多维联合概率理论对三峡工程设计洪水的计算

首次将多维联合概率理论应用到三峡大坝设计洪水的风险分析,并用随机模拟方法(ISPUD)对四维联合概率分布进行了求解,得出在长江上游干流及主要支流来水量出现的不同组合和最不利组合情况下,相应三峡大坝不同联合重现期的设计洪水。可用于三峡工程的风险分析及防洪调度。     

长江河口涨、落潮槽内的沙波地貌和输移特征

涨、落潮槽是河口区的重要地貌单元,槽内由于不同的优势流作用而表现出不同的泥沙运移特征。沙波是底沙输移的表现,因此研究槽内的沙波特征对于涨、落潮槽的水动力和沉积地貌研究有重要的意义。本文依据现场声纳观测、测深仪测深、表层取样和现场水动力观测等方法获得河槽床面沙波和水动力资料,对沙波的几何形态、波高和全潮周期的迁移距离进行...     

长江口涨、落潮槽底沙输移趋势探讨

选择长江口南港南小泓和南港主槽作为典型涨、落潮槽为研究对象，以2001年9月所采底沙的颗粒分析资料为根据，并结合实测水文、泥沙资料进行水动力分析，运用Gao-Collins粒径趋势分析模型分析了底沙输移趋势，结果表明：南小泓的底沙主要是来自口门附近，由于涨潮流强于落潮流而使底沙向上游输移，即SE—NW方向，而南港主槽的底沙主要来自上游，由于落潮流强于涨潮流而使泥沙向下游输移，即NW—SE方向。     

Characteristics and variations of the East Asian monsoon system and its impacts on climate disasters in China

Recent advances in studies of the structural characteristics and temporal-spatial variations of the East Asian monsoon （EAM） system and the impact of this system on severe climate disasters in China are reviewed. Previous studies have improved our understanding of the basic characteristics of horizontal and vertical structures and the annual cycle of the EAM system and the water vapor transports in the EAM region. Many studies have shown that the EAM system is a relatively independent subsystem of the Asian- Australian monsoon system, and that there exists an obvious quasi-biennial oscillation with a meridional tripole pattern distribution in the interannual variations of the EAM system. Further analyses of the basic physical processes, both internal and external, that influence the variability of the EAM system indicate that the EAM system may be viewed as an atmosphere-ocean-land coupled system, referred to the EAM climate system in this paper. Further, the paper discusses how the interaction and relationships among various components of this system can be described through the East Asia Pacific （EAP） teleconnection pattern and the teleconnection pattern of meridional upper-tropospheric wind anomalies along the westerly jet over East Asia. Such reasoning suggests that the occurrence of severe floods in the Yangtze and Hualhe River valleys and prolonged droughts in North China are linked, respectively~ to the background interannual and interdecadal variability of the EAM climate system. Besides, outstanding scientific issues related to the EAM system and its impact on climate disasters in China are also discussed.     

洪灾风险评价与区划研究进展

洪灾风险评价是洪灾风险管理的首要步骤。洪灾风险区划是在洪灾风险评价基础上的宏 观分区, 有助于更清晰的把握洪灾风险的空间格局与内在规律。文章首先对洪灾风险相关概念进 行了阐述, 试图达到理清和规范的目的。然后对洪灾风险评价常用方法和洪灾风险区划研究进行 了评述。目前主要的洪灾风险评价方法有地貌学方法、水文水力学模型与系统仿真模拟方法、基 于历史灾情数据的方法、基于水灾史料和古洪水调查的方法、遥感与GIS 方法、基于洪灾形成机 制的系统分析方法等。最后对洪灾风险评价与洪灾风险区划研究进行了小结, 并指出了未来在洪 灾风险评价与区划的数据基础、洪灾风险评价的时空尺度、洪灾风险区划的理论与方法、洪灾风 险评价与区划的技术手段等方面的可能发展前景。     

鄱阳湖区洪灾风险与农户脆弱性分析

This paper quantitatively explores farmers' vulnerability to flood in the Poyang Lake Region (PLR) with the supports of GIS spatial functions. The analysis consists of three major steps,which is based on the spatial unit of township. Firstly,the spatial extent and charac-teristics of flood risk areas were determined using a digital elevation model (DEM) derived from the 1:50,000 topographic map. Secondly,for each of the township,six indices indicating the economic activities of local farmers were calculated. These indices are: rural population proportion,cultivated land proportion,GDP per unit area,employment proportion of primary industry,net rural income per capita and agricultural income proportion. These six indices were then normalized and used for later vulnerability assessment. Thirdly,the normalized indices (as GIS data layers) were overlaid with the flood risk areas to produce the risk coeffi-cient for each township and to calculate the overall vulnerability for each township. The analysis results show that in the PLR there are high flood risk areas where the farmers' livings are seriously influenced or threatened. About 55.56% of the total 180 townships in the flood risk areas have a high degree of flood vulnerability. The townships under flood risk are mainly distributed in the areas around the Poyang Lake and the areas along the "five rivers".     

