Climate Change Impacts on Local Flood Risks in the U.S. Northeast: A Case Study on the Connecticut and Merrimack River Basins

This study investigates the potential impacts of climate change on future flows in the main stem of the Connecticut and Merrimack rivers within Massachusetts. The study applies two common climate projections based on (Representative Concentration Pathways), RCP 4.5 and RCP 8.5 and downscaled gridded climate projections from 14 global climate models (GCMs) to estimate the 100‐year, 24‐h extreme precipitation events for two future time‐periods: near‐term (2021–2060) and far‐term (2060–2099). 100‐year 24‐h precipitation events at near‐ and far‐term are compared to GCM‐driven historical extreme precipitation events during a base period (1960–1999) and results for RCP 8.5 scenario show average increases between 25%–50% during the near‐term compared to the base period and increases of over 50% during the far‐term. Streamflow conditions are generated with a distributed hydrological model where downscaled climate projections are used as inputs. For the near‐term, the medians of the GCMs using the RCP 4.5 and RCP 8.5 suggest 2.9%–8.1% increases in the 100‐year, 24‐h flow event in the Connecticut and an increase of 9.9%–13.7% in the Merrimack River. For the far‐term, the medians of the GCMs using the RCP 4.5 and RCP 8.5 suggest a 9.0%–14.1% increase in the Connecticut and 15.8%–20.6% for the Merrimack River. Ultimately, the results presented here can be used as a guidance for the long‐term management of infrastructures on the Connecticut and Merrimack River floodplains.     

气候投融资加速发展新生态研究

应对气候变化实现碳达峰、碳中和目标需要海量的资金投入并将为中国带来巨大的气候资金缺口,解决这一难题亟须大量的资金投入和高效的投融资手段。2020年以来我国气候投融资顶层文件相继出台,尽管气候投融资体系和试点工作的研究逐渐丰富,但是气候投融资理论研究仍然落后于地方和金融机构的相关实践。本文聚焦于气候投融资体系中存在的标准不统一、机制不灵活、信息不对称、数据不可靠等关键问题,梳理气候投融资加速发展所需的关键要素,讨论气候投融资加速发展的预期目标,提出一套结合数字科技应用的气候投融资加速发展新生态体系及其标准体系、技术体系、数据体系的构建方案,旨在引导和鼓励资金流向技术先进、示范创新、气候效益显著的绿色低碳项目,为气候投融资试点和“双碳”政策落地,提供理论支撑和政策参考。     

基于DPSIR模型的天津滨海新区环境风险变化趋势分析

考虑区域环境污染事件的形成机制,根据驱动力-压力-状态-影响-响应(DPSIR)模型框架,提出系统度量区域环境风险变化趋势的指标体系和评价模型,并对天津滨海新区工业化进程中突发性环境污染事件引发的环境风险变化趋势进行了评估. 结果表明:天津滨海新区2007,2015及2020年环境风险分别为0.487,0.508和0.367,分别处于警戒状态、较差状态和警戒状态,说明滨海新区环境风险形势比较严峻,需要进一步采取更有效的响应对策.      

滇池流域宝象河暴雨径流初始冲刷效应

为了有效理解滇池非点源入湖过程,选择滇池流域宝象河开展暴雨径流初始冲刷效应的初步研究.2009年雨季,在其干流沿程上、中、下游设置3个断面进行了初期3场暴雨及河道水量、水质同步观测,并提出降雨净冲刷量、负荷净冲刷量以及净冲刷径流平均浓度EMCn的定义与计算方法.结果表明,宝象河TSS、TN、TP、高锰酸盐指数的EMCn、累积曲线M(V)随着河道沿程不透水地面比例和人口规模的增加而提高,TSS、TP负荷贡献率及其M(V)与降雨强度的变化趋势一致,而TN和高锰酸盐指数负荷贡献率则与降雨量表现正相关,其中TN中NO3--N所占比例随着降雨事件次数增加而逐渐降低;此外,提出的EMCn也被证实能有效消除各点位的基流及其负荷影响,相对冲刷径流平均浓度,更为真实反映且能放大沿程断面间、不同降雨事件间的暴雨初始冲刷效应的差异.     

