Spatial distribution of pollution in an urban stormwater infiltration basin

Infiltration basins are frequently used for stormwater drainage. Because stormwater is polluted in highly toxic compounds, assessment of pollution retention by infiltration basins is necessary. Indeed, if basins are not effective in trapping pollution, deep soil and groundwater may be contaminated. This study's objective is to investigate soil pollution in infiltration basins: spatial distribution of soil pollution, optimisation of the number of soil samples and a contamination indicator are presented. It is part of a global project on long-term impact of stormwater infiltration on groundwater. Soil sampling was done on a basin in suburban Lyon (France). Samples were collected at different depths and analysed for nutrients, heavy metals, hydrocarbons and grain size. Pollutant concentrations decrease rapidly with depth while pH, mineralisation and grain size increase. Sustainable metal concentrations are reached at a 30-cm depth, even after 14 years of operation; hydrocarbon pollution is deeper. Principal component analysis shows how pollutants affect each level. The topsoil is different from other levels. Three specifically located points are enough to estimate the mass of pollution trapped by the basin with a 26% error. The proposed contamination indicator is calculated using either average level concentrations or maximum level concentrations. In both cases, the topsoil layer appears polluted but evaluation of lower levels is dependent on the choice of input concentrations.     

居住小区道路雨水径流消减潜力分析

居住小区建设的不断发展在缓解城市居住问题的同时,也给城市环境带来了一系列的负面效应,而减轻这些负效应的关键就在于尽可能的减少小区的不透水地表面积以使地表径流量得到消减。道路作为居住区地表的重要组成部分,在解决上述问题中应当重点考虑。本文以南京市桌新建居住区为例,从减少道路面积和改变地面铺装方式两个角度来寻找减少小区内部不透水铺装面积的方法,并估算了由此所能消减的地表径流量。根据实例分析可知,通过这两种方法可以切实有效的减少小区不透水面积进而减少雨水的径流量。     

降雨-径流与非点源污染物浓度及流失量关系分析——以铁岭市柴河水库上游流域为例

以铁岭市柴河水库上游集水区域为研究对象,利用铁岭市柴河堡水文站降雨时节实测的暴雨径流数据、泥沙数据、污染物浓度数据进行分析,侧重研究降雨时节暴雨径流量与主要污染物浓度及污染物瞬时流失量之间的关系,以期为柴河流域农业非点源污染控制提供参考。研究结果表明:暴雨期内,非点源污染物浓度及瞬时流失量与径流峰值几乎同步出现,它们之间存在着非常密切的关系。     

BP神经网络在流溪河水库径流量预测中的应用

流溪河水库是广州市的主要饮用水源地,所属地区降雨量年际变化大,不利于水资源的优化配置。对流溪河水库径流量进行预测研究,可为其水资源的优化配置提供科学依据。目前人工神经网络(ANN)技术在水文序列模拟预测中有较多的应用,本文根据流溪河水库1959~2000年水文数据,利用BP神经网络对径流量进行预测,从模型检验结果看,所建模型有较好的拟合效果和预测精度,说明神经网络在预测径流量方面有良好的实用性。     

湖泊暴雨径流水质模拟研究

根据暴雨径流污染物浓度变化特点，采用最小二乘法对暴雨期间污染源各监测数据进行回归分析处理，对湖底糙率采用自动调整处理，建立了湖泊暴雨径流水质模型．对滇池湖泊某次暴雨过程的总磷和总氮进行了模拟研究，计算结果表明，该模型应用于滇池湖泊是成功的．     

南京东郊石炭纪威宁期的风暴沉积

南京东郊石炭纪威宁期碳酸盐岩地层中普遍见有风暴沉积,以有突变的底界和底面构造、贝壳层、粒序层以及在风暴低能快速堆积条件下所形成的遮蔽构造等为基本鉴别要素,这些要素的不同组合构成的剖面结构可划分为五种类型,据此笔者提出本区风暴沉积的综合剖面结构。     

