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1.
Spatio-temporal variations in precipitation are affecting agricultural production in China in the context of climate change. Based on daily precipitation data from 63 national meteorological stations on the Huang-Huai-Hai Plain from 1963 to 2012, this paper analysed the spatio-temporal variations in precipitation in terms of precipitation days and intensity, using spatial interpolation, linear trend estimation and wavelet analysis. The results indicated that: (i) from 1963 to 2012, the number of annual precipitation days and intensity decreased gradually from the southeast to the northwest. Additionally, the distribution of the extreme precipitation index was similar to that of the annual precipitation index; (ii) the number of annual precipitation days and heavy precipitation days gradually decreased, while precipitation intensity and extreme precipitation days and extreme rainfall intensity remained relatively stable or decreased. The spatial patterns of annual variation trends were considerably different. The annual precipitation days and intensity trends are consistent with the overall trend, while that of the extreme rainfall index in some regions differs from the overall trend; (iii) the precipitation index displayed different periodic oscillations during the period, and the precipitation index values differed at different time scales. However, all the precipitation index values exhibited a 28-yr oscillation. 相似文献
2.
Jürgen Böhner 《GeoJournal》1994,34(1):55-66
Based on time series of 98 stations from the Qinghai-Xizang Plateau, the Indo-Gagnetic Plains, the River Gorge Country and Eastern China, the representativeness of the locally observed interannual variations of temperature and precipitation was analyzed by a statistical method. After an overview, which regards the main circulation patterns as well as the spatial distribution of temperature and precipitation in winter (January) and summer (July), the monthly distribution of the representativeness is discussed in a climato-genetic context. The monthly temperature representativeness is characterized by strong spatial and seasonal contrasts. The values range from less than 200 km in the basins and valley bottoms of NW Sichuan, caused by local summer circulation patterns, and more than 1600 km in the lower areas of E China, affected by the far reaching influence of the winter monsoonal surges of cold continental airmasses. With only a few exceptions mainly occurring in December, the precipitation representativeness does not exceed a 300 km limit. Due to the comparatively modest spatial disparities — except December when a steep rise, greater than 600 km occurs in the upper Tsangpo valley and adjacent areas — it can only be concluded, that a tendency of higher (lower) representativeness is predominantly related to advective (convective) regimes. 相似文献
3.
Majid Javari 《Arabian Journal of Geosciences》2017,10(4):78
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. 相似文献
4.
G. A. Fallah Ghalhari A. A. Dadashi Roudbari M. Asadi 《Arabian Journal of Geosciences》2016,9(12):595
Precipitation has been regarded as one of the most important meteorological parameters affecting human activities. The findings of research studies confirm that the variability and fluctuation in precipitation has direct impacts on climate of a given region. The purpose of the present study was to investigate long-term patterns in precipitation variation in Iran. To this end, the available data related to rainfall in Iran over the past half century (1957–2007) were retrieved from APHRODITE database in order to analyze the spatial-temporal variations of precipitation. The statistical test performed on the collected data included spatial auto-correlation, global Moran’s index, local Moran’s index, and hotspots. The results obtained showed that the precipitation variation in Iran followed a high clustering pattern. More specifically, the results of the local Moran’s index and hotspot analysis performed on the data revealed that the precipitation along the Caspian Sea coast and western and southwestern parts of the country had a positive spatial auto-correlation while the precipitation variation in some parts of the central Iran and along the coastline of the country showed a negative spatial auto-correlation. Moreover, the findings of the present study showed that the climate change continued during the decades under study, with clustering patterns of precipitation moving from the southern parts of the country upward towards the coastal regions of the Caspian Sea and the regions in the outskirt of Zagros Mountains. 相似文献
5.
利用引水区和黄河上游地区25个站1951—2000年50 a的气温和降水逐日资料,分析了研究区域降水的时空分布特征;把引水区和黄河上游地区分成7个小区,利用小波分析的方法研究了各小区气温和降水的多时间尺度特征.结果表明:黄河上游和南水北调西线引水区夏、秋、冬三季降水以同步的变化为主,其次为黄河上游与引水区之间存在反位相的变化.春季降水主要表现为黄河上游与引水区之间存在反位相的变化,其次才表现为一致的变化.各区的气温均以同步升温为主.降水具准3 a和准22 a周期,气温的振荡周期主要是2~5 a的小周期和准11 a的周期.引水区和黄河上游地区近50 a来夏季的降水在一致变化的基础上也有着明显的区别. 相似文献
6.
