流域水文模型计算域离散方法

常用的概念性水文模型 ,能够很好地模拟水文时间变化过程 ,但没有考虑水文变量和水文参数的空间变化与空间不均匀性。随着空间数据的获取手段的增多以及空间离散技术的发展 ,考虑水文参数和水文变量空间变化的分布式水文模型得到了极大的发展。本文详细介绍了分布式流域水文模型中用到的几种不同计算域离散方法 ,并讨论了河道汇流模型中常用到的有结构网格和无结构离散网格。地理信息系统技术对计算域离散有辅助作用 ,其有利于无结构离散网格的自动生成和交互修改 ,并可结合遥感技术 ,使水文模型能获取精确的空间分布的水文参数和水文变量。     

Estimating groundwater recharge rates in the southeastern Holstein region, northern Germany

In the southeastern Holstein region, located to the east of the metropolitan zone of Hamburg, northern Germany, a groundwater investigation program was conducted from 1984 to 2000 by the State Agency for Nature and Environment (Landesamt für Natur und Umwelt, LANU) of Schleswig-Holstein, Germany, with the aim of providing long-term, ecologically acceptable groundwater management plans for the region. The focal point of the investigation comprised the determination of groundwater recharge rates. The investigation method was based on the transfer of available lysimeter results from other regions to comparable regions within the area studied. With the help of lysimeter equations, potential amounts of percolation water were calculated. The groundwater recharge rate was then determined after subtraction of the surface runoff which was calculated for the entire area. All computations were performed with a spreadsheet program. Groundwater recharge rates were calculated for two areas. One consisted of roughly determining groundwater recharge rates for the total region (1,392 km²) of southeastern Holstein. The overall goal of these investigations was to identify potential areas of water exploitation. Areas in which groundwater recharge rates are high and groundwater outflow is low are particularly suited to water exploitation, since inflow rates into deeper aquifers are high. These areas are located on the flanks of the Elbe and Stecknitz River valleys. Subsurface groundwater runoff to these lowlands would be reduced through groundwater withdrawal. However, the resulting decline in shallow groundwater tables would be so small that it would have no detrimental ecological effects. Groundwater recharge rates were also calculated for a 110-km² area in the outskirts of Hamburg (Grosshansdorf model area) which is intensively developed for water supply. These investigations showed that the amount of groundwater recharge is already being withdrawn to a large extent. Approximately 65% of the recharge rate is currently withdrawn by the waterworks in this area, thus making further increases in exploitation rates unjustifiable from an ecological point of view. Electronic Publication     

DISTRIBUTIONS AND HYDROLOGICAL CHARACTERISTICS OF TROPICAL CYCLONE RAINSTORMS AND FLOODS IN CHINA

I.horoductionPleNorthwestPacificOceanisti1elnostfrequentlyaffeCtedareaoftropicalcyclone(TC).AboLIt36percentTCoftheworldoccurinffosarea[2],andthenumberofTCWhichlandedonChinawiti1n1akimumwindforcescalesoverlOisabout35percentofti1atintheeastemcoastalcoLUitriesofAsia[l].BothrainstormsandfloodsMide,theidriuenceofTCareheaVyinChina,suchastherainfalldePthof2749mm/3datXinliao,Taiwanandpeakdischargeof44,6oOm'/satHuanggo(55,42okn'),YalujiangRjver.Therefore,TCisanimportantfaCtorforflooddisas…     

龙门山前陆盆地形成与演化

本文将龙门山前陆盆地和龙门山冲断带作为一个地质整体进行了研究，并将构造地层学和层序地层学相结合的综合地层学的分析方法作为分析龙门山前陆盆地沉积的基础，以不整合面和其对应面将盆地充填序列分割为构造层序和层序，对应于不同成盆期和同一成盆期不同演化阶段，阐明龙门山前陆盆地充填序列和沉积体积三维空间配置形式及其在时间上的演化，初步建立了龙门山前陆盆地地层格架，进而研究龙门山冲断带逆部推覆作用对龙门山前陆盆     

Discussion of “Perceptual models of uncertainty for socio-hydrological systems: a flood risk change example”*

ABSTRACT

Dealing with uncertainty is key in socio-hydrological analysis. As such, thinking through what uncertainties mean for whom and when is key. This discussion contribution introduces three issues related to defining uncertainties. The first issue deals with the problem of defining uncertainty as a given external reality. The second issue deals with who decides about relevant uncertainties. The third issue deals with the issue whether coupled human-hydrological systems can be seen as existing on their own. Finally, the text provides two examples of hydrological research that try to be explicit about our dealing with multiple (interpretations of) realities.     

