土地覆盖与气候变化对黄河源区径流的影响

After dividing the source regions of the Yellow River into 38 sub-basins, the paper made use of the SWAT model to simulate streamflow with validation and calibration of the observed yearly and monthly runoff data from the Tangnag hydrological station, and simulation results are satisfactory.Five land-cover scenario models and 24 sets of temperature and precipitation combinations were established to simulate annual runoff and runoff depth under different scenarios. The simulation shows that with the increasing of vegetation coverage annual runoff increases and evapotranspiration decreases in the basin. When temperature decreases by 2℃ and precipitation increases by 20%,catchment runoff will increase by 39.69%, which is the largest situation among all scenarios.     

黄河河源区变化环境下分布式水文模拟

将黄河河源区划分为38个自然子流域,利用分布式水文模型模拟径流量,采用唐乃亥水文站逐年、月实测径流资料进行验证,得到了较好的模拟效果。文章建立了5种土地覆被情景模型及24组不同气温和降水的情景组合,分别模拟不同情景下的年径流量。模拟结果表明,随着植被覆盖度的增加,流域年径流量减小,蒸发量增加。当气温降低2_oC且降水增加20%时,流域径流量增加得最大,增加39.69%。     

黄河源区基流估算

河川基流在水安全、粮食安全、非点源污染评价、水资源评价和调查、水资源配置、工农业供水和降雨-径流关系模拟中有着重要的应用。黄河源区(唐乃亥水文站以上区域)的产水量占黄河流域的35%以上,是黄河流域的重要产水区,对黄河源区基流的估算就显得尤为重要。根据研究区域的气候特征,对加里宁法在本区域的应用提出了改进,并提出了新的计算程序。在此基础上,和电子滤波法进行了对比分析。结果表明,电子滤波法非常敏感,滤波参数β控制了基流在总径流中的比例,β与基流成负相关关系,对于不同的来水年份,其敏感性分析图形的形态都很相似;改进的加里宁法基流划分过程强烈地依赖于日过程线的起伏情况,基流一般随着退水系数的增加而增大,加里宁法分割的基流对于参数的变化并不敏感。     

三江源地区植被指数下降趋势的空间特征及其地理背景

利用8km分辨率的Pathfinder NOAA/AVHRR-NDVI数据,结合1km分辨率的DEM,1 ∶ 250000道路、居民点、水系数据以及野外调查数据,分析了植被指数变化总体态势、植被指数变化与海拔及与距道路、水源和居民点距离之间的关系,探讨了三江源区1981~2001年间植被指数变化趋势和空间分异特征。结果表明:①三江源地区植被指数变化以下降趋势为主,下降区域占源区总面积的18.92%,增加区域占13.99%;②不同植被和冻土类型下的植被指数下降特征:灌丛区和森林区下降率最高,下降率与各类型区的居民点密度、生计方式有关;植被指数下降程度与冻土类型关系不明显;③植被指数下降的区域差异明显:下降率各区域分别为长江源区13.56%、黄河源区32.51%和澜沧江源区18.1%;④植被指数下降率随着距道路、河流的距离增加而逐渐减小;下降率在距居民点18~24km的缓冲带上达到最高后随着距离增大而下降;植被指数下降率随着海拔高程的升高呈"低－高－低－高"态势,下降率与居民点的分布高度相关。     

Eco-environment range in the source regions of the Yangtze and Yellow rivers

Based on geographical and hydrological extents delimited, four principles are identified, as the bases for delineating the ranges of the source regions of the Yangtze and Yellow rivers in the paper. According to the comprehensive analysis of topographical characteristics, climate conditions, vegetation distribution and hydrological features, the source region ranges for eco-environmental study are defined. The eastern boundary point is Dari hydrological station in the upper reach of the Yellow River. The watershed above Dari hydrological station is the source region of the Yellow River which drains an area of 4.49×104 km2. Natural environment is characterized by the major topographical types of plateau lakes and marshland, gentle landforms, alpine cold semi-arid climate, and steppe and meadow vegetation in the source region of the Yellow River. The eastern boundary point is the convergent site of the Nieqiaqu and the Tongtian River in the upstream of the Yangtze River. The watershed above the convergent site is the source region of the Yangtze River, with a watershed area of 12.24×104 km2. Hills and alpine plain topography, gentle terrain, alpine cold arid and semi-arid climate, and alpine cold grassland and meadow are natural conditions in the source region of the Yangtze River.     

