RCCC-WBM 模型区域适用性及参数敏感性分析

天然径流量的模拟计算是区域水资源评价的关键,以中国不同气候区的6个典型流域为例,评估RCCC-WBM月尺度水文模型对天然径流过程的模拟能力,并分析其参数的敏感性。结果表明:RCCC-WBM模型对不同气候区典型流域的天然径流过程都具有较好的模拟效果,Nash-Sutcliffe效率系数均在0.80以上,径流量相对误差较小,满足径流模拟的精度要求,区域适用性较好。南方流域冬季气温较高,降雪积雪较少,导致融雪径流汇流系数对模拟结果的影响微乎其微;在6个典型流域中地表径流汇流系数对模型精度具有显著的影响;土壤蓄水容量通过决定土壤含水的上限值间接地影响着水源的划分与计算,对模型径流模拟至关重要。     

涪江流域径流变化趋势及其对气候变化的响应

采用Mann-Kendall非参数检验方法分析了涪江流域实测径流量的变化趋势,根据假定的气候变化情景和HADCM3预估的气候情景,利用考虑融雪的水量平衡模型(SWBM模型)分析了径流对气候变化的响应。结果表明:涪江流域径流量总体呈现递减趋势,但非汛期的个别月份有增加趋势,实测年径流变化主要是由于气候要素变化引起的,流域内的水电开发对径流量的季节分配存在一定的影响。SWBM模型对涪江流域月流量过程具有较好的模拟效果,实测与模拟径流量总体较为吻合,只有个别年份峰值模拟误差相对较大。气温变化固定的情况下,降水变化与径流变化之间的关系接近线性;在降水变化相同的情况下,单位气温变幅引起的径流量变化幅度也基本相当。尽管不同排放情景下涪江流域径流量的变化有一定差异,但总体来看,未来水资源可能以偏少为主,特别是2030年以后,多年平均偏少量将可能超过5%。     

SWBM模型在锡林河流域气候变化影响评价中的应用

以内蒙古地区的锡林河流域为研究对象,采用考虑融雪的水量平衡模型(SWBM模型),在对锡林河流域水文模拟的基础上,评估了流域水资源对气候变化的响应。结果表明:SWBM模型锡林河流域月径流过程具有较好的模拟效果,率定期和检验期的模型效率系数均超过60%,相对误差也均小于8%,在未来全球气候变化背景下,流域水资源以减少趋势为主,2030年之后,减少幅度将可能超过10%。     

气候变化对挠力河径流量影响的定量分析

三江平原位于黑龙江省东北部,是中国沼泽湿地集中分布区且面积最大的区域,挠力河作为该区域的一条典型沼泽性河流,其径流演变过程受到气候变化和人类活动的双重影响.文中利用水量平衡法和降水-径流经验模型,定量分析了变化期气候变化对径流的影响,并比较了两种方法的优劣性,研究结果表明:50年来挠力河变化期(1968~2005年)内的年径流量的变化大约40%是由气候变化引起.气候变化对径流量影响的主导因素是降水量的变化,降水量变化对宝清站和菜嘴子站径流量减少的贡献率分别为43%和35%,蒸发量变化对两水文站径流量减少的贡献率为10%左右.利用水量平衡法研究气候变化对河流径流量的影响,其研究结果要优于一般的降水-径流经验模型法,但经验模型也不失为一种快速且简便的方法.     

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。     

辽西地区降雨径流非线性扰动响应评估研究

根据SLM模型对辽西4个区域的降水径流非线性扰动响应进行模拟分析,结果表明:70年代至今,辽西4个典型干旱半干旱区域降水径流非线性显著,降水变化率在-3.3%~14.2%,径流变化率在-15.1%^-65.8%,径流的非线性变化逐年增强。线性模型下各典型区域NSE和R2的评估值均低于0.6,故采用非线性模型对辽西干旱半干旱区域降水径流进行模拟。     

RCCC-WBM水量平衡模型在北方典型流域的适用性研究

流域水文模型是开展环境变化影响分析和水资源评价的重要工具。以山西省的5个不同尺度的代表性流域为研究对象,分析了RCCC-WBM模型在山西省的区域适用性。结果表明:RCCC-WBM模型能够较好地模拟出山西省径流年内分配特征和年代际变化特点,对典型流域月径流量模拟的Nash-Sutcliffe模型效率系数超过65%,水量模拟误差也较小,该模型在山西省具有较好的适用性,可以用于山西省水资源评价等方面的科学研究。     