发现异常点是对逐时降水资料质量控制的有效方法,但简单的剔除未修正的异常点必然会影响其周围一定范围内降水量的空间变化。本文提出综合评分法定量的分析不同时段不同异常监测点被剔除后对降水量变化幅度的影响,探讨剔除区域异常点后降水量的时空变化分布特征。对宁德市降水资料进行实例验证,分析结果表明:在相邻站点数大于12个、相邻站点最近距离小于3km、相邻站点平均监测值大于6mm时,其降水量变化幅度相对较小,可剔除异常点。综合考虑三个相邻站点指标的综合分析可以显著表现不同时段不同监测站点降水量空间变化的地带性分布,在宁德市西北和东南区域出现高变化幅度站点的概率最高,呈现出高变化幅度站点多、分布范围广特点;在其东北区域监测站点分布不均匀,降水高变化幅度站点易受逐时降水量大小影响,呈现出小雨大范围、大雨小范围分布;在其西南和中部区域监测站点分布密集,出现高变化幅度站点的可能性最小。因此,综合分析可剔除区域异常点对降水量空间变化的影响特征,确定对降水量变化幅度影响最小的监测站点,有效提高了降水资料的质量控制水平。 相似文献
7.
近50a来青海水文要素变化特征分析 总被引：17，自引：5，他引：12
对青海省境内降水、径流、水面蒸发站观测资料的分析,结果显示年降水量在昆仑山、巴颜喀拉山、达板山以北,阿尼玛卿山、日月山以西的地区呈增加的趋势,且以柴达木盆地增幅较大,以东的黄河流域降水略有减少;以南的长江流域变化趋势不明显.年径流量在柴达木盆地南部、昆仑山北麓呈较明显增加的趋势,盆地北部诸河、长江流域、大通河变化趋势不明显,其它地区包括青海湖、黄河及其支流(不含大通河)呈减少的趋势.水面蒸发量除个别站点外,呈明显下降的态势,而且减幅较大,下降的幅度西部地区大于东部地区.与此对应是全省的干旱指数明显变小,湿润程度有所增加. 相似文献
8.
了解沙漠降水稳定同位素特征,有助于研究干旱区水循环过程.根据2015-2016年取自巴丹吉林沙漠4个站点的降水样品,分析了δ2H、δ18O的时空分布特征及影响因素;借助后向气团轨迹模型分析了降水水汽来源;采用氘盈余模型计算了水汽再循环比.结果显示,降水δ2H、δ18O均表现出季节效应,夏高冬低;沙漠腹地较外围山区δ2H、δ18O偏正,d-excess偏负,反映出腹地降水的蒸发程度更高.年内降水主要来自西风水汽,夏季部分受东南季风影响.沙漠湖泊区再循环比为10.3%~10.9%,略大于山区的8.5%;再循环水汽在总蒸发量中占比11.1%,反映出沙漠强烈的蒸发对本地降水的贡献较为有限. 相似文献
9.
1961-2016年四川地区不同量级不同持续时间降水的 时空特征分析 总被引：1，自引：0，他引：1
利用四川地区122站逐日降水数据,采用均值、气候趋势系数等统计方法,对1961-2016年不同量级不同持续时间降水的空间和时间变化特征进行了分析,结果表明：盆地和攀西地区小雨、中雨、大雨和总暴雨所占年降水量比例接近,高原地区小雨降水量约占50%以上,中雨约40%,大雨约10%;整个四川地区小雨日数占总降水日数75%以上,量级越高降水日数越少。年降水量在盆地和攀西地区为减少趋势,高原则相反,年降水日数除了在高原局部微弱增加外其他地区皆减少且大部分区域减少趋势通过99%的显著性水平检验,这种趋势显著性主要体现在小雨量级降水。随着降水量级的增加,高原、盆地东北、攀西和盆地东南的部分地区出现了降水量和降水次数增加趋势,这可能说明高原地区年降水量的增加由小雨量级降水效率以及中雨和大雨降水次数增加导致,盆地和攀西部分地区年降水量的增加主要由降水量级大的降水次数增加导致。 相似文献
10.
