Characterization of drought in the Kerio Valley Basin,Kenya using the Standardized Precipitation Evapotranspiration Index: 1960−2016

The Kerio Valley basin in Kenya has undergone several periods of drought, yet drought patterns in the region are not well understood due to limited climatic data. Drought events in the region have resulted in crop failure and livestock deaths, exacerbating food shortages. In this study, the Standardized Precipitation Evapotranspiration Index (SPEI), a multi‐scalar drought index was used to examine the onset, duration, severity, intensity, and frequency of agricultural and hydrological drought in the region. The gridded 0.5° × 0.5° climatic datasets from Climatic Research Unit for the period 1960?2016 was used for analysis. Temporal evolutions of SPEI at 6‐ and 12‐month lags were subsequently used to evaluate agricultural and hydrological drought, respectively. Additionally, the Mann‐Kendall trend test was used to test for trends in the time series. Results from the analysis show that: 1) droughts are becoming more frequent in the region, 2) drought intensities in the arid and semi‐arid lands have weakened, 3) regions west of the Kerio River have recently recorded a wetting trend, and 4) the southern and central regions of the basin are drought‐prone. Understanding the spatial and temporal patterns of drought in the basin can assist in drought preparation and mitigation planning.     

1961—1987年与1988—2014年辽宁省气候区划界线变化及可能气候成因

基于同一区划方法、指标体系,使用1961—2014年辽宁省52站气象观测资料,分析辽宁省气温、气候区划指标、范围及界线的变动特征。结果表明：辽宁省年均气温在1988年发生一次突变,突变后气温开始显著上升;≥10 ℃积温日数比较显著地响应气温突变,而干燥指数、7月平均气温变化不显著。在空间分布上区划指标值均存在不同程度的变化。① 全省≥10 ℃积温日数均出现增加,但在中西部地区显著增加;② 在盘锦-抚顺一线以北（南）,气候总体呈不显著变湿（干）趋势;③ 7月平均气温呈缓慢上升趋势。区划范围及界线位置出现更加显著地变化：① 暖温带范围主要向北向东扩展,中温带向东收缩;② 半湿润区范围主要向北向西扩展,半干旱区向西北方向收缩,湿润区范围基本不变;③ Tb范围显著向北向东扩展,Ta范围向北向东收缩。在此基础上分析了气候格局变化的可能气候成因,发现突变后≥10 ℃积温日数期间500 hPa高度场增加与4月和10月东亚冬季风减弱,4—10月东北冷涡持续天数增加和7月500 hPa高度场增加,可能分别是温度带,Tb区、Ta区和半湿润区、半干旱区变化的原因。     

内蒙古干湿环境演变与地区生态建设优势气候背景分析

通过内蒙古地区近46 a降水和潜在蒸散量以及湿润度在气温突变前后的倾向率和差值变化分析,得出该区域主要植被类型干湿环境演变的时空变化特征。研究结果表明：降水在气温突变前“东增西减”,突变后呈相反的变化趋势。46 a降水倾向率增加区域主要集中在呼伦贝尔市东部和乌兰察布市以西大部地区;潜在蒸散量在气温突变前呈减少趋势,突变后有增加趋势,突变后潜在蒸散量明显小于突变前。内蒙古46 a潜在蒸散量倾向率大部地区偏小,偏大区域仅存在于中东部偏北地区,气温突变后全区大部地区存在明显的“蒸发悖论”;大兴安岭西麓和乌兰察布市以西地区突变后湿润度增加明显,暖湿的气候环境有利于当地植被建设和生态恢复,内蒙古东南部、呼伦贝尔草原和锡林郭勒盟草原区有暖干化趋势,上述草原区存在潜在退化风险。     

小叶锦鸡儿(Caragana microphylla)群落蒸散发模拟

基于2016、2017年生长季原位气象监测数据,利用Shuttleworth-Wallace(S-W)模型模拟了科尔沁沙地主要固沙植物小叶锦鸡儿(Caragana microphylla)群落的蒸散发,对蒸散组分进行了拆分,并利用涡度相关系统对模拟蒸散发值进行了验证。结果表明:2016、2017年生长季小叶锦鸡儿群落蒸散发量分别为345.4、325.2 mm,土壤蒸发量分别为93.8、83.8 mm,植被蒸腾量分别为251.6、241.4 mm,土壤蒸发占总蒸散发分别为27.2%、25.8%。30 min尺度上模拟值与实测值一致性较高,模拟精度大体表现为晴天>阴天>雨天。持续干旱和降水后,小叶锦鸡儿蒸腾耗水规律明显不同,持续干旱时期小叶锦鸡儿保持较低的蒸腾耗水,且具有明显的"午休"现象,连续降水后小叶锦鸡儿"午休"消失,蒸腾耗水增强。饱和水汽压差是影响小叶锦鸡儿蒸散发的主要因子。     

