贵州山区降水集中度和降水集中期的时空变化特征

利用1961~2015年贵州省81个气象观测站的逐日降雨资料,计算了降水集中度(PCD)和集中期(PCP),并采用线性趋势、空间分析、M-K突变检验和R/S分析等方法 ,对贵州山区复杂地形下的降水集中度和降水集中期进行了分析。结果表明:贵州1961~2015年PCD波动幅度介于0.30~0.59之间,空间分布上由东向西逐渐增加的趋势,PCP的波动范围在16.5~21.0旬之间,空间呈现出由东南向西北逐渐增加的趋势;PCD与降水量的相关性高于PCP与降水量的相关性,表明贵州地区的降水量越多,降水越趋于集中;R/S分析表明贵州地区PCD可能隐含着周期规律,PCP会保持提前的趋势。     

宁夏春、夏、秋季干旱与降水集中期及集中度的关系

应用宁夏气象台站1961-2010年逐候降水量序列资料, 计算了春、夏、秋季3个季降水的集中期、集中度和干旱Z指数, 运用趋势分析、相关分析、合成分析讨论了3季的集中期、集中度与旱涝程度的时空变化特征及其相互关系. 结果表明: 50 a来宁夏春夏秋干旱等级均呈加剧趋势, 秋季加剧更明显, 3季中中部干旱带加剧最严重, 南部山区次之, 北部最小. 春季集中期无明显变化趋势, 但集中度有上升趋势, 夏季集中期、集中度缓慢下降, 秋季集中期、集中度变化不明显;近10 a来3季集中度明显增大, 春夏两季集中期推迟. 春季降水集中度对干旱没有显著影响, 但首场透雨出现早晚对干旱影响显著, 透雨出现偏早, 干旱等级低, 反之亦然;夏季集中期对干旱影响不显著, 但集中度显著影响干旱, 集中度高, 雨涝发生概率越大, 集中度低, 干旱发生概率大;秋季集中期、集中度对干旱都有影响, 集中度高, 集中期早, 雨涝发生概率大, 反之干旱出现概率大.     

变化环境下降雨集中度的变异与驱动力探究

降雨的时空分布过于集中会诱发洪旱灾害。研究降雨集中度的变异及其驱动力有助于全面掌握降雨对变化环境的响应特征,为区域水资源的综合利用与灾害预警提供依据。以汉江流域为研究对象,选取月降雨集中度指数(CIM)和日降雨集中度指数(CID)表征降雨集中度,并采用Mann-Kendall趋势检验法与启发式分割算法对降雨集中度进行变异分析,利用交叉小波变换探究太阳黑子与大气环流异常因子对降雨集中度变化的影响。结果表明:①汉江流域CIM北大南小,呈不显著的下降趋势;CID东大西小,在6个站呈显著上升趋势;②流域部分站点CID发生突变,而CIM序列较为平稳,表明CID相比CIM对变化环境的响应更为敏感;③太阳黑子和大气环流异常因子对降雨集中度的变化有较强的影响,其中太阳黑子的影响最大,它通过影响大气环流异常因子间接影响汉江流域的降雨集中度。     

Study on the Climatic Change Features of Hebei Plain

Precipitation and groundwater are essential to water circulation and they mutually influence. Groundwater is the main water supply source in Hebei Plain. On the other hand, atmospheric precipitation infiltration recharge is the main supply source of the groundwater in this area. Therefore, the studies on Hebei Plain climatic change features are of great significance to further analyze the influences of climatic changes on groundwater resources. This paper selected 10 ground climatological stations in Hebei Plain in terms of daily precipitation and temperature data from 1961 to 2010 and analyzed the spatial-temporal evolution features of temperature and precipitation. The results showed that the minimum temperature of Hebei Plain in recent 50 years increased significantly; the maximum temperature basically is stable; and the mean temperature presents an obviously increasing trend. In the spatial distribution, it gradually decreases from southwest to northeast on the whole and gradually tends to increase from the coastal to inland. The precipitation in recent 50 years owns obvious interannual change features and spatial distribution features, with a trend of overall periodic decrease and significant decrease of extreme precipitation. The annual mean precipitation intensity and annual mean extreme precipitation intensity gradually increased from piedmont plain to coastal plain. Hebei Plain has a warming and drying development trend on the whole. In space, piedmont plain belongs to the high-temperature and few-water area; coastal plain lies in low-temperature and much-water area; and central plain is in transitional zone. The climatic change and human activities are two influential factors of groundwater resources. Further revealing of the climatic change features of different geomorphic types and measuring and distinguishing of the influences of climatic change and human activities on groundwater remain to be further explored.     

