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1.
1990s长江流域降水趋势分析 总被引：2，自引：0，他引：2
依据国家气象局提供的实测月降水和日降水资料,运用Mann-Kendall(M-K)非参数检验法验证了降水趋势,并通过空间插补法,由点扩展到面,分析了1990s长江流域降水变化特征,发现1990s长江流域降水变化以降水在时间和空间分布上的集中度的增加为主要特点:时间上,年降水的增加趋势以冬季1月和夏季6月降水的集中增加为主;一日降水量大于等于50mm的暴雨日数和暴雨量在1990s也有了较明显的增加.空间上,年降水、夏季降水、冬季降水的增加都以中下游区的增加为主,尤其以鄱阳湖水系、洞庭湖水系的降水增加为主.1990s长江流域春季和秋季降水的减少以5月和9月两个汛期月份的降水减少为主,除金沙江水系和洞庭湖水系等少数地区外,流域大部分地区降水呈减少趋势.上述1990s出现的降水趋势明显与近年来全球变暖背景下长江流域各地区不同的温度及水循环变异有关. 相似文献
2.
本文在对比了TRMM多卫星降水分析TMPA(TRMM Multi-satellite Precipitation Analysis)资料和中国643个气象站观测降水量时空分布的基础上,采用2002~2006年夏季TMPA每小时降水量资料,用合成分析和谐波分析的方法研究了青藏高原及其周边地区夏季降水量和降水频率的日变化特征.分析结果表明,平均降水量和降水频率日变化谐波分析的标准振幅显示出青藏高原地区夏季降水具有显著的日变化特征,高原中部地区对流活动日变化最强,其次是高原西南方向的印度半岛地区.谐波分析的位相表明降水量和降水频率最大值出现的时间具有选择性,高原中部降水量最大值多集中在傍晚前后,高原以东的四川盆地通常在夜晚,尤其是在后半夜达到最大值,而长江上游和中下游地区对流活动则分别在上午和下午最为活跃.青藏高原以东地区降水量日变化的位相明显不同于其他陆地地区,也不同于高原中部,具有自西向东传播的信号,四川盆地的夜雨现象可能是高原地区对流活动日变化自西向东传播的结果. 相似文献
3.
1961-2003年间鄱阳湖流域气候变化趋势及突变分析 总被引：21，自引：2，他引：19
本文利用1961-2003年间鄱阳湖流域14个气象站的气温、降水量、蒸发量等观测数据和8个主要水文站的流量数据,研究该时段内鄱阳湖流域的气候变化趋势、突变及其空间分布的差异．研究表明,鄱阳潮流域气温和降水均在1990年发生突变,继而呈现显著的上升趋势;在季节变化上,冬季平均气温在1986年发生突变,增温显著;夏季降水量和夏季暴雨频率均在1992年发生突变增加,暴雨频率增加是夏季降水量增加的主要原因;蒸发皿蒸发量和参照蒸散量均呈现显著下降趋势,该变化在夏季尤为明显．上述变化趋势均以1990s最为显著,这与长江流域气候变化趋势基本一致．在空间分布上,饶河水系、信江水系和赣江下游等气候变化更为显著．笔者认为,鄱阳湖流域气候变化在长江流域中比较突出．该流域1990s暖湿气候在加强;气温的升高、降水量和暴雨频率的增加以及蒸发量的下降强化了五河流量的增加趋势,由此可大致判定鄱阳湖流域气候变化与洪涝灾害之间可能存在的关系,这可为理解气候变化在该流域的响应和预测该流域未来可能的洪涝灾害提供依据． 相似文献
4.
本文利用中尺度数值模式WRF对2003年7月4-5日淮河流域特大暴雨过程进行了数值模拟,并利用高时空分辨率模拟结果资料,提取了暴雨中心区大气重力波频率、周期、水平波长、垂直波长、水平相速和群速等特征参数,分析了暴雨过程中重力波参数随时间的演变特征.结果表明,对此次暴雨强降水过程影响较大的重力波主要是发展的中 α 尺度波和中 β 尺度波,暴雨后期随着重力波的频散,周期和水平波长有减小趋势,频率有增大趋势.非降水区的重力波参数特征和降水中心区有明显不同,大气中小振幅的中 α 尺度和中 β 尺度重力波是否发展和暴雨强降水的发生关系密切. 相似文献
5.
长江流域降水变化及其趋势演变 总被引：1，自引：0，他引：1
本文对中国长江流域降水趋势进行了分析.指出对月降水量而言,20世纪后50年不同区域出现1不胃的降水趋势变化特征.趋势插补法研究表明中国降水时空分布趋势十分明显.对长江流域长期降水资料分析研究指出夏季月份降水时间更集中,而对年降水而言在一些站则表现出明显的周期变化. 相似文献
6.