From China’s Heavy Precipitation in 2020 to a “Glocal” Hydrometeorological Solution for Flood Risk Prediction

The prolonged mei-yu/baiu system with anomalous precipitation in the year 2020 has swollen many rivers and lakes,caused flash flooding,urban flooding and landslides,and consistently wreaked havoc across large swathes of China,particularly in the Yangtze River basin.Significant precipitation and flooding anomalies have already been seen in magnitude and extension so far this year,which have been exerting much higher pressure on emergency responses in flood control and mitigation than in other years,even though a rainy season with multiple ongoing serious flood events in different provinces is not that uncommon in China.Instead of delving into the causes of the uniqueness of this year’s extreme precipitation-flooding situation,which certainly warrants in-depth exploration,in this article we provide a short view toward a more general hydrometeorological solution to this annual nationwide problem.A“glocal”(global to local)hydrometeorological solution for floods(GHS-F)is considered to be critical for better preparedness,mitigation,and management of different types of significant precipitation-caused flooding,which happen extensively almost every year in many countries such as China,India and the United States.Such a GHS-F model is necessary from both scientific and operational perspectives,with the strength in providing spatially consistent flood definitions and spatially distributed flood risk classification considering the heterogeneity in vulnerability and resilience across the entire domain.Priorities in the development of such a GHS-F are suggested,emphasizing the user’s requirements and needs according to practical experiences with various flood response agencies.     

全过程联合校正方法在饶河流域洪水预报中的应用研究

为提高饶河流域洪水预报精度,将全过程联合校正(EPJC)方法与三水源新安江(XAJ)模型结合,按一定比例划分洪水预报总误差为各过程误差,基于系统响应理论反演得到面雨量计算误差和模型参数误差,重新输入流域水文模型正演得出校正后的洪水过程.选取洪峰流量相对误差、峰现时间绝对误差、径流深相对误差和确定性系数作为模型评价指标,...     

关于复合型极端事件的新认识和启示

近年来,极端天气气候事件频繁发生,且常常表现为多种事件交织形成的复合型极端事件。为了更好地认识复合型极端事件,IPCC AR6基于现有的新证据评估了复合型极端事件的最新研究成果,并取得一些新认识：扩展了有关复合型极端事件的定义,重点围绕高温干旱复合型极端事件、复合洪水和野火,评估了复合型极端事件的变化特征,探讨了复合型极端事件多因子之间的依赖性,对人类活动的影响进行了归因分析并给出了未来可能的变化。这些评估结果丰富了对复合型极端事件的基本认识。但根据现有的评估可以发现,目前在复合型极端事件发生发展机理认识方面还存在不足;同时,未来仍需进一步完善跨学科跨部门跨区域研究,加强对复合型极端事件形成机理、预估及其对生态系统,经济社会影响风险的评估,提高对区域气候变化的适应能力。     

秋行夏令:2021年10月初北方致灾性持续暴雨及水汽极端性分析

2021年10月3—6日,我国北方地区经历了历史罕见的持续性极端强降水过程,暴雨中心稳定维持在陕西中部、山西、京津冀、辽宁等地南部和山东北部,给上述地区造成了巨大的经济损失和严重的人员伤亡。基于台站观测降水、NCEP/NCAR和ERA5再分析资料诊断了本次降水过程的极端性。结果表明,本次暴雨过程无论是降水强度、持续时长还是经向水汽输送均表现出典型北方夏季暴雨和大气环流配置特征。上述五省二市区域平均的过程累计雨量强度远远超过秋季其他暴雨个例,即使在夏季也位列第二。本次过程的极端性与强降水中心稳定在上述地区密切相关。上述五省二市区域平均降水连续4日均超过15 mm,这在秋季历史上从未出现过。除过程的极端性强外,9月山西等地降水异常偏多对10月初秋涝也起到了叠加作用。本次秋涝对应的大气环流呈现出典型的北方夏季主雨季环流型,表现为西太平洋副热带高压（副高）偏西偏北,副高西侧的经向水汽输送异常强盛,同时10月4—6日北方地区发生一次强冷空气过程,冷暖气流交汇在上述地区。水汽收支计算表明,本次过程的经向水汽输送强度为秋季历史之最,甚至超过了盛夏时期北方大部分暴雨过程水汽输送强度。上述分析结果表明,即使在仲秋时节亦可产生有利于北方极端持续暴雨的环流形势和水汽输送,并导致秋涝发生。