A distributed water-heat coupled model for mountainous watershed of an inland river basin of Northwest China (I) model structure and equations

It is absolutely necessary to quantify the hydrological processes in earth surface by numerical models in the cold regions where although most Chinese large rivers acquire their headstreams, due to global warming, its glacier, permafrost and snow cover have degraded seriously in the recent 50 years. Especially in an arid inland river basin, where the main water resources come from mountainous watershed, it becomes an urgent case. However, frozen ground’s impact to water cycle is little considered in the distributed hydrological models for a watershed. Took Heihe mountainous watershed with an area of 10,009 km², as an example, the authors designed a distributed heat-water coupled (DWHC) model by referring to SHAW and COUP. The DWHC model includes meteorological variable interception model, vegetation interception model, snow and glacier melting model, soil water-heat coupled model, evapotransporation model, runoff generation model, infiltration model and flow concentration model. With 1 km DTM grids in daily scale, the DWHC model describes the basic hydrological processes in the research watershed, with 3∼5 soil layers for each of the 18 soil types, 9 vegetation types and 11 landuse types, according to the field measurements, remote sensing data and some previous research results. The model can compute the continuous equation of heat and water flow in the soil and can estimate them continuously, by numerical methods or by some empirical formula, which depends on freezing soil status. However, the model still has some conceptual parameters, and need to be improved in the future. This paper describes only the model structure and basic equations, whereas in the next papers, the model calibration results using the data measured at meteorological stations, together with Mesoscale Model version 5 (MM5) outputs, will be further introduced.     

水文模型在估算冰川径流研究中的应用现状

冰川径流估算是气候变化风险评估和水资源可持续管理的重要内容.冰川径流估算方法主要包括:直接观测法、冰川物质平衡法、水量平衡方程法、水化学示踪法和水文模型法.本文首先对五种方法的应用情况进行简要总结,进而重点阐述水文模型法在估算冰川径流研究中的应用现状.水文模型法是冰川径流估算研究中使用最频繁的方法,使用方式主要包括耦合冰川模块和开发新的冰川水文模型.冰川水文模型中的消融算法主要包括温度指数模型(度日因子法)、修正的温度指数模型、能量平衡模型.受当前观测条件限制,修正的温度指数模型兼顾能量平衡模型和温度指数模型的优势而成为冰川水文模型中最流行的方法.随着学科的发展进步,能量平衡模型与水文模型的耦合将会成为未来的研究重点,发展大尺度分布式冰川水文模型是冰川水文学的未来发展方向之一.     

新疆阿尔泰山区克兰河上游水文过程对气候变暖的响应

额尔齐斯河支流克兰河上游发源于西风带水汽影响的阿尔泰山南坡,主要由融雪径流补给,年内积雪融水可占年径流量的45%.年最大月径流一般出现在6月份,融雪季节4~6月径流量占65%.流域自20世纪60年代开始明显升温,年平均温度从50年代的1.4℃上升到90年代的5.2℃;年降水总量也呈增加趋势,尤其是冬季和初春增加最多.随着气候变暖,河流年内水文过程发生了很大的变化,主要表现在最大月径流由6月提前到5月,月径流总量增加约15%,4~6月融雪径流量也由占年流量的60%增加到近70%.在多年变化趋势上,气温上升主要发生在冬季,降水也以冬季增加明显,而夏季降水呈下降趋势;水文过程主要表现在5月径流呈增加趋势,而6月径流为下降趋势;夏季径流减少而春季径流增加明显.冬春季积雪增加和气温上升,导致融雪洪水增多且洪峰流量增大,使洪水灾害破坏性加大.近些年来气候变暖引起的年内水文过程变化,已经对河流下游的城市供水和农牧业生产产生了影响.     

