中国区域性暴雨事件未来变化:RegCM4动力降尺度集合预估

区域性暴雨事件由于影响范围大、持续时间长,更易引发严重洪涝灾害,对经济社会可持续发展构成严重威胁。因此,预估区域性暴雨事件的未来变化对于气候变化适应和灾害风险管理意义重大。本文基于区域气候模式RegCM4对4个全球气候模式的动力降尺度模拟,利用“追踪式”客观识别方法,对我国区域性暴雨进行了识别,并从发生频次、持续时间、平均降水量、平均影响范围和综合强度5个方面预估了其在RCP4.5情景下的未来变化。多模式预估结果表明,我国平均区域性暴雨事件的发生频次、持续时间、平均降水量、平均影响范围和综合强度到21世纪末均呈不同程度的上升趋势。与1986—2005年相比,无论在21世纪中期(2046—2065年)还是末期(2080—2099年),位于“低值区”的事件出现频率减少,而位于“高值区”的事件出现频率增加。轻度区域性暴雨事件发生频次将减少,而中度、重度和严重的区域性暴雨事件发生频次将增加。在空间分布上,区域性暴雨事件的发生频次、持续时间和降水量均在我国东部区域大范围增加,并且三者增幅的空间分布型态较为一致。增加最显著的区域主要位于长江中下游、江南和华南地区,而且到21世纪末期的增加幅度大于中期。     

Simulation and Projection of Climate Change in Qinling and Surrounding Areas with NEX-BCC Model

Based on NEX-BCC_CGM1.1 global daily statistics downscaling climate data set, the latest release by American National Aeronautics and Space Administration (NASA), which has representative concentration path, by using linear fitting and empirical orthogonal function (EOF) analysis methods, the simulation capacity on precipitation and temperature in Qinling and its surrounding areas of this data sets was estimated and the possible changes of the precipitation, daily maximum and minimum temperature in the next stage under the two scenarios of Rcp4.5 and Rcp8.5 were analyzed. Results showed that: ①The inter-annual trend of average daily precipitation, maximum temperature, minimum temperature is simulated well by NEX-BCC_CGM1.1. The spatial distribution was in accordance with the observations. The deficiency is that the elements value and extreme frequency have systemic bias compared with the observations. ②Average daily precipitation will have increasing trend in the future in Qinling and its surrounding areas under the two scenarios of Rcp4.5 and Rcp8.5. For different level precipitation frequency, light rains will reduce and rainstorms will increase in the future. The spatial modes of precipitation in the future are shown as the variation of the uniform increase in the whole region (EOF1) and anti-phase change in northern and southern Qinling (EOF2). EOF1 will be positive phase in medium-term in the Mid-21^st century, where there will be significantly more means precipitation. ③Under the two scenarios, temperature warming trend is obvious, daily maximum temperature increasing trend is greater than minimum temperature, and the amplitude of temperature increase under Rcp8.5 is higher than Rcp4.5. The frequency of daily maximum temperatures greater than 36 ℃ will increase and low temperature less than -15 ℃ will reduce in the future, at the same time, high temperature (low temperature) increase (decrease) rate is more pronounced under Rcp8.5. Average daily maximum and minimum temperatures are shown uniform warming in the whole region (EOF1) and anti-phase change in northern and southern Qinling under two scenarios, but the spatial distribution has great difference.     

气候变暖对甘肃干旱气象灾害的影响

应用甘肃80个地面气象站1960-2005年的降水量和气温序列资料,分析了降水量和气温的变化趋势以及降水量和气温的变化对干旱气象灾害的影响.结果表明:甘肃全省年平均气温总体呈明显升高趋势,年降水量总体呈明显减少趋势;甘肃气候变化总体呈暖干趋势.其中,河西呈微弱的暖湿趋势,河东呈显著的暖干旱趋势.3~10月全省年平均降水量与干旱受灾面积和粮食减产量呈显著负相关,全省平均气温与干旱受灾面积和粮食减产量均呈显著正相关.气候暖干化趋势对农业产生的负面影响,是导致干旱受灾面积扩大、粮食减产量增加的主要原因,同时也影响粮食安全.     

