印度河上游Bagrot山谷降水稳定同位素变化及与水汽来源的关系          下载免费PDF全文

王邺凡  余武生  张寅生  张腾  高海峰  MUHAMMAD Atif Wazir 《干旱区地理》2019,42(2):252-262

利用2015年8月至2016年7月在印度河上游流域Bagrot山谷降水稳定同位素（δ18O和δD）观测结果以及当地气象资料，利用同位素示踪及统计分析方法，并结合HYSPLIT模型，对研究区降水稳定同位素变化特征、大气水线以及水汽来源进行了分析。结果表明，观测期间Bagrot山谷降水稳定同位素的季节变化明显，δ18O与δD秋冬季偏低，春夏季偏高，且与气温变化一致，存在显著的温度效应，而降水量效应不明显。而且发现，研究区局地大气水线截距和斜率均低于全球的，反映了降水过程中云下二次蒸发作用较为强烈，特别是，不同的降水形态导致该研究区局地大气水线的斜率和截距不同。当液态降水（降雨）发生时，由于在较为干旱的气候环境下，雨滴在降落的过程中受到二次蒸发相对较强，使得局地大气水线的斜率和截距偏低；而当固态降水（降雪）发生时，由于温度较低，受再循环水汽和二次蒸发的影响较小，导致局地大气水线的斜率和截距均偏高。Bagrot山谷及其周边地区，从南到北局地大气水线的斜率相差不大，而其截距总体上随着纬度升高而降低，可能与云下二次蒸发导致稳定同位素发生的不平衡分馏逐渐强烈有关。通过Bagrot山谷站点降水稳定同位素观测结果并结合HYSPLIT模型的后向追踪，研究还发现，研究区全年主要受西风环流以及局地环流的影响。但与研究区以北的临近站点（慕士塔格、和田等）相比有所不同，由于Bagrot山谷位置更靠南，其仍然偶尔受到来自南方的海洋性水汽影响。这一研究结果可能对该地区树轮稳定同位素记录的解译具有一定的指示意义。  相似文献   

波粒相互作用导致环电流质子沉降的卫星共轭观测          下载免费PDF全文

王杰  袁志刚  余雄东  薛祖祥 《地球物理学报》2020,63(6):2131-2140

波粒相互作用是环电流损失的重要机制之一,但波粒相互作用导致的环电流离子沉降而损失迄今为止缺乏直接的观测证据.基于磁层及电离层卫星的协同观测,本文报道了发生在2015年9月7日,由电磁离子回旋波(EMIC波)导致环电流质子沉降的共轭观测事件.在等离子体层的内边界,Van Allen Probe B卫星观测到,存在EMIC波的区域和不存在EMIC波的区域相比,离子通量的投掷角分布的各向异性变弱.我们将Van Allen Probe B卫星沿着磁力线投影到电离层高度,同时在该投影区域内DMSP 16卫星在亚极光区域观测到环电流质子沉降.而且,通过从理论上计算质子弹跳平均扩散系数,我们进一步证实观测的EMIC波确实能将环电流质子散射到损失锥中.本文的研究工作为EMIC波导致环电流质子沉降提供了直接的观测证据,揭示了环电流衰减的重要物理机制:EMIC波将环电流质子散射到损失锥中,从而沉降到低高度大气层中而损失.  相似文献   

近20年渤海叶绿素a浓度时空变化   总被引：3，自引：0，他引：3  

田洪阵  刘沁萍  Joaquim I. Goes  Helga do Rosario Gomes  杨萌萌 《海洋学报》2019,41(8):131-140

浮游植物作为食物链的基础，对海洋生态系统具有重要作用。渤海作为我国最大的内海和重要渔业生物的产卵场、育幼场和索饵场，该区浮游植物研究具有重要意义。叶绿素a浓度是反映浮游植物生物量的重要指标。利用Google Earth Engine平台，对1997–2010年的宽视场海洋观测传感器(SeaWiFS)叶绿素a浓度数据和2002–2018年的水色卫星中分辨率成像光谱仪传感器(MODIS Aqua)叶绿素a浓度数据进行合并，并研究其时空变化特征。研究表明，近20年来，渤海全年叶绿素a浓度增加了14.1%，且增加显著。叶绿素a浓度在所有季节都呈现增加趋势；除11月外，其他各月都呈现稳定或增加趋势。从滦河入河口沿岸至渤海海峡的渤海中部，叶绿素a浓度增加较明显。同时也分析了海洋表面温度、风速和降水量数据。夏季渤海周边区域降水量和风速增加以及秋季海表温度的降低都有助于同季叶绿素a浓度的升高。渤海浮游植物可能受陆源营养物质输入影响较大。  相似文献   

The effect of storm movement on infiltration,runoff and soil erosion in a semi-arid catchment     