内陆河高寒山区流域分布式水热耦合模型（Ⅰ）：模型原理

在全球变暖的背景下，我国多数大江大河源区存在冰川退缩、雪线上升以及多年冻土和季节冻土明显退化等现象，并由此造成河源区产流量减少以及生态环境恶化等诸多问题，这在内陆河山区流域体现的较为明显，但目前分布式水文模型中很少涉及冻土水热耦合问题。文章以黑河干流山区流域为例，构建了一个内陆河高寒山区流域分布式水热耦合模型（DWHC）。模型基于土壤水热连续性方程将流域产流、入渗和蒸散发过程融合起来，在植被截留、入渗、产流和蒸散发计算方面也有所改进和创新，部分模块具有多个可选择方案。模型设计了与中尺度大气模式MM5的嵌套接口，也可以用地面气象资料驱动。模型在1 km×1 km网格基础上，以日为时间步长，将流域土壤分为18类，土壤剖面分为3～5层不等，流域植被概化为9类。模型只需要土壤初始含水量、初始地温和常规气象资料，以及土壤和植被物理参数，就能够连续演算各层土壤的温度、液态含水量、固态含水量、感热传导、潜热变化、水势梯度、导水率以及水分入渗和毛细上升量等水文循环要素。主要介绍了模型的基本原理和构建思路，有关模型的地面资料驱动结果和与MM5嵌套结果部分，参见后续文章(Ⅱ)、(Ⅲ)。     

概念性水文模型在出山径流预报中的应用

根据HBV水文模型的基本原理，建立了西北干旱区内陆河出山径流概念性水文模型。该模型反映了我国西部山区流域的径流形成特征，将山区流域划分为高山冰雪冻土带和山区植被带两个基本海拔景观带来对山区径流的形成和汇流过程进行模拟计算，以常规气象站的月气温和降水量为模型的初始输入，模拟计算月出山径流量。应用该模型对河西走廊黑河祁连山北坡的山区流域水量平衡进行了模拟计算，并对年径流和逐月分配进行了预报。结果表明，从枯水年到丰水年，降水量、蒸发量、径流量和径流系数均增加，而冰川融水和积雪融水对出山径流的补给比重则减少，这表明了冰雪融水对径流的具有调节作用。黑河山区流域径流系数远比干旱内流区的平均值大，但要小于全国的平均径流系数。所提出的内陆河山区流域出山径流的模拟和预报模型对年径流量和月分配的预报具有较好的精度，可用于黑河以及其他西北干旱区内陆河出山径流的预报，为内陆河流域中下游的水资源分配和开发利用提供依据。     

Regional analysis of streamflow drought: a case study in southwestern Iran

Droughts are complex natural hazards that, to a varying degree, affect some parts of the world every year. The range of drought impacts is related to drought occurring in different stages of the hydrological cycle and usually different types of droughts such as meteorological, agricultural, hydrological, and socio-economical are the most distinguished types. Hydrological drought includes streamflow and groundwater droughts. In this paper, streamflow drought was analyzed using the method of truncation level (at 70 % level) by daily discharges at 54 stations in southwestern Iran. Frequency analysis was carried out for annual maximum series of drought deficit volume and duration. 35 factors such as physiographic, climatic, geologic and vegetation were studied to carry out the regional analysis. According to conclusions of factor analysis, the six most effective factors include watershed area, the sum rain from December to February, the percentage of area with NDVI <0.1, the percentage of convex area, drainage density and the minimum of watershed elevation, explained 89.2 % of variance. The homogenous regions were determined by cluster analysis and discriminate function analysis. The suitable multivariate regression models were ascertained and evaluated for hydrological drought deficit volume with 2 years return period. The significance level of models was 0.01. The conclusion showed that the watershed area is the most effective factor that has a high correlation with drought deficit volume. Moreover, drought duration was not a suitable index for regional analysis.     

