱涝急转事件,根据重庆市的实际情况划分不同强度旱涝急转事件对应的DWAAI数值范围,探究不同强度旱涝急转事件发生频次的时空演变特征。结果表明:重庆市旱涝急转事件以旱急转涝为主,旱急转涝事件占旱涝急转事件累计次数的85%,主要发生在4—9月,多年平均次数为22.64站次,其中,中度、重度事件占所有旱急转涝事件的11.7%、2.9%;旱急转涝事件频发于重庆市西部、中部及东北部区域,发生频次的变化趋势不显著;涝急转旱事件主要发生在7—9月,多年平均次数为5.60站次,轻度、中度事件占所有涝急转旱事件的92.9%、7.1%;涝急转旱事件在重庆市东南部、中部以及东北部区域的西部地区(如开县)频发,频发地区的发生频次总体呈增加的趋势。研究成果可为保障重庆市及相关地区水安全、加强防旱抗涝减灾工作提供理论基础。

1981—2018年吉林省玉米水分盈亏及旱涝时空分布

吉林省作为我国玉米主产区和重要的商品粮基地,明确吉林省玉米水分盈亏指数及旱涝灾害的时空分布特征,有助于提高农业生产的稳定性和抗灾能力。该文采用吉林省逐日气象站点数据,通过计算月尺度下的潜在蒸散量,构建水分盈亏指数来分析吉林省潜在蒸散量和旱涝灾害的时空分布特征,运用趋势分析法和小波分析法来探究水分盈亏指数的趋势性及周期性变化。结果表明:多年平均潜在蒸散量和各月份平均潜在蒸散量均有由西北至东南逐渐递减的趋势,5—9月潜在蒸散量分别占生长周期内总平均潜在蒸散量的26.3%、24.5%、21.1%、16.8%和11.3%。5月和9月发生中旱及以上频率大于50%的地区主要位于白城市西部,四平市西部和长春市中部地区。8月和9月中涝及以上频率高值区位于吉林省东部及东南部地区。

丹江口库区多时间尺度旱涝变化特征研究

利用丹江口库区1961年-2019年21个气象站点数据计算了多个时间尺度的标准化降水蒸散指数,探究了库区旱涝时空变化特征,以期为库区生态环境建设与管理提供科学依据。结果表明:时间尺度越小,库区旱涝发生越频繁,反之越稳定,库区干旱发生频率高于洪涝频率,而库区未来呈偏湿趋势;除1个月时间尺度外,其余时间尺度库区干旱与洪涝频率空间分布特征相反,而库区旱涝变化趋势空间分布较为一致;库区多时间尺度旱涝周期交替现象一致,主要时间尺度以28年~32年、6年、14年为主,未来几年库区呈偏涝趋势,应加强相应的生态环境保护措施。

长江流域旱涝急转演变特征及其社会经济暴露度

旱涝急转是指干旱和洪水之间的快速转变,对农业生产和人类安全造成巨大威胁。本研究基于月尺度的旱涝急转量级指数,分析了长江流域历史和未来四种旱涝急转事件,并通过滑窗法构建了旱涝急转量级的时变函数,揭示了未来旱涝急转风险变化。同时,结合共享社会经济路径量化了人口和经济受旱涝急转风险变化影响的程度。结果显示,历史时期长江流域中下游旱涝急转事件频发,旱–涝和涝–旱事件每10年发生10~12次,而旱–涝–旱和涝–旱–涝事件每10年发生3~4次。未来旱–涝–旱和涝–旱–涝事件预计大幅增加,其中长江上游部分地区增长了约7倍。对于历史基准期50年一遇的旱涝急转事件,未来发生概率将增加5~10倍,给长江流域的人口和经济带来重大影响。

湖北省2000—2019年降水时空变化分析

为评估长序列降水时空变化及其对旱涝灾害的影响,采用趋势分析、累积距平分析等方法,选择降水集中指数(PCI)、降水异常指数(PAI)等指标分析了湖北省2000—2019年20 a间降水时空分布特征以及旱涝灾害发生状况。结果表明:近20 a湖北省累计年降水量增加了0.03%,降水多集中在4—8月份,雨热同期;2019年较2000年东部降水量增加;纬度决定了省内降水量的基数,总体呈现南部多于北部,经度影响降雨量变幅,表现为东西方向降水量空间分布的较大变异性;20 a间的PCI呈下降趋势,降水季节性和时段性特征较明显,PAI显示2005—2015年期间具有洪涝转干旱的趋势,2015年SPI值最大为1.425,出现了较严重洪涝;总体来看湖北省旱涝灾害呈现周期性波动特点,时间周期特征显著。研究成果对年际尺度上区域气候变化应对、旱涝灾害预警等方面具有重要意义。

