对IPCC第五次评估报告中有关淡水资源相关结论的解读

IPCC第五次评估报告指出,与淡水资源相关的气候变化风险随着温室气体浓度增加而显著增加。气候变化已经导致区域降水发生显著变化;多年冻土、冰川持续萎缩,积雪不断减少;降雪区春季最大径流量逐渐提前,夏季干旱不断加剧。预估结果表明：21世纪温室气体排放将加剧淡水资源相关风险。如显著减少亚热带干旱地区的地表水和地下水资源,加剧行业之间用水竞争;极端事件（如极端降水）明显影响原水水质,威胁用水安全;气候变化同时将导致农业灌溉用水量增加、能源生产效率降低等不利影响。报告指出需采取硬性基础设施建设和软性制度措施建设相结合的适应措施,加强水资源管理,克服气候变化的负面影响,减少损失。     

SRES A2情景下未来30年我国东部夏季降水变化趋势

采用与全球海气耦合模式 (NCC/IAPT63) 嵌套的区域气候模式 (RegCM2_NCC), 对东亚区域进行了30年的气候积分 (1961—1990年), 作为控制试验的气候背景场, 在此基础上, 在IPCC第三次评估报告SRES排放情景A2下对我国未来30年 (2001—2030年) 的气候变化趋势进行了预估, 重点分析了我国东部季风区夏季降水的变化趋势及区域特征。结果显示:未来30年夏季平均降水量在北部地区呈现增加的趋势, 以降水量距平代表的夏季主要雨带转到长江以北地区, 且北方地区降水量增加主要以对流性降水量增加为主, 长江以南地区降水量有所减少, 特别是华南地区降水量减少较为明显, 据此预测结果, 未来30年华北地区夏季干旱可能有所缓解。未来30年夏季低层空气湿度也将发生明显变化, 主要表现为中高纬度地区湿度增大, 较低纬度地区湿度减小, 东亚夏季风有所增强, 特别是西南气流明显加强, 有利于暖湿空气向北方地区输送。由于预估结果的可信度取决于全球模式和区域模式的模拟性能以及温室气体排放浓度的准确性, 因此还需要更多的试验及进一步的综合比较, 以减少未来气候变化趋势预估的不确定性。     

“新疆融雪型洪水灾害综合防治示范工程实施方案(叶尔羌河流域)”项目

正一、立项背景新疆水资源总量缺乏且时空分布不均,融冰融雪(统称融雪)水是地表水资源的重要来源。在南疆地区,融雪水甚至是河流径流的主要来源,区域经济社会发展和水资源、生态环境保护的矛盾十分突出,水资源成为制约新疆经济发展和社会稳定的关键性要素之一。鉴于新疆是干旱区绿洲经济适应气候变化的典型区域,开展适应气候变化研究与评估,实施融雪型洪水灾害综合防治显得更为迫切。国家发展改革委     

气候变化与全球海洋:影响、适应和脆弱性评估之解读

本文主要简介IPCC第五次评估报告(AR5)第二工作组(WGII)报告海洋区域与气候变化相关的影响、适应和脆弱性的主要评估结论。本次评估报告首次将全球海洋视为地球上的一个区域,并根据全球海洋生态系统的结构和功能及海洋学特征,进一步将全球海洋(不包括极地海域)划分为7个亚区域。评估结果表明,自20世纪初以来,海洋大部分亚区域的平均海表温度有显著上升,对CO2的吸收使得海洋发生酸化,过去60年来全球海洋的物理和化学性质直至生态发生了明显变化,并呈现出若干与气候变化相关的风险和脆弱性,如海洋生物物种地理分布的迁移,生物多样性和渔业资源丰富度的减少,渔业捕获量随不同区域的变化,以及珊瑚礁生态保护作用的减弱等;同时,评估报告还针对气候变化的影响与风险,提出了有关适应性措施。此外,本文还探讨了气候变化对海洋影响评估存在的不足和难点,以及中国今后需要加强的相关工作。     

IPCC AR6报告关于不同类型干旱变化研究的新进展与启示

基于IPCC第一工作组(WGI)第六次评估报告(AR6),从干旱的定义和类型、干旱的驱动因素、监测到的干旱变化、干旱的归因以及预估5个方面进行了分析和总结.IPCC评估指出:(1)在全球变暖的背景下,监测到的气象和农业干旱的变化在全球尺度上并不显著,但干旱频发区域呈现不同程度的增加趋势.这种增加的趋势表明,人为气候变化...     