Lake outburst and debris flow disaster at Kedarnath,June 2013: hydrometeorological triggering and topographic predisposition

Heavy rainfall in June 2013 triggered flash flooding and landslides throughout the Indian Himalayan state of Uttarakhand, killing more than 6000 people. The vast majority of fatalities and destruction resulted directly from a lake outburst and debris flow disaster originating from above the village of Kedarnath on June 16 and 17. Here, we provide a systematic analysis of the contributing factors leading to the Kedarnath disaster, both in terms of hydrometeorological triggering and topographic predisposition. Topographic characteristics of the lake watershed above Kedarnath are compared with other glacial lakes across the north-western Himalayan states of Uttarakhand and Himachal Pradesh, and implications for glacier lake outburst hazard assessment in a changing climate are discussed. Our analysis suggests that the early onset of heavy monsoon rainfall (390 mm, June 10–17) immediately following a 4-week period of unusually rapid snow cover depletion and elevated streamflow was the crucial hydrometeorological factor, resulting in slope saturation and significant run-off into the small seasonal glacial lake. Between mid-May and mid-June 2013, snow-covered area above Kedarnath decreased by around 50 %. The unusual situation of the lake being dammed in a steep, unstable paraglacial environment but fed entirely from snowmelt and rainfall within a fluvial dominated watershed is important in the context of this disaster. A simple scheme enabling large-scale recognition of such an unfavourable topographic setting is introduced. In view of projected 21st century changes in monsoon timing and heavy precipitation in South Asia, more emphasis should be given to potential hydrometeorological triggering of lake outburst and debris flow disasters in the Himalaya.     

Coupling a glacier melt model to the Variable Infiltration Capacity (VIC) model for hydrological modeling in north-western China

For the sustainable utilization of rivers in the mid and downstream regions, it is essential that land surface hydrological processes are quantified in high cold mountains regions, as it is in these regions where most of the larger rivers in China acquire their headstreams. Glaciers are one of the most important water resources of north-west China. However, they are seldom explicitly considered within hydrological models, and climate-change effects on glaciers, permafrost and snow cover will have increasingly important consequences for runoff. In this study, an energy-balance ice-melt model was integrated within the Variable Infiltration Capacity (VIC) macroscale hydrological model. The extended VIC model was applied to simulate the hydrological processes in the Aksu River basin, a large mountainous and glaciered catchment in north-west China. The runoff components and their response to climate change were analyzed based on the simulated and observed data. The model showed an acceptable performance, and achieved an efficiency coefficient R ² ≈ 0.8 for the complete simulation period. The results indicate that a large proportion of the catchment runoff is derived from ice meltwater and snowmelt water. In addition, over the last 38 years, rising temperature caused an extension in the snow/ice melting period and a reduction in the seasonality signal of runoff. Due to teh increased precipitation runoff, the Aksu catchment annual runoff had a positive trend, increasing by about 40.00 × 10⁶ m³ per year, or 25.7 %.     

Assessing climate change impacts on river hydrology – A case study in the Western Ghats of India

The objective of this study is to evaluate the hydrological impacts of climate change on rainfall, temperature and streamflow in a west flowing river originating in the Western Ghats of India. The long-term trend analysis for 110 yr of meteorological variables (rainfall and temperature) was carried out using the modified Mann–Kendall trend test and the magnitude of the trend was quantified using the Sen’s slope estimator. The Regional Climate Model (RCM), COordinated Regional climate Downscaling EXperiment (CORDEX) simulated daily weather data of baseline (1951–2005) and future RCP 4.5 scenarios (2006–2060) were used to run the hydrological model, Soil and Water Assessment Tool (SWAT), in order to evaluate the effect of climate change on rainfall, temperature and streamflow. Significant changes were observed with regard to rainfall, which have shown decreasing trend at the rate of 2.63 mm per year for the historical and 8.85 mm per year for RCP 4.5 future scenarios. The average temperature was found to be increasing at \(0.10\,^{\circ }\hbox {C}\) per decade for both historical and future scenarios. The impact of climate change on the annual streamflow yielded a decreasing trend at the rate of \(1.2\,\hbox {Mm}^{3}\) per year and 2.56 \(\hbox {Mm}^{3},\) respectively for the past and future scenarios. The present work also investigates the capability of SWAT to simulate the groundwater flow. The simulated results are compared with the recession limb of the hydrograph and were found to be reasonably accurate.     