基于SPI指数的漳州市季节性旱涝特征分析

文章利用漳州市10个国家级气象观测站近30年逐月降水资料,采用标准化降水指数(SPI)和相关分析的方法对漳州市旱涝特征进行分析。研究结果表明:春季整体有偏旱趋势,其中1990s和2010s偏涝,2000s和2020s前期偏旱;夏季整体往偏旱发展,其中1990s和2000s偏涝,2010s和2020s前期夏季偏旱;秋季往偏涝趋势发展,1990s秋季和2020s前期偏旱,2010s偏涝;冬季整体有偏旱的趋势,其中1990s秋季偏涝,2000s和2020s前期冬季偏旱。

陕西夏季旱涝与欧亚大气环流异常的关系

陕西处于青藏高原边坡地带,南北狭长,气候类型多样,地形复杂,生态条件脆弱,旱涝是夏季的主要气象灾害,因此分析其旱涝的成因对该地区防灾减灾具有重要意义。利用陕西78个气象站1961—2018年夏季(6—8月)降水资料、NCEP/NCAR高度场和风场再分析资料、西太平洋副高指数资料,通过相关、合成、多元回归分析方法,研究了陕西夏季旱涝与大气环流异常的关系。结果表明,500 hPa上乌拉尔山阻塞高压和西太平洋副高是影响陕西夏季旱涝的关键因素,当乌拉尔山阻高和西太副高偏强时,陕西夏季降水偏多,反之偏少。200 hPa西风急流位置与陕西夏季降水关系密切,急流偏南时陕西夏季降水偏多,反之偏少。西太平洋副高偏强、偏西时,陕西夏季降水偏多,反之偏少,副高脊线位置主要影响陕西夏季雨带的南北移动。

1951-2016年长江荆南三口地区旱涝演变与急转特征分析

根据荆南三口地区22个气象站点1951—2016年月降水资料,采用标准化降水指数(SPI)及夏季长周期旱涝急转指数(LDFAI),辅以EOF分析、小波分析、M-K检验等相关分析方法,分析荆南三口地区66年旱涝的变化特征。结果表明:(1)旱涝年际变化较大,20世纪50年代前涝后旱、60—70年代整体干旱、80年代旱涝交替、90年代洪涝、21世纪前涝后旱,且四季均可发生旱涝事件。(2)空间尺度可分为3个区域类型,东南部(湿润区)、中部(降水均匀区)、西北部(偏干区),且季节空间分布上存在较大差异,西北部的五峰、宜昌、荆州等地四季干旱较多,中部的安乡、南县、华容等地四季洪涝较多。(3)年与四季多以5年、10年周期为主,并具有30~35年的长周期。(4)旱涝急转指数在1981年和2015年发生显著变化,而旱涝强度在1972年和2014年发生显著突变。(5)宜昌、石门、澧县等夏季多为旱转涝;五峰、宁乡、安乡、华容、常德等地夏季多为涝转旱。

利用GRACE/GRACE-FO重力卫星探测黄河流域水储量能力及极端气候发生的可能性

基于2004~2021年GRACE/GRACE-FO重力卫星数据反演黄河流域陆地水储量时空变化,并构建干旱指数模型和洪水因子模型,对黄河流域的极端气候现象进行分析研究。结果表明,2004~2021年黄河流域的陆地水储量以0.56 cm/a的速度减少,具有明显的季节周期性特征,在夏季和秋季呈盈余状态,春季和冬季呈亏损状态;干旱指数模型监测到期间黄河流域发生极度干旱事件22次、重度干旱事件37次,干旱事件范围涵盖整个黄河流域;洪水因子模型探测到黄河流域共发生洪水事件118次,多出现在夏季和秋季雨水较为丰沛的时候,期间黄河流域陆地水储量能力较弱,降雨量增大。利用GRACE/GRACE-FO重力卫星数据构建的干旱指数模型和洪水因子模型探测的气象结果与实际观测结果较为符合,能真实反映黄河流域发生的极端气候,可为极端气候研究提供有利工具。