7.
《中国科学:地球科学》2020,(5)
利用7个地球系统模式的植被净初级生产力(NPP)对中国地区1901～2005年植被碳通量的时空变化进行了研究,并结合气候因子分析了NPP的变化与气温、降水和辐射的关系;文章还进一步研究了中国地区1901～2005年氮沉降通量NH_x、NO_y的时空变化,并分析了NH_x、NO_y的变化与气温、降水和NPP的关系.结果表明:(1)近百年来中国地区NPP呈现上升趋势,模式集合平均的趋势系数为0.88, NPP的分布趋势总体呈现出北低南高,由西北到东南逐渐增加的特征.温度、降水、光照在该梯度方向上均有利于植物生长,其中模式集合平均NPP与气温、降水、长波辐射和短波辐射相关系数分别为0.88、0.73、0.91和0.67.(2)近百年来中国地区NH_x、NO_y呈现上升趋势,其中趋势系数分别为0.98和0.98,且通过了99.9%的信度检验. NH_x和NO_y总体呈现出北低南高,由西北到东南呈阶梯状逐渐增加的特征.(3) NH_x和NO_y与气温之间的相关系数空间分布大体相似,只是数值略有差异,与气温相关系数空间分布从东到西是正相关-负相关-正相关相间的分布; NH_x和NO_y与降水之间的相关系数空间分布也是大体相似,但降水相关系数空间分布相对比较复杂,在季风区从北到南呈正相关-负相关-正相关-负相关-正相关的相间分布,非季风区从东到西呈负相关-正相关-负相关-正相关的相间分布.(4) NH_x和NO_y与NPP之间的相关系数空间分布总体一致,与NPP相关系数空间分布相对比较复杂,其中模式集合平均的分布在东北地区和西南地区为正相关值区,其他地区是正相关与负相关交替分布. 相似文献
8.
利用三峡库区35个台站1961-2010年汛期(5-9月)的逐日降水量资料,首先定义不同台站的极端降水量阈值,统计各站近50 a逐年汛期极端降水事件的发生频次,进而分析其时空变化特征.结果表明:三峡库区汛期极端降水事件发生频次的最主要空间模态是主体一致性,同时存在东西和南北相反变化的差异.三峡库区汛期极端降水事件发生频次具有较大的空间差异,可分为具有不同变化特点的5个主要异常区.滑动t检验表明,三峡库区西南部区代表站巴南的极端降水事件在1974年后发生了一次由偏多转为偏少的突变,北部区代表站北碚在1981年后和1993年后分别发生了由偏少转为偏多和由偏多到偏少的突变,中部区代表站武隆在1984年后发生了一次由偏多转为偏少的突变.结合最大熵谱和功率谱分析表明,近50 a来各分区汛期极端降水事件发生频次的周期振荡不太一致,三峡库区东北部区代表站宜昌、北部区代表站北碚和中部区代表站武隆分别存在5、2.4和8.3 a的显著周期. 相似文献
9.
太湖流域位于长江入海口,地处中国沿海经济带和长江沿线内陆经济带的交汇处,是中国高度城镇化地区之一.流域汛期降水受到多重天气系统的影响,不同的天气系统带来时空分布各异的降水,给该地区城镇防洪排涝工作造成了巨大的挑战.本文基于Copula理论对太湖流域汛期洪涝风险进行研究,考虑了因降水主导因素不同所造成的流域洪涝风险的时空差异性.在时间角度,采用降水主导因素发生时间的概率分布,将汛期划分为梅汛期和台汛期;在空间角度,通过Copula函数,对研究区进行聚类划分;在此基础上,根据太湖流域防洪规划,对流域梅汛期和台汛期的洪涝风险进行分析.研究结果表明:①太湖流域的汛期划分为:6月24日7月21日为梅汛期,7月22日9月22日为台汛期;②根据各分区降水和太湖水位的联合分布函数拟合效果的优劣,在梅汛期,太湖流域被划分为P-Ⅰ区、P-Ⅱ区和P-Ⅲ区;在台汛期,整个流域的降水作为一个整体,不分区;③到2025年,太湖流域在梅汛期和台汛期出现排涝不利情境的风险概率分别为2.4%和1.1%.本文的研究方法可以为太湖流域设计暴雨的调整、洪水资源的利用以及防洪排涝实时调度的决策提供科学参考. 相似文献
10.