Qihua Ran  Feng Wang  Jihui Gao 《水文研究》2020,34(23):4526-4540

Rainfall characteristics are key factors influencing infiltration and runoff generation in catchment hydrology, particularly for arid and semiarid catchments. Although the effect of storm movement on rainfall-runoff processes has been evaluated and emphasized since the 1960s, the effect on the infiltration process has barely been considered. In this study, a physically based distributed hydrological model (InHM) was applied to a typical semi-arid catchment (Shejiagou, 4.26 km²) located in the Loess Plateau, China, to investigate the effect of storm movement on infiltration, runoff and soil erosion at the catchment scale. Simulations of 84 scenarios of storm movement were conducted, including storms moving across the catchment in both the upstream and downstream directions along the main channel, while in each direction considering four storm moving speeds, three rainfall depths and two storm ranges. The simulation results showed that, on both the hillslopes facing downstream (facing south) and in the main channel, the duration of the overland flow process under the upstream-moving storms was longer than that under the downstream-moving storms. Thus, the duration and volume of infiltration under upstream-moving storms were larger in these areas. For the Shejiagou catchment, as there are more hillslopes facing downstream, more infiltration occurred under the upstream-moving storms than the downstream-moving storms. Therefore, downstream-moving storms generated up to 69% larger total runoff and up to 351% more soil loss in the catchment than upstream-moving storms. The difference in infiltration between the storms moving upstream and downstream decreased as the storm moving speed increased. The relative difference in total runoff and sediment yield between the storms moving upstream and downstream decreased with increasing rainfall depth and storm speed. The results of this study revealed that the infiltration differences under moving storms largely influenced the total runoff and sediment yield at the catchment scale, which is of importance in runoff prediction and flood management. The infiltration differences may be a potential factor leading to different groundwater, vegetation cover and ecology conditions for the different sides of the hillslopes.  相似文献   

基于IceBridge数据的南极别林斯高晋海的海冰厚度研究     

张建  杨元德  杨全明  汪楚涯 《冰川冻土》2020,42(2):295-306

海冰变化与全球气候、 生态系统和人类活动密切相关， 海冰厚度是海冰变化研究的重要参数之一。全面立体高精度观测海冰厚度的最有效手段是航空遥感， 而冰桥计划（IceBridge）是当前南北极最大的航空遥感工程。基于2009 - 2014年冰桥计划的激光雷达高程数据和数字测图系统相机光学影像对南极别林斯高晋海的海冰厚度进行研究， 并结合降雪量等气象数据探讨该区域海冰厚度变化的原因。研究发现该海域的海冰厚度在2009 - 2014年间整体呈微弱增长趋势（0.07 m·a^-1）， 但是在95%置信水平下不具有显著性。2009 - 2011年呈现先增加后减少的大幅度变化， 其中2010年达到极大值2.42 m， 之后开始缓慢增加。海冰厚度的年际变化与降雪和近地表温度等气象要素相关， 二者相比较而言降雪为主要影响因素。  相似文献   

非平稳标准化降水蒸散指数构建及中国未来干旱时空格局   总被引：3，自引：0，他引：3  

温庆志  孙鹏  张强  姚蕊 《地理学报》2020,75(7):1465-1482

旱灾是一种致灾因子与成害机理均非常复杂的自然灾害,也是目前对其检测与风险防御最为困难的自然灾害种类之一。随着全球气候变化,干旱的变化逐渐趋于非平稳化,水文气象序列的非平稳性已有广泛研究,但在干旱检测指标中却鲜有考虑。基于标准化降水蒸散指数（SPEI）和非平稳性理论,构建非平稳性标准化降水蒸散指数（NSPEI）并进行适用性评价,利用NSPEI评估未来不同排放情景下中国气象干旱时空格局演变规律。结果表明：① 非平稳性站点集中在东北平原、黄淮海平原、长三角地区、青藏高原及周边区域,NSPEI拟合最优的站点占中国气象站点的88%（2177个站点）。② SPEI对温度较为敏感,在评估未来干旱变化时会高估干旱强度和持续时间性,而NSPEI能够克服这一弱点,较SPEI可更好的检测中国气象干旱,且能很好的刻画中国未来干旱变化。③ 低、高排放情景下中国北方干旱加剧,南方呈湿润化趋势;中排放情景下中国北方湿润化趋势明显,而中国南方则呈干旱化。基于NSPEI干旱检测结果,中高排放情景下中国未来极端干湿历时与发生频率均呈增加趋势。  相似文献   

