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1.
土地利用变化对长江流域气候及水文过程影响的敏感性研究 总被引：6，自引：0，他引：6
使用区域气候模式(RegCM3)和大尺度汇流模型(LRM), 研究土地利用/植被覆盖变化对长江流域气候及水文过程的影响。RegCM3嵌套于欧洲数值预报中心 (ECMWF) 再分析资料ERA40, 分别进行了中国区域在实际植被和理想植被分布情况下两个各15年 (1987～2001年) 时间长度的积分试验。随后, RegCM3 两个试验的输出径流结果分别用来驱动LRM, 研究土地利用/植被覆盖变化对长江流域河川径流的影响。研究结果指出, 中国当代土地利用变化对长江流域降水、蒸散发、径流深及河川径流等水文气候要素的改变较大, 对气温的改变并不明显。土地利用变化引起长江干流河川径流量在夏季(6～8月)有所增加, 并且越向下游增加幅度越大, 其中大通站径流量增加接近15%。总体而言, 土地利用改变加剧了长江流域夏季水循环过程, 使得夏季长江中下游地区降水增多, 径流增大。 相似文献
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应用Terra和Aqua卫星的MODIS资料和三维叶分布模式,结合MODIS陆地植被覆盖产品数据,估算了6种生物群落的LAI,并与我国西北地区叶面积仪观测结果进行了对比和分析。结果表明,从两颗卫星连续8天的观测资料可以估算出LAI,反演结果的相对误差基本在±20%以内,平均相对误差为13.7%,说明该方法可以反演实际植被的LAI;根据植被类型的差异,建立了6种生物群落LAI与NDVI的指数关系,相关性较好;青藏高原东部的LAI时间变化有不一致性的特征,反映了不同生物群落的生物学特性的差异;不同季节的LAI变化在空间上有很大差异,说明本研究区域西部冷、干和高原东部相对暖、湿的复杂气候特征。 相似文献
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The changes in hydrological processes in the Yellow River basin were simulated by using the Community Land Model(CLM,version 3.5),driven by historical climate data observed from 1951 to 2008.A comparison of modeled soil moisture and runoff with limited observations in the basin suggests a general drying trend in simulated soil moisture,runoff,and precipitation-evaporation balance(P-E) in most areas of the Yellow River basin during the observation period.Furthermore,annual soil moisture,runoff,and P-E averaged over the entire basin have declined by 3.3%,82.2%,and 32.1%,respectively.Significant drying trends in soil moisture appear in the upper and middle reaches of the basin,whereas a significant trend in declining surface runoff and P-E occurred in the middle reaches and the southeastern part of the upper reaches.The overall decreasing water availability is characterized by large spatial and temporal variability. 相似文献
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This study intends to disclose orographic effects on climate and climatic impacts on hydrological regimes in Qinling Mountains under global change background. We integrate a meteorological model (MM5 model, PSU/NCAR, 2005) and a hydrological model (SWAT model, 2005) to couple hydrological dynamic with climate change in Qinling Mountains. Models are calibrated and validated based on the simulation of different combined schemes. Following findings were achieved. Firstly, Qinling Mountains dominantly influence climate, and hydrological process in Weihe River and upper Hanjiang River. Results show that Qinling Mountains lead to a strong north–south gradient precipitation distribution over Qinling Mountains due to orographic effects, and it reduces precipitation from 10–25 mm (December) to 55–80 mm (August) in Weihe River basin, and adds 25–50 mm (December) or 65–112 mm (August) in upper Hanjiang River basin; evapotranspiration (ET) decrease of 21% in Weihe River (August) and increase 10.5% in upper Hanjiang River (July). The Qinling Mountains reduce water yields of 23.5% in Weihe River, and decrease of 11.3% in upper Hanjiang River. Secondly, climate change is responsible for the changes of coupling effects of rainfall, land use and cover, river flow and water resources. It shows that average temperature significantly increased, and precipitation substantially reduced which leads to hydrological process changed greatly from 1950 to 2005: temperature increased and precipitation decreased, climate became drier in the past two decades (1980–2005), high levels of precipitation exists in mid-1950, mid-1970, while other studied periods are in low level states. The inter-annual variation in water yield correlates with surface runoff with an R 2 value of 0.63 (Weihe River) and 0.87 (upper Hanjiang River). It shows that variation of annual precipitation was smaller than that of seasonal precipitation. 相似文献