基于对长沙桃子湖湖水和降水中稳定同位素的监测数据,分析了湖水中稳定同位素的变化特征及其与降水和蒸发的关系,旨在了解湿润气候条件下小型湖泊的湖水稳定同位素的变化规律,揭示降水和蒸发对湖水稳定同位素变化的具体影响.在时间变化上,湖水稳定同位素具有明显的季节变化,湖水中δ18O的最大值出现在春季,最小值出现在冬季;湖水中过量氘的最大值出现在5-6月,最小值出现在9-10月.在空间变化上,桃子湖不同深度和不同空间点上的湖水中δ18O差异很小,说明湖水基本处于均匀混合状态.当5日累计降水量≥ 20.3 mm时,湖水中δ18O的变化与5日累计降水量之间的负相关关系非常显著,但与5日累计蒸发量之间呈弱正相关;湖水中过量氘的变化与5日累计降水量之间无显著相关关系,但与5日累计蒸发量之间呈弱的相关性;相比于平均湖水蒸发线,该降水段的蒸发线斜率和截距均有明显增加.当累计降水量<20.3 mm时,湖水中δ18O的变化与5日累计降水量之间的相关程度明显降低,但与5日累计蒸发量之间的相关程度则明显提高;湖水中过量氘的变化与5日累计降水量以及与5日累计蒸发量之间的相关关系显著提高;相比于平均湖水蒸发线,该组蒸发线的斜率和截距均有明显减小. 相似文献
11.
Spatial and temporal variation of extreme precipitation indices in the Yangtze River basin, China 总被引：1，自引：1，他引：0
Jiali Guo Shenglian Guo Yu Li Hua Chen Tianyuan Li 《Stochastic Environmental Research and Risk Assessment (SERRA)》2013,27(2):459-475
Regional characteristics of extreme precipitation indices (EPI) of precipitation magnitude, intensity and persistence were analyzed based on a daily rainfall dataset of 135 stations during the period of 1961–2010 in the Yangtze River basin, China. The spatial distribution of temporal trends of the selected indices was regionally mapped and investigated by using non-parametric test method. Future projections of EPI changes derived from the output of general circulation model (HadCM3) under the SRES A2 and B2 emission scenarios were downscaled and analyzed. The results show that: (a) there is not a general significant increasing or decreasing trend in EPI for the Yangtze River basin based on historical recorded data; (b) the automated statistical downscaling method-based precipitation captures some spatial distribution of the EPI and the bias correction can improve the simulation results; (c) a mixed pattern of positive and negative changes is observed in most of the nine indices under both scenarios in the first half of twenty-first century, and they increase continuously in the second half of twenty-first century; and (d) the concurrent increase in the heavy rain and drought indices indicates the possibility of the sudden change from drought to water logging in the lower region of Yangtze River basin. 相似文献
12.
Oscillation characteristics of summer precipitation in the Huaihe River valley and relevant climate background 总被引：1，自引：0，他引：1
WEI FengYing & ZHANG Ting State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing China 《中国科学:地球科学(英文版)》2010,(2)
Based on the summer precipitation data from the Huaihe River valley and the middle and lower reaches of the Yangtze River from 1922 to 2007,we analyzed the interannual and interdecadal oscillation and probability distribution characteristics of summer precipitation in the Huaihe River valley during the same period,using the wavelet transform and generalized extreme distribution methods.Whereby,we studied the climate background of East Asia Summer Monsoon (EASM),Sea Surface Temperature (SST),East Asia teleco... 相似文献
13.
Temporal change of spatial heterogeneity and its effect on regional trend of annual precipitation heterogeneity indices 
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下载免费PDF全文 A statistical test on climate and hydrological series from different spatial resolution could obtain different regional trend due to spatial heterogeneity and its temporal variability. In this study, annual series of the precipitation heterogeneity indices of concentration index (CI) and the number of wet days (NW) along with annual total amount of precipitation were calculated based on at‐site daily precipitation series during 1962–2011 in the headwater basin of the Huaihe River, China. The regional trends of the indices were first detected based on at‐site series by using the aligned and intrablock methods, and field significance tests that consider spatial heterogeneity over sites. The detected trends were then compared with the trends of the regional index series derived from daily areal average precipitation (DAAP), which averages at‐site differences and thus neglects spatial heterogeneity. It was found that the at‐site‐based regional test shows increasing trends of CI and NW in the basin, which follows the test on individual sites that most of sites were characterized by increasing CI and NW. However, the DAAP‐derived regional series of CI and NW were tested to show a decreasing trend. The disparity of the regional trend test on at‐site‐based regional series and the DAAP‐derived regional series arises from a temporal change of the spatial heterogeneity, which was quantified by the generalized additive models for location, scale, and shape. This study highlights that compared with averaging indices, averaging at‐site daily precipitation could lead to an error in the regional trend inference on annual precipitation heterogeneity indices. More attention should be paid to temporal variability in spatial heterogeneity when data at large scales are used for regional trend detection on hydro‐meteorological events associated with intra‐annual heterogeneity. 相似文献
14.