Temporal and Spatial Distribution Characteristics of Colored Dissolved Organic Matter in Coastal Waters of Jiangsu Province

Colored Dissolved Organic Matter (CDOM) is one of important ocean color factors. In the background of “Jiangsu Coastal Development”, it is important to monitor the water quality and pollution status of coastal waters by analyzing its spatial and temporal distribution characteristics with remote sensing data. This paper was based on the high temporal resolution of Geostationary Ocean Color Imager (GOCI) image downloaded from Korea Ocean Satellite Center. The temporal-spatial distribution of CDOM in Jiangsu coastal waters was analyzed on daily, weekly and monthly time scales from April, 2011 to May, 2016. CDOM in Jiangsu coastal waters are mainly terrigenous, and higher inshore than that of offshore. The monthly average concentration of CDOM in the western coast of the South Yellow Sea was 0.167~0.201 m^-1, and those of central and southern regions were 0.086~0.187m^-1. The maximum values were outside the maximum turbidity zone of the Yangtze River Estuary, which was 0.180~0.206 m^-1 (absorption coefficient at 440 nm). The diurnal variation of CDOM in near shore waters was found to coincide with the change of tide, which decreased at first and then increased in the sea area. By fitting the monthly mean using cosine function, significantly cyclical variation of mean CDOM was found in the South Yellow Sea. The central region of the South Yellow Sea waters fitting coefficient was 0.823. Affected by the Yellow Sea cold water mass, the sub-regions of the South Yellow Sea changed seasonally, whose CDOM concentration in winter and spring was higher than that in summer and autumn. Because of Changjiang Diluted Water and other water masses, seasonal variation of the Yangtze River Estuary was contrary to that of the South Yellow Sea. On monthly scale, CDOM concentration was positively correlated with total suspended matter, with correlation coefficient r being 0.72. The trend of the central and southern region was more significant.     

东北地区地温和冻结深度时空特征的细化分析

根据东北地区144个国家气象站1951—2016年的地温和土壤冻结深度资料,采用实测资料统计及统计建模推算的方法,对东北地区地温和冻结深度时空特征进行了细化分析。结果表明：东北地区地温整体由南到北逐渐降低,冻结深度逐渐增大。各层年平均地温呈向北2个纬度降低1 ℃左右,年平均最大冻结深度为向北2~3个纬度加深30 cm左右,极端最大冻结深度为向北2个纬度加深30 cm左右。地温和冻结深度与纬度关系显著,与经度和海拔也有一定相关性,但在东北北部的多年冻土区基本不受后两者影响。不同深度的地温季节特征不同,地表温度季节特征与气温一致,160 cm以下深度四季温度从高到低为秋、夏、冬、春。地表夏季与冬季温差达到33.5 ℃,而320 cm深处最热季与最冷季的温差仅为7 ℃。气候变暖使得东北地区各层地温升高、冻结深度减小、冻结期缩短,尤其在多年冻土区及其临近的高纬度季节冻土区更为显著。相对于下层土壤,地表升温最大。伊春地表升温趋势达到1.16 ℃?（10a）^-1,40~320 cm土层升温趋势为0.60 ℃?（10a）^-1左右,冻结深度减小、冻结期缩短趋势分别达到 23 cm?（10a）^-1、8 d?（10a）^-1,大幅升温不利于多年冻土的存在。     

祁连山疏勒河上游基流变化及其影响因素分析

基流是河川径流的重要组成部分,也是干旱半干旱地区最重要的枯季水文特征之一. 基流在维持河川径流和维护河流湖泊生态等方面具有重要意义. 基于祁连山疏勒河上游出山口控制水文站昌马堡站1954-2009年的日径流资料,采用递归数字滤波法和平滑最小值法对日径流进行基流分割,对比分析基流和基流指数BFI的变化特征,并从气温和降水两方面探讨基流变化的主要影响因素. 结果表明：两种方法的计算结果有差异,但平滑最小值法更适用于研究区. 疏勒河上游多年平均基流量为6.07×10⁸m³,基流变化总体上呈上升趋势,进入21世纪以后基流量增加最为显著. 研究区多年平均基流指数为0.66,基流指数的年际变化相对比较稳定,但年内波动幅度较大. 在长时间尺度上,降水是基流变化的主要影响因素,降水量的增加在一定程度上影响了基流和基流指数的变化. 在全球变暖的背景下,气温升高导致冰雪融水的增加和冻土的退化,间接的影响了基流的变化.     