Geo-spatial dynamics of snowcover and hydro-meteorological parameters of Astore basin,UIB, HKH Region,Pakistan

Snowcover dynamics and associated accumulation and depletion of snowcover along with its spatial and temporal scale mainly constitute hydrological phenomena of the given basin and are mostly controlled by the local climate variables. Snow accumulation and melting time and duration determine the cyclic volume of water resources and downstream availability. In this study, snowcover area (SCA) was extracted from remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) snow products (MOD10A2) for the period 2000–2016. Data for hydro-meteorological parameters was obtained from relevant departments acquired through their field stations. The analysis of 16-year satellite data shows that there is a slight increase in cryospheric area at high altitude. In Astore basin, the study concluded that 15–20% of the basin area is covered by glacier and snowcover may reach around 90–95% of the basin area due to accumulation of seasonal snow from the westerly wind circulation. Analysis of hydro-meteorological parameters showed significant correlation between temperatures (T_max, T_min) and river runoff while no significant correlation was observed between river runoff and rainfall. Similarly, significant inverse correlation was found between river runoff and Astore mean snowcover. At sub-altitudinal zone level (zones 1, 2, 3), river runoff has significant correlation with snowcover. Analysis of 20-year climate data along with river runoff depicts that river runoff is a general phenomenon of snowmelt when minimum temperature starts to rise above 4 °C during mid of April. The study highlights the importance and interdependence of meteorological parameters and snowcover dynamics in determining the hydrological characteristics of Astore Basin.     

基于水化学特征的长江源区生态水文学研究进展

气候变暖背景下,冰雪、冻土剧烈消融引起的寒区径流成分改变对流域径流演变规律及水循环机制产生了深刻影响。对长江源区各水体水化学特征及其生态水文学研究进行归纳总结,主要进展包括：长江源区的大气降水的水汽来源主要受西风环流和季风环流的控制。冰雪融水的水化学特征受到消融强度、消融持续时间和新雪融水的影响,同时在冰雪融水、积雪以及冰川融水之间可能存在化学离子的交换。冻土层上水受到降水、冰雪融水、地下冰融水等的混合补给,造成水化学特征变化的随机波动。海拔在4 500 m的地区是冻土层上水水化学特征对研究区离子控制源较为敏感的区域。随着海拔高度的增加,降雨直接补给对河水中化学离子的稀释作用逐渐减弱,同时,海拔从4 500 m到5 000 m的降水对河水中离子浓度的稀释效果最大,而在海拔5 000 m以上河水主要受冰雪融水的补给,降水和消融期的变化对河水水化学的影响很小。研究结果为更系统地认知寒区下垫面变化所引起的水文效应提供科学依据,为流域水资源的合理开发利用提供决策依据。     

CO<Subscript>2</Subscript> flux variation and its contribution area in the debris-covered area of Koxkar Glacier,Mt. Tianshan in China