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Trends in evaporation of a large subtropical lake 总被引：1，自引：0，他引：1
In order to further investigate the capability of the Standardized Precipitation Index (SPI) to identify flood/drought events, monthly precipitation data from 26 precipitation stations and monthly discharge data from four hydrological stations from 1960 to 2006 in the Minjiang River basin were used to analyze the correlations between multiple time scales of the SPI and river discharge. The SPI series that had a maximum correlation with discharge was chosen to detect flood/drought events in the basin, and the results were compared to historical flood/drought events. The results indicated the following. (1) High Pearson correlations between the SPI and discharge were identified at shorter time scales (1 to 3 months), and the maximum correlation was found on the time scale of 2 months. (2) Five floods among the six largest historical flood events in the Minjiang River basin were identified with the 2-month SPI, but the SPI does have shortcomings in identifying more general floods. The SPI also identified major drought events that were consistent with historical data. This demonstrates that the 2-month SPI is an effective indicator for the identification of major flood/drought events in the Minjiang River basin. 相似文献
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Brazilian strategic interest in the Madeira River basin, one of the most important of the southern Amazon tributaries, includes the development of hydropower to satisfy the country’s growing energy needs and new waterways to boost regional trade and economic development. Because of evidences that climate change impacts the hydrological regime of rivers, the aim of this study was to assess how global climate change and regional land cover change caused by deforestation could affect the river’s hydrological regime. To achieve this goal, we calibrated a large-scale hydrological model for the period from 1970–1990 and analyzed the ability of the model to simulate the present hydrological regime when climate model simulations were used as input. Climate change projections produced by climate models were used in the hydrological model to generate scenarios with and without regional land-use and land-cover changes induced by forest conversion to pasture for the period from 2011–2099. Although results show variability among models, consensus scenarios indicated a decrease in the low-flow regime. When the simulations included forest conversion to pasture, climate change impacts on low flows were reduced in the upper basin, while, in the lower basin, discharges were affected along the whole year due to the more vigorous land-use conversion in the Brazilian region of the basin. 相似文献
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和田河夏季流量对区域0℃层高度变化的响应 总被引：1，自引：0，他引：1
