A SIMPLIFIED WATER QUALITY MODEL FOR WETLANDS

The purpose of this study is to develop a simplified mathematical model to simulate suspended solids and total phosphorus concentrations in a wetland or detention pond. Field data collected from a wet detention pond during storms were used to demonstrate the application of this model. Favorable agreements between the model results and data were achieved. The ratio of average outlet method and summary of loads method were used to quantify the removal efficiency of pollutants, reflecting the efficiencies are very close. The results of this study can be used for nonpoint source pollution control, wastewater treatment or best management practices (BMPs) through the wetland.     

A two-phase grey fuzzy optimization approach for water quality management of a river system

An extension of the Grey Fuzzy Waste Load Allocation Model (GFWLAM) developed in an earlier work is presented here to address the problem of multiple solutions. Formulation of GFWLAM is based on the approach for solving fuzzy multiple objective optimization problems with max–min as the operator, which usually may not result in a unique solution. The multiple solutions of fuzzy multiobjective optimization model should be obtained as parametric equations or equations that represent a subspace. A two-phase optimization technique, two-phase GFWLAM, is developed to capture all alternative or multiple solutions of GFWLAM. The optimization model in Phase 1 is exactly same as the optimization model described in GFWLAM. The optimization model in Phase 2 maximizes the upper bounds of fractional removal levels of pollutants and minimizes the lower bounds of fractional removal levels of pollutants keeping the value of goal fulfillment level same as obtained from Phase 1. The widths of the interval-valued fractional removal levels play an important role in decision-making as these can be adjusted within their intervals by the decision-maker considering technical and economic feasibility in the final decision scheme. Two-phase GFWLAM widens the widths of interval-valued removal levels of pollutants, thus enhancing the flexibility in decision-making. The methodology is demonstrated with a case study of the Tunga-Bhadra river system in India.     

Simulated watershed scale impacts of corn stover removal for biofuel on hydrology and water quality

Ethanol from corn stover is expected to play an important role in achieving the Energy Independence and Security Act 2007 target of 136.25 billion liters (36 billion gallons) of biofuel by 2022. The 2010 USDA biofuel strategic report estimates that 16.3 billion liters (4.3 billion gallons) of biofuel from crop residues such as corn stover and straw is possible. Corn stover is expected to provide the majority of the estimated biofuel from crop residues, especially from the Midwestern US Corn Belt. A major concern related to removing corn stover is potential negative hydrologic and water quality impacts. The overall goal of this study was to estimate the watershed scale environmental impacts of corn stover removal in an agricultural watershed in the Midwest US. Soil and Water Assessment Tool was used to simulate the impacts associated with three corn stover removal rates (38%, 52% and 70%). The stream flow, nitrate and mineral phosphorus loading were reduced, and sediment and organic nitrogen loading were increased at the watershed outlet with all three stover removal scenarios. The stream flow was reduced by 1.4%, 2.0% and 2.7% from the baseline scenario (no stover removed) at 38%, 52% and 70% stover removal rates, respectively. The sediment loading increased by 19.7%, 22.5% and 29.0%, organic nitrogen increased by 0.8%, 2.0% and 5.5%, mineral phosphorus decreased by 11.7%, 15.5% and 21.0%, and nitrate decreased by 2.0%, 3.2% and 5.3% from the baseline scenario at the watershed outlet with 38%, 52% and 70% stover removal rates, respectively. The model results also indicate that the watershed response to stover removal is sensitive to watershed characteristics and management inputs, such as, slope and amount of fertilizer applied. Copyright © 2011 John Wiley & Sons, Ltd.     