During the formation and development of glacial meltwater runoff, hydrochemical erosion is abundant, especially the hydrolysis of K/Na feldspar and carbonates, which can consume H⁺ in the water, promote the formation of bicarbonate by dissolving atmospheric CO₂, and affect the regional carbon cycle. From July 21, 2015, to July 18, 2017, the CO₂ concentration and flux were observed by the eddy covariance (EC) method in the relatively flat and open moraine cover area of Koxkar Glacier in western Mt. Tianshan, China. We found that: (1) atmospheric CO₂ fluxes ranged from ??408.95 to 81.58 mmol m^?2 day^?1 (average ? 58.68 mmol m^?2 day^?1), suggesting that the study area is a significant carbon sink, (2) the CO₂ flux footprint contribution areas were primarily within 150 m of the EC station, averaging total contribution rates of 93.30%, 91.39%, and 90.17% of the CO₂ flux in the snow accumulation, snow melting, and glacial melting periods, respectively. Therefore, the contribution areas with significant influences on CO₂ flux observed at EC stations were concentrated, demonstrating that grassland CO₂ flux around the glaciers had little effect at the EC stations, (3) in the predominant wind direction, under stable daytime atmospheric stratification, the measurement of CO₂ flux, as interpreted by the Agroscope Reckenholz Tanikon footprint tool, was 79.09% ± 1.84% in the contribution area. This was slightly more than seen at night, but significantly lower than the average under unstable atmospheric stratification across the three periods of interest (89%). The average distance of the farthest point of the flux footprint under steady state atmospheric conditions was 202.61?±?69.33 m, markedly greater than that under non-steady state conditions (68.55?±?10.34 m). This also indicates that the CO₂ flux observed using EC was affected primarily by hydrochemical erosion reactions in the glacier area, (4) a good negative correlation was found between net glacier exchange (NGE) of CO₂ and air temperature on precipitation-free days. Strong ice and snow ablation could promote hydrochemical reactions of soluble substances in the debris area and accelerated sinking of atmospheric CO₂. Precipitation events might reduce snow and ice melting, driven by reduced regional temperatures. However, a connection between NGE and precipitation, when less than 8.8 mm per day, was not obvious. When precipitation was greater than 8.8 mm per day, NGE decreased with increasing precipitation, (5) graphically, the slope of NGE, related to daily runoff, followed a trend: snow melting period?>?snow accumulation period?>?early glacial ablation period?>?late glacier ablation period?>?dramatic glacier ablation period. The slope was relatively large during snow melting, likely because of CO₂ sinking caused by water–rock interactions. The chemical reaction during elution in the snow layer might also promote atmospheric CO₂ drawdown. At the same time, the damping effect of snow cover and the almost-closed glacier hydrographic channel inhibited the formation of regional runoff, possibly providing sufficient time for the chemical reaction, thus promoting further CO₂ drawdown.     

天山南坡黄水沟与清水河寒区流域极端水文事件对气候变化的响应

冰川、积雪和冻土变化产生的水文效应对下游水资源供给具有重要影响,近几十年来新疆区域洪水呈显著加重趋势,尤其是南疆区域洪水明显加剧. 以天山南坡黄水沟与清水河寒区流域为研究区域,通过分析水文站极端水文事件,结合流域上游山区巴伦台气象站资料,研究了高寒山地流域在气候变化背景下极端水文过程出现时间、年最大和最小径流的响应特征. 结果表明：1986年是水文过程的突变点,从1986年开始随着降水、气温的增加,河流径流量呈增加趋势;最大年径流出现时间从6月中下旬推迟到7月下旬;最大径流和最小径流与年径流量呈正相关关系,最大径流与夏季降水关系密切,而最小年径流与冬春季的气温关系密切. 随着1986年以来的气温升高,冻土退化产生的水文效应使冬季径流增加明显,也使年最小径流明显增大;1986年以来降水变化决定着年径流量增加,使年最大径流集中出现在夏季且量级增大. 总体来讲,20世纪80年代中期以后山区河流年极端洪峰量增大,洪水量增多,年际间变化幅度明显增大,从而对下游造成更严重的灾害. 因此,加强气候变化对寒区流域水资源和洪水灾害的影响评估,使科学技术在减灾方面发挥主导作用.     