基于DEM的分布式水文模型在大尺度流域应用研究

本文选取空间大尺度黄河河源区流域为研究对象,利用分布式水文模型进行径流量模拟,采用1976～1985年唐乃亥水文站逐年、月实测径流资料进行参数率定,确定模型的基本参数,得到了较好的模拟效果。模拟结果表明气候变化是引起黄河河源区径流变化的主要原因。在80～90年代的20年间,黄河河源区由气候变化引起径流减少62.11亿m3,占径流变化总量的108.72%,由土地覆被变化引起径流增加5.73亿m3,增加量占径流变化总量的10.03%。     

黄河源区径流对气候变化的响应及未来趋势(英文)

This study examines the hydrological and meteorological data of the source region of the Yellow River from 1956 to 2010 and future climate scenarios from regional climate model (PRECIS) during 2010-2020. Through analyzing the flow variations and revealing the climate causes, it predicts the variation trend for future flows. It is found that the annual mean flow showed a decreasing trend in recent 50 years in the source region of the Yellow River with quasi-periods of 5a, 8a, 15a, 22a and 42a; the weakened South China Sea summer monsoon induced precipitation decrease, as well as evaporation increase and frozen soil degeneration in the scenario of global warming are the climate factors, which have caused flow decrease. Based on the regional climate model PRECIS prediction, the flows in the source region of the Yellow River are likely to decrease generally in the next 20 years.     

黄河源区草地农牧化对气候环境影响的数值模拟

 利用中尺度数值模式MM5,设计了一个控制试验和一个敏感性试验。模拟分析黄河源区草地农牧化对局地气候环境的影响,得到一些初步结论:在全球增暖的大背景下源区草地农牧化引起源区平均气温和地表温度升高,平均日较差增大;源区农牧区降水以增加为主,周围地区以减少为主;源区空气湿度、土壤湿度明显减小;地表径流增加,地下径流减小,增加的降水大部分随地表径流流失;农牧区感热通量增加,潜热通量减小,有效通量增加。源区植被改变对气候环境的影响状况不同于其他地区。     

江河源区生态环境范围的探讨

The Tibetan Plateau, as the origin of the Yangtze and Yellow rivers, is the region of climate variation and is very sensitive to climate change in China (Feng etal., 1998). The runoff in the upper reaches of the Yellow River has been decreasing at a rate of 9.8 m3/s per decade due to rapid climate warming in the Tibetan Plateau since the mid- and late 1980s (Zhang etal., 2000). Eco-environmental change is also extremely substantial in the source regions of the Yangtze and Yellow rivers. T…     

分布式水文模型在黄河流域的应用

流域的水资源规划和管理都离不开水资源的定量化评估。而准确评估流域的水资源量,尤其是在大流域,必须明晰不同气候、地形、土地利用等自然条件下的水文循环过程。同时农业灌溉及水库调节等人工的直接取水和调控使水文过程变得更为复杂。仅依靠气象及水文观测数据,已很难拟合出单一的降雨-径流关系来模拟和预测流域水资源的时空分布。这时就需要一种新型水文模拟手段,它可以利用地理信息来描述流域的空间不均一性,并基于物理控制方程来描述水文过程,这就是分布式水文模型。作者介绍了这种模型及其在黄河流域的应用。     

Climate transformation to warm-humid and its effect on river runoff in the source region of the Yellow River

The change characteristics and trends of the regional climate in the source region of the Yellow River, and the response of runoff to climate change, are analyzed based on observational data of air temperature, precipitation, and runoff at 10 main hydrological and weather stations in the region. Our results show that a strong signal of climate shift from warm-dry to warm-humid in the western parts of northwestern China （Xinjiang） and the western Hexi Corridor of Gansu Province occurred in the late 1980s, and a same signal of climate change occurred in the mid-2000s in the source region of the Yellow River located in the eastern part of northwestern China. This climate changeover has led to a rapid increase in rainfall and stream runoff in the latter region. In most of the years since 2004 the average annual precipitation in the source region of the Yellow River has been greater than the long-term average annual value, and after 2007 the runoff measured at all of the hydrologic sections on the main channel of the Yellow River in the source region has also consistently exceeded the long-term average annual because of rainfall increase. It is difficult to determine the prospects of future climate change until additional observations and research are conducted on the rate and temporal and spatial extents of climate change in the region. Nevertheless, we predict that the climate shift from warm-dry to warm-humid in the source region of the Yellow River is very likely to be in the decadal time scale, which means a warming and rainy climate in the source region of the Yellow River will continue in the coming decades.     