利用和田市气象站的0℃层高度,和田河上游乌鲁瓦提和同古孜洛克水文站的实测流量资料,以及NCEP/NCAR 500 hPa月平均温度资料,分析了和田河夏季流量的变化、同期流域内0℃层高度情况以及500 hPa温度的特征。结果显示：1961-2004年,和田河夏季流量、和田站0℃层高度均呈不显著的线性下降趋势,在1979年分别出现了由丰到枯、由高到低的突变。和田河夏季流量典型偏丰、偏枯年同期500 hPa温度距平场有显著差异。在年代际和年际尺度上,和田河夏季流量对流域内0℃层高度变化都有明显的响应。 相似文献
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利用和田市气象站的0℃层高度,和田河上游乌鲁瓦提和同古孜洛克水文站的实测流量资料,以及NCEP/NCAR 500 hPa月平均温度资料,分析了和田河夏季流量的变化、同期流域内0℃层高度情况以及500 hPa温度的特征。结果显示：1961-2004年,和田河夏季流量、和田站0℃层高度均呈不显著的线性下降趋势,在1979年分别出现了由丰到枯、由高到低的突变。和田河夏季流量典型偏丰、偏枯年同期500 hPa温度距平场有显著差异。在年代际和年际尺度上,和田河夏季流量对流域内0℃层高度变化都有明显的响应。 相似文献
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We evaluate water budget components—namely, soil moisture, runoff, evapotranspiration, and terrestrial water storage (TWS)—simulated by the Noah land surface model with multi-parameterization options (Noah-MP) in China, a large geographic domain challenging for hydrological modeling due to poor observational data and a lack of one single parameterization that can fit for complex hydrological processes. By comparing the model simulations with multi-source reference data, we show that Noah-MP can generally reproduce the overall spatiotemporal patterns of runoff and evapotranspiration over six major river basins, with the annual correlation coefficients generally greater than 0.8 and the Nash–Sutcliffe model efficiency coefficient exceeding 0.5. Among the six basins evaluated, the best model performance is seen over the Huaihe River basin. The temporal trend of the modeled TWS anomalies agrees well with GRACE (Gravity Recovery and Climate Experiment) observations, capturing major flood and drought events in different basins. Experiments with 12 selected physical parameterization options show that the runoff parameterization has a stronger impact on the simulated soil moisture–runoff–evapotranspiration relationships than the soil moisture factor for stomatal resistance schemes, a result consistent with previous studies. Overall, Noah-MP driven by GLDAS forcing simulates the hydrological variables well, except for the Songliao basin in northeastern China, likely because this is a transitional region with extensive freeze–thaw activity, while representations of human activities may also help improve the model performance. 相似文献
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中国当代土地利用变化对黄河流域径流影响 总被引：5，自引：1，他引：4
使用区域气候模式(RegCM3)和大尺度汇流模型(LRM),研究中国地区土地利用/植被覆盖变化对黄河流域降雨径流过程的影响。RegCM3嵌套于欧洲数值预报中心(ECMWF)再分析资料ERA40,分别进行了中国区域在实际植被和理想植被分布情况下两个各15年(1987～2001年)时间长度的积分试验。随后,RegCM3 两个试验的输出径流结果分别用来驱动LRM。与观测资料的对比分析表明,在实际土地利用状况下,LRM能较好地模拟黄河河川径流的季节和年际变化。研究结果指出,当代土地利用引起了冬季黄河上游部分地区降水减少,中下游地区降水增加;引起夏季整个黄河流域降水的减少。总体来说,当代土地利用变化引起黄河流域年平均降水的减少。对于水文站河川径流量,除了冬春季略有增加外,其他月份河川径流均会减少,并且在9月减少最多。土地利用引起的植被退化造成黄河径流的大幅度减少,并且越向下游减少幅度越大,这可能是引起黄河下游断流的重要原因之一。 相似文献
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以太子河流域为研究区域,基于流域内的气象水文数据、数字高程模型及土地利用等资料,采用HBV水文模型对流域的水文过程进行模拟,通过对模型参数的率定与验证,评估了HBV模型在该流域径流模拟的适用性,确定了适合太子河流域的最优化参数,结合水位-流量关系曲线,推算太子河流域不同等级洪水致洪临界雨量。结果表明: HBV模型对太子河流域的径流模拟效果较好,率定期与验证期Nash效率系数与确定性系数均超过0.60,模型中积雪和融雪模块(CFR)、土壤含水量计算模块(BETA)与响应模块(KUZ2、UZ1、PERC)中的这些参数最为敏感,模型基本模拟出了洪水对降水的响应过程。通过建立的HBV水文模型,结合小林子水文站的水位-流量关系曲线,以警戒水位、保证水位作为不同等级洪水的判别条件,推算得到了不同起始水位下太子河流域动态临界雨量指标,临界雨量随起始水位的升高而有所减小。 相似文献