青藏高原及其毗邻地区降水中稳定同位素成分的经向变化 总被引：8，自引：6，他引：2
分析了从南亚经青藏高原到毗邻的我国西北地区一个经向剖面上降水中稳定同位素成分的时空分布以及与温度、降水量、水汽来源的关系.在青藏高原南部和南亚,温度效应均不存在.在所统计的站点中,大约一半的取样站具有降水量效应,但降水中稳定同位素比率的季节变化并不与降水量强度的变化相一致.在季节变化中,δ18O的最大值往往出现在雨季到来之前的春季,最小值则出现在雨季后期或雨季结束的秋季.在青藏高原中、北部和毗邻的我国西北地区,各取样站均具有显著的温度效应,且降水中δ18O的季节变化与温度的季节变化几乎一致.说明在这些地区,温度是制约降水中稳定同位素变化的主要影响因子.由于来自源区水汽的直接凝结,南亚地区降水中平均稳定同位素成分相对较重.稳定同位素比率的季节差异较小;从青藏高原南坡的坚景到唐古拉山,由于翻越喜马拉雅山时水汽受强烈的洗涤作用,降水中稳定同位素比率急剧减小,达经向分布中δ18O的最低值段;从31°N到青藏高原北部,降水中稳定同位素比率随纬度而增大,并最终过渡到与我国西北地区降水中稳定同位素比率的变化型相类似. 相似文献
11.
1965-2015年新疆夏季不同等级降水的空间分布特征 总被引：1，自引：1，他引：0
根据新疆51个台站1965-2015年夏季逐日降水资料,将降水划分为小雨、中雨及大雨3个等级,分析了新疆近51 a夏季不同等级降水量、降水日数及降水强度的空间分布特征,并讨论了各等级降水日、降水量及降水强度与总降水量的空间相似程度以及各等级降水对夏季总降水的贡献。结果表明：新疆降水主要集中在夏季,并以小雨为主。以天山山脉为界,南北两疆降水空间分布存在明显差异,北疆夏季降水量（日）占年降水量（日）的36%~45%（36%~39%）,南疆夏季降水量（日）占年降水量（日）的51%~63%（48%~60%）;新疆夏季不同等级降水量、降水日及降水强度的空间分布不均匀。新疆夏季总降水量与各等级降水量的空间相似系数最为密切,与各等级降水强度的空间相似系数相对较小;新疆夏季小雨贡献率最大,中雨其次,大雨最小,夏季降水量和降水日的变化主要受小雨的影响。 相似文献
12.
青藏高原大气降水和气溶胶化学特征研究进展 总被引：19，自引：2，他引：17
近10 a来青藏高原大气降水和气溶胶化学研究取得了显著进展,特别是结合冰川考察和冰芯研究工作,在高海拔冰川区获得了一批降水化学资料.回顾了早期青藏高原大气降水和气溶胶化学研究的背景,从高海拔冰川区降水化学的区域分布、季节变化、全球对比以及台站降水和气溶胶化学等方面综述了近年来该领域的研究成果,并对其研究前景进行了展望. 相似文献
13.
结合青藏高原东部3″DEM和102个气象站46年(1961—2006)5—9月的降水资料,根据降水随高度分布,将站点分为三类,采用多元回归的方法,建立逐年雨季降水量估算模型,并估算和分析了46a的雨季凝结潜热。结果表明:降水量估算模型的相关性显著,基本都通过0.05的信度检验值0.69、0.82、0.90;高原东部雨季凝结潜热分布极不均匀,表现为东南多西北少的特征,凝结潜热总量变化在18.1×1020～26.8×1020J,并且有波动中增加的趋势;采用EOF分解和REOF分区,将高原东部划分为5个气候区,区域凝结潜热年际变化和第A、B、E区的凝结潜热变化有一致性,而与北坡第C、D区凝结潜热相差很大。由于高度、经度、坡度等对低海拔区降水的正调节作用,使得该区域的凝结潜热自20世纪90年代之后逐渐降低;坡向对高海拔区域降水的正调节作用,纬度对降水的负调节作用,使得该区域的凝结潜热有逐渐增加的趋势。 相似文献
14.