祁连山西段冰川区与非冰川区气温梯度年内变化特征

为研究冰川区与非冰川区不同下垫面对气温梯度的影响。本文利用祁连山老虎沟流域4 180 m, 4 550 m和5 040 m处的三个气象站及肃南、肃北、托勒、玉门、酒泉、瓜州、敦煌等七个国家气象站2011-2013年的日平均气温资料,分析了祁连山西段冰川区与非冰川区年内气温梯度特征,并结合相应时段的降水资料以及其他气象因素对其变化特征做了分析。结果表明：（1）在非冰川区,气温梯度随海拔上升而增大,且有明显的月际波动特征,年内梯度呈现先减后增的趋势,夏季最大,冬季最小,年气温梯度为0.50℃·（100m）^-1;（2）在冰川区,气温梯度呈现先增后减的趋势,夏季最小,冬季最大,年气温梯度为0.61℃·（100m）^-1,日内变化特征为白天气温梯度变化幅度大但值较小,夜间变化幅度小,稳定在0.83℃·（100m）^-1左右,日内平均气温梯度为0.49℃·（100m）^-1;（3）冰川区与非冰川区年内温度梯度与降水梯度呈相反的变化趋势,表明降水对气温梯度变化有一定的影响。（4）由于非冰川区与冰川区下垫面不同,气温梯度呈相反的年内变化趋势,在由非冰川区气温推算冰面气温时必须考虑温跃值影响,老虎沟12号冰川年平均温跃值为1.30℃。     

Features of climate change and their effects on glacier snow melting in Xinjiang,China

The features of climate change and their effects on glacier snow melting in the past 50 years (1961–2010) in Xinjiang were studied. Regional climate data for 49 meteorological stations in the Tianshan Mountains and the northern and southern areas of Xinjiang were collected with the aid of techniques such as climatological statistical diagnosis, regional climate models, remote sensing, and geographic information system. The annual average temperature displayed a rising trend across the Tianshan mountainous area and both areas of Xinjiang. The trend was particularly apparent in winter and autumn with the rate of increase in the annual average minimum temperature being significantly higher than that of the maximum temperature. Rainfall also tended to increase in all three areas over the 50-year period, with the magnitude of change being highest in the mountainous area followed by northern Xinjiang and then southern Xinjiang. As a result of the rising temperatures, there was a negative material balance among the region's glaciers, of which the year 1982/1983 was the key year for the development of Tianshan mountain glacier snow. After this date, glacial ablation intensified with an annual change increase in average temperature of 1 °C, leading to a glacier material balance change of about 300 mm. To establish rainfall and temperature sequences for three regional climate change scenarios in the 2011–2050 period, we adopted the delta method using actual measurements during the 1961–2000 period against corrected data from rainfall and temperature simulations. All three scenarios indicated that temperatures will continue to increase, that the increase in rainfall may decrease in mountainous regions but will increase in the basin, and that the speed of glacial ablation in Xinjiang will continue to accelerate.     

近40a来江河源区生态环境变化的气候特征分析

利用月气象资料,对过去40a江河源气候变化特征进行分析,并与全球、全国、青藏高原进行了比较.结果表明:江河源区气温具有增暖趋势,近40a两地年平均气温分别增加约0.8℃和0.7℃,为高原异常变暖区.黄河源区变暖的主要特征是最低气温变暖,日照时数增加;最低、最高气温的显著变暖,以及较黄河源区增加更长的日照时数是长江源区变暖的主要特征.长江源区冬季变暖的作用不是主要的,春季、夏季和秋季的变暖作用比冬季还要大;黄河源区的变暖也并不主要是冬季变暖造成的,秋季变暖的作用与其相当,其它季节的变暖作用也不能忽视.近40a来江河源区降水量略有增加,主要体现在20世纪80年代中后期以来春季与冬季降水量的明显增加,夏季降水量虽然总体上没有明显变化,且局地夏季降水量呈持续减少趋势.与全球、全国以及高原区对比显示,江河源区对全球气候变暖的响应最敏感,变暖首先从长江源和整个高原发端,之后15a.黄河源和全国才进入显著温暖期.黄河源与长江源北部降水量的增加表明,气候变暖有利于高原增加降水量.     

宁夏沿黄经济区蒸散量变化特征及水均衡方法验证

在干旱的内陆地区,蒸散是地表水和地下水主要的排泄方式之一,准确估算地表蒸散量为干旱区水资源合理开发利用、生态环境保护提供理论依据。基于MODIS遥感数据,应用SEBS模型估算了宁夏沿黄经济区2001—2014年的区域蒸散量,分析了其影响因素,并应用水均衡原理对蒸散量计算结果的可靠性进行了验证。结果表明:沿黄经济区的年蒸散量在2001—2014年间总体上是逐渐增加的,从2001年的434.27 mm增加为2014年的517.82 mm;研究区主要的蒸散量为耕地蒸散量,农业占据了全区近2/3的耗水量;SEBS模型与水均衡原理计算的蒸散量结果吻合度较高,很好地验证了SEBS模型计算区域地表蒸散量的可靠性。     

