气候变化对澜沧江-湄公河上中游径流的影响研究

将区域气候模式RegCM3与水循环模拟模型WACM进行单向耦合,对澜沧江-湄公河流域未来气候变化和流域上中游主要控制水文站径流响应进行了模拟和分析。区域气候预估表明,相对于现状(1980—2009年),A1B情景下未来(2010—2039年)流域年平均温度和降水均有增加趋势,分别增加了0.65 ℃和1.87%,但降水增加不明显;流域北部温度增幅比南部明显,而降水区域差异较大,变化较为复杂。径流模拟结果表明,未来气候变化情景下,清盛和琅勃拉邦站多年平均径流量与天然情景相比均有减少趋势,分别减少了1.23%和3.69%,但变化不明显;未来径流年际变化呈不显著的减少趋势,而温度变化对径流影响作用要强于降水;未来春季和夏季(3—6月)径流增减相对明显,局部区域有洪涝和水文干旱的风险,而其它月份径流变化不显著。     

雅鲁藏布江径流变化的影响因素分析研究

雅鲁藏布江流域作为西藏最重要的经济区,对全球气候变化极其敏感和脆弱.文章选择雅鲁藏布江流域作为研究区,通过对气候因素、径流变化的时空规律的分析,探讨了降水、气温等气候因子对径流的影响.得出:流域1960年-2009年年平均气温具有显著的上升趋势,升温趋势随海拔升高而增大的特点,流域1960年-2009年流域年降水呈上升的趋势,但趋势不显著,流域降水变化呈现复杂性.气温、降水的变化是影响雅鲁藏布江天然径流变化最直接的影响因素.     

基于SWAT-FLUS的采煤沉陷区水文过程情景模拟

采煤区沉陷不仅会影响地表结构,还会显著改变流域水文循环,从而影响区域水资源供给。以淮南西淝河流域为研究对象,利用SWAT-FLUS集成模型模拟流域水文过程及未来情景。结果表明:1)该集成模型能准确模拟由土地利用变化带来的水文情势演变过程,并用于情景预测。2)对未来不同塌陷速率情景模拟结果显示,各情景下流域蒸散发均呈增加趋势,其中无修复模式主要为水面蒸散增加,2种修复模式主要为陆面蒸散增加;无修复模式增加了流域入渗量,2种修复模式则相反。3)从典型水文年内径流分布来看,无修复模式显著影响了地表径流的年内分布规律及径流峰值,普通修复及生态修复模式则无明显影响。4)从年际间水文变化来看,若无修复措施,流域内水文关系将在2020-2022年发生根本性转变;至2030年,地表径流将减少27.1%,普通修复模式下地表径流将减少2.5%,而生态修复可使流域地表径流增加4.4%。     

漳卫河流域水文循环过程对气候变化的响应

气候变化对我国各地区水资源影响的时空格局变化,是气候变化影响评估的重要内容。论文以漳卫河为研究流域,采用线性回归法、Mann-Kendall非参数检验等方法,分析了1957-2001年的水文气象要素变化特征;基于数字高程模型、土地利用和土壤类型等资料,建立了SWAT分布式水文模型,验证了SWAT模型在该流域的适用性;根据IPCC第四次评估报告多模式结果,分析了IPCC SRES-A2、A1B、B1情景下21世纪降水、气温、径流、蒸发的响应过程。结果表明漳卫河流域未来2011-2099年降水量变化较基准期呈现出增加趋势,年平均气温较基准期也呈现出显著的上升趋势,各年代径流量较基准期将出现先减少后增大的态势。     

气候变化对海河流域水资源的影响及其对策

将全球气候模式与分布式水文模型WEP-L耦合,在国家气候中心整理提供的多模式平均数据集基础上,利用WEP-L模拟了海河流域历史30年(1961—1990年)和未来30年(2021—2050年)降水、蒸发、径流等主要水循环要素的变化规律,分析了气候变化对海河流域水资源的影响,结果表明,未来30年:①从年际变化规律看,气温普遍升高,降雨量略有增加,蒸发量普遍加大,径流量呈减少趋势,且有丰水年洪水规模更大、平水或枯水年干旱情况更严重的趋势;②从年内变化规律看,各月蒸发量普遍增加,汛期的降雨量有所减少,非汛期的降雨量有所增加,各月径流量则有不同程度的减少。因此,未来气候变化条件下海河流域水资源管理将面临更加严峻的挑战,本研究给出了一些基本的对策。     