基于WASP模型的太湖流域上游茅山地区典型乡村流域水质模拟

池塘、河渠、水库是乡村流域水环境的重要组成.基于WASP模型,综合运用现场调查、GIS空间分析、污染负荷估算等方法,构建茅山地区李塔陈庄乡村流域的水质模拟模型.结果表明,主要水质指标的污染程度从高至低依次为总氮(TN)、总磷(TP)和高锰酸盐指数、氨氮.TN全年在不同水体中达到劣Ⅴ类的比例在52%~100%,而池塘、河渠的污染程度较为接近.夏、冬季,超过TP劣Ⅴ类限值的河渠占2%~6%,池塘占8%~14%,而流域中部乡村周边的池塘明显更为严重.负荷输入是模型主要不确定性因素,细化种植模式能够提高总体模拟效果,而禽畜散养与农村生活造成的污染则分别对池塘、河渠的水质影响更为明显.本研究建立了乡村流域多种水体在面源污染影响下的水质联系,能够为乡村水环境治理提供决策参考.     

Probabilistic seismic hazard assessment for Romania and sensitivity analysis: A case of joint consideration of intermediate-depth (Vrancea) and shallow (crustal) seismicity

The earthquake risk on Romania is one of the highest in Europe, and seismic hazard for almost half of the territory of Romania is determined by the Vrancea seismic region, which is situated beneath the southern Carpathian Arc. The region is characterized by a high rate of occurrence of large earthquakes in a narrow focal volume at depth from 70 to 160 km. Besides the Vrancea area, several zones of shallow seismicity located within and outside the Romanian territory are considered as seismically dangerous. We present the results of probabilistic seismic hazard analysis, which implemented the “logic tree” approach, and which considered both the intermediate-depth and the shallow seismicity. Various available models of seismicity and ground-motion attenuation were used as the alternative variants. Seismic hazard in terms of macroseismic intensities, peak ground acceleration, and response spectra was evaluated for various return periods. Sensitivity study was performed to analyze the impact of variation of input parameters on the hazard results. The uncertainty on hazard estimates may be reduced by better understanding of parameters of the Vrancea source zone and the zones of crustal seismicity. Reduction of uncertainty associated with the ground-motion models is also very important issue for Romania.     

Bathing waters: New directive, new standards, new quality approach

Bathing water quality is an important public health issue, mainly because of fecal contamination. In 2006, the European Commission (EC) adopted a new directive with respect to recreational bathing waters that calls for stricter standards and reduces the number of laboratory tests done in routine beach monitoring from nineteen to two bacterial indicators, namely, Escherichia coli and intestinal enterococci, replacing policies of the EC Bathing Water Directive that have existed since 1976. Our practice in Portugal is in line with this international development, and this study demonstrates the equivalency of the new bacteriological parameters with the old. The water quality of 25 coastal beaches was surveyed using both new and old microbiological indicators of fecal contamination. Statistical analysis demonstrated equivalency of the results obtained for fecal coliforms with Escherichia coli and for fecal streptococci with intestinal enterococci.     

A new risk assessment method for water quality degradation in harbour domains, using hydrodynamic models

This contribution presents a method for assessing the risk of water degradation in harbour domains. The method describes a normalized Index of Risk, ranging from 0 to 1, which determines the risk of water degradation due to a pollution event. A branch-decision scheme of decision-making theories was implemented in order to obtain this index. This method evaluates the cost of each decision as a function of the vulnerability, proximity and toxicity of the potential contaminant. A novel feature of this method is that the risk is defined by considering the physical behaviour of the harbour (i.e. water circulation patterns). Regions where water residence time is high are considered more vulnerable to pollutant releases. This method could be implemented from an operational perspective, in which case an oceanographic operational system could be used to obtain current forecasts which in turn would be used to forecast risk maps.     

Grey fuzzy optimization model for water quality management of a river system

A grey fuzzy optimization model is developed for water quality management of river system to address uncertainty involved in fixing the membership functions for different goals of Pollution Control Agency (PCA) and dischargers. The present model, Grey Fuzzy Waste Load Allocation Model (GFWLAM), has the capability to incorporate the conflicting goals of PCA and dischargers in a deterministic framework. The imprecision associated with specifying the water quality criteria and fractional removal levels are modeled in a fuzzy mathematical framework. To address the imprecision in fixing the lower and upper bounds of membership functions, the membership functions themselves are treated as fuzzy in the model and the membership parameters are expressed as interval grey numbers, a closed and bounded interval with known lower and upper bounds but unknown distribution information. The model provides flexibility for PCA and dischargers to specify their aspirations independently, as the membership parameters for different membership functions, specified for different imprecise goals are interval grey numbers in place of a deterministic real number. In the final solution optimal fractional removal levels of the pollutants are obtained in the form of interval grey numbers. This enhances the flexibility and applicability in decision-making, as the decision-maker gets a range of optimal solutions for fixing the final decision scheme considering technical and economic feasibility of the pollutant treatment levels. Application of the GFWLAM is illustrated with case study of the Tunga–Bhadra river system in India.     