Future changes in rainfall,temperature and reference evapotranspiration in the central India by least square support vector machine

Climate change affects the environment and natural resources immensely. Rainfall, temperature and evapotranspiration are major parameters of climate affecting changes in the environment. Evapotranspiration plays a key role in crop production and water balance of a region, one of the major parameters affected by climate change. The reference evapotranspiration or ET₀ is a calculated parameter used in this research. In the present study, changes in the future rainfall, minimum and maximum temperature, and ET₀ have been shown by downscaling the HadCM3 (Hadley Centre Coupled Model version 3) model data. The selected study area is located in a part of the Narmada river basin area in Madhya Pradesh in central India. The downscaled outputs of projected rainfall, ET₀ and temperatures have been shown for the 21st century with the HADCM3 data of A2 scenario by the Least Square Support Vector Machine (LS-SVM) model. The efficiency of the LS-SVM model was measured by different statistical methods. The selected predictors show considerable correlation with the rainfall and temperature and the application of this model has been done in a basin area which is an agriculture based region and is sensitive to the change of rainfall and temperature. Results showed an increase in the future rainfall, temperatures and ET₀. The temperature increase is projected in the high rise of minimum temperature in winter time and the highest increase in maximum temperature is projected in the pre-monsoon season or from March to May. Highest increase is projected in the 2080s in 2081–2091 and 2091–2099 in maximum temperature and 2091–2099 in minimum temperature in all the stations. Winter maximum temperature has been observed to have increased in the future. High rainfall is also observed with higher ET₀ in some decades. Two peaks of the increase are observed in ET₀ in the April–May and in the October. Variation in these parameters due to climate change might have an impact on the future water resource of the study area, which is mainly an agricultural based region, and will help in proper planning and management.     

Variations in annual winter mean temperature in South China since 1736

Modern meteorological observations in South China from 1960 to 2009 show a strong correlation between winter temperatures and two snowfall parameters, the southern boundary of the snow and the number of snowy days. Based on this relationship, the variation in annual winter mean temperature in South China from 1736 to 2009 was reconstructed using data acquired from Chinese historical documents dating from the Qing dynasty, such as memos and local gazettes. The reconstructed time series were used to analyse variations in winter temperature in South China. Significant interannual and interdecadal changes were found. The maximum temperature difference between neighbouring years was 3.1 °C for 1958–2009 and 3.0 °C for 1736–1957, whereas the maximum temperature difference between adjacent decades was 0.8 °C for the 1960s–2000s and 0.6 °C for the 1740s–1950s. The 2000s was the warmest decade; the mean temperature was 1.6 °C higher than that of the 1870s, which was the coldest decade between the 1740s and the 2000s. The mean winter temperature was warmer in the 18th and 20th centuries and coldest in the 19th century.     

二连盆地洼槽分类及其油气勘探意义

二连盆地已发现56个凹陷和21个凸起,每个凹陷按腾一段地层沉积中心的分割性可划分为2~3个洼槽。为开展洼槽地质分类及其与生烃潜力的相关性研究,通过对10个含油凹陷23个洼槽的地质和地球化学资料统计分析,发现各洼槽的古生界基底顶面(T_g)最大埋深、洼槽面积、阿尔善组及腾一段沉积期间的古水体盐度分别对阿尔善组和腾一段两套烃源岩的最大总厚度及成熟度、面积、有机质丰度及类型存在控制作用。据此提出按照基底埋深、深洼带面积和阿尔善组及腾一段的古水体盐度特征将洼槽划分为高熟型、成熟型和低熟型3大类14小类。结合洼槽生烃潜力评价,认为富生烃洼槽总体属于高熟大中型洼槽和成熟大中型咸水洼槽,咸水洼槽具有更优越的源储条件,更有利于致密油勘探。由于高熟咸水洼槽在马尼特坳陷和乌兰察布坳陷更发育,在勘探选区上应优先考虑这两个坳陷内的洼槽。     