基于SPEI指数的兰州干旱特征与气候指数的关系

基于1961～2012年逐日气象及同期4个气候因子资料系列,采用标准化降水蒸散发指数(SPEI)定量描述兰州地区干旱状况,利用M-K检验分析了该地干旱变化趋势,采用皮尔逊相关系数法以及交叉小波变换法研究了SPEI与北大西洋涛动(NAO)、北极振荡(AO)、太平洋十年涛动(PDO)以及厄尔尼诺-南方涛动(ENSO)四个气...     

基于GIS的江淮分水岭地区旱涝灾害时空分析

采用江淮分水岭地区13个站点40年（1961-2001年）的各月降水观测资料，采用Z指数方法计算单站旱涝指标并利用该数据进一步确定区域旱涝级别，对江淮分水岭地区的旱涝时间序列进行研究，运用地理信息系统（GIS）等方法分析了江淮分水岭地区旱涝的时空特征。     

MSWEP降水产品在中国大陆区域的精度评估

基于1979-2015年中国大陆824个气象站点逐日降水观测资料,采用相对误差、相关系数以及探测率等指标,评估新发布的格网化降水产品Multi-Source Weighted-Ensemble Precipitation（MSWEP）在中国大陆区域的精度;采用改正的Mann-Kendall趋势法,对比分析MSWEP在降水量趋势分析中的可靠性。研究表明:① MSWEP对中国大陆区域降水整体上存在高估现象,而在华北区域存在低估现象;② MSWEP对微量降水和强降水事件分别存在高估和低估现象;③ MSWEP和降水资料在年和月尺度上具有较好的相关系数,在日尺度上相关系数较低;④ MSWEP和站点观测的年降水量变化趋势存在较大空间分布差异,但在春季、秋季和冬季,空间分布特征较为一致。     

Application of meteorological and vegetation indices for evaluation of drought impact: a case study for Rajasthan, India

Drought is a serious climatic condition that affects nearly all climatic zones worldwide, with semi-arid regions being especially susceptible to drought conditions because of their low annual precipitation and sensitivity to climate changes. Drought indices such as the standardized precipitation index (SPI) using meteorological data and vegetation indices from satellite data were developed for quantifying drought conditions. Remote sensing of semi-arid vegetation can provide vegetation indices which can be used to link drought conditions when correlated with various meteorological data based drought indices. The present study was carried out for drought monitoring for three districts namely Bhilwara, Kota and Udaipur of Rajasthan state in India using SPI, normalized difference vegetation index (NDVI), water supply vegetation index (WSVI) and vegetation condition index (VCI) derived from the Advanced Very High resolution Radiometer (AVHRR). The SPI was computed at different time scales of 1, 2, 3, 6, 9 and 12 months using monthly rainfall data. The NDVI and WSVI were correlated to the SPI and it was observed that for the three stations, the correlation coefficient was high for different time scales. Bhilwara district having the best correlation for the 9-month time scale shows late response while Kota district having the best correlation for 1-month shows fast response. On the basis of the SPI analysis, it was found that the area was worst affected by drought in the year 2002. This was validated on the basis of NDVI, WSVI and VCI. The study clearly shows that integrated analysis of ground measured data and satellite data has a great potential in drought monitoring.     

