Assessment of Snowmelt Runoff Using Remote Sensing and Effect of Climate Change on Runoff

Runoff regimes in Himalayan basins are controlled mainly by melting of snow and ice cover. The air temperature is the principal variable to estimate the importance of the melting of the snow cover when using snowmelt runoff model. Changes in temperature will ultimately affect stream flow and snow/ice melt runoff in particular. Global atmospheric general circulation models (GCMs) have been developed to simulate the present climate and used to predict future climatic changes and its effect. These GCMs have certain disadvantages, therefore another simple approach of hypothetical scenarios have been developed and successfully demonstrated in this study to investigate the effect of changes in temperature. Adopted plausible climate scenarios included three temperature scenarios (T + 1, T + 2, T + 3°C). The effect of these changes has been studied on the stream flow which has contribution from snowmelt, rainfall and base flow in the Satluj basin. It was observed that with the increase in temperature there is not much change in total stream flow, but the distribution of stream flow have changed. More snowmelt runoff occurred earlier due to increased snow melting however, reduced in the monsoon months.     

Integrated Reservoir Management System for Adaptation to Climate Change: The Nakdong River Basin in Korea

This study begins with the premise that current reservoir management systems do not take into account the potential effects of climate change on optimal performance. This study suggests an approach in which multi-purpose reservoirs can adapt to climate change using optimal rule curves developed by an integrated water resources management system. The system has three modules: the Weather Generator model, the Hydrological Model, and the Differential Evolution Optimization Model. Two general circulation models (GCMs) are selected as examples of both dry and wet conditions to generate future climate scenarios. This study is using the Nakdong River basin in Korea as a case study, where water supply is provided from the reservoir system. Three different climate change conditions (historic, wet and dry) are investigated through the compilation of six 60 years long scenarios. The optimal rule curves for three multi-purpose reservoirs in the basin are developed for each scenario. The results indicate that although the rule curve for large-size reservoir is less sensitive to climate change, medium or small-size reservoirs are very sensitive to those changes. We further conclude that the large reservoir should be used to release more water, while small or medium-size reservoirs should store inflow to mitigate severe drought damages in the basin.     

Impacts of Climate Change and Human Activities on the Surface Runoff in the Tarim River Basin over the Last Fifty Years

The impacts of climate change and human activities on the surface runoff were analyzed by the Mann–Kendall and trend analysis methods based on the hydrological, meteorological and socioeconomic data over the last 50 years in the Tarim River basin. Results show that the runoff in the headstreams increased but that in the mainstreams decreased significantly during the past 50 years. The former is a response to climate change, and the later is due to human activities. The surface runoff in the mainstreams decreased by 41.59, 63.77 and 75.15% in the 1970s, 1980s and 1990s, respectively, as compared to that without being disturbed by human activities in the same period. The main human activities are the irrigated agriculture combined with population increase in the region. As a consequence, the ecosystem in the lower reaches of Tarim River has degenerated, largely owing to inappropriate allocation of water resources.     

气候变化对黄河水资源的影响

首先简要介绍了黄河月水文模型，然后在分析气温变化对黄河流域发能力影响的基础上，采取假定气候方案，分析了黄河主要产流区径流对气候变化的敏感性，最后根据全球气候模型ＧＣＭｓ输出的降水、气温结果、估算了温室效应对主要产流区水资源的影响，并进一步分析得出：黄河未来几十年径流量呈减少趋势，汛期径流和年径流的约分别减落２５．４和３５．７亿ｍ＾３，其中兰州以上减少最多，占总减少量的一半以上。     

Future Hydrological Drought Analysis Considering Agricultural Water Withdrawal Under SSP Scenarios

Hydrological drought is assessed through river flow, which depends on river runoff and water withdrawal. This study proposed a framework to project future hydrological droughts considering agricultural water withdrawal (AWW) for shared socioeconomic pathway (SSP) scenarios. The relationship between AWW and potential evapotranspiration (PET) was determined using a deep belief network (DBN) model and then applied to estimate future AWW using projections of the twelve global climate models (GCMs). 12 GCMs were bias-corrected using the quantile mapping method, climate variables were generated, and river flow was estimated using the soil and water assessment tool (SWAT) model. The standardized runoff index (SRI) was used to project the changes in hydrological drought characteristics. The results revealed a higher occurrence of severe droughts in the future. Droughts would be more frequent in the near future (2021–2060) than in the far future (2061–2100) and more severe when AWW is considered. Droughts would also be more severe for SSP5-8.5 than for SSP2-4.5. The study revealed that the increased PET due to rising temperatures is the primary cause of the increased drought frequency and severity. The AWW will accelerate the drought severities in the future in the Yeongsan River basin.