Precipitation in the Pearl River basin, South China: scaling, regional patterns, and influence of large-scale climate anomalies 总被引：1，自引：1，他引：0
Jun Niu 《Stochastic Environmental Research and Risk Assessment (SERRA)》2013,27(5):1253-1268
This study examines the temporal patterns of precipitation and the influence of large-scale climate anomalies in the Pearl River basin (South China), with particular focus on sub-basin scale. Three popular data analysis techniques are employed: (1) wavelet analysis; (2) principal component analysis (PCA); and (3) rank correlation method. With due consideration to hydrologic factors, water resources activities, and large-scale climate data, the entire basin is divided into ten sub-basins and the analysis is performed on monthly data. The wavelet analysis reveals discernible differences in temporal scales of fluctuation embedded in the monthly precipitation anomalies over the basin. The PCA delineates three coherent regions exhibiting similar distribution of variability across scales. Analysis of linkages between precipitation and teleconnection patterns using cross-wavelet transform and wavelet coherence reveals that the dominant variabilities of precipitation are essentially depicted by the Indian Ocean Dipole (IOD), especially for the central and eastern part of the Pearl River basin. On the influence of El Niño-Southern Oscillation (ENSO) signal on precipitation, more significant correlation is detected for the eastern part of the basin, long-term relationships (within 4–8 years band) are found for the western part of the basin, while the central part seems to be acting as a transition zone. Rank correlations of scale-averaged wavelet power between regional precipitation and climate indices for the dominant low-frequency variability band (0.84–8.40 years) provide further support to the different precipitation-climate relationships for different regions over the basin. The present results provide valuable information towards: (1) improving predictions of extreme hydroclimatic events in the Pearl River basin, based on their relationships with IOD or ENSO; and (2) devising better adaptation and mitigation strategies under a future changing climate. 相似文献
15.
Lateral inflows control the spatial distribution of river discharge, and understanding their patterns is fundamental for accurately modelling instream flows and travel time distributions necessary for evaluating impacts of climate change on aquatic habitat suitability, river energy budgets, and fate of dissolved organic carbon. Yet, little is known about the spatial distribution of lateral inflows in Arctic rivers given the lack of gauging stations. With a network of stream gauging and meteorological stations within the Kuparuk River watershed in northern Alaska, we estimated precipitation and lateral inflows for nine subcatchments from 1 July to 4 August,2013, 2014, and 2015. Total precipitation, lateral inflows, runoff ratios (area-normalized lateral inflow divided by precipitation), percent contribution to total basin discharge, and lateral inflow per river kilometre were estimated for each watershed for relatively dry, moderate, or wet summers. The results show substantial variability between years and subcatchments. Total basin lateral inflow depths ranged 24-fold in response to a threefold change in rainfall between dry and wet years, whereas within-basin lateral inflows varied fivefold from the coastal plain to the foothills. General spatial trends in lateral inflows were consistent with previous studies and mean summer precipitation patterns. However, the spatially distributed nature of these estimates revealed that reaches in the vicinity of a spring-fed surficial ice feature do not follow general spatial trends and that the coastal plain, which is typically considered to produce minimal runoff, showed potential to contribute to total river discharge. These findings are used to provide a spatially distributed understanding of lateral inflows and identify watershed characteristics that influence hydrologic responses. 相似文献
16.
Multi-scale analysis of meteorological drought risks based on a Bayesian interpolation approach in Huai River basin,China 总被引：4，自引：4，他引：0
Kai Duan Weihua Xiao Yadong Mei Dedi Liu 《Stochastic Environmental Research and Risk Assessment (SERRA)》2014,28(8):1985-1998
A scheme for meteorological drought analysis at various temporal and spatial scales based on a spatial Bayesian interpolation of drought severity derived from Standardized Precipitation Index (SPI) values at observed stations is presented and applied to the Huai River basin of China in this paper, using monthly precipitation record from 1961 to 2006 in 30 meteorological stations across the basin. After dividing the study area into regular grids, drought condition in gauged sites are classified into extreme, severe, moderate and non drought according to SPIs at month, seasonal and annual time scales respectively while that in ungauged grids are explained as risks of various drought severities instead of single state by a Bayesian interpolation. Subsequently, temporal and spatial patterns of drought risks are investigated statistically. Main conclusions of the research are as follows: (1) drought at seasonal scale was more threatening than the other two time scales with a larger number of observed drought events and more notable variation; (2) results of the Mann–Kendall test revealed an upward trend of drought risk in April and September; (3) there were larger risks of extreme and severe drought in southern and northwestern parts of the basin while the northeastern areas tended to face larger risks of moderate drought. The case study in Huai River basin suggests that the proposed approach is a viable and flexible tool for monitoring meteorological drought at multiple scales with a more specific insight into drought characteristics at each severity level. 相似文献
17.