喜马拉雅山北坡典型冰川流域水文过程比较研究北大核心CSCD

2005年为喜马拉雅山中段的暖干年,夏季气温为历年最高。本文利用2005年珠穆朗玛峰绒布冰川下游水文观测资料及附近定日气象站资料、羊卓雍湖卡鲁雄曲冰川流域水文资料及附近浪卡子站气象资料,分析了两个流域的融水过程,建立冰雪消融数值模型,并进行了对比研究。结果表明:统计相关得到两流域气温和降水高度相关性(r>0.8),说明在区域尺度上两个地区的气候过程相似。绒布冰川消融强度比卡鲁雄曲冰川约大2倍,冰川退缩速率二者也差2.5倍,说明用冰川消融气温估计的水量损失基本反映两地冰川变化的事实。本文提出的冰雪融水模型,可以用于两个冰川区之间广大无资料冰川流域融水及冰川变化的估计,以及恢复珠穆朗玛和喜马拉雅山脉其他地区的长期水文过程及水资源变化的计算。     

Application of a hydrometeorological model chain to investigate the effect of global boundaries and downscaling on simulated river discharge

In the current study, two regional climate models (MM5 and REMO) driven by different global boundary conditions (the ERA40 reanalysis and the ECHAM5 model) are one-way coupled to the uncalibrated hydrological process model PROMET to analyze the impact of global boundary conditions, dynamical regionalization and subsequent statistical downscaling (bilinear interpolation, correction of subgrid-scale variability and combined correction of subgrid-scale variability and bias) on river discharge simulation. The results of 12 one-way coupled model runs, set up for the catchment of the Upper Danube (Central Europe) over the historical period 1971–2000, prove the expectation that the global boundaries applied to force the RCMs strongly influence the accuracy of simulated river discharge. It is, however, noteworthy that all efficiency criteria in case of bias corrected MM5 simulations indicate better performance under ERA40 boundaries, whereas REMO-driven hydrological simulations better correspond to measured discharge under ECHAM5 boundaries. Comparing the hydrological results achievable with MM5 and REMO, the application of bias-corrected MM5 simulations turned out to allow for a more accurate simulation of discharge, while the variance in simulated discharge in most cases was better reflected in case of REMO forcings. The correction of subgrid-scale variability within the downscaling of RCM simulations compared to a bilinear interpolation allows for a more accurate simulation of discharge for all model configurations and all discharge criteria considered (mean monthly discharge, mean monthly low-flow and peak-flow discharge). Further improvements in the hydrological simulations could be achieved by eliminating the biases (in terms of deviations from observed meteorological conditions) inherent in the driving RCM simulations, regardless of the global boundary conditions or the RCM applied. In spite of all downscaling and bias correction efforts described, the RCM-driven hydrological simulations remain less accurate than those achievable with spatially distributed meteorological observations.     

喜马拉雅山珠峰绒布冰川流域径流模拟

基于2009年5-10月喜马拉雅山北坡珠峰绒布冰川流域实测水文气象数据、 50 m分辨率DEM和中国第一次冰川编目资料, 在HYCYMODEL水文模型中加入冰川消融子模块, 模拟了绒布冰川流域径流过程.冰川消融子模块以海拔5 180 m基站的实测日气温、 日降水作为模型输入, 把气温、 降水插值到该流域40个高程带中, 分别计算各高程带的冰川消融和裸地蒸发, 并考虑液态降水对冰面的加热作用.野外气象观测表明: 2009年5-10月流域海拔5 180~5 750 m内, 月气温递减率在0.63~0.73 ℃·(100m)^-1之间, 均值为0.70 ℃·(100m)^-1; 同期降水观测显示, 海拔5 180 m以下降水梯度为-7.3 mm·(100m)^-1, 该高度之上降水梯度为22 mm·(100m)^-1. HYCYMODEL水文模型的敏感性检验表明, 该流域径流变化主要受气温影响, 降水变化引起的径流变化较小, 气温和降水变化对流域径流的影响是非线性的.     