     

Climate Change and Hydrologic Models: A Review of Existing Gaps and Recent Research Developments

Global atmospheric general circulation models (GCMs) have been developed to simulate the present climate and used to predict future climatic change. While GCMs demonstrate significant skill at the continental and hemispheric spatial scales and incorporate a large proportion of the complexity of the global system, they are inherently unable to represent local subgrid-scale features and dynamics. The existing gap and the methodologies for narrowing the gap between GCMs' ability and the need of hydrological modelers are reviewed in this paper. Following the discussion of the advantages and deficiencies of various methods, the challenges for future studies of the hydrological impacts of climate change are identified.     

Water temperatures in the headwaters of the Volga River: Trend analyses,possible future changes,and implications for a pan‐European perspective

Water temperature is a physical property influencing abiotic and biotic parameters in an aquatic ecosystem. In different Central European rivers and lakes, a general trend of water temperatures in the range of +0.05 to +0.8 °C per decade was identified. Our case study analyses whether similar patterns apply to the headwaters of the Volga River, in the East European plain. Based on a dataset of water temperatures for 2008–2015, we investigated the spatial and temporal distribution of water temperature along the Tudovka River and estimated backward as well as predicted future changes from development scenarios throughout the 21st century. Stochastic models were applied to track trends and variations in water temperature. Furthermore, the correlation between water temperature and air temperatures was used to model historical water temperatures and to predict possible changes in the future, under the effects of climate change. Based on climate change scenarios, an increase of the mean water temperatures as well as changes regarding the ice cover can be expected until the end of this century. The conditions described for the headwaters of the Volga River system represent a valuable dataset for medium and large rivers in the East European plain and serve as a basis for future management.     

气候变化条件下洪泽湖以上流域水资源演变趋势

基于IPCC对全球和中国的气候变化趋势,利用1990—2011年气象资料,采用增量情景设置方法,分析气候变化情景下洪泽湖以上流域水资源的演变趋势。结果表明:该流域水资源量对降雨变化有较强的敏感性,实际蒸散发对温度变化的敏感性较强。与基准期相比,在气温同等条件、降水增加情景下,流域水资源量呈增加趋势;在降水同等条件、气温升高情景下,流域的实际蒸发会增加,导致水资源量呈减少的趋势。径流年内分配受降水变化影响较大;随着降水增加,径流年内分配更集中,加大年内径流分配差异,可能加大流域湖泊调蓄压力。     

Vulnerability of Korean water resources to climate change and population growth.

Freshwater availability is affected by changes in climate and growth. We assessed the freshwater vulnerability for five major Korean river basins for 2015 and 2030. We used a regional climate model based on the IPCC SRES A2 scenario, US Geological Survey's Precipitation Rainfall Simulation Model, and population and industrial growth scenarios for impact assessment. The model simulation results suggest increasing spatial and temporal variations of water stress for the basins that are already developed. While freshwater is more vulnerable to growth scenarios than the climate change scenario, climate change alone could decrease mean annual runoff by 10% in four major river basins by 2030. As the first national assessment of climate change, we suggest possible adaptive water resource management and policy strategies for reducing climate related risks in Korea.     

气候变化对汾河(运城段）径流影响模拟

将分布式水文模型——SWAT模型应用于汾河（运城段）的径流模拟,以期为流域水资源管理、优化配置提供科学依据。首先,分析模型对研究区域的适用性,并在现有资料基础上对流域径流进行模拟研究,从时间、空间两个方面共同诠释了流域内径流与降水的关系;其次,根据流域未来气候可能变化,由增量情景法设定了不同气候情景,模拟未来气候情景下径流的变化趋势以及径流量的年内变化特征。结果表明:①研究区域内径流在时空分布上均与降水量分布吻合;②研究区域内径流量变化与气温变化呈负相关关系,与降水量变化呈正相关关系,且降水量变化对研究区域径流量产生的影响比温度变化产生的影响大;③径流量的年内分布呈季节性特点,汛期（7—10月份）最大,枯水期（11月至翌年3月份）最小;④未来气候变化趋势下,研究区域径流量将呈相应增加趋势,在气温升高0.5℃和降水量增加10%的情景下,河津水文站的径流量将增加1.29 亿m3。     

Assessing Impacts of Conservation Measures on Watershed Hydrology Using MIKE SHE Model in the Face of Climate Change