东北半干旱地区流域分布式水文模拟——以洮儿河流域为例

以东北半干旱地区典型流域-洮儿河流域为研究对象,应用SWAT模型对流域水文过程进行了模拟研究;选择流域上游子流域和中下游子流域分别进行参数敏感性分析,识别出影响模拟结果的敏感参数,研究发现部分参数敏感性存在空间变异性,分析主要原因在于气候和下垫面的空间异质性导致了流域上下游产流模式存在差异。采用1988-1997年水文气象数据进行模型率定和验证,结果表明：干流水文站月流量过程率定期Nash-Sutcliffe 效率系数平均值为0.78,验证期为0.72,相关系数都达到0.86以上,水量误差大多在20%以内,对日过程的模拟也有较高的精度;枯水年模拟结果较差,主要是因为流域降水站数量不够,难以反映降水的时空分布。对于水文、气象等资料相对缺乏的东北半干旱地区,SWAT模型的模拟结果总体令人满意,可以应用于与流域径流相关的各种模拟分析,研究成果对进一步加强洮儿河流域水资源综合管理提供了依据和手段。     

气候变化和人类活动对滦河流域内蒙段河川径流的影响分析

河川径流不仅受气候因素的直接影响,受人类活动的影响也非常显著。滦河流域内蒙段地处我国干旱半干旱地区,水土流失严重,生态环境恶劣。经分析可知,近50年研究区径流呈明显下降趋势。本文运用SWAT模型研究分析了气候变化和人类活动对河川径流的影响,结果表明流域河川径流受人类活动影响要大于气候变化的影响,其中人类活动的间接影响要大于直接影响。同时验证了SWAT模型在干旱半干旱地区是适用的。     

土地利用和气候变化对王家桥小流域径流的影响

以三峡库区内典型小流域王家桥为例,利用SWAT模型模拟土地利用和气候变化及两者共同作用对径流的影响。结果表明:扩大耕地、退耕还林、发展经济林的土地利用情景下,年均径流量较基准年变化率分别为15.13%、-13.99%、23.22%,退耕还林能有效调节和减少流域径流量;浓度路径为RCP2.6、RCP4.5、RCP8.5的气候变化情景下,径流量变化率分别为7.13%、7.78%、8.91%,径流量随未来温室气体和硫酸盐气溶胶排放情况增大而增加;两者综合情景下年均径流量均增加,2030年左右增幅较显著;对影响径流的因素进行方差分析,发现土地利用变化对径流的影响比气候变化的影响更显著。在未来气候变化背景下,可通过合理配置流域的土地利用类型,实现对流域水量平衡的调节。     

用改进的非线性水量平衡模型研究气候变化对径流的影响

本文利用一个改进的非线性水量平衡模型,模拟研究了我国不同气候区水资源与气候的关系,并对模拟结果进行了分析.     

Effect of climate change on water resources in the Yuanshui River Basin: a SWAT model assessment

The Yuanshui River Basin is one of the most important river basins ensuring food production and livelihoods in the Hunan and Guizhou Provinces of China. Based on digital elevation model, land use, soil, and meteorological data, the soil and water assessment tool was used to analyze the response of water resources in the basin to climate change. Specifically, the monthly runoff from the Yuanshui River Basin was simulated. Runoff measurements from the 1961–1990 series were used to calibrate model parameters, and measurements from the 1991–2010 series were used for model validation. The Nash–Sutcliffe efficiency coefficient, correlation coefficient, and water balance error were used to evaluate the simulation results; the values obtained for these parameters were 0.925, 0.929, and 2.0%, respectively, indicating that the established model can be applied successfully to runoff simulations. To evaluate the effects of climate change and human activities on runoff, 24 different climate scenarios were modeled. By comparing the model simulation results with the baseline scenario, the effects of climate change were analyzed by year, during the dry season, and during extremely dry conditions. The results showed that runoff decreased with increasing air temperature and decreasing precipitation, and that the effects of rainfall on runoff were greater than those of air temperature. Under the same baseline conditions, the effects of climate change on runoff were most pronounced during extremely dry months.     

Understanding the past to interpret the future: comparison of simulated groundwater recharge in the upper Colorado River basin (USA) using observed and general-circulation-model historical climate data

In evaluating potential impacts of climate change on water resources, water managers seek to understand how future conditions may differ from the recent past. Studies of climate impacts on groundwater recharge often compare simulated recharge from future and historical time periods on an average monthly or overall average annual basis, or compare average recharge from future decades to that from a single recent decade. Baseline historical recharge estimates, which are compared with future conditions, are often from simulations using observed historical climate data. Comparison of average monthly results, average annual results, or even averaging over selected historical decades, may mask the true variability in historical results and lead to misinterpretation of future conditions. Comparison of future recharge results simulated using general circulation model (GCM) climate data to recharge results simulated using actual historical climate data may also result in an incomplete understanding of the likelihood of future changes. In this study, groundwater recharge is estimated in the upper Colorado River basin, USA, using a distributed-parameter soil-water balance groundwater recharge model for the period 1951–2010. Recharge simulations are performed using precipitation, maximum temperature, and minimum temperature data from observed climate data and from 97 CMIP5 (Coupled Model Intercomparison Project, phase 5) projections. Results indicate that average monthly and average annual simulated recharge are similar using observed and GCM climate data. However, 10-year moving-average recharge results show substantial differences between observed and simulated climate data, particularly during period 1970–2000, with much greater variability seen for results using observed climate data.     