1971-2015年青藏高原东北边坡降水特征及主要影响因子分析

利用1971-2015年青藏高原东北边坡20个站的降水观测资料和美国国家环境预报中心（NCEP）再分析资料,分析了青藏高原东北边坡年、季降水量空间分布和变化趋势,并采用相关系数法分析和讨论其所受的影响因素。结果表明：青藏高原东北边坡地区的年、季平均降水量空间分布极为不均,总体上是从南向北递减,东北部最少;青藏高原东北边坡年、夏、秋季平均降水量北部呈上升趋势,南部呈下降趋势;青藏高原东北边坡地区年平均降水量呈下降趋势,气候倾向率为-3.1 mm·（10a）^-1,其中春、秋、冬季平均降水量呈上升趋势,夏季平均降水量呈明显下降趋势;青藏高原东北边坡地区年、季降水量的显著周期为2～3 a、4～5 a及10～15 a;南亚季风对青藏高原东北边坡地区降水量影响显著,为明显的正相关,西风指数对高原东北边坡地区降水量有一定影响,相关不是很明显,与其北部降水量呈正相关,南部降水量呈负相关。     

Historical evidence of climate change impact on drought outlook in river basins: analysis of annual maximum drought severities through daily SPI definitions

In the context of major outcomes of a steadily changing climate, extreme climatic conditions and the associated events in various forms of weather-related natural disasters, e.g. droughts, floods, and heat waves, are more frequently experienced on the global scale in recent years. In support of this argument, there are adequate numbers of explicit signals over such a persistent outlook, which is greatly illustrated by historical data and observations. This study, which is mainly oriented to investigating the drought behaviour in Thracian, Aegean and Mediterranean transects of Turkey's major river basins, is actually inspired by the foreseen potential of using annual maximum drought severity series (based on drought definition through the standardized precipitation index (SPI)) within a framework that resembles the use of flood discharge directly from flow measurements in a river basin. To this end, a series of spatial analyses were employed to identify different aspects of flood appearance in the study extent, including trend views on annual average drought severity series, shifts in the starting time of the annually most severe flood periods, and changes in spatial coverage views of average drought conditions under different drought severity categories. The framework of the analytical approaches depends greatly on validated international datasets and open-source computational algorithms. The results from the analyses that were conducted in two consecutive periods of 1958–1980 and 1981–2004 revealed that Turkey's western and southern river basin systems seemed to have experienced quite different behaviours between the two periods in terms of drought severity magnitudes, drought durations and annual occurrence times.

     

华北平原气候时空演变特征

地下水是华北平原主要的供水水源,大气降水入渗补给又是该区地下水的主要补给,因此研究气候时空演变特征对于深入剖析气候变化对其地下水资源的影响具有重要意义。依据中国18个地面气候站1951-2011年逐日气候观测资料,剖析华北平原气候时空演变特征。结果表明:华北平原近60年最低气温显著升高,最高气温基本稳定,平均气温明显升高;空间上呈由西南向东北逐渐降低、由沿海向内陆增高的趋势。降水量总体呈逐渐减少趋势,空间上由山前向滨海逐渐减弱后增强;对比分析典型极端丰枯水年的降水分布特征,不同降水年空间分布差异显著。水面蒸发量整体呈下降趋势,空间上南、北部大于中部。华北平原气候总体向暖干化方向发展,两次突变主要发生在20世纪60年代中期和70年代初。气候变化和人类活动是影响地下水资源的两个重要因素,极端气候则加强了对地下水的影响。因此,定量区分气候变化与人类活动对地下水的影响是有待进一步深入探讨的问题。     

基于条件分布模型的气象水文干旱传递分析

气象干旱发展到一定程度可以传递为水文干旱。以潘家口水库流域1961—2010年逐月平均降水数据和潘家口水库的入库径流序列为基础数据,分别计算了1、3、6、12个月时间尺度的标准化降水指数（SPI）和标准化径流指数（SRI）,以表征研究区域的气象干旱和水文干旱。基于条件分布模型,分析了不同时间尺度的气象干旱传递到未来的不同等级和不同的预测期（或滞后期）的水文干旱的概率。结果表明,当SPI时间尺度较短或预测期（滞后期）较短时,其对应的SRI水文干旱等级越倾向于维持与SPI相同的干旱等级;随着SPI时间尺度的增长或预测期（滞后期）延长,其对应的SRI水文干旱等级略低于气象干旱或恢复到正常状态。     