1961 - 2017年中国东北地区降雪时空演变特征分析

利用东北地区162个气象台站逐日降水量和天气现象数据, 采用统计分析方法, 对近57年（1961 - 2017年）降雪的气候特征和时空演变规律进行了分析。结果表明： 降雪量和降雪日数最多出现在12月, 小雪和中雪最多出现在11月或12月, 大雪和暴雪在冬末春初出现概率最高。降雪分布为山地大于平原, 平原地区自北向南、 自东向西减少, 降雪高值区主要位于大兴安岭北部、 小兴安岭和长白山区, 降雪强度中心位于长白山区和辽宁中部平原地区。年、 秋季、 冬季、 春季降雪量占同期降水量比例分别为4.7%、 7.0%、 84.4%和7.6%; 辽宁省西部山区和南部大连地区日最大降雪量占年总降雪量比例最高, 最长连续降雪日数在2 d以下, 降雪较高纬度地区更为集中。近57年降雪量和降雪强度分别以1.93 mm?（10a）^-1和0.11 mm?d^-1?（10a）^-1的速率显著增加, 降雪日数以2.08 d?（10a）^-1速率显著减少; 降雪量增加主要表现为各等级降雪量的增加, 降雪日数减少主要是微量和小雪日数的减少, 降雪强度增加主要为大雪和暴雪降雪强度的增加。年、 秋季和冬季降雪量占同期降水量比例平均每10年增加0.36%、 0.48%和0.45%, 春季以0.11%?（10a）^-1的速率减少。中雪、 大雪和暴雪对降雪贡献率均呈增加趋势, 小雪降雪量和微量降雪日数贡献率减少; 1987年降雪量和降雪日数突变后, 微量降雪日数和暴雪日数、 小雪降雪量贡献率改变显著。就区域平均而言, 2001 - 2017年的降雪量较1961 - 1980年增加了27.8%, 降雪日数减少了22.4%。     

人类活动引起的我国西北地区21世纪温度和降水变化情景分析

使用IPCCWG1第三次科学评估报告中给出的7个全球气候系统模式的模拟预测结果,分析了人类活动对中国西北地区气候变化的影响.模拟结果表明,由于温室气体增加(GG)或温室气体与硫化物气溶胶(GS)增加,21世纪西北地区气温将可能平均变暖42～60℃·100a^-1.降水的变化较为复杂,由于温室气体的影响,未来西北地区降水将增加;考虑温室气体和硫化物气溶胶的共同影响,则略有增加.模式平均结果表明,未来西北地区降水将可能增加15～39mm·100a^-1.     

鲁西隆起北侧博兴洼陷新生界碎屑重矿物记录及其对构造古地理环境的指示

对鲁西隆起北侧博兴洼陷新生界碎屑重矿物组份和稳定性组合的研究发现：古近纪孔店组沉积期、沙河街组四段沉积晚期和沙河街组二段沉积期金红石、电气石、锆石和白钛矿等稳定碎屑莺矿物占优势,指示盆-山的构造古地理分异较弱;沙四段沉积早期、沙三段和沙一段沉积期绿帘石、榍石等不稳定碎屑重矿物占优势,表明构造古地理分异强烈.新近纪馆陶组稳定重矿物自下而上逐渐占据优势,表明该时期构造活动逐渐趋缓;明化镇组自下而上不稳定重矿物逐渐占优势,指示构造活动逐渐加强.根据砂岩中自生矿物赤（褐）铁矿的分析,认为其含量较高的孔店组、沙四段、沙段沉积期气候干旱,而含量较低的沙四段沉积末期一沙二段沉积期气候湿润;新近纪里赤（褐）铁矿含量向上增大,可能指示气候干旱程度加剧.     

基于CMIP6模式的黄河上游地区未来气温模拟预估

利用第六次国际耦合模式比较计划（CMIP6）提供的5个气候模式,并结合基于地面气象站的CN05.1气象资料,评估了CMIP6模式对黄河上游地区1961—2014年气温变化的模拟能力。基于7个共享社会经济路径及代表性浓度路径（SSP-RCP）组合情景,结合多模式集合平均预估了2015—2100年黄河上游地区年均气温和季平均气温的时空变化规律。结果表明：多模式集合平均能较好地模拟黄河上游地区历史平均气温的空间分布格局与年变化。7个未来情景一致表明,2015—2100年黄河上游地区年平均气温呈现波动上升趋势［0.03～0.82 ℃?（10a）^-1］。其中,低辐射强迫情景下（SSP1-1.9、SSP1-2.6及SSP4-3.4）气温先呈现增加趋势,21世纪中期到达增幅峰值,之后增温呈现放缓趋势;而中、高辐射强迫情景下（SSP2-4.5、SSP3-7.0、SSP4-6.0及SSP5-8.5）气温表现为持续上升态势。空间上,未来气温增幅显著的区域位于黄河上游西部地区;时间上,呈现夏季增温快,春季增温慢。四季增温的空间分布呈现出一致特征,表现为西部增温强于东部,北部增温强于南部。研究结果可为黄河流域水资源管理及气候变化的适应性研究提供科学依据。     