A spatially distributed model for assessment of the effects of changing land use and climate on urban stream quality

While the effects of land use change in urban areas have been widely examined, the combined effects of climate and land use change on the quality of urban and urbanizing streams have received much less attention. We describe a modelling framework that is applicable to the evaluation of potential changes in urban water quality and associated hydrologic changes in response to ongoing climate and landscape alteration. The grid‐based spatially distributed model, Distributed Hydrology Soil Vegetation Model‐Water Quality (DHSVM‐WQ), is an outgrowth of DHSVM that incorporates modules for assessing hydrology and water quality in urbanized watersheds at a high‐spatial and high‐temporal resolution. DHSVM‐WQ simulates surface run‐off quality and in‐stream processes that control the transport of non‐point source pollutants into urban streams. We configure DHSVM‐WQ for three partially urbanized catchments in the Puget Sound region to evaluate the water quality responses to current conditions and projected changes in climate and/or land use over the next century. Here, we focus on total suspended solids (TSS) and total phosphorus (TP) from non‐point sources (run‐off), as well as stream temperature. The projection of future land use is characterized by a combination of densification in existing urban or partially urban areas and expansion of the urban footprint. The climate change scenarios consist of individual and concurrent changes in temperature and precipitation. Future precipitation is projected to increase in winter and decrease in summer, while future temperature is projected to increase throughout the year. Our results show that urbanization has a much greater effect than climate change on both the magnitude and seasonal variability of streamflow, TSS and TP loads largely because of substantially increased streamflow and particularly winter flow peaks. Water temperature is more sensitive to climate warming scenarios than to urbanization and precipitation changes. Future urbanization and climate change together are predicted to significantly increase annual mean streamflow (up to 55%), water temperature (up to 1.9 °C), TSS load (up to 182%) and TP load (up to 74%). Copyright © 2016 John Wiley & Sons, Ltd.     

基于湖库水质目标的流域氮、磷减排与分区管理——以天目湖沙河水库为例

湖库水环境保护在保障生产与生活用水、维系生态平衡、发展旅游等方面发挥着重要的作用.水质目标管理是保护湖库水质的最佳管理办法.本文以天目湖地区沙河水库及其流域为研究区域,建立模型模拟沙河水库流域的水文与水质,评估入库污染通量和主要来源;依据水质目标测算氮、磷污染的容量和减排量,结合土地的生态保护与开发适宜性评估,提出氮、磷污染分区减排和土地管控的对策和措施.研究结果表明,沙河水库氮、磷污染物入库通量分别为206.01和3.29 t/a,面源总氮和总磷分别占总入库量的85.7%和67.5%.不同土地利用类型氮、磷输出强度有显著差异,总氮输出强度依次为茶园 >耕地 >建筑用地 >裸地 >草地 >退耕地 >林地 >河湖漫滩,总磷输出强度与地表覆盖度有关,依次为裸地 >建筑用地 >茶园 >耕地 >草地 >退耕地 >林地和河湖漫滩.从氮、磷输移过程来看,沙河水库流域总氮排放量为321.64 t/a,进入河流的为255.53 t/a,在河道输送过程中损失19.4%,最终有206.01 t/a进入水库;沙河水库流域总磷排放量为13.42 t/a,进入河流的为7.90 t/a,在河道输送过程中损失58.3%,最终有3.29 t/a进入水库.不同分区河流氮、磷滞留降解率有很大的差异,中田河总氮、总磷滞留降解能力最强,分别为34.71%和84.31%.2009年的通量计算结果显示,沙河水库总氮达到Ⅳ类水质目标需要的入湖减少量为32.01 t/a,入湖削减比例为15.50%,总氮达到Ⅲ类水质目标需要的入湖减少量为59.66 t/a,入湖削减比例为29.00%;总磷达到Ⅲ类水需要的入湖减少量为0.682 t/a,入湖削减比例为20.70%,总磷达到Ⅱ类水需要的入湖减少量为1.479 t/a,入湖削减比例为44.90%.为了实现基于土地利用的面源污染减排管控,选定植被覆盖度、水源涵养能力、地形坡度、土地利用、氮磷分区贡献量、与道路和村落距离等指标综合评估生态保护价值和开发适宜性,并划定禁止开发区、限制开发区和保护性开发区3个管理分区,最终确定各分区的开发强度限制和管控方式.     