IMERG卫星降水数据在嘉陵江流域的干旱监测效用评估

针对嘉陵江流域存在雨热同期,水旱灾害频发的现象,为快速且准确地把握流域内降水与干旱情况,利用覆盖范围广且分辨率高的网格化IMERG卫星降水数据对嘉陵江流域进行多时空尺度反演,并基于卫星降水数据采用标准化降水指数(SPI)对流域实行干旱监测。结果表明：1)根据分类指标与统计指标的计算结果,三种卫星降水数据中的IMERG-F能更准确地反映流域内的日降水量,与地面降水数据CC达0.737,整体高估地面降水2.6%,具有在干旱监测方面的应用潜力。2)三种卫星降水数据驱动的SPI指数在干旱监测方面存在一定的差异,IMERG-F驱动的SPI指数与地面降水数据驱动的SPI指数保持较高的一致性(CC>0.9),较近实时产品IMERG-F更能准确地呈现出流域的干湿特征。3)卫星识别降水与干旱监测的能力受地形地貌的影响,IMERG卫星降水数据在平原丘陵地带具有较好的适用性。     

吉林西部气象干旱的多标度分形特征

选用标准化降水指数作为气象干旱指标,通过引入多标度分形理论,运用乘法级联模型,以吉林西部6个气象站点1957年1月-2010年10月的月降水量数据为基础,对吉林西部气象干旱的多标度性质进行分析。研究结果表明,吉林西部气象干旱的发生在时间尺度上均具有多标度分形特征,但在不同站点多标度分形的强度不同,表现出一定的空间差异性。其强弱次序为：长岭<通榆<白城<前郭<扶余<乾安。     

Spatial variability of rainfall trends in Iran

The main objective of this paper is to analyze the spatial variability of rainfall trends using the spatial variability methods of rainfall trend patterns in Iran. The study represents a method on the effectiveness of spatial variability for predicting rainfall trend patterns variations. In rainfall trend analysis and spatial variability methods, seven techniques were used: Mann–Kendall test, Sen’s slope method, geostatistical tools as a global polynomial interpolation and the spatial autocorrelation (Global Moran’s I), high/low clustering (Getis-Ord General G), precipitation concentration index, generate spatial weights matrix tool, and activation functions of semiliner, sigmoid, bipolar sigmoid, and hyperbolic tangent in the artificial neural network technique .For the spatial variability of monthly rainfall trends, trend tests were used in 140 stations of spatial variability of rainfall trends in the 1975–2014 period. We analyzed the long and short scale spatial variability of rainfall series in Iran. Spatial variability distribution of rainfall series was depicted using geostatistical methods (ordinary kriging). Relative nugget effect (RNE) predicted from variograms which showed weak, moderate, and strong spatial variability for seasonal and annual rainfall series. Moreover, the rainfall trends at each station were examined using the trend tests at a significance level of 0.05. The results show that temporal and spatial trend patterns are different in Iran and the monthly rainfall had a downward (decreasing) trend in most stations, and the trend was statistically significant for most of the series (73.5% of the stations demonstrated a decreasing trend with 0.5 significance level). Rainfall downward trends are generally temporal-spatial patterns in Iran. The monthly variations of rainfall decreased significantly throughout eastern and central Iran, but they increased in the west and north of Iran during the studied interval. The variability patterns of monthly rainfall were statistically significant and spatially random. Activation functions in the artificial neural network models, in annual time scale, had spatially dispersed distribution with other clustering patterns. The results of this study confirm that variability of rainfall revealing diverse patterns over Iran should be controlled mainly by trend patterns in the west and north parts and by random and dispersed patterns in the central, southern, and eastern parts.     

Improvement of multiple linear regression method for statistical downscaling of monthly precipitation

This article aims at proposing an improved statistical model for statistical downscaling of monthly precipitation using multiple linear regression (MLR). The proposed model, namely Monthly Statistical DownScaling Model (MSDSM), has been developed based on the general structure of Statistical DownScaling Model (SDSM). In order to improve the performance of the model, some statistical modifications have been incorporated including bias correction using variance correction factor (VCF) to improve the computed variance pattern. We illustrate the effectiveness of the proposed model through its application to 288 rain gauge stations scattered in different climatic zones of Iran. Comparison between the results of SDSM and the proposed MSDSM has indicated superiority of the proposed model in reproducing long-term mean and variance of monthly precipitation. We found that the weakness of MLR method in estimating variance has been considerably improved by applying VCF. We showed that the proposed model provides a promising alternative for statistical downscaling of precipitation at monthly time scale. An investigation of the effects of climate change in different climatic zones of Iran by the use of Representative Concentration Pathways (RCPs) has shown that the most significant change is an increase in precipitation in fall and that the largest share of this increase belongs to arid climate.     