2001—2019年横断山区积雪时空变化及其影响因素分析

基于MOD10A2积雪产品提取横断山区积雪日数及积雪覆盖率等信息,结合横断山区129个地面气象站点的气象数据,采用趋势分析、相关分析及随机森林回归模型等方法分析了横断山区积雪时空分布特征及其影响因素。结果表明：年平均积雪覆盖率的年际变化呈不显著的下降趋势;年内变化呈“单峰”型曲线,其中3月积雪覆盖率最大,为55.04%。海拔3 000 m以上的积雪覆盖率较为稳定,海拔1 000~3 000 m之间的积雪覆盖率波动较大。受暖湿气流和地形影响,阴坡积雪覆盖率大于阳坡。横断山区积雪日数的分布具有纬度地带性,北部山区积雪分布广泛且积雪日数高,南部云贵高原积雪日数低。年均积雪日数介于55.16~79.47 d,积雪日数在28.46%的地区呈减少趋势,在21.66%的地区呈增加趋势,其中呈显著减少和显著增加的地区分别为2.65%和0.68%。中部康定市、九龙县及其周边地区减少趋势明显,北部杂多县—若尔盖县一线的高海拔山地增加趋势明显。积雪日数整体上与降水量、相对湿度呈正相关,与风速、气温和日照时数呈负相关。与降水量呈显著正相关的地区主要分布在西北部杂多县、称多县;与风速呈显著负相关的地区主要分布在西北部称多县、中部康定市;与气温呈显著负相关的地区主要分布在中部九龙县、西北部称多县;与相对湿度呈显著正相关的地区主要分布在北部杂多县—石渠县一线;与日照时数呈显著负相关的地区主要分布在东北部玛曲县、西北部称多县。积雪日数受气温和高程的影响最大,而日照时数和风速为次要因素。     

天山南坡台兰河流域冰川物质平衡变化及其对径流的影响

应用控制流域的径流及相关降水资料,通过模型重建了台兰河流域平均冰川物质平衡序列.结果显示,1957—2000年流域冰川平均年物质平衡为-287mm,累计冰川物质平衡-12.6m;44a来由于气温升温引起的冰川净消融相当于每年补给河流径流1.24×10⁸m³,占河流年径流量的15%.1982年以后,流域冰川物质平衡一直呈负平衡,1957—1981年平均物质平衡为-168mm·a^-1,1982—2000年平均为-445mm·a^-1.随着气候由暖干向暖湿转型,降水量增加,但冰川对气温的敏感性更大,冰川消融加快,冰川融水量持续增加.气温和降水量的变化与北大西洋涛动和北极涛动变化一致,其突变年份都在1986—1988年左右.     

气候变化对江河流量变化趋势影响研究进展

气候变化对基于自然稳定气候假定的流量变化趋势的检测和水资源评价方法提出了挑战。在流量变化趋势的检测中分离出气候变化的影响,不仅对水资源管理和水利工程设计有重要的应用价值,而且有助于了解气候变化以何种方式、在何时、何地、已经或尚未对水文循环产生影响,对改进气候模型的模拟与预测有重要的科学价值。 统计方法是检验流量变化趋势显著性的有效工具。直接用气候模型模拟和预测未来径流变化的可靠性取决于模型对当代降水模拟的可信度。多个气候模型集合分析有可能在一定程度上减少模型对降水、径流模拟的不确定性。近年发展起来的多个气候模型集合分析与统计显著性检验技术结合的方法,有可能模拟并预测出气候强迫导致大尺度径流空间分布的变化。随着气候模型尤其是陆—气耦合的区域气候模型对降水模拟的改进,可以预见径流变化的检测、归因和预测的趋同化模拟已为期不远。将温室气体外强迫导致的水文气候变化作为一个因子引入到水资源评价中,对于水资源管理经济与生态评估,以及未来的发展规划将是一件十分重要的变革。      

希夏邦马峰抗物热冰川区消融期气候特征

根据１９９３年夏季在希夏邦马峰抗物热冰川考察时取得的部分气象要素观测资料，结果表明，尽管夏季气温相对较高，但由于降水频繁，冰川表面降雪，通过增加冰面反射，削弱冰面消融，导致冰川水文循环水平低。温度观测揭示出受西南季风影响，夏季冰川区处于高温环境中；又由于相对远离主山脉，且无明显的山谷形态，该冰川区局地环流不发育，整个观测期间均受制于东南和南风控制之下