Distinguishing active and legacy source contributions to stream water quality: Comparative quantification for chloride and metals

Hydrochemical constituents in streams may originate from currently active sources at the surface and/or legacy sources from earlier surface inputs, waste deposits and land contamination. Distinction and quantification of these source contributions are needed for improved interpretation of tracer data and effective reduction of waterborne environmental pollutants. This article develops a methodology that recognizes and quantifies some general mechanistic differences in stream concentration and load behavior versus discharge between such source contributions. The methodology is applied to comparative analysis of stream concentration data for chloride (Cl⁻), copper (Cu), lead (Pb), and zinc (Zn), and corresponding data for water discharge, measured over the period 1990–2018 in multiple hydrological catchments (19 for Cl⁻, 11 for Cu and Zn, 10 for Pb) around the major Lake Mälaren in Sweden. For Cl⁻, the average load fraction of active sources is quantified to be 19%, and the average active and legacy concentration contributions as 2.9 and 11 mg/L, respectively. For the metals, the average active load fractions at outlets are 1%–3% over all catchments and 9%–14% in the relatively few catchments with mixed metal sources. Average active and legacy concentration contributions are 0.14 and 3.2 μg/L for Cu, 0.05 and 1.5 μg/L for Pb, and 1.4 and 12 μg/L for Zn, respectively. This multi-catchment analysis thus indicates a widespread prevalence of legacy sources, with greater legacy than active concentration contributions for both Cl⁻ and the metals, and active contributions playing a greater role for chloride than for the metals. The relatively simple first-order methodology developed and applied in the study can be used to screen commonly available stream monitoring data for possible distinction of active and legacy contributions of any hydrochemical constituent in and across various hydrological catchment settings.     

基于水生态改善的太湖分区分时动态水质目标制定方法

科学、合理地制定水体主要污染物浓度控制目标,即水质目标是实施河、湖"水质目标管理"的基础和前提.本文基于环境条件决定生态系统结构以及自组织适应生态学原理,提出一种可促进水生态改善的太湖分区分时动态水质目标制定方法.该方法在出入湖河道流量情景及分区污染物浓度情景设计的基础上,进行不同情境下水生态系统要素时空演化的数值试验;然后以藻类生物量减小、沉水植物生物量增加为判据,构造水质目标优化模型;最后将湖泊水生态模型与水质目标优化模型耦合,判断各污染物浓度情景下水生态系统健康状况,进而确定不同时间尺度下太湖各分区总氮、总磷、氨氮、高锰酸盐指数等主要污染物指标的动态控制目标.结果表明：本方法制定的太湖各湖区分时水质目标相比传统的"静态"目标更能促进太湖水生态系统健康发展,并为太湖水环境的精细化管理提供了可能.     

北方半干旱区土地利用/覆被变化对湖泊水质的影响:以岱海流域为例(2000-2018年)

土地利用/覆被变化对明晰气候变化和人类活动对湖泊水环境的影响有重要作用.以北方典型农牧交错的岱海流域为研究对象,基于遥感解译技术、马尔可夫转移矩阵、综合污染指数法等方法,对2000-2018年岱海流域土地利用/覆被和湖泊水质的变化进行分析,并结合冗余分析法和计量分析模型探究长时间序列尺度下土地利用/覆被变化对湖泊水质的...