1870～2002年全球Palmar干旱指数集——PDSI与土壤湿度及地表增温效应的关系

用历史降水和温度资料得到全球陆地区域(分辨率为2.5°×2.5°)1870~2002年间的月Pal-m ar干旱指数(PDSI)。伊利诺斯州、蒙古及中国与前苏联部分地区有土壤湿度资料,暖季的PDSI与实测土壤湿度(土层厚度为1 m)呈显著相关(r=0.5~0.7),夏末和秋季相关最好,而春季由于融雪的影响相关最差。对世界最长河流(其中7条)及几条其他河流进行分析,各流域平均的年PDSI变化与径流相关很好(r=0.6~0.8),表明PDSI可以很好地表征地表土壤湿度状况与径流。对PDSI进行经验正交函数(EOF)分析,揭示了由降水、温度趋势及ENSO引起的年际内变率所产生的线性趋势。全球严重干旱区(PDSI<-3.0)面积自20世纪70年代以来增加了1倍多,其中80年代初由于ENSO引起的降水减少造成干旱区面积的突增,后来的增加主要归因于地表增温;全球非常湿润区(PDSI> 3.0)面积80年代减少不明显。自1972年以来,全球极干或极湿地区面积从20%增加到了38%,80年代中期以后地表增温是其主要原因。这些结果为日益增加的干旱风险提供了观测证据,干旱风险的增加是人类活动导致全球变暖的结果。     

沙特阿拉伯地下水资源过度利用的后果及对策

沙特阿拉伯位于阿拉伯半岛，总面积224万km^2，降水量很少且没有湖泊、河流，因此水资源十分匮乏，80％～85％的水资源为地下水。由于地表水资源的日益缺乏以及对水资源需求的逐年增加，沙特加大了对地下水的利用，约75％～85％的工农业及生活用水来自地下水，每年抽取的地下水远远超过其自然补给量，由于过度开采引发了一些严重的问题，如深层水的耗竭和地下水水质恶化。本文讨论地下水耗竭而产生的经济影响，并提出保护地下水资源的对策。     

Interpretation of IPCC AR6 on buildings北大核心CSCD

IPCC于2022年4月正式发布了第六次评估报告(AR6)第三工作组(WGⅢ)报告《气候变化2022:减缓气候变化》,该报告以已发布的第一和第二工作组报告作为基础,评估了各领域减缓气候变化的进展。报告的第九章建筑章节系统全面地评估了全球建筑领域的温室气体排放现状、趋势和驱动因素,综述并评估了建筑减缓气候变化的措施、潜力、成本和政策。报告主要结论认为,全球建筑领域有可能在2050年实现温室气体净零排放,但如果政策措施执行不力,将有可能在建筑领域形成长达几十年的高碳锁定效应。报告的主要结论将成为全球建筑领域应对气候变化行动的重要参考,对于我国建筑领域实现碳达峰、碳中和目标也有非常重要的借鉴意义。     

辽河流域气候变化及对径流影响预估与评估分析

辽河流域属于气候变暖较为显著区域,增温幅度比全球和全国的增温幅度都要高。同时辽河流域也是水资源较为匮乏且需求量大的地区,因此气候变化对水资源影响问题也更值得关注。基于长期历史观测气象水文数据和未来不同情景下气候变化预估资料,建立评估气候变化与径流量的关系,预估未来气候变化对径流量的可能影响,为辽河流域应对气候变化决策提供科学依据。结果表明:1961—2020年,辽河流域气温为持续上升趋势,降水没有明显的增减趋势,但存在阶段性变化;辽河流域降水量与径流量有较好的相关关系,具有较为一致的长期变化趋势与特征,年降水量与径流量相关数达到0.6以上。日降水量与径流量相关分析表明,降水发生后次日且为大雨降水等级(即日降水量≥25 mm)时,两者相关系数可高达0.85;敏感性试验和模式模拟试验表明,径流量对气候变化有明显的响应,降水增加(减少)、气温降低(升高),则径流量增加(减少);在未来RCP8.5排放情景下气温升高趋势最为明显,未来径流量也为显著增加趋势;RCP2.6排放情景下气温增加的幅度最小,未来径流量也表现为无明显增减趋势;RCP4.5情景下,气温增加的幅度居中,未来径流量则为减少趋势。     