利用中国科学院大气物理研究所大气科学和地球流体力学数值模拟实验室研发的全球海洋－大气－陆面过程气候系统耦合模式（IAP/LASG GOALS 40）,对比分析了考虑和不考虑气候的外强迫因子（太阳活动、温室气体及硫酸盐气溶胶）变化对2003年夏季中国区域的短期气候预测的影响.结果发现,由于外强迫因子变化的影响,模式模拟的中国区域2003年夏季降水距平的分布比不考虑这种变化时更接近实况,它有效地改善了无外强迫变化时模式模拟预测的中国区域降水不真实偏大的缺点,使一些地区的模拟降水量值减小,范围扩大,位置北抬.更重要的是,由于考虑了外强迫的变化,GOALS耦合模式很好地模拟出了2003年夏季淮河流域较大的降水正距平区,同时相应的500 hPa环流场的模拟也有较大的改进. 相似文献
18.
Taiwan suffers from heavy storm rainfall during the typhoon season. This usually causes large river runoff, overland flow, erosion, landslides, debris flows, loss of power, etc. In order to evaluate storm impacts on the downstream basin, a real‐time hydrological modelling is used to estimate potential hazard areas. This can be used as a decision‐support system for the Emergency Response Center, National Fire Agency Ministry, to make ‘real‐time’ responses and minimize possible damage to human life and property. This study used 34 observed events from 14 telemetered rain‐gauges in the Tamshui River basin, Taiwan, to study the spatial–temporal characteristics of typhoon rainfall. In the study, regionalized theory and cross‐semi‐variograms were used to identify the spatial‐temporal structure of typhoon rainfall. The power form and parameters of the cross‐semi‐variogram were derived through analysis of the observed data. In the end, cross‐validation was used to evaluate the performance of the interpolated rainfall on the river basin. The results show the derived rainfall interpolator represents the observed events well, which indicates the rainfall interpolator can be used as a spatial‐temporal rainfall input for real‐time hydrological modelling. Copyright © 2007 John Wiley & Sons, Ltd. 相似文献
19.
Comparative streamflow characteristics in urbanizing basins in the Portland Metropolitan Area,Oregon, USA 总被引：2，自引：0，他引：2
Heejun Chang 《水文研究》2007,21(2):211-222
This study investigates changes in streamflow characteristics for urbanizing watersheds in the Portland Metropolitan Area of Oregon for the period from 1951 to 2000. The objective of this study was to assess how mean annual runoff ratio, mean seasonal runoff ratio, annual peak runoff ratio, changes in streamflow in response to storm amount, the fraction of time that the daily mean flow exceeds the annual mean flow, 3‐day recession constants, and dry/wet flow ratio vary among watersheds with different degrees of urban development. There were no statistically significant changes in annual runoff ratio and annual peak runoff ratio for the mixed land‐use watershed (Tualatin River watershed) and the urban watershed (Johnson Creek watershed) during the entire study period. The Tualatin River watershed, where most of the urban development occurred in a lower part of the watershed, showed a statistically significant increase in annual peak runoff ratio during the 1976 and 2000 period. The Upper Tualatin River watershed illustrated a significant decrease in annual peak runoff ratio for the entire study period. With significant differences in seasonal runoff ratio, only Johnson Creek exhibited a significant increase in both wet and dry season runoff ratios. Streamflow during storm events declined rapidly in the urban watershed, with a high 3‐day recession constant. At an event storm scale, streamflow in Fanno Creek, which is the most urbanized watershed, responded quickly to precipitation input. The fraction of time that the daily mean flow exceeded the annual mean flow and dry/wet flow ratio are all lower in Johnson Creek. This suggests a shorter duration of storm runoff and lower baseflow in the urbanized watershed when compared to the mixed land use watershed. The findings of this study demonstrate the importance of spatial and temporal scale, climate variability, and basin physiographic characteristics in detecting the hydrologic effects of urbanization in the Pacific Northwest of the USA. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献