中国天山地区降水对全球气候变化的响应 总被引：7，自引：6，他引：1
天山地区的降水变化及其对全球气候变化的响应是近年来研究的热点。利用中国天山地区40个气象站1951-2014年的月降水数据,运用线性倾向估计、相关分析等气候诊断方法,分析了该区域的降水变化,探讨了主要气候指数与降水同步变化的相关关系。结果表明：年降水呈现出"西多东少,北多南少,高山多外围少"的特征,年降水变化率为6.0 mm·（10a）-1。SASMI与年降水表现为显著正相关,PDO、PNA和AO与年降水表现为弱正相关,且有局限性。在枯水期,SASMI与天山北坡及部分中高山地带的降水表现为弱正相关,而在西天山南坡表现为弱负相关,ENSO与中、西天山南北坡的中低山带的降水变化相关性较高。在丰水期,SASMI与天山南坡和高山区降水变化相关性较高,PDO与中、西天山南北坡的低山带部分站点的降水变化相关性较高。 相似文献
15.
利用青藏高原及其周边的97个气象台站1961-2000年的逐月降水量资料,以Mann-Kendall趋势检验方法结合主成分分析,分析了高原降水量40年来的时间变化趋势和空间演变特征,并探讨了其变化趋势的区域分异因素和可能的趋势突变时间。结果发现,高原站点40年年降水量大部分表现为增大趋势,只有青海东南部和南疆及西藏部分站点出现减小趋势,这一时间变化趋势的空间分布则大致表现为高原中东部和南北的反向变化,同时高原站点冷季降水量增大趋势明显;以冷、暖季降水量的第三载荷向量场分异进行的分区在10年年代际和逐年变化中都有明显体现,暖季区域分异因素的主要相关区域降水量变化趋势与相应载荷向量的时间变化相关显著,在1989年出现可信的突变时间点;冷季相关分异区域的降水量变化趋势在1987年出现明显增大趋势,同样与载荷向量的时间变化相关显著,但突变时间点检测不明显。 相似文献
16.
The spatial variability of precipitation was investigated in the northwestern corner of Iran using data collected at 24 synoptic stations from 1986 to 2015. Principal component analysis (PCA) and cluster analysis (CA) were used to regionalize precipitation in the study area. Eleven precipitation variables were averaged and arranged as an input matrix for the R-mode PCA to identify the precipitation patterns. Results suggest that the study area can be divided into four spatially homogeneous sub-zones. In addition, the spatial patterns of annual precipitation were identified by applying the T-mode PCA and CA to the annual precipitation data. The delineated spatial patterns revealed three distinct sub-regions. The resultant maps were compared with the spatial distribution of the rotated principal components (PCs). Results pointed out that the delineated clusters are characterized by different precipitation variability; and using different precipitation parameters can lead to different spatial patterns of precipitation over northwest Iran. 相似文献
17.
1981-2010年青藏高原积雪日数时空变化特征分析 总被引：2，自引：0，他引：2
全球气候变暖大背景下, 作为冰冻圈最为活跃和敏感因子, 青藏高原积雪变化备受国内外关注. 本文利用青藏高原(以下简称高原)1981-2010年地面观测积雪日数资料, 较系统地分析了近30年来高原积雪日数的时空变化特点. 主要结论如下: (1) 近30年内高原平均年积雪日数出现了非常显著的减少趋势, 减少幅度达4.81 d·(10a)-1, 其中冬季减幅最为明显, 为2.36 d·(10a)-1, 其次是春季(2.05 d·(10a)-1), 而夏季最少(0.21 d·(10a)-1); (2) 30年间, 积雪日数较少的年份多数出现在本世纪初10年内, 且2010年属于异常偏少年, 高原积雪日数在1997年左右发生了由多到少的气候突变; (3) 在空间上, 北部柴达木盆地及其附件区域部分气象台站观测的年积雪日数出现了不显著的增加趋势之外, 高原91.5%的气象站年积雪日数呈减少趋势, 且高寒内陆中东部和西南喜马拉雅山脉南麓等高原历年积雪日数高值区域减少最为明显; (4) 由于受到气象台站所在地理位置、地形地貌、地表类型、海拔高度、局地气候以及大气环流等综合影响, 高原平均年积雪日数的空间差异很大, 最多达146 d, 最少的则不足1 d, 平均仅为38 d, 其中高寒内陆中东部是积雪日数最长的区域, 而东南部海拔和纬度较低的干热河谷地区积雪日数最少. 相似文献
18.