过去60a间全球干旱变化甚微

由于气候变化,尤其在全球变暖导致降水减少和蒸发增加的情况下,未来干旱的强度和发生频率预计将会增加[1-3]。先前一些关于干旱变化的评估发现,从20世纪末到21世纪初,增加趋势可能已经在全球范围内发生。特别是用帕默尔干旱指数(PDSI)计算的结果表明,自1970年代以来,全球范围内水分总体是减小的,与干旱增加相对应,这在某     

An assessment of the climate change impacts on groundwater recharge at a continental scale using a probabilistic approach with an ensemble of GCMs

This study used 16 Global Climate Models and three global warming scenarios to make projections of recharge under a 2050 climate for the entire Australian continent at a 0.05° grid resolution. The results from these 48 future climate variants have been fitted to a probability distribution to enable the results to be summarised and uncertainty quantified. The median results project a reduction in recharge across the west, centre and south of Australia and an increase in recharge across the north and a small area in the east of the continent. The range of results is quite large and for large parts of the continent encompasses both increases and decreases in recharge. This makes it difficult to utilise for water resources management so the results have been analysed with a risk analysis framework; this enables the future projections for groundwater recharge to be communicated to water managers in terms of likelihood and consequence of a reduction in recharge. This highlights an important message for water resource managers that in most areas of Australia they will be making decisions on water allocations under considerable uncertainty as to the direction and magnitude of recharge change under a future climate and that this uncertainty may be irreducible.     

Climate change implications for irrigation and groundwater in the Republican River Basin,USA

This study investigates the influence of climate change on groundwater availability, and thereby, irrigation across political boundaries within the US High Plains aquifer. A regression model is developed to predict changes in irrigation according to predicted changes in precipitation and temperature from a downscaled dataset of 32 general circulation models (GCMs). Precipitation recharge changes are calculated with precipitation-recharge curves developed for prognostic representations of precipitation across the Nebraska-Colorado-Kansas area and within the Republican River Basin focal landscape. Irrigation-recharge changes are scaled with changes in irrigation. The groundwater responses to climate forcings are then simulated under new pumping and recharge rates using a MODFLOW groundwater flow model. Results show that groundwater pumping and recharge both will increase and that the effects of groundwater pumping will overshadow those from natural fluctuations. Groundwater levels will decline more in areas with irrigation-driven decreasing trends in the baseline. The methodologies and predictions of this study can inform long-term water planning and the design of management strategies that help avoid and resolve water-related conflicts, enabling irrigation sustainability.     

Climate Change and Water Resources in Britain

This paper explores the potential implications of climate change for the use and management of water resources in Britain. It is based on a review of simulations of changes in river flows, groundwater recharge and river water quality. These simulations imply, under feasible climate change scenarios, that annual, winter and summer runoff will decrease in southern Britain, groundwater recharge will be reduced and that water quality – as characterised by nitrate concentrations and dissolved oxygen contents – will deteriorate. In northern Britain, river flows are likely to increase throughout the year, particularly in winter. Climate change may lead to increased demands for water, over and above that increase which is forecast for non-climatic reasons, primarily due to increased use for garden watering. These increased pressures on the water resource base will impact not only upon the reliability of water supplies, but also upon navigation, aquatic ecosystems, recreation and power generation, and will have implications for water quality management. Flood risk is likely to increase, implying a reduction in standards of flood protection. The paper discusses adaptation options.     