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Through an Australia-China climate change bilateral project, we analyzed results of 51-year global offline simulations over China using the Australian community atmosphere biosphere land exchange (CABLE) model, focusing on integrated studies of its surface energy, water and carbon cycle at seasonal, interannual and longer time-scales. In addition to the similar features in surface climatology between the CABLE simulation and those derived from the global land-surface data assimilation system, comparison of surface fluxes at a CEOP reference site in northeast China also suggested that the seasonal cycles of surface evaporation and CO2 flux are reasonably simulated by the model. We further assessed temporal variations of model soil moisture with the observed variations at a number of locations in China. Observations show a soil moisture recharge–discharge mechanism on a seasonal time scale in central-east China, with soil moisture being recharged during its summer wet season, retained in its winter due to low evaporation demand, and depleted during early spring when the land warms up. Such a seasonal cycle is shown at both 50- and 100-cm soil depths in observations while the model only shows a similar feature in its lower soil layers with its upper layer soil moisture varying tightly with rainfall seasonal cycle. In the analysis of the model carbon cycle, the net primary productivity (NPP) has similar spatial patterns as the ones derived from an ecosystem model with remote sensing. The simulated interannual variations of NPP by CABLE are consistent with the results derived from remote sensing-based and process-based studies over the period of 1981–2000. Nevertheless an upward trend from observations is not presented in the model results. The model shows a downward trend primarily due to the constant CO2 concentration used in the experiment and a large increase of autotrophic respiration caused by an upward trend in surface temperature forcing data. Furthermore, we have compared river discharge data from the model experiments with observations in the Yangtze and Yellow River basins in China. In the Yangtze River basin, while the observed interannual variability is reasonably captured, the model significantly underestimates its river discharge, which is consist with its overestimation of evaporation in the region. In the Yellow River basin, the magnitudes of the river discharge is similar between modeled and observed but its variations are less skillfully captured as seen in the Yangtze River region. 相似文献
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基于1933-2016年哈萨克斯坦北部伊希姆河彼得罗巴甫洛斯克水文站流量观测数据以及流域内格点气象数据，利用线性趋势法、Mann-Kendall检验、相关普查法和累积量斜率变化率比较法等方法，探讨了气候变化背景下伊希姆河流量变化及其主要驱动因子。结果显示:（1）伊希姆河流域近84年来气温和降水呈上升趋势，且在20世纪70年代后增加趋势更为明显。（2）伊希姆河流量年内分布不均，年际流量变化总体呈下降趋势，但趋势不明显。（3）伊希姆河流量受流域内降水和气温共同影响，其中降水与流量相关性最大，且降水的变化对流量补给具有滞后性，6-9月气温对同时期流量影响较大。（4）T1时段（1969-1996年）和T2时段（1997-2016年）与T时段（1933-1968年）相比，气候变化对流量减少的贡献率分别为16.09%和44.83%，而人类活动对流量减少的贡献率为83.91%和55.17%。流域内水资源的开发及利用、人口数量和土地利用方式的变化等人类活动因素在很大程度上影响了伊希姆河流量。 相似文献
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为探讨中国再分析气象数据集CN05.1在流域水文模拟中的适用性潜力,以开都河流域为研究区,分别使用CN05.1数据集和传统气象站数据驱动SWAT水文模型,采用决定系数（R 2)、纳什效率系数（NSE）和相对误差（Re）等评价指标对二者模拟效果进行对比分析,以确定CN05.1数据的适用性;最后采用两种数据订正方法对CN05.1降水数据进行了订正,并以水文模拟效果进行评价。研究结果表明:(1) CN05.1气象数据在开都河流域的水文气象模拟中具有较强的适用性;(2) 基于SWAT模型的水文模拟显示,CN05.1数据驱动的水文模拟精度高于传统气象站数据,其率定期（1995—2005年）和验证期（2006—2016年）的R 2分别为0.81和0.73,NSE分别为0.81和0.72,Re分别为-0.97%和0.39%;(3)两种数据订正方法均能较好地再现流域径流变化过程,但基于空间关系订正法的径流模拟效果更好,R 2和NSE均在0.72以上,|Re|＜1.7%。由此,订正后的CN05.1降水数据一方面弥补了传统气象站数据缺失的问题,另一方面补足了未订正CN05.1降水数据在径流模拟中峰值欠佳的问题。 相似文献