1958-2008年山西气温变化的特征及趋势研究

With the original meteorological record, monthly report and informationized manufacture data of 109 stations during 1958-2008 archived by Shanxi Meteorological Information Center, the authors studied the variation trend and characteristics of average air temperature, average maximum and minimum air temperature, and average daily range of air temperature in Shanxi, the results show that: during the resent 51a, the warming trend of average air temperature, average maximum and minimum air temperature separately was 0.306℃/10a,0.337℃/10a and 0.363℃/10a in Shanxi, which was much higher than that of the corresponding period of the whole nation; the warming trend in winter, spring and autumn separately was 0.46℃/10a、0.35℃/10a和0.26 ℃/10a, the warming range was obviously higher than that of the whole nation, though, the warming range in summer was lower than that of the whole nation; the average daily range: was on descending trend in winter, summer and the whole year without exception, while in spring and autumn it was on weak upward trend. North Shanxi is not only the area where the seasonal and annual warming is the most obvious, but also is the area where the decreasing scope and extent of average daily range are maximum, Southwest Shanxi is the area where the increasing scope and extent of average daily range are maximum all the year round, in summer the air temperature appeared obvious dropping trend in the southeast of Shanxi; The contribution that the enhancing factor of urban heat island effect made to the seasonal average air temperature rising of moderate cities and above, is the highest in summer, and the lowest in winter.     

1953 - 2016年华山积雪变化特征及其与气温和降水的关系

利用华山气象站1953 - 2016年气象观测资料和1989 - 2016年Landsat TM卫星遥感影像数据, 分析华山积雪变化的基本特征及其与气温、 降水和大气环流的关系。结果表明： 1953 - 2016年华山平均积雪日数78.5 d, 积雪主要出现在每年的10月 - 次年5月, 64 a来积雪初日推迟, 终日提前, 初终间日数减少, 年度、 冬半年、 冬季积雪日数分别以8.3 d?（10a）^-1、 7.6 d?（10a）^-1、 4.7 d?（10a）^-1的减少率显著减少。1981 - 2016年华山年度最大积雪深度减少趋势不显著, 年度累积积雪深度以88.2 cm?（10a）^-1的减少率显著减少, 一年中积雪日数、 最大积雪深度和累积积雪深度的减少（小）趋势均以3月最为显著。1989 - 2016年华山区域积雪面积、 浅雪和深雪面积减少趋势不明显。1953 - 2016年华山年度、 冬半年、 冬季平均气温升高, 降水量减少。积雪日数与平均气温存在显著的负相关, 与降水量存在显著的正相关, 气温是影响华山积雪日数的最主要因素。年度、 冬半年和冬季积雪日数突变年份与相应时段平均气温突变年份相近。1953 - 2016年华山冬半年、 冬季平均气温和降水量均与大气环流指数相关显著, 华山冬半年和冬季积雪日数与同期西藏高原指数、 印缅槽强度指数、 南极涛动指数和西太平洋副高西伸脊点指数为明显的负相关, 与850 hPa东太平洋信风指数、 亚洲区极涡面积指数为明显正相关。     

黄河源区气温变化特征及预估分析

利用黄河源区青海段9个代表性站点1961-2017年逐日气温资料和未来RCP4.5排放情景下的预估数据,分析和预估了黄河源区年平均、年平均最高、年平均最低和极端气温变化特征。结果表明：近57年来年平均最高、年平均、年平均最低气温均呈显著上升趋势且倾向率依次增大。年平均气温和年平均最高气温在1997年存在显著突变。通过分析1961-1997年、1998-2007年以及2008-2017年阶段性变化可知,年平均气温持续上升,年平均最高气温先上升后趋于稳定,而年平均最低气温升温速率在1998-2007年最大,2008-2017年升温速率较1998-2007年有所降低。暖昼日数持续增多,霜冻日数和冰封日数持续减少,冷夜日数在1998-2007年减少速率最低,近10年来减少速率增大。未来33年黄河源区年平均、年平均最高、年平均最低气温和极端暖事件均呈明显的增加趋势,极端冷事件呈减少趋势。对黄河源区过去和未来气温变化规律进行了探讨,将为该区域气温变化对策的制定与实施提供理论依据。