Climate change triggers changes in temperature, precipitation, evapotranspiration, etc. and has a significant impact on water resources in many regions. Considering the increasing scarcity of water as a result of climate change, conservation of water and groundwater recharge have become crucial factors for water resources planning and management. In this paper, an attempt is made to study the detailed hydrological behaviour of a treated watershed using physically based distributed hydrological modelling system MIKE SHE to assess the impact of conservation measures on watershed hydrology considering future climate change. Three hypothetical management scenarios are simulated for the period 2010–2040. RegCM4 regional climate model is used in the study for RCP 4.5 and RCP 8.5 scenarios. Detailed hydrological water balance is extracted for individual years from 1979 to 2009 to compare relevant components. The evaluation for base period shows 10.06% reduction in surface runoff and 11.33% enhancement in groundwater recharge. Further simulation with RCP 4.5 and RCP 8.5 scenarios show notable reduction in surface runoff and increase in groundwater recharge. The structures in the micro-watershed influence the surface runoff and increase infiltration into the soil, resulting in higher groundwater recharge. MIKE SHE simulations for various structures management scenarios establish the role of conservation measures in reducing surface runoff and enhancing groundwater recharge under substantial effect of climate change. The results will assist in decision-making on watershed development plans in quantitative terms, including planning for water conservation measures in the face of climate change.

     

气候变化影响下黄河上游梯级水库群未来发电量预测

为分析气候变化影响下黄河上游大型水库入库来水过程及梯级发电量的时程变化规律,以黄河上游龙羊峡刘家峡梯级水库群为例,采用Mann-Kendall 突变检验方法对唐乃亥和小川水文序列进行突变识别,在此基础上构建了考虑融雪过程的HBV 水文模型,利用统计降尺度方法对CanESM2 和GFDL_ESM2G 两种气候模式3 种气候变化情景(RCP2. 6、RCP4. 5 和RCP8. 5) 下的降水、气温数据进行空间降尺度处理,并将其驱动水文模型预测未来入库来水过程,构建黄河上游梯级联合发电调度模型分析气候变化对未来发电调度过程的影响。结果表明:黄河上游径流序列突变年份集中于20 世纪80 年代,且2000 年之后径流量显著减少;气候变化将导致未来(2021—2050年)汛期6—9 月径流增加,非汛期径流显著减少;随着时间推移,不同气候变化情景下,龙羊峡和刘家峡两库的梯级发电量变化规律不同,RCP8.5 气候变化情景下,气候模式不确定性对其影响最大。     

青藏高原东南部径流特征的空间规律及控制因子研究

采用青藏高原东南部的水文气象资料,对比分析了该地区23个(区间)流域的年径流深、集中度与集中期、基流系数、退水系数等径流特征及其空间分布规律,并进一步研究了这些径流特征的控制因子。结果表明:该地区径流特征的空间分布规律为年径流深从东南(700~1 300 mm)向西北(<400 mm)递减,而集中度则呈相反的空间格局(从<0.44增加到>0.59);退水系数及基流系数,在低海拔地区随高程增大而增大(分别为0.55~0.69、0.51~0.73),但在高海拔地区则随高程增大而减小(0.74~0.42、0.79~0.63)。本研究发现,青藏东南径流特征空间规律的控制因子,具有显著的区域分异:在低海拔流域(平均高程<3 000 m),降水是径流特征的主要影响因子;而在高海拔流域(平均高程>3 000 m),仅径流深和集中度受降水控制,其他特征则主要受温度、冻土、地形等条件的共同影响。可见,由于青藏高原东南部降水和冻土对气候变化敏感,该地区水资源时空分布格局将面临很大的不确定性,对此应予以充分重视。     

若尔盖湿地流域径流变化及其对气候变化的响应

为探索未来气候变化情景下若尔盖高寒湿地水文过程和水循环演变规律,利用分布式水文模型,研究2020—2050年不同气候变化情景下若尔盖湿地流域径流变化趋势以及气候变化对湿地径流的影响。结果表明:在未来气候变化情景下,若尔盖湿地流域径流呈减少趋势,玛曲站径流减少比率最大,其次为若尔盖站,最后为唐克站;非汛期径流量减少幅度明显高于汛期,若尔盖湿地2020—2050年非汛期径流在未来气候变化情景下径流减少比率大部分在25%以上。非汛期径流的锐减可能会进一步加剧若尔盖湿地的退化和萎缩,导致黄河中下游区域的可利用水资源量减少。     

下岸水库对永安溪水文情势的影响分析

为了定量评估永安溪下岸水库对下游水文情势的影响,利用永安溪柏枝岙水文站1980—2020年的径流序列,采用不均匀系数、完全调节系数和集中度分析水库运行前后永安溪径流年内分配变化,并利用RVA法评估水文整体改变度。结果表明：下岸水库的蓄丰补枯作用明显,径流年内分配趋于均匀化;在取得防洪效益的同时,水库的运行也对永安溪水文情势产生了中度改变,改变度达42.82%,对流域内水生生态系统的健康形成潜在影响。     

