水力条件对复合人工湿地处理城市受污染河水效果的影响

通过对水力负荷、水力停留时间等水力条件的控制,观察其对复合垂直上行流人工湿地处理城市受污染河水效果的影响.一年多来的运行结果表明:水力条件对复合垂直上行流人工湿地去除其他污染物的影响显著,但对总氮去除的影响不大.水力停留时间的延长可提高总磷、氨氮、COD的去除效果;随着水力负荷的增加,总磷、氨氮、COD去除率都有所增加...     

福州市城区内河引闽冲污后水质变化趋势及防治对策

简述了福州市城区内河河网结构特点和河网水文特征,对1994年-2003年福州城区内河的水质变化趋势进行了分析和评价。结果表明,自1998年福州市全面开始内河引水冲污工程后,内河水质得到了改善,有机污染得到缓解,基本消除了水体的黑臭现象。指出了在内河整治中存在的一些问题。提出,应优化引水方案,最大限度发挥效益;明确河段的使用功能,发挥其潜能;开展生物防治,建立良性循环的水生生态系统,对内河实施综合管理。     

Probabilistic Flood Inundation Forecasting Using Rating Curve Libraries

One approach for performing uncertainty assessment in flood inundation modeling is to use an ensemble of models with different conceptualizations, parameters, and initial and boundary conditions that capture the factors contributing to uncertainty. However, the high computational expense of many hydraulic models renders their use impractical for ensemble forecasting. To address this challenge, we developed a rating curve library method for flood inundation forecasting. This method involves pre‐running a hydraulic model using multiple inflows and extracting rating curves, which prescribe a relation between streamflow and stage at various cross sections along a river reach. For a given streamflow, flood stage at each cross section is interpolated from the pre‐computed rating curve library to delineate flood inundation depths and extents at a lower computational cost. In this article, we describe the workflow for our rating curve library method and the Rating Curve based Automatic Flood Forecasting (RCAFF) software that automates this workflow. We also investigate the feasibility of using this method to transform ensemble streamflow forecasts into local, probabilistic flood inundation delineations for the Onion and Shoal Creeks in Austin, Texas. While our results show water surface elevations from RCAFF are comparable to those from the hydraulic models, the ensemble streamflow forecasts used as inputs to RCAFF are the largest source of uncertainty in predicting observed floods.     

River channel network design for drought and flood control: A case study of Xiaoqinghe River basin, Jinan City, China

Vulnerability of river channels to urbanization has been lessened by the extensive construction of artificial water control improvements. The challenge, however, is that traditional engineering practices on isolated parts of a river may disturb the hydrologic continuity and interrupt the natural state of ecosystems. Taking the Xiaoqinghe River basin as a whole, we developed a river channel network design to mitigate river risks while sustaining the river in a state as natural as possible. The river channel risk from drought during low-flow periods and flood during high-flow periods as well as the potential for water diversion were articulated in detail. On the basis of the above investigation, a network with “nodes” and “edges” could be designed to relieve drought hazard and flood risk respectively. Subsequently, the shortest path algorithm in the graph theory was applied to optimize the low-flow network by searching for the shortest path. The effectiveness assessment was then performed for the low-flow and high-flow networks, respectively. For the former, the network connectedness was evaluated by calculating the “gamma index of connectivity” and “alpha index of circuitry”; for the latter, the ratio of flood-control capacity to projected flood level was devised and calculated. Results show that the design boosted network connectivity and circuitry during the low-flow periods, indicating a more fluent flow pathway, and reduced the flood risk during the high-flow periods.     

Proposed methodology to delineate bodies of groundwater according to the European water framework directive. Application in a pilot Mediterranean river basin (Málaga,Spain)

The term “body of groundwater” represents a new administrative tool established by the water framework directive (WFD) in order to manage European groundwaters. Its practical application raises some difficulties due to unclear definitions and the large heterogeneity of European aquifers. In this work, a methodology is proposed to carry out the delineation of bodies of groundwater according to the requirements of the WFD. This methodology faces up to some of the major difficulties that can arise during the delineation, such as the identification of bodies of groundwater in multilayered aquifers, boundaries between superposed groundwater bodies, and delimitation in low permeability materials or in dismembered aquifers. In order to show its practical application, the proposed methodology is applied in a pilot Mediterranean river basin located in southern Spain. Results show that previous knowledge of the hydrogeological conditions is necessary to enable a correct delineation of groundwater bodies. Finally, alternative procedures are proposed for low permeability and small aquifers in order to reduce the number of groundwater bodies identified and simplify their overall management.     