CLIMATIC CHANGE AND U.S. WATER RESOURCES: FROM MODELED WATERSHED IMPACTS TO NATIONAL ESTIMATES1

ABSTRACT: Water is potentially one of the most affected resources as climate changes. Though knowledge and understanding has steadily evolved about the nature and extent of many of the physical effects of possible climate change on water resources, much less is known about the economic responses and impacts that may emerge. Methods and results are presented that examine and quantify many of the important economic consequences of possible climate change on U.S. water resources. At the core of the assessment is the simulation of multiple climate change scenarios in economic models of four watersheds. These Water Allocation and Impact Models (Water‐AIM) simulate the effects of modeled runoff changes under various climate change scenarios on the spatial and temporal dimensions of water use, supply, and storage and on the magnitude and distribution of economic consequences. One of the key aspects and contributions of this approach is the capability of capturing economic response and adaptation behavior of water users to changes in water scarcity. By reflecting changes in the relative scarcity (and value) of water, users respond by changing their patterns of water use, intertemporal storage in reservoirs, and changes in the pricing of water. The estimates of economic welfare change that emerge from the Water‐AIM models are considered lower‐bound estimates owing to the conservative nature of the model formulation and key assumptions. The results from the Water‐AIM models form the basis for extrapolating impacts to the national level. Differences in the impacts across the regional models are carried through to the national assessment by matching the modeled basins with basins with similar geographical, climatic, and water use characteristics that have not been modeled and by using hydro‐logic data across all U.S. water resources regions. The results from the national analysis show that impacts are borne to a great extent by nonconsumptive users that depend on river flows, which rise and fall with precipitation, and by agricultural users, primarily in the western United States, that use a large share of available water in relatively low‐valued uses. Water used for municipal and industrial purposes is largely spared from reduced availability because of its relatively high marginal value. In some cases water quality concerns rise, and additional investments may be required to continue to meet established guidelines.     

四川金堂县生态旅游气候资源评价

对四川省金堂县生态旅游资源的统计分析和评价表明,该地区属第一类生态旅游圈,生态旅游资源极富异趣.利用近10年气象资料逐日计算人体舒适度,平均每年舒适天数182d,为一类地区;适宜旅游的时段是3月下旬～6月下旬和9月上旬～11月中旬.     

中国西北地区气候变暖对农业的影响

选取西北地区资料年代较长的171个地面测站1961～2003年日平均气温资料,计算历年≥0℃、≥10℃积温和<0℃负积温,深入研究西北地区热量资源对气候变暖的响应及其对农业生产的影响。结果表明:1987～2003年比1961～1986年的平均值明显增高,尤以最低气温增幅最大,这说明最低气温的变化比最高气温的变化更敏感,西北地区气候变暖主要来自最低气温升高的贡献。冬季升温幅度大于夏季,<0℃负积温绝对值明显减少。西北地区20世纪80年代后期气候明显变暖,热量资源增加,喜温作物面积扩大,越冬作物种植区北界向北扩展,对牧区牲畜越冬度春有利。西北地区气候变暖对农业的负面影响大于正面影响。     

基于区域气候模式CCLM的中国极端降水事件预估

选用中国气象局国家气候中心由逐日观测资料插值而成的格点化观测数据集,评估了区域气候模式COSMO-CLM(CCLM)对中国极端降水的模拟能力,并对2016—2050年中国极端降水事件进行预估。文中主要采用强度-面积-持续时间(Intensity-Area-Duration,IAD)方法,识别了既定时间尺度下具有一定强度和影响面积的极端降水事件,分析未来中国极端降水事件的特征和变化趋势,结果表明:1)区域气候模式CCLM对中国极端降水的空间分布和变化趋势均有较强的模拟能力;2)2016—2050年中国极端降水事件整体呈增加趋势,RCP 8.5情景下变化更为显著,事件强度更大;3)未来不同情景下,均有可能发生强度或影响面积超过基准期最大值的事件,其中影响面积大的事件多发生在华北和东北,强度大的事件多发生在西南和华南。     

上海城市热岛效应的特征分析

根据上海市城区和郊区的６个Ｄａｖｉｓ自动气象观测仪，１９９８、１９９９年两年观测记录，分析了近年来上海市城市热岛的变化特征。结果表明：上海市全年出现城市热岛的概率为８５．１３％，大多数的热岛强度约为２～３℃，有时可以达到３～５℃，最大热岛强度可达７．３７℃；上海市城市热岛可分为Ａ、Ｂ两大类，Ａ类日变化较平稳，强度较弱，主要发生在春夏季节；而Ｂ类有明显的日变化，强度较大，基本上发生在秋冬季节，上海市     

全球气候变化下的中国粮食安全问题研究

粮食是人类生存的基础,保障粮食安全是“2030年可持续发展议程”的重要目标之一。论文基于粮食系统视角,从全球气候变化对粮食系统的作用、保障粮食安全对全球气候变化的影响,以及应对全球气候变化的粮食安全适应性策略出发,揭示粮食安全与全球气候变化的相互作用,系统梳理全球气候变化下的中国粮食安全问题。研究结果表明：1）全球气候变化导致粮食系统不确定性增加,且对中国粮食生产的影响加剧;2）粮食需求是全球气候变化的主要驱动力,粮食生产要素的重新配置加剧了全球气候变化;3）多尺度有机结合应对全球气候变化保障粮食安全需在微观上“藏粮于技”实现提质增效,在中观上“藏粮于地”注重生态建设,在宏观上坚持市场为主导完善粮食政策体系。全球气候变化背景下,保障粮食安全研究呈现从单一学科、单一维度、单一手段向依靠多学科开展多尺度、多要素、系统综合集成研究保障粮食安全转变,从高碳粮食系统向低碳高效粮食系统转变的趋势。