Response of runoff in the headwater region of the Yellow River to climate change and its sensitivity analysis

Response of the runoff in the headwater region of the Yellow River to climate change and its sensibility are analyzed based on the measured data at the four hydrological stations and ten weather stations during the period 1959-2008. The result indicates that change of temperature in the region has an obvious corresponding relationship with global warming and the changes of annual average temperature in each subregion in the region have been presenting a fluctuant and rising state in the past 50 years. However the change of precipitation is more intricate than the change of temperature in the region because of the influences of the different geographical positions and environments in various areas, and the change of annual precipitation in the main runoff-producing area has been presenting a fluctuant and decreasing state in the past 50 years. And there is a remarkable nonlinear correlativity between runoff and precipitation and temperature in the region. The runoff in the region has been decreasing continuously since 1990 because the precipitation in the main runoff- producing area obviously decreases and the annual average temperature continuously rises. As a whole, the runoff in each subregion of the headwater region of the Yellow River is quite sensitive to precipitation change, while the runoff in the subregion above Jimai is more sensitive to temperature change than that in the others in the region, correspondingly.     

黄河源区径流对气候变化的响应及敏感性分析(英文)

Response of the runoff in the headwater region of the Yellow River to climate change and its sensibility are analyzed based on the measured data at the four hydrological stations and ten weather stations during the period 1959–2008. The result indicates that change of temperature in the region has an obvious corresponding relationship with global warming and the changes of annual average temperature in each subregion in the region have been presenting a fluctuant and rising state in the past 50 years. However the change of precipitation is more intricate than the change of temperature in the region because of the influences of the different geographical positions and environments in various areas, and the change of annual precipitation in the main runoff-producing area has been presenting a fluctuant and decreasing state in the past 50 years. And there is a remarkable nonlinear correlativity between runoff and precipitation and temperature in the region. The runoff in the region has been decreasing continuously since 1990 because the precipitation in the main runoff-producing area obviously decreases and the annual average temperature continuously rises. As a whole, the runoff in each subregion of the headwater region of the Yellow River is quite sensitive to precipitation change, while the runoff in the subregion above Jimai is more sensitive to temperature change than that in the others in the region, correspondingly.     

Natural runoff changes in the Yellow River Basin

1IntroductionThe driving factors of runoff changes can be divided into precipitation factor and non-precipitation factor, and they can also be divided into natural factor and human activity factor. The influence of the natural factor includes precipitation reduction, precipitation features (for example, spatio-temporal distribution and intensity), landuse natural changes and so forth. All of these can cause runoff changes. Temperature, evaporation, topography, soil and geological environment i…     

黄河流域径流变化

The driving factors of runoff changes can be divided into precipitation factor and non-precipitation factor, and they can also be divided into natural factor and human activity factor. In this paper, the ways and methods of these driving factors impacting on runoff changes are analyzed at first, and then according to the relationship between precipitation and runoff, the analytical method about impacts of precipitation and non-precipitation factors on basin's natural runoff is derived. The amount and contribution rates of the two factors impacting on natural runoff between every two adjacent decades during 1956-1998 are calculated in the Yellow River Basin (YRB). The results show that the amount and contribution rate of the two factors impacting on natural runoff are different in different periods and regions. For the YRB, the non-precipitation impact is preponderant for natural runoff reduction after the 1970s. Finally, by choosing main factors impacting on the natural runoff, one error back-propagation (BP) artificial neural network (ANN) model has been set up, and the impact of human activities on natural runoff reduction in the YRB is simulated. The result shows that the human background of 1956-1979.     

Natural runoff changes in the Yellow River Basin

The driving factors of runoff changes can be divided into precipitation factor and non-precipitation factor, and they can also be divided into natural factor and human activity factor. In this paper, the ways and methods of these driving factors impacting on runoff changes are analyzed at first, and then according to the relationship between precipitation and runoff, the analytical method about impacts of precipitation and non-precipitation factors on basin's natural runoff is derived. The amount and contribution rates of the two factors impacting on natural runoff between every two adjacent decades during 1956-1998 are calculated in the Yellow River Basin (YRB). The results show that the amount and contribution rate of the two factors impacting on natural runoff are different in different periods and regions. For the YRB, the non-precipitation impact is preponderant for natural runoff reduction after the 1970s. Finally, by choosing main factors impacting on the natural runoff, one error back-propagation (BP) artificial neural network (ANN) model has been set up, and the impact of human activities on natural runoff reduction in the YRB is simulated. The result shows that the human activities could cause a 77×108 m3·a-1 reduction of runoff during 1980-1998 according to the climate background of 1956-1979.     