黑河流域降水量年内分配格局研究

用黑河流域降水量实测资料,具体分析了黑河流域降水量年内分配分布格局,研究表明:黑河流域多年平均连续最大四个月降水量占全年降水量的70%左右,连续最小四个月降水量占年总量的5%左右,其余各月降水量分配较为均匀。但各区域受所处地理位置、地形,地貌和季节性气候特点的影响,降水量年内分配存在一定的差异,年内变幅由东南向西北、从高海拔区向低海拔区递减,不均匀系数和集中度深山区最大,绿洲灌溉区又大于北部荒漠区,浅山区最小;流域内降水量集中期出现在7月17日前后,各分区仅相差1天,深山区最早,浅山区最迟。     

基于改进后地表湿润指数的我国西南干旱气候特征研究

利用1961-2014年西南地区96个观测站日平均气温和降水资料、1961-2010年ERA-20C 0.5°×0.5°再分析资料,运用REOF方法、计算地表湿润指数以及改进后的地表湿润指数,研究了西南地区干旱时空分布特征。结果表明：（1）综合REOF（旋转经验正交函数）前四个模态,除川西高原外,西南地区1961-2010年整体土壤湿度有所降低,其中以四川盆地和云贵高原南部下降趋势更为明显。（2）根据REOF空间模态对西南地区做出气候区划,以历年月平均降水和干旱气候区划为基础,对地表湿润指数做出改进。其结果显示,原地表湿润指数（SHI）与改进后地表湿润指数（MSHI）空间分布特征均与年降水量的空间分布特征存在一定的相似性,指数低值区与弱降水区吻合,西北部较为干燥,云贵高原南部较为湿润。（3）从空间分布上来看,MSHI在西南南部更接近降水的空间分布且空间连续性更好。从时间序列上来看,MSHI比SHI更能体现西南地区干旱年,用MSHI识别典型干旱年份,识别能力较强。研究结果对合理配置和利用水资源,进行未来气候变化研究有重要意义。     

1971—2006年珠穆朗玛峰地区蒸发皿蒸发量的变化及其影响因素

升温率略高于平均最高气温的升温率.珠峰地区日照时数和平均风速的显著下降,以及相对湿度的明显增加可能是蒸发皿蒸发量下降的主要原因.     

Risk analysis and influencing factors of drought and flood disasters in China

The risk analysis of flood and drought disasters and the study of their influencing factors enhance our understanding of the temporal and spatial variation law of disasters and help identify the main factors affecting disasters. This paper uses the provincial administrative region of China as the research area. The proportion of the disaster area represents the degree of the disaster. The statistical distribution of the proportions was optimized from 10 alternative distributions based on a KS test, and the disaster risk was analyzed. Thirty-five indicators were selected from nature, agriculture and the social economy as alternative factors. The main factors affecting flood and drought disasters were selected by Pearson, Spearman and Kendall correlation coefficient test. The results demonstrated that the distribution of floods and drought is right-skewed, and the gamma distribution is the best statistical distribution for fitting disasters. In terms of time, the risk of flood and drought disasters in all regions showed a downward trend. Economic development and the enhancement of the ability to resist disasters were the main reasons for the change in disasters. Spatially, the areas with high drought risk were mainly distributed in Northeast and North China, and the areas with high flood risk were mainly distributed in the south, especially in Hubei, Hunan, Jiangxi and Anhui. The distribution of floods and drought disasters was consistent with the distribution characteristics of precipitation and water resources in China. Among the natural factors, precipitation was the main factor causing changes in floods and drought disasters. Among the agricultural and socioeconomic factors, the indicators reflecting the disaster resistance ability and regional economic development level were closely related to flood and drought disasters. The research results have reference significance for disaster classification, disaster formation mechanisms and flood and drought resistance.