Modelling potential impacts of climate change on water and nitrate export from a mid-sized, semiarid watershed in the US Southwest

The impacts of climate change on water and nitrogen cycles in arid central Arizona (USA) were investigated by integrating the Second Generation Coupled Global Climate Model (CGCM2) and a widely used, physical process-based model, Soil and Water Assessment Tool (SWAT). With statistically downscaled daily climate data from the CGCM2 as model input, SWAT predicted increased potential evapotranspiration and decreased surface runoff, lateral flow, soil water, and groundwater recharge, which suggests serious consequences for the water cycle in this desert catchment in the future. Specifically, stream discharge is projected to decrease by 31 % in the 2020s, 47 % in the 2050s, and 56 % in the 2080s compared to the mean discharge for the base period (0.73 m³/s). A flow-duration analysis reveals that the projected reduction of stream discharge in the future is attributable to significant decreases in mid-range and low-flow conditions; however, flood peaks would show a slight increase in the future. The drier and hotter future also will decrease the rate of nitrogen mineralization in the catchment and ultimately, nitrate export from the stream. Since mean mineralization rate would decrease by 15 % in the 2020s, 28 % in the 2050s, and 35 % in the 2080s compared to the based period (9.3 g N ha^?1 d^?1), the combined impact of reduced catchment mineralization and reduced streamflow would predict declining nitrate export: from today’s mean value of 30 kg N/d, to 20, 15 and 12 kg N/d by the 2020s, 2050s, and 2080s, respectively.     

Changes in future flood risk due to climate and development in a Dutch polder area

Damages from weather related disasters are projected to increase, due to a combination of increasing exposure of people and assets, and expected changes in the global climate. Only few studies have assessed in detail the potential range of losses in the future and the factors contributing to the projected increase. Here we estimate future potential damage from river flooding, and analyse the relative role of land-use, asset value increase and climate change on these losses, for a case study area in The Netherlands. Projections of future socioeconomic change (land-use change and increase in the value of assets) are used in combination with flood scenarios, projections of flooding probabilities, and a simple damage model. It is found that due to socioeconomic change, annual expected losses may increase by between 35 and 172% by the year 2040, compared to the baseline situation in the year 2000. If no additional measures are taken to reduce flood probabilities or consequences, climate change may lead to an increase in expected losses of between 46 and 201%. A combination of climate and socioeconomic change may increase expected losses by between 96 and 719%. Asset value increase has a large role, as it may lead to a doubling of losses. The use of single loss estimates may lead to underestimation of the impact of extremely high losses. We therefore also present loss–probability curves for future risks, in order to assess the increase of the most extreme potential loss events. Our approach thus allows a more detailed and comprehensive assessment than previous studies that could also be applied in other study areas to generate flood risk projections. Adaptation through flood prevention measures according to currently planned strategies would counterbalance the increase in expected annual losses due to climate change under all scenarios.     

Possible Impacts of Global Warming on the Hydrology of the Ogallala Aquifer Region

The Ogallala or High Plains aquifer provides water for about 20% of the irrigated land in the United States. About 20 km³ (16.6 million acre-feet) of water are withdrawn annually from this aquifer. In general, recharge has not compensated for withdrawals since major irrigation development began in this region in the 1940s. The mining of the Ogallala has been pictured as an analogue to climate change in that many GCMs predict a warmer and drier future for this region. In this paper we attempt to anticipate the possible impacts of climate change on the sustainability of the aquifer as a source of water for irrigation and other purposes in the region. We have applied HUMUS, the Hydrologic Unit Model of the U.S. to the Missouri and Arkansas-White-Red water resource regions that overlie the Ogallala. We have imposed three general circulation model (GISS, UKTR and BMRC) projections of future climate change on this region and simulated the changes that may be induced in water yields (runoff plus lateral flow) and ground water recharge. Each GCM was applied to HUMUS at three levels of global mean temperature (GMT) to represent increasing severity of climate change (a surrogate for time). HUMUS was also run at three levels of atmospheric CO₂ concentration (hereafter denoted by [CO₂]) in order to estimate the impacts of direct CO₂ effects on photosynthesis and evapotranspiration. Since the UKTR and GISS GCMs project increased precipitation in the Missouri basin, water yields increase there. The BMRC GCM predicts sharply decreased precipitation and, hence, reduced water yields. Precipitation reductions are even greater in the Arkansas basin under BMRC as are the consequent water yield losses. GISS and UKTR climates lead to only moderate yield losses in the Arkansas. CO₂-fertilization reverses these losses and yields increase slightly. CO₂ fertilization increases recharge in the base (no climate change) case in both basins. Recharge is reduced under all three GCMs and severities of climate change.     