FIO-ESM气候模式北太平洋海表温度和降水的季节性预报技巧评估     

赵一丁  尹训强  宋亚娟  乔方利 《海洋学报(英文版)》2019,38(1):5-12

The seasonal prediction of sea surface temperature(SST) and precipitation in the North Pacific based on the hindcast results of The First Institute of Oceanography Earth System Model(FIO-ESM) is assessed in this study.The Ensemble Adjusted Kalman Filter assimilation scheme is used to generate initial conditions, which are shown to be reliable by comparison with the observations. Based on this comparison, we analyze the FIO-ESM 6-month hindcast results starting from each month of 1993–2013. The model exhibits high SST prediction skills over most of the North Pacific for two seasons in advance. Furthermore, it remains skillful at long lead times for midlatitudes. The reliable prediction of SST can transfer fairly well to precipitation prediction via air-sea interactions.The average skill of the North Pacific variability(NPV) index from 1 to 6 months lead is as high as 0.72(0.55) when El Ni?o-Southern Oscillation and NPV are in phase(out of phase) at initial conditions. The prediction skill of the NPV index of FIO-ESM is improved by 11.6%(23.6%) over the Climate Forecast System, Version 2. For seasonal dependence, the skill of FIO-ESM is higher than the skill of persistence prediction in the later period of prediction.  相似文献   

斑岩型和浅成低温热液型矿床成矿流体与找矿预测研究:以华南若干典型矿床为例     

倪培  迟哲  潘君屹 《地学前缘》2020,27(2):60-78

斑岩型和浅成低温热液型矿床是全球铜、钼、金、银的主要来源之一,具有重要经济价值。这两类矿床之间通常存在紧密的时空关系,对其成矿流体性质和演化的解剖不仅有利于探究金属沉淀机制,也有助于揭示两者之间的内在成因联系。本文在综述国内外重要研究前沿基础上,以中国华南富家坞斑岩型铜钼(金)矿、桐村斑岩钼矿,以及邱村和安村浅成低温热液金矿为例,系统总结了斑岩型和浅成低温热液型矿床流体特征、演化规律和金属沉淀机制、探讨了从斑岩型到浅成低温热液型流体演化的“气相迁移”模型,并以福建紫金山铜金矿床为例,介绍了应用流体填图进行找矿预测的实例。  相似文献   

Long‐term variations and temporal scaling of hydroclimatic time series with focus on the German part of the Elbe River Basin          下载免费PDF全文

D. Markovic  M. Koch 《水文研究》2014,28(4):2202-2211

Long‐term variations and temporal scaling of mean monthly time series of river flow, precipitation, temperature, relative humidity, air pressure, duration of bright sunshine, degree of cloud cover, short wave radiation, wind speed and potential evaporation within or in vicinity of the German part of the Elbe River Basin are analyzed. Statistically significant correlations between the 2–15 year scale‐averaged wavelet spectra of the hydroclimatic variables and the North Atlantic Oscillation‐ and Arctic Oscillation index are found which suggests that such long‐term patterns in hydroclimatic time series are externally forced. The Hurst parameter estimates (H) based on the Detrended Fluctuation Analysis (DFA) indicate persistence for discharge, precipitation, wind speed, air pressure and the degree of cloud cover, all having an annual cycle and a broad low‐frequency distribution. Also, DFA H parameter estimates are higher for discharge than for precipitation. The major long‐term quasi‐periodic variability modes of precipitation detected using Singular Spectrum Analysis coincide with those detected in the discharge time series. Upon subtraction of these low‐frequency quasi‐periodic modes, the DFA H parameter estimates suggest absence of the persistence for both precipitation and discharge. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

Assessing regression‐based statistical approaches for downscaling precipitation over North America          下载免费PDF全文

Jie Chen  François P. Brissette  Robert Leconte 《水文研究》2014,28(9):3482-3504

This paper assesses linear regression‐based methods in downscaling daily precipitation from the general circulation model (GCM) scale to a regional climate model (RCM) scale (45‐ and 15‐km grids) and down to a station scale across North America. Traditional downscaling experiments (linking reanalysis/dynamical model predictors to station precipitation) as well as nontraditional experiments such as predicting dynamic model precipitation from larger‐scale dynamic model predictors or downscaling dynamic model precipitation from predictors at the same scale are conducted. The latter experiments were performed to address predictability limit and scale issues. The results showed that the downscaling of daily precipitation occurrence was rarely successful at all scales, although results did constantly improve with the increased resolution of climate models. The explained variances for downscaled precipitation amounts at the station scales were low, and they became progressively better when using predictors from a higher‐resolution climate model, thus showing a clear advantage in using predictors from RCMs driven by reanalysis at its boundaries, instead of directly using reanalysis data. The low percentage of explained variances resulted in considerable underestimation of daily precipitation mean and standard deviation. Although downscaling GCM precipitation from GCM predictors (or RCM precipitation from RCM predictors) cannot really be considered downscaling, as there is no change in scale, the exercise yields interesting information as to the limit in predictive ability at the station scale. This was especially clear at the GCM scale, where the inability of downscaling GCM precipitation from GCM predictors demonstrates that GCM precipitation‐generating processes are largely at the subgrid scale (especially so for convective events), thus indicating that downscaling precipitation at the station scale from GCM scale is unlikely to be successful. Although results became better at the RCM scale, the results indicate that, overall, regression‐based approaches did not perform well in downscaling precipitation over North America. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献