气候变化对淮河流域水量水质影响分析

气候变化对水量水质的影响是气候变化与水研究领域热点和难点问题之一,尤其是对水质的影响。论文以淮河中上游流域为例,利用德国马普研究所的气候模式（MPI）情景数据驱动已率定好的分布式水量水质耦合模型,模拟和分析了未来近期（2020年代）和中长期（2030年代）气候变化对流域出口断面水量水质过程、产流系数和污染空间分布的影响。此外,基于历史典型重大突发性水污染事件时期极端降水的时空分布特征,推测未来可能发生突发性水污染事件的频率和时间。研究表明：1）温室气体中等排放A1B情景下,相比于基准年（1990年代）,流域降水呈下降趋势,但气温增幅近2 ℃,势必导致出口断面径流量明显减少和流域蒸散发增加,也导致入河非点源负荷减少;此外气温升高导致水体污染负荷降解速率加快,因此出口断面的污染负荷也有所减少。2）从空间分布来看,未来流域产流系数将有所降低。受气候变化影响较高的地区为沙颍河上游和涡河上游地区。受产流系数降低的影响,流域水污染发生率将有所上升,影响较高的区域位于洪汝河上游、沙颍河上游和贾鲁河等水系。3）在排污水平和闸坝调度规则不变的情况下,2020年代和2030年代重大突发性水污染事件预测可能发生时间为2035年7月,约为20 a一遇,低于基准期间约3~4 a一遇。总的来说,相比于基准年,气候变化对淮河中上游流域未来水量水质的影响适中。     

陆地水循环和气候变化的影响

陆地水循环及其对气候变化的响应对农业和自然生态系统而言都是很重要的课题.本研究通过在基准气候条件和2个全球大气环流模型模拟的气候变化情景下运行一个宏观尺度的水分平衡模型,评价陆地水循环及其对气候变化的响应.结果表明2021～2030年间,由于气候变化,世界范围内水需求将普遍增加.在西亚、阿拉伯半岛、非洲北部和南部、澳大利亚的东北部、北美洲的西南部和南美洲的中部,水缺乏将加剧.在南亚,表面径流将显著增加,而在南美北部将显著减少.这些变化将对区域环境和社会经济产生重要影响.     

IPCC-AR4模式资料对东北地区气候及可利用水资源的预估研究

利用IPCC-AR4模式对未来预估的结果,分析了在不同排放情景下（A2、B1）中国东北地区气候和水资源变化的主要特征。研究表明：东北地区气温和降水随时间均呈上升趋势,气温的上升趋势非常明显,降水虽然也增加,但变化的趋势很弱,在A2情景下,气温和降水的变化幅度要大于B1情景。未来水资源的变化情况表明,蒸发量的变化最明显,在A2情景下增加了12.3%~14.4%,其次是地表径流,在A2情景下减少了4%~ 4.7%,而浅层和深层含水量虽然也是呈减少趋势,但是变化相对较小。     

滇池流域的气候变化特征、预估及其影响

利用1961—2014年滇池流域6个代表站点的降水和气温资料及多模式集成的2016—2100年不同排放情境下气候变化模拟实验的预估结果,分析滇池流域过去54a降水和气温的变化,并预估未来85a该流域的气候变化趋势。分析表明,过去54a滇池流域年降水量总体呈不显著的下降趋势,而年平均气温和年平均最高(低)气温呈显著上升趋势。预估显示,未来85a在不同排放情境下,滇池流域的降水总体呈增加趋势,其中前25a降水量偏少,中后期逐渐转为偏多。不同季节流域降水距平百分率变幅从大到小依次是冬夏春秋;滇池流域年平均气温、最高气温和最低气温均呈上升趋势,不同季节流域气温增幅依次为春夏秋冬。预估提示未来滇池流域春季气温上升现象尤其明显,需特别关注春季异常偏暖对流域水环境的影响。     

气候变化和人类活动对伊逊河流域径流变化的影响

借助Mann-Kendall趋势检验和突变检验对气象水文序列进行一致性分析,划分基准期（1961—1979年）和影响期（① 1980—1989年、② 1990—1999年、③ 2000—2016年）,利用基准期校准的可变下渗容量（VIC）模型,采用步进式方法,探究气候变化和人类活动对伊逊河流域径流变化的波动影响过程。结果表明:研究区近56年年均气温显著升高,年降水量无明显变化趋势,流域年径流量下降趋势明显,季节尺度上流域非汛期降水量增加显著。气候变化和人类活动均会对径流产生显著影响且作用机理复杂,步进式方法对影响机理的研究较传统方法更能体现其变化过程;在降水丰沛的影响 ② 期,冬季降水量增加会显著增加流域径流量,而在降水略少的影响 ① 期和 ③ 期,蒸发量增加以及土壤含水量降低使得流域径流减少;人类活动耗水在影响 ① 期和 ③ 期引起流域径流减少并且影响作用逐渐增强,影响 ② 期由于城镇化和耕地扩张使得流域产流能力增强导致径流增加。深入研究气候变化和人类活动对径流的影响机制,可为流域水资源管理和规划提供理论依据。     

Modeling of the Mendoza river watershed as a tool to study climate change impacts on water availability