气候变暖背景下中国干旱变化的区域特征

在全球气温日趋升高和极端降水增加的气候背景下,近年来中国干旱变化特征异常突出,新形势下需进一步深入认识干旱发生特征及影响机制。利用1960-2014年中国527个气象站逐日气温和降水量数据,选用改进的综合气象干旱指数（MCI）作为干旱监测指标,详细分析了中国各区域干旱强度、次数和持续时间变化特征及其差异性。结果表明：1960年以来,中国各区域干旱程度加重,范围增大,次数增多,持续时间增长。干旱特征发生了明显的区域变化,各个区域干旱变化差异显著。西南、华中、华北和华南区域干旱程度明显加重,主要是重度以上干旱次数较多。华北和西南干旱年数最多,为45年,其他地方为35~36年,华北重度以上干旱年份最多,为14年,其次是东北和华南的7年。干旱发生时间和区域也有随机性,中国各区域四季都有可能发生干旱,干旱不仅发生在北方干旱和半干旱区域,在南方湿润和半湿润区域同样发生。各区域以夏旱为主,东北以春旱和夏旱居多,华南以秋旱为主。干旱持续时间不等,有时高达9个月。有些区域年内干旱呈单峰型,有些区域为双峰型。气候变暖背景下,中国各个区域干旱呈加重趋势。     

Trends and risk evolution of drought disasters in Tibet Region,China

Journal of Geographical Sciences - The risk posed by natural disasters can be largely reflected by hazard and vulnerability. The analysis of long-term hazard series can reveal the mechanisms by...     

基于均一化观测序列的成山头海表温度气候变化特征分析

文中利用加拿大环境部气候研究中心研发的惩罚最大t检验方法,选取均一的邻近气象站为参考站,结合元数据信息,对1960-2017年成山头海洋站海表温度序列进行了均一性检验与订正。利用订正后的海表温度序列对成山头海温气候变化特征进行分析。结果表明,订正前后年平均海表温度趋势发生了明显改变,表现出海温上升趋势较订正前加强的特征,增暖趋势由订正前的0.04℃/10 a上升到0.15℃/10 a,其中最暖的5个年份多发生在1980年以后,分别为1973年、1989年、2002年、2007年和2017年。海表温度总体呈显著上升趋势和明显的年代际波动,20世纪60年代至80年代末为偏冷阶段,之后开始增暖,20世纪90年代至今为偏暖阶段。1960-2017年,成山头的海温突变点在1987年,是一次增暖性突变,与中国大陆的气温突变特征和气温变化阶段性特征非常一致。     

A geospatial study of the drought impact on surface water reservoirs: study cases from Texas,USA

Satellite images have been used historically to measure and monitor fluctuations in the surface water reservoirs. This study integrates remote sensing and Geographic Information System (GIS) technologies to investigate the impact of drought on 10 selected surface water reservoirs in San Angelo and Dallas, Texas. Oscillations in summer and winter months throughout the 2005–2016 period were assessed using multispectral images from Landsat-5, ?7, and ?8, and changes in the reservoirs were characterized and correlated against local climate data of each reservoir. For quantitative comparisons of the time-series measurements, a robust density slicing approach was employed to classify the range of values of the raster cells in the near-infrared band of Landsat images for each lake into three desired classes (deep water, shallow water, and dry area) based on the natural breaks inherent in the dataset. Statistical analysis shows that the overall accuracy of the classification is about 94%, which demonstrates the efficiency of the density slicer to accurately estimate surface water area changes from an individual Landsat band. Shrinkage in the surface water area over the study period reveals the concrete impact that the drought along with other factors have on the 10 selected lakes. The San Angelo lakes located in west central Texas experienced a nearly consistent pattern of change during most of the study period; whereas the Dallas lakes in northeast Texas followed the oscillating pattern of drought and correlated closely to the local conditions. Shockingly, the extreme drought caused complete vanishing of several lakes, and consequently Texas had to remove them from its recreational plans. Our new findings can certainly help with the water resource management in Texas and our study approach can be adapted for monitoring lake oscillations in other areas across the world. This geospatial study demonstrates the societal benefits from incorporating remote sensing and GIS in investigating geo-environmental problems associated with severe climate changes.     

顾及空间非平稳特征的遥感干旱监测

遥感技术具备实时快速、时空连续、广覆盖尺度等独特优势,在全球气候恶化大背景下,利用遥感干旱监测方法相比于传统地面监测手段,能够提供实时、准确、稳定的旱情信息,辅助科学决策。目前常用遥感旱情监测方法大多依赖全域性数学模型建模,假定了旱情模式的空间平稳特性,因而难以准确反映旱情模式的局部差异特征。本文提出利用地理加权回归模型GWR (Geographically Weighted Regression),考虑旱情模式的空间非平稳特性,综合多种遥感地面旱情监测指数,以实现传统全域旱情监测模型的局部优化。以美国大陆为研究区,监测2002年—2011年共10年的旱情状态。研究表明,GWR模型能够提供空间变化的局部最佳估计模型参数,监测结果更加吻合标准美国旱情监测USDM (U.S Drought Monitor)验证数据,且与地面实测值的最高相关系数R达到0.8552,均方根误差RMSE达到0.972,显著优于其他遥感旱情监测模型。GWR模型具备空间非平稳探测优势,实现了旱情模式的局部精细探测,能够显著提升遥感旱情监测精度,具备较好的应用前景。     

随机森林算法在全球干旱评估中的应用

干旱是发生频率最高,造成社会、经济损失和生态破坏最严重、最广泛的自然灾害之一,因此对干旱进行可靠、有效的评估十分重要.本文以月平均降水、月平均温度、月最高温度、月最低温度、土壤湿度、蒸散发、NDVI、叶绿素荧光等作为解释变量,以基于SPI的干旱等级作为目标变量,采用随机森林算法,以2007-2012年的数据作为训练数据...