全球气候变化对黄河流域天然径流量影响的情景分析

本文从干旱指数蒸发率函数出发,以HadCM3 GCM对降水和温度的模拟结果为基础,在IPCC不同发展情景下,分析了未来近100年内黄河流域天然径流量的变化趋势。研究结果表明,在不同气候变化情景下,多年平均年径流量的变化随着区域的不同而有显著差异,其变化幅度在-48.0%²03.0%之间。全球气候变化引起的多年平均天然径流量的变化从东向西逐渐减小。就黄河流域而言,2006²035年、2036²065年、2066²095年A2情景下（人口快速增长、经济发展缓慢）多年平均天然径流量的变化量分别为5.0%、11.7%、8.1%,B2情景下（强调社会技术创新）相应的变化分别为7.2%、-3.1%、2.6%。     

江河源区NDVI时空变化及其与气候因子的关系(英文)

The source regions of the Yangtze and Yellow rivers are important water conservation areas of China. In recent years, ecological deterioration trend of the source regions caused by global climate change and unreasonable resource development increased gradually. In this paper, the spatial distribution and dynamic change of vegetation cover in the source regions of the Yangtze and Yellow rivers are analyzed in recent 10 years based on 1-km resolution multitemporal SPOTVGT-DN data from 1998 to 2007. Meanwhile, the correlation relationships between air temperature, precipitation, shallow ground temperature and NDVI, which is 3×3 pixel at the center of Wudaoliang, Tuotuohe, Qumalai, Maduo, and Dari meteorological stations were analyzed. The results show that the NDVI values in these two source regions are increasing in recent 10 years. Spatial distribution of NDVI which was consistent with hydrothermal condition decreased from southeast to northwest of the source regions. NDVI with a value over 0.54 was mainly distributed in the southeastern source region of the Yellow River, and most NDVI values in the northwestern source region of the Yangtze River were less than 0.22. Spatial changing trend of NDVI has great difference and most parts in the source regions of the Yangtze and Yellow rivers witnessed indistinct change. The regions with marked increasing trend were mainly distributed on the south side of the Tongtian River, some part of Keqianqu, Tongtian, Chumaer, and Tuotuo rivers in the source region of the Yangtze River and Xingsuhai, and southern Dari county in the source region of the Yellow River. The regions with very marked increasing tendency were mainly distributed on the south side of Tongtian Rriver and sporadically distributed in hinterland of the source region of the Yangtze River. The north side of Tangula Range in the source region of the Yangtze River and Dari and Maduo counties in the source region of the Yellow River were areas in which NDVI changed with marked decreasing tendency. The NDVI change was980 Journal of Geographical Sciences positively correlated with average temperature, precipitation and shallow ground temperature. Shallow ground temperature had the greatest effect on NDVI change, and the second greatest factor influencing NDVI was average temperature. The correlation between NDVI and shallow ground temperature in the source regions of the Yangtze and Yellow rivers increased significantly with the depth of soil layer.     

黄河源区多年冻土空间分布变化特征数值模拟

基于IPCC第五次评估报告预估的气温变化情景,采用数值模拟的方法对黄河源区典型冻土类型开展模拟,推算过去及预测未来黄河源区冻土分布空间变化过程和发展趋势。结果表明：1972-2012年源区多年冻土只有少部分发生退化,退化的冻土面积为833 km²,季节冻土主要集中在源区东南部的热曲谷地、小野马岭以及两湖流域南部的汤岔玛地带;RCP 2.6、RCP 6.0、RCP 8.5情景下,2050年多年冻土退化为季节冻土的面积差别不大,分别为2224 km²、2347 km²、2559 km²,占源区面积的7.5%、7.9%、8.6%;勒那曲、多曲、白马曲零星出现季节冻土,野牛沟、野马滩以及鄂陵湖东部的玛多四湖所在黄河低谷大片为季节冻土;2100年多年冻土退化为季节冻土的面积分别为5636 km²、9769 km²、15548 km²,占源区面积的19%、32.9%、52.3%;星宿海、尕玛勒滩、多格茸的多年冻土发生退化,低温冻土变为高温冻土,各类年平均地温出现了不同程度的升高。到2100年,RCP 2.6情景下源区多年冻土全部退化为季节冻土主要发生在目前年平均地温高于-0.15 oC的区域,而-0.15~-0.44 oC的区域部分发生退化;RCP 6.0、RCP 8.5情景下目前年平均地温分别为高于-0.21 oC以及-0.38o C的区域多年冻土全部发生退化,而-0.21~-0.69 oC以及-0.38~-0.88 oC的区域部分发生退化。