Seasonal and spatial variability of Po,U and Pu levels in the river catchment area assessed by application of neural-network based classification

The present study deals with the application of self-organizing maps (SOM) in order to model, classify and interpret seasonal and spatial variability of ²¹⁰Po, ²³⁸U and ^239+240Pu levels in the Vistula river basin. The data set represents concentration values for 3 alpha emitters (²¹⁰Po, ²³⁸U and ^239+240Pu) measured in surface water samples collected at 19 different sampling locations (8 in major Vistula stream while 11 in right or left Vistula tributaries) during four seasons (winter, spring, summer and autumn) in the framework of a one-year quality monitoring study. The advantages of an SOM algorithm, its classification and visualization ability for environmental data sets, are stressed. The neural-network based classification made it possible to reveal specific patterns related to both seasonal and spatial variability. In the middle and upper part of Vistula catchment as well as in the right-shore tributaries, concentrations of ²¹⁰Po and ²³⁸U during summer and winter are the lowest. Concentrations of ²¹⁰Po and ²³⁸U increase significantly during spring and autumn in the Vistula river catchment, especially in the delta of Vistula river. High concentration of anthropogenic originated ^239+240Pu indicates “site-specific” character of pollution in two large left-shore tributaries located in the middle part of the Vistula drainage area. Efficient classification of sampling locations could lead to an optimization of river radiochemical sampling networks and to a better tracing of natural and anthropogenic changes along Vistula river stream.     

基于水质的水资源模型与水质经济学初探

在对传统的以水量为核心的水资源模型理论与实践矛盾的分析基础上,阐述了水资源社会及自然循环规律,提出城市-流域系统中水资源利用的水质自然与人工再生过程和自然、人工修复的双要素.提出水质再生和水量循环的水资源模型及其假设和约束条件,确定了模型适用的边际条件和范围,据此进一步辨析了城市污水回用与再生水的异同,将再生水置于流域尺度的城市群上下游用户层面,提出污水回用(包括中水利用)是降低需求,再生水是增加总量的基本结论.在以水质为核心的水资源模型基础上,对现有水资源经济学定义进行了修正和补充,提出了水质经济学的基础概念,并讨论了水质经济学指导下的供水服务和价格模型结构,重新定位了再生水的战略并提出以流域水体的净化成本和人工水质改善成本共同形成的全成本高低来表征流域水资源短缺程度的缺水等级划分新思路.     

河流筑坝拦截的水环境响应——来自地球化学的视角

大规模筑坝拦截是当前世界河流普遍面临的共同趋势,"蓄水河流"在物理、化学及生物等多层次上区别于天然河流和湖泊,改变了河流水文、河流物质转化和输送通量以及河流生态环境.因此,认识和了解水库建成后河流一水库体系水环境演化的关键过程是评价水坝的水环境影响的基础.广泛综述国内外最近的一些涉及水库效应的研究成果,并结合作者对乌江流域梯级水库的初步研究,从蓄水河流水文情势改变、生源要素(磷和硅为例)形态和通量变化、温室气体释放、水生生态系统演替几个方面进行分析.认为,水能开发的巨大经济效益和面临的潜在生态风险之间的平衡关系需要进一步详尽的分析研究.     

大坝拦截对河流水溶解组分化学组成的影响分析——以夏季乌江渡水库为例

以乌江渡水库为主要研究对象,揭示了大坝拦截条件下的夏季水化学特征：阴离子以HCO-3,SO2-4为主,阳离子以Ca2+,Mg2+为主,其余离子含量低于10%,说明了碳酸盐岩的风化对水体化学组成起到了主要控制作用,蒸发盐岩石的风化对水体化学组成影响较小。水库水体存在温度分层现象,形成了不同层位的水体有着不同的水化学组成,即水化学分层。水化学的分层形成了溶解组分在水库垂直深度上的规律分布,比如受藻类的影响,Si和叶绿素随深度成相反的变化特征;HCO-3受光合作用和有机质降解的影响,30 m 以上随着水深的增加而递增,30 m 以下呈现相反趋势;水库泄水方式明显改变了水化学各种参数和离子在水体中的分配。乌江水库两主要支流（息烽河和偏岩河）分别对乌江渡坝前水体中的Ca2+,SO2-4,HCO-3,Mg2+和K+,Na+,Cl-有贡献。网箱养鱼、生活污水、农业施肥、酸性矿山废水以及酸雨沉降都会对水体造成不同程度的污染。     

社会减灾能力信任及水灾风险感知的区域对比——基于江西九江和宜春公众的调查

研究公众对社会减灾能力及灾害风险的认识,有助于从公众视角揭示风险潜在因素,不仅是进行风险沟通的必备环节,还可以为开展有效的减灾宣传教育、提高公众减灾意识提供决策依据。通过社会调查（221份样本）和统计分析方法,比较了江西九江、宜春公众对于社会减灾能力的信任及水灾风险感知。结果表明,公众对于社会减灾能力基本持信任态度,信任度高低排序为：灾害监测预报>政府应急>防灾工程>预警传播,其中宜春公众的信任度较高;公众对于水灾的风险感知较弱,尤其是宜春公众认为水灾发生、受灾的可能性很小;公众的信任与对区域减灾能力的了解无关,主要是受到受灾经历（受灾次数、灾情损失、灾后救援）的影响,即区域本底灾害风险的高低导致公众认知的差异,风险较高区域（九江）的公众具有更为明确的降低风险的行为倾向及意愿。