镇江市城区降雨径流水质分析

雨水径流污染是城市面源污染的主要形式,通过对镇江市城区2011年10场降雨径流水质监测,分析了镇江市城区降雨径流水质。结果表明,镇江市城区降雨径流存在一定污染,直接排入城市地表水体会对其造成污染。其主要污染指标为COD、BOD5、NH3-N、TP和总悬浮颗粒物,重金属含量较低,基本不存在重金属污染。各种不同类型雨水径流水质污染程度差异较大,天然降雨、屋面径流,大市口路面径流水质相对较好,基本能达到Ⅲ或Ⅳ类水体的水质标准;泵站、排口径流、河道径流污染较重,大多属于超Ⅴ类水体;南门大街路面径流污染最为严重,部分水质指标接近工业废水。     

Assessing the impact of pesticides on the environment

Pesticide use in agriculture can cause undesirable effects on humans and the natural environment. One of the objectives of integrated agriculture is the elimination or reduction of possible sources of environmental pollution such as pesticides. To achieve this objective, farmers need a method to assist them in estimating the environmental impact of pesticide use. This paper addresses a two-part question: what factors should be taken into consideration to assess pesticide environmental impact, and how can impact be quantified? As the environmental impact of a pesticide depends on its dispersion in the environment and on its toxicological properties, the literature on these topics is reviewed to address the first part of the question. To address the second part of the question, six recent approaches to assess the impact of pesticides on the environment are compared regarding choice, transformation and aggregation of input parameters. The use of simulation models to assess environmental impact is discussed.     

A MATHEMATICAL MODEL FOR OPTIMUM DESIGN AND CONTROL OF METROPOLITAN WASTEWATER MANAGEMENT SYSTEMS1

ABSTRACT: A comprehensive mathematical model (Urban Wastewater Management Model) has been developed to continuously simulate time-varying wastewater flows and qualities in complex metropolitan combined sewerage systems. The model serves three functions: (1) assessment of existing or planned system performance in relation to other wastewater discharges in either a metropolitan or river basin area; (2) determination of the optium operation or automatic control of existing or planned systems during rainstorms; and (3) determination of the most economically feasible combination of design alternatives for improving or expanding existing systems to meet specified performance criteria. The model provides an efficient engineering tool for evaluating and controlling pollutant discharges from combined sewerage systems (including treatment plants) to receiving waters, while considering the time and spacial variations of rainfall and dry-weather flows and qualities as well as economic constraints.     

Sample intake position and loading rates from nonpoint source pollution

Paired water samples were simultaneously activated from two different vertical positions within the approach section of a flow-control structure to determine the effect of sample intake position on nonpoint runoff parameter concentrations and subsequent event loads. Suspended solids (SS), total phosphorus (TP) and organic plus exchangeable nitrogen [(Or+Ex)-N] were consistently higher throughout each runoff event when sampled from the floor of the approach section as opposed to those samples taken at midstage. Dissolved molybdate reactive phosphorus (DMRP) and ammonium (NH₄-N) concentrations did not appear to be significantly affected by the vertical difference in intake position. However, the nitrate plus nitrite nitrogen [(NO₃+NO₂)-N] concentrations were much higher when sampled from the midstage position.Although the concentration differences between the two methods were not appreciable, when evaluated in terms of event loads, discrepancies were evident for all parameters. Midstage sampling produced event loads for SS, TP, (Or + Ex)–N, DMRP, NH₄-N, and (NO₃+NO₂)-N that were 44,39,35,80,71, and 181%, respectively, of floor sampling loads. Differences in loads between the two methods are attributed to the midstage position, sampling less of the bed load. The correct position will depend on the objective; however, such differences should be recognized during the design phase of the monitoring program.This work was supported by the Soil Science Department, College of Agriculture and Life Sciences, University of Wisconsin-Madison, and by the U.S. Environmental Protection Agency, Region V., Chicago, Illinois (Grant No. G005139-01).