基于1961-2007年四川地区119测站逐日降水资料, 利用EOF、REOF分析、趋势分析、M-K突变检验以及Morlet小波分析等方法, 研究了四川地区夏季降水的变化趋势、空间分布特征以及时间变化规律. 结果表明: 近47 a来四川夏季降水呈减少趋势, 在1962、1982年和21世纪初发生突变, 存在22 a和6~8 a的周期.四川夏季降水可分为4个区域: 一区(盆地东部)和四区(川西高原)夏季降水量长期变化呈增多趋势, 二区(盆地中西部)长期变化呈减少趋势, 三区(川西南山)变化趋势较为稳定, 呈小幅度增多趋势. 4个区域的夏季降水周期各有特点, 最长存在的周期为23 a左右, 其次还有16 a、14 a、12 a、8 a、6 a的周期变化. 相似文献
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以黄淮海流域及其周边地区204个气象站点1961-2010年逐日降水过程资料、国家1:25万DEM数据和1:20万土地利用数据为基础,在利用降水Z指数对黄淮海流域旱涝进行评价的基础上,采用下垫面数据对结果进行修正,并分析黄淮海流域旱涝面积的时间变化特征,对黄淮海地区的易旱区、易涝区进行了划分,进一步选取集对分析法划分了流域内季节间旱涝交替的易发区。结果表明:黄淮海流域内夏秋两季旱涝问题较为严重,且秋旱面积上升趋势较为明显;黄河和海河流域以干旱居多,淮河则是干旱和雨涝并存,季节间的旱涝交替多集中在淮河流域中上游地区。 相似文献
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Guotao Dong Shengtian Yang Yunfei Gao Juan Bai Xuelei Wang Donghai Zheng 《Environmental Earth Sciences》2014,72(5):1643-1657
Riparian zones act as important buffer zones for non-point source pollution, thus improving the health of aquatic ecosystems. Previous research has shown that riparian zones play an important role, and that land use has an important effect, on phosphorus (P) retention. A spatial basin-scale approach for analyzing P retention and land use effects could be important in preventing pollution in riparian zones. In this study, a riparian phosphorus cycle model based on EcoHAT was generated with algorithms from soil moisture and heat models, simplified soil and plant phosphorus models, plant growth models, and universal soil loss equations. Based on remote sensing data, model performance was enhanced for spatial and temporal prediction of P retention in the riparian zone. A modified soil and plant P model was used to simulate the soil P cycle of a riparian zone in a temperate continental monsoon climate in northern China. A laboratory experiment and a field experiment were conducted to validate the P cycle model. High coefficients of determination (R 2) between simulated and observed values indicate that the model provides reliable results. P uptake variations were the same as the net primary productivity (NPP) trends, which were affected by soil temperature and moisture in the temperate continental monsoon climate. Beginning in June, the monthly content increased, with the maximum appearing in August, when the most precipitation and the highest temperatures occur. The spatial distribution of P uptake rates from March to September showed that areas near water frequently had relatively high values from May to August, which is contrary to results obtained in March, April, and September. The P uptake amounts for different land uses changed according to expectation. The average monthly P uptake rates for farmlands and grasslands were more than those for orchards and lowlands, which had moderate P uptake rates, followed by shrubs and forests. The spatial distribution of soil erosion demonstrated that the soil erosion came primarily from high-intensity agricultural land in the western and central areas, while the northern and eastern study regions, which were less affected by human activity, experienced relatively slight soil erosion. From the point of view of P pollution prevention, the spatial structure of riparian zones and the spatial distribution of land use around the Guanting reservoir are thus not favorable. 相似文献