Unmitigated anthropogenic climate change is set to exacerbate current stresses on water resources management and creates the need to develop strategies to face climate change impacts on water resources, especially in the long term. Insufficient information on possible impacts on water availability limits the organization and promotion of efforts to adapt and improve the resilience and efficiency of water systems. To document the potential impacts of climate change in the region of Mendoza, Argentina, we perform a hydrological modeling of the Mendoza River watershed using a SWAT model and project climate change scenarios to observe hydrological changes. The results show the impact of higher temperature on glaciers as river flow increases due to glacier melting; at the same time, runoff decreases as precipitation is reduced. Furthermore, the runoff timing is shifted and an earlier melting becomes more important in more pronounced climate change scenarios. Scenarios show a reduction in water availability that ranges between 1 and 10%. An additional scenario under stronger climate change conditions without glaciers data shows a reduction of the river flow by up to 11.8%. This scenario would correspond to a future situation in which glaciers have completely melted. These situations would imply a reduction in the water availability and the possibility of future unsatisfied water uses, in particular for irrigation, which received most of the available water in Mendoza, on which agricultural activities and regional economy depends.     

降水和人类活动对松花江径流量变化的贡献率

为了估算自然因素和人类活动对松花江流域径流量变化的相对影响程度,采用累积距平、有序聚类等方法,对松花江干流6 个水文站1955-2010 年径流量序列进行了分析,揭示了径流量变化过程中各站都存在3 个突变点及被其分割的4 个变化阶段。应用累积量斜率变化率比较方法,在不考虑蒸散影响时定量估算了不同阶段降水和人类活动对径流量的贡献率。结果表明:与基准期相比,之后三个时期降水对径流量的贡献率约为26%~35%、0.1%~10%和25%~43%,而人类活动对径流量的贡献率分别约为65%~74%、90%~99.9%和57%~75%。可见人类活动是松花江流域径流量变化最主要的影响因素。虽然在国内大多数流域仍在增强,但在松花江流域自1999年以来已明显小于之前两个时期,却仍然高于降水量的影响程度。     

Adaptation to changing water resources in the Ganges basin, northern India

An ensemble of regional climate model (RCM) runs from the EU HighNoon project are used to project future air temperatures and precipitation on a 25 km grid for the Ganges basin in northern India, with a view to assessing impact of climate change on water resources and determining what multi-sector adaptation measures and policies might be adopted at different spatial scales.The RCM results suggest an increase in mean annual temperature, averaged over the Ganges basin, in the range 1–4 °C over the period from 2000 to 2050, using the SRES A1B forcing scenario. Projections of precipitation indicate that natural variability dominates the climate change signal and there is considerable uncertainty concerning change in regional annual mean precipitation by 2050. The RCMs do suggest an increase in annual mean precipitation in this region to 2050, but lack significant trend. Glaciers in headwater tributary basins of the Ganges appear to be continuing to decline but it is not clear whether meltwater runoff continues to increase. The predicted changes in precipitation and temperature will probably not lead to significant increase in water availability to 2050, but the timing of runoff from snowmelt will likely occur earlier in spring and summer. Water availability is subject to decadal variability, with much uncertainty in the contribution from climate change.Although global social-economic scenarios show trends to urbanization, locally these trends are less evident and in some districts rural population is increasing. Falling groundwater levels in the Ganges plain may prevent expansion of irrigated areas for food supply. Changes in socio-economic development in combination with projected changes in timing of runoff outside the monsoon period will make difficult choices for water managers.Because of the uncertainty in future water availability trends, decreasing vulnerability by augmenting resilience is the preferred way to adapt to climate change. Adaptive policies are required to increase society's capacity to adapt to both anticipated and unanticipated conditions. Integrated solutions are needed, consistent at various spatial scales, to assure robust and sustainable future use of resources. For water resources this is at the river basin scale. At present adaptation measures in India are planned at national and state level, not taking into account the physical boundaries of water systems. To increase resilience adaptation plans should be made locally specific. However, as it is expected that the partitioning of water over the different sectors and regions will be the biggest constraint, a consistent water use plan at catchment and river basin scale may be the best solution. A policy enabling such river basin planning is essential.     