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21世纪天山南坡台兰河流域径流变化情景预估 总被引：2，自引：0，他引：2
基于台兰水文站2003—2005年观测的水文气象数据,通过参数率定和验证获得了适用于台兰河流域的HBV水文模型优化参数。应用RegCM3气候模式在IPCC SRES A1B情景下的预估数据,经Delta降尺度方法生成流域未来气候数据,并结合流域冰川退缩情景预估台兰河流域径流在21世纪中期(2041—2060年)和末期(2081—2100年)可能发生的变化。结果表明:在21世纪中期和末期,台兰河流域气温将显著上升,而降水变化不大;21世纪中期冰川3种可能退缩比例为15%、20%和25%,末期分别为20%、30%和40%;无论冰川处于哪一种退缩情景,21世纪径流较基准期(1981—2000年)都呈增加趋势,中期和末期最小增幅将分别为17.3%和18.6%;最大增幅可达45.9%和66.0%;耦合RegCM3气候模式预估增幅为28.9%和41.5%;台兰河流域未来径流年内分布与基准期大体相同,但又呈现出一定的差异性,具体表现为,在21世纪中期5月份径流增加很快,径流峰值出现在7月份,而到21世纪末期径流峰值出现在8月份。 相似文献
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基于1998/1999年HUBEX强化观测资料的水文过程模拟 总被引：6，自引：1，他引：5
考虑流域空间变异性,基于数字高程模型,构建淮河流域能量和水循环试验(HUBEX)水文强化观测区-史灌河流域的数字水系.在此基础上,应用新安江模型计算蒋集控制站1980～1987年日流量过程.结果表明,基于数字流域的水文模型明显优于传统水文模型.同时,对1998/1999年史灌河流域黄泥庄站和蒋集站的径流过程及土壤水分时间序列过程进行了检验,结果令人满意. 相似文献
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由于极端天气事件导致灾害频发,为延长洪水预见期,以望谟河流域为例,利用DEM数字高程资料、土地利用数据、土壤数据、气象数据等驱动SWAT水文模型,对流域水文循环过程进行了模拟,并采用2016～2018年逐日和2010～2018年逐月望谟水文监测站实测径流数据进行了率定和验证。同时基于CFSv2模式,采用双线性插值法得到延伸期时段望谟站2019年6月1日起报的未来45d的降水预报产品,与实况数据作对比分析,并与SWAT模型耦合进行了延伸期时段的径流量耦合预报。结果表明:(1)望谟河流域日尺度模拟中,率定期确定系数R2和Nash-Sutcliffe系数NSE均为0.75,验证期R2=0.61,NSE=0.55,月尺度模拟中,率定期R2=0.85,NSE=0.81,验证期R2=0.80,NSE=0.74,无论日尺度或月尺度,百分比偏差PBIAS的绝对值均在5%以内,模拟效果较好,可满足应用要求;(2)以2019年6月1日为起报日得到的CFSv2未来10～45d降水数据,CFSv2降水预报过程与实况趋势总体一致,强降水过程时段偏差在1～3d左右,但日降水量级的预报值偏小,说明需对CFSv2模式产品进行系统误差订正。基于SWAT模型与CFSv2降水预报产品的径流量耦合预报在未来10～15d内的变化趋势与实测值一致,尤其在未来10d左右模拟趋势效果最好;(3)对比6月10～13日不同起报日的降水数据,4个起报时刻对于未来10d强降雨过程均有稳定的预报信号,以6月10日作为起报日的径流量耦合预报于提前10～20d效果较为稳定,但由于降水预报量级偏小,致使径流量的模拟量级也偏小。研究成果为延伸期时段水文气象耦合模式的洪水预报试验研究提供了参考。 相似文献
20.
Yongqin David Chen Qiang Zhang Mingzhong Xiao Vijay P. Singh Yee Leung Luguang Jiang 《Theoretical and Applied Climatology》2014,116(3-4):447-461
Regional frequency analysis and spatial–temporal patterns of precipitation extremes are investigated based on daily precipitation data covering 1960–2009 using the index-flood L-moments method together with some advanced statistical tests and spatial analysis techniques. The results indicate that: (1) the entire Yangtze River basin can be divided into six homogeneous regions in terms of extreme daily precipitation index. Goodness-of-fit test indicates that Pearson type III (PE3, three parameters), general extreme-value (GEV, three parameters), and general normal (GNO, three parameters) perform well in fitting regional precipitation extremes; (2) the regional growth curves for each homogeneous region with 99 % error bands show that the quantile estimates are reliable enough and can be used when return periods are less than 100 years, and the results indicate that extreme precipitation events are highly probable to occur in regions V and VI, and hence higher risk of floods and droughts; and (3) spatial patterns of annual extreme daily precipitation with return period of 20 years indicate that precipitation amount increases gradually from the upper to the lower Yangtze River basin, showing higher risks of floods and droughts in the middle and lower Yangtze River basin, and this result is in good agreement with those derived from regional growth curves. 相似文献