Large-sample hydrology: recent progress,guidelines for new datasets and grand challenges

ABSTRACT

Large-sample hydrology (LSH) relies on data from large sets (tens to thousands) of catchments to go beyond individual case studies and derive robust conclusions on hydrological processes and models. Numerous LSH datasets have recently been released, covering a wide range of regions and relying on increasingly diverse data sources to characterize catchment behaviour. These datasets offer novel opportunities, yet they are also limited by their lack of comparability, uncertainty estimates and characterization of human impacts. This article (i) underscores the key role of LSH datasets in hydrological studies, (ii) provides a review of currently available LSH datasets, (iii) highlights current limitations of LSH datasets and (iv) proposes guidelines and coordinated actions to overcome these limitations. These guidelines and actions aim to standardize and automatize the creation of LSH datasets worldwide, and to enhance the reproducibility and comparability of hydrological studies.     

Approaches to analyse and model changes in impacts: reply to discussions of “How to improve attribution of changes in drought and flood impacts”*

ABSTRACT

We thank the authors, Brunella Bonaccorso and Karsten Arnbjerg-Nielsen for their constructive contributions to the discussion about the attribution of changes in drought and flood impacts. We appreciate that they support our opinion, but in particular their additional new ideas on how to better understand changes in impacts. It is great that they challenge us to think a step further on how to foster the collection of long time series of data and how to use these to model and project changes. Here, we elaborate on the possibility to collect time series of data on hazard, exposure, vulnerability and impacts and how these could be used to improve e.g. socio-hydrological models for the development of future risk scenarios.     

自适应神经模糊推理系统(ANFIS)在水文模型综合中的应用

由于目前已有很多比较成熟的流域水文模型,因此我们可以选用几个流域水文模型进行并行运算,来同时模拟流域降雨—径流关系。在相同的降雨输入情况下,不同模型得到的模拟流量必然会有所不同,模型效率系数和模拟精度也会不同。因此,如何将不同模型的模拟结果进行综合以进一步提高流量模拟精度是一个关键问题。本文选用自适应神经模糊推理系统(ANFIS)作为水文模型综合平台,以牧马河流域为试验区域,对两个并行运算水文模型(三水源新安江模型和总径流响应模型)的结果进行综合处理,得到了更稳健的流量模拟结果,大大提高了模型效率和模拟精度。该方法值得在实践中借鉴。     

全球水循环研究进展

以国际组织围绕全球变化问题执行的一系列与水循环相关的研究计划为背景,总结了近40年来陆地-大气间水循环研究的重要成果,并探讨了在全球气候变化的背景下,水循环需要进一步研究的突出问题。     

一次过冷层状云催化云迹微物理特征的卫星遥感分析

利用卫星反演技术,通过卫星观测到的一次人工增雨催化作业后形成的云迹线个例,分析了云迹线与其周围云的光谱特征、亮温、亮温差、云顶粒子有效半径等云微物理特征,比较了它们之间的差异,揭示了这次过冷层状云催化的微物理效应。云迹实际上是持续时间超过80 min、宽和深分别约为14 km和1.5 km的云谷。云迹周围的云顶粒子有效半径为10—15μm,而云沟内的粒子在15—24μm变化。周围云体由过冷滴组成,中间可能夹杂了一些低浓度的冰粒子,云沟内云的主要成分是冰。和周围未被催化的云相比,0.6μm通道的光谱反射率,在云沟处有明显的增加,而3.7μm通道反射率在云沟内是降低的,尽管其绝对变化幅度不大,但其相对变化幅度较大。随着播云时间的增加,云沟深度、宽度逐渐增加,云沟内和周围云体的温差逐渐增加,对通道4和5而言,在最早催化部位,最大分别达到4.2℃和3.9℃,4和5通道之间云沟内的亮温差也是随冰晶化时间的增加而增加,最大为1.4℃,而云沟周围云为0.2—0.4℃。云沟的形成、云沟内云顶温度的增加和4,5通道之间亮温差的增加,都足以说明被播云体变薄,其原因是由于云顶降水使得云内的水流失,云顶下降。云顶冰晶化、冰粒子增长成降水造成云顶下沉,是云沟形成的主要原因。对于本次播云作业,晶化作用在播云22 min后逐渐显现。在播云后38—63 min,有新的水云在云沟的中间部位生成,可能是由于冻结潜热释放引起的上升运动所致。而新生水云在形成较早的云迹中没有出现,这些较早形成的云迹在80多分钟的整个观测期间持续扩散。最终,在周围云从外向云沟内的扩散过程中,云沟开始消散。