Assessing the potential impact of climate change on the UK’s electricity network

We investigate how weather affects the UK’s electricity network, by examining past data of weather-related faults on the transmission and distribution networks. By formalising the current relationship between weather-related faults and weather, we use climate projections from a regional climate model (RCM) to quantitatively assess how the frequency of these faults may change in the future. This study found that the incidences of both lightning and solar heat faults are projected to increase in the future. There is evidence that the conditions that cause flooding faults may increase in the future, but a reduction cannot be ruled out. Due to the uncertainty associated with future wind projections, there is no clear signal associated with the future frequency of wind and gale faults, however snow, sleet and blizzard faults are projected to decrease due to a reduction in the number of snow days.     

Future changes of the terrestrial ecosystem based on a dynamic vegetation model driven with RCP8.5 climate projections from 19 GCMs

Future changes of terrestrial ecosystems due to changes in atmospheric CO₂ concentration and climate are subject to a large degree of uncertainty, especially for vegetation in the Tropics. Here, we evaluate the natural vegetation response to projected future changes using an improved version of a dynamic vegetation model (CLM-CN-DV) driven with climate change projections from 19 global climate models participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5). The simulated equilibrium vegetation distribution under historical climate (1981–2000) has been compared with that under the projected future climate (2081–2100) scenario for Representative Concentration Pathway 8.5 (RCP8.5) to qualitatively assess how natural potential vegetation might change in the future. With one outlier excluded, the ensemble average of vegetation changes corresponding to climates of 18 GCMs shows a poleward shift of forests in northern Eurasia and North America, which is consistent with findings from previous studies. It also shows a general “upgrade” of vegetation type in the Tropics and most of the temperate zones, in the form of deciduous trees and shrubs taking over C3 grass in Europe and broadleaf deciduous trees taking over C4 grasses in Central Africa and the Amazon. LAI and NPP are projected to increase in the high latitudes, southeastern Asia, southeastern North America, and Central Africa. This results from CO₂ fertilization, enhanced water use efficiency, and in the extra-tropics warming. However, both LAI and NPP are projected to decrease in the Amazon due to drought. The competing impacts of climate change and CO₂ fertilization lead to large uncertainties in the projection of future vegetation changes in the Tropics.     

气候变化对淮河蒙洼蓄滞洪区启用风险影响评估

基于RCP情景下47个IPCC CMIP5气候模式模拟数据和大尺度水文模型VIC,预估了未来（2021-2050年）气候变化对淮河蒙洼蓄滞洪区启用的可能影响。结果表明：与基准期（1971-2000年）相比,多模式预估淮河上游未来多年平均气温一致呈增加趋势,平均增幅范围0.2～1.7℃。不同模式对降水预估差异较大,但有超过70%的模式预估降水呈增加趋势,平均增幅为3.4%～4.1%。未来气候情景下,王家坝断面洪水总体呈增加趋势,20年一遇的洪水强度平均增幅19%,洪水频率将增大,蒙洼蓄滞洪区启用可能更加频繁,启用的风险加大。     

Climate volatility and poverty vulnerability in Tanzania

Climate volatility could change in the future, with important implications for agricultural productivity. For Tanzania, where food production and prices are sensitive to climate, changes in climate volatility could have severe implications for poverty. This study uses climate model projections, statistical crop models, and general equilibrium economic simulations to determine how the vulnerability of Tanzania's population to impoverishment by climate variability could change between the late 20th Century and the early 21st Century. Under current climate volatility, there is potential for a range of possible poverty outcomes, although in the most extreme of circumstances, poverty could increase by as many as 650,000 people due to an extreme interannual decline in grain yield. However, scenarios of future climate from multiple climate models indicate no consensus on future changes in temperature or rainfall volatility, so that either an increase or decrease is plausible. Scenarios with the largest increases in climate volatility are projected to render Tanzanians increasingly vulnerable to poverty through impacts on staple grains production in agriculture, with as many as 90,000 additional people entering poverty on average. Under the scenario where precipitation volatility decreases, poverty vulnerability decreases, highlighting the possibility of climate changes that oppose the ensemble mean, leading to poverty impacts of opposite sign. The results suggest that evaluating potential changes in volatility and not just the mean climate state may be important for analyzing the poverty implications of climate change.