金沙江中上游流域未来径流模拟研究

为了探究金沙江中上游流域未来径流变化趋势,为流域防洪规划提供依据,基于SWAT水文模型,选用CMIP5数据集建立未来时段的全球气候模式,从时间和空间尺度解析研究区2022—2050年径流变化趋势。结果表明：流域2022—2050年降水量和平均气温均高于基准期,并且呈现上升趋势,其中流域南部降水量增幅较大,流域北部气温增幅较大。在RCP2.6、RCP4.5、RCP8.5 3种气候情景下,2022—2050年年径流量均呈现增大趋势,变化率分别为5.79×10⁸、5.53×10⁸、2.99×10⁸ m³/a。相较于基准期,未来春季和秋季径流量呈现减少趋势,夏季和冬季径流量呈现增加趋势,冬季径流量增幅达到了10%。流域产流量呈现从西北到东南依次增加的特点,相较于基准期,流域南部产流量均呈现增加趋势。未来径流量呈现增加趋势,冬季径流量增幅较大,可能会发生冬汛等极端水文事件,流域南部受洪水威胁的可能性进一步增大。     

气候变化对滇中引水工程取水影响分析

气候变化正在逐渐改变全球的水循环现状,并对水文水资源及其应用产生重大影响。在联合国政府间气候变化专门委员会(IPCC)对气候变化趋势进行分析的基础上,优选近期、远期气候变化情景,并模拟在未来气候变化情景下金沙江流域干流主要断面的逐日流量过程,用以分析气候变化对金沙江干流石鼓断面水文干旱以及对滇中引水工程取水的影响。研究结果表明:受未来可能的气候变化影响,金沙江干流石鼓断面的水文干旱发生强度和发生频率都将有所增加,远期较近期具有高的不确定性;滇中引水工程不可取水天数和可调水量将会增加,但总体而言对工程的不利影响较小。     

GCMs降尺度及其在讨赖河上游径流预报中的应用

在气候变化和人类活动影响下,内陆河流域出山径流变异程度提升,研究径流预测及其对气候变化响应具有理论和实践的双重意义。以讨赖河流域上游为研究区,采用Delta降尺度及权重集成方法对14种GCMs在3种RCP情景下的气温和降水进行优化,预测分析了该区未来径流变化和水资源供需平衡。结果表明:由气候-生态联合驱动的径流预测模式在讨赖河流域适用性良好,气温对出山径流总体呈负减效应,降水和NDVI表现为正增效应。未来气温和降水呈增加趋势,增温主要发生在河谷地带,降水增加在分水岭周边更为显著。流域出山径流总体增加,不同子区径流变幅从小到大依次为OL06＜OL04＜OL05＜OL01＜OL03＜OL02。尽管未来出山径流有所增加,但从水资源满足度来看,平、枯水年讨赖河流域仍存在水资源短缺问题。     

径流对气候变化响应的定量分析研究

全球变暖导致的水文水资源问题越来越突出,已成为全社会关注的焦点问题之一。本文选择河南省境内5个水文站、44个气象站的气象资料,对径流对气候变化的响应运用多元回归方法作了定量分析,结果表明:年、月径流随降水量的增加而增加;随着平均气温的升高而减少。降水量越少,温度越高,则径流越少;反之降水量越多,温度越低,则径流越多。不同流域的月径流变化对各种气候变化情景的响应表现出一定的差异性,且差异相对年径流变化较小。     

Snowpack response in the Assiniboine-Red River basin associated with projected global warming of 1.0 °C to 3.0 °C

This study assesses snow response in the Assiniboine-Red River basin, located in the Lake Winnipeg watershed, due to anthropogenic climate change. We use a process-based distributed snow model driven by an ensemble of eight statistically downscaled global climate models (GCMs) to project future changes under policy-relevant global mean temperature (GMT) increases of 1.0 °C to 3.0 °C above the pre-industrial period. Results indicate that basin scale seasonal warmings generally exceed the GMT increases, with greater warming in winter months. The majority of GCMs project wetter winters and springs, and drier summers, while autumn could become either drier or wetter. An analysis of snow water equivalent (SWE) responses under GMT changes reveal higher correlations of snow cover duration (SCD), snowmelt rate, maximum SWE (SWE_max) and timing of SWE_max with winter and spring temperatures compared to precipitation, implying that these variables are predominantly temperature controlled. Consequently, under the GMT increases from 1.0 °C to 3.0 °C, the basin will experience successively shorter SCD, slower snowmelt, smaller monthly SWE and SWE_max, earlier SWE_max, and a transition from snow-dominated to rain-snow hybrid regime. Further, while the winter precipitation increases for some GCMs compensate the temperature-driven changes in SWE, the increases for most GCMs occur as rainfall, thus limiting the positive contribution to snow storage. Overall, this study provides a detailed diagnosis of the snow regime changes under the policy-relevant GMT changes, and a basis for further investigations on water quantity and quality changes.