基于PCRaster的流域非点源氮磷负荷估算

以太湖流域上游的西笤溪流域为研究区,应用动态环境模拟语言PCRaster构建月水文和氮磷营养物质输出模型,分析流域内氮磷输出的时空分布特征。以输出系数法为基础,将分布式水文模型与非点源负荷模型相结合,应用地理信息技术构建基于栅格的非点源污染模拟模型,根据1988~2007年的水文、水质实测数据对模型进行率定和验证,定量分析西笤溪流域非点源污染负荷量与氮磷输出的空间分布。研究结果显示:基于单元网格的月水文模型在该流域具有较好的应用效果,率定和验证期的Nash系数和线性相关系数R2均超过了0.80。应用模型估算西笤溪流域非点源污染2002~2005年总氮年输出量为1 670~2 035t/a,2002~2007年总磷输出量为102~164t/a。氮磷负荷的空间分布表明以稻麦或水稻/油菜轮作的农田是非点源污染的最主要来源。     

Assessing climate change impacts on water balance in the Mount Makiling forest, Philippines

A statistical downscaling known for producing station-scale climate information from GCM output was preferred to evaluate the impacts of climate change within the Mount Makiling forest watershed, Philippines. The lumped hydrologic BROOK90 model was utilized for the water balance assessment of climate change impacts based on two scenarios (A1B and A2) from CGCM3 experiment. The annual precipitation change was estimated to be 0.1–9.3% increase for A1B scenario, and ?3.3 to 3.3% decrease/increase for the A2 scenario. Difference in the mean temperature between the present and the 2080s were predicted to be 0.6–2.2°C and 0.6–3.0°C under A1B and A2 scenarios, respectively. The water balance showed that 42% of precipitation is converted into evaporation, 48% into streamflow, and 10% into deep seepage loss. The impacts of climate change on water balance reflected dramatic fluctuations in hydrologic events leading to high evaporation losses, and decrease in streamflow, while groundwater flow appeared unaffected. A study on the changes in monthly water balance provided insights into the hydrologic changes within the forest watershed system which can be used in mitigating the effects of climate change.     

气候变化对新疆玛纳斯河流域水文水资源的影响

考虑积雪和降水不均等特点,对流域进行分带处理,提出和建立了包含积雪融雪结构的水文评价模型。利用该模型求得未来不同气候变化情况下的月均流量过程,分析气候变化对玛纳斯河流域水文水资源的影响。结果表明:若气温升高2℃,降水减少20%,则夏季径流减少52.59%,冬季径流减少1.77%,年均径流减少46.87%。     

Estimating groundwater discharge into a lake through underwater springs by using GIS technologies

Estimating groundwater recharge in a freshwater body such as a deep lake is often a problem for hydrologists, since direct measurements are costly and difficult to implement. This study attempts to calculate the groundwater discharge in a lake using a simple water balance model, water level measurements, aerial photographs and GIS technologies. In particular, a Digital Terrain Model (DTM) for the lake has been developed, which in combination with GIS (Geographical Information System) software and water level fluctuations has provided the lake's monthly water storages. Additional hydrologic elements, including land and water uses, overland flow and evapotranspiration, have been estimated and incorporated in a water balance model which after extensive analysis have provided credible monthly values for the groundwater recharge in Lake Trichonis. This particular methodology can be widely applied in catchments with similar hydrologic regimes and can provide reliable, cost-efficient estimations of groundwater recharges into water bodies.Abbreviations GIS Geographical Information Systems - DTM Digital Terrain Model     

气候变化对我国水文水资源的可能影响

以平衡的GCM模型输出作为大气中CO₂浓度倍增时的气候情景,采用月水量平衡模型及水资源利用综合评价模型研究我国部分流域年、月径流、蒸发的可能变化及2030年水资源供需差额变化。结果表明淮河及其以北气候变化的影响最为显着,各流域水量的增多或减少主要由汛期径流及蒸发的增减决定。在未来气候条件下,黄、淮、海三个流域水资源短缺可能进一步加剧。