Climate change, water availability and future cereal production in China

Climate scenarios from a regional climate model are used to drive crop and water simulation models underpinned by the IPCC A2 and B2 socio-economic development pathways to explore water availability for agriculture in China in the 2020s and 2040s. Various measures of water availability are examined at river basin and provincial scale in relation to agricultural and non-agricultural water demand and current and planned expansions to the area under irrigation. The objectives are to understand the influences of different drivers on future water availability to support China's food production. Hydrological simulations produce moderate to large increases in total water availability in response to increases in future precipitation. Total water demand increases nationally and in most basins, but with a decreasing share for agriculture due primarily to competition from industrial, domestic and municipal sectors. Crop simulations exhibit moderate to large increases in irrigation water demand which is found to be highly sensitive to the characteristics of daily precipitation in the climate scenarios. The impacts of climate change on water availability for agriculture are small compared to the role of socio-economic development.The study identifies significant spatial differences in impacts at the river basin and provincial level. In broad terms water availability for agriculture declines in southern China and remains stable in northern China. The combined impacts of climate change and socio-economic development produce decreases in future irrigation areas, especially the area of irrigated paddy rice. Overall, the results suggest that there will be insufficient water for agriculture in China in the coming decades, due primarily to increases in water demand for non-agricultural uses, which will have significant implications for adaptation strategies and policies for agricultural production and water management.     

海河流域平原河流非常规水源补给特性及其成因分析

统计分析海河流域水资源量和污废水入河量数据(2001—2012年)、降水量数据(1956—2012年),以及水资源利用、污废水排放、社会经济、人口等数据(1980—2012年),探究了海河流域平原河流非常规水源补给的特性及成因.结果表明,非常规水源补给的河流具有污径比高的特性:海河流域河流污径比高,平均污径比为35.7%,其中海河北系污径比最高,达到90.5%,滦河及冀东沿海污径比最低,为25.6%.降水量的持续减少、山前水库带对水资源的截留以及平原区水资源开发利用率的增加导致河流径流量减少,是海河流域平原河流非常规水源补给的一个主要原因:降水量持续减少,1956—1980年平均降水量为559 mm,至2012年平均降水量降低至502 mm;水库、闸坝等水利设施的建设使得73%的山区河流流量被水库截留;流域地表水资源平均开发利用率高达63%,这些均导致平原河流径流量持续减少.人口和社会经济快速发展导致污废水排放量增加,是海河流域平原河流非常规水源补给形成的另一个主要原因:工业产值、城镇人口数量均与污废水排放量显著正相关,复相关系数均超过50%.海河流域中部平原区河流以非常规水源补给将长期存在,考虑非常规水源水质水量的协同保障,对满足生态需水量、改善缺水河流生态环境等具有积极的作用.     

新疆和田河流域河川径流时序特征分析

根据新疆和田河流域3个测站的多年实测径流资料,从径流的年内分配和年际变化2个方面分析了和田河流域河川径流的变化特征。计算结果表明,在年内分配方面,由于径流补给来源的作用,流域径流绝大部分集中在夏季,这就使得径流年内分配不均匀系数和集中度普遍较高,而计算所得的集中期也与实测最大月径流出现的情况相吻合。在径流的年际变化方面,尽管和田河流域的年降雨量存在递增的趋势,但是由于源区高山的雪线高程上升、冰川退缩,再加上人类活动的影响越来越显著,从而导致流域的河川径流呈现微弱的下降趋势。经过周期图法分析得到,和田河流域的年径流量不存在明显的周期成分。     

Attribution assessment and projection of natural runoff change in the Yellow River Basin of China

Climate variability and human activities are two driving factors in the hydrological cycle. The analysis of river basin hydrological response to this change in the past and future is scientifically essential for the improvement of water resource and land management. Using a water balance model based on Fu’ equation, the attribution of climate variability and land-use/land-cover change (LUCC) for natural runoff decrease was quantitatively assessed in the Yellow River Basin (YRB). With five general circulation model (GCM) s’ output provided by The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), future runoff in the context of climate change was projected. The results show that (1) compared with other distributed hydrological models, the water balance model in this study has fewer parameters and simpler calculation methods, thus having advantages in hydrological simulation and projection in large scale; (2) during the last 50 years, the annual precipitation and runoff have decreased, while the mean temperature has increased in the YRB. The decrease of natural runoff between natural period (1961 to 1985) and impacted period (1986 to 2011) could be attributed to 27.1–49.8 and 50.2–72.9% from climate variability and LUCC, respectively. As the LUCC is the major driving factor of the decrease in the upper and middle reaches of the YRB, policymakers could focus on water resources management. While climate variability makes more contribution in the middle and lower reaches of the YRB, it is essential to study the impact of future climate change on water resources under different climate change scenarios, for planning and management agencies; (3) temperature and precipitation in the YRB were predicted to increase under RCP4.5. It means that the YRB will become warmer and wetter in the future. If we assume the land-use/land-cover condition during 2011 to 2050 is the same as that during 1986 to 2011, future annual average natural runoff in the YRB will increase by 14.4 to 16.8%. However, future runoff will still be lower than the average value during 1961 to 1985. In other words, although future climate change will cause the increase of natural runoff in the YRB, the negative effect of underlying surface condition variation is stronger. It is necessary to promote the sustainable development and utilization of water resources and to enhance adaptation capacity so as to reduce the vulnerability of the water resources system to climate change and human activities.