An application of contingent valuation and decision tree analysis to water quality improvements

This paper applies contingent valuation and decision tree analysis to investigate public preferences for water quality improvements, and in particular reduced eutrophication. Such preferences are important given that the development of EU water quality legislation is imposing significant costs on European economies. Results are reported of a survey undertaken of residents of Århus County, Denmark for water quality improvements in the Randers Fjord. Results demonstrate strong public support for reduced eutrophication and identify key determinants of such support.     

An initial economic evaluation of water quality improvements in the Randers Fjord, Denmark

Eutrophication of estuarine and coastal waters has only been recognised as a potential problem since the early 1980s. This problem is being addressed by the European Union through the implementation of recent water quality legislation, which also calls for an economic analysis relating to its implementation. This paper examines the benefits and costs of reduced eutrophication of the Randers Fjord in Denmark, with a primary focus on assessing individual preferences for water quality improvements, using a contingent valuation survey approach. Initial findings of the survey are presented that offer support for funding an action plan to improve the ecological status of the Randers Fjord, as required by the Water Framework Directive. The paper highlights the considerable costs required to abate nutrient emissions into the Fjord, but identifies a need for greater cost evidence at the catchment level.     

Deriving reservoir operational strategies considering water quantity and quality objectives by stochastic fuzzy neural networks

By taking advantage of the close relationship between quality and quantity of water, we investigated the potential improvements of the in-reservoir water quality through the optimization of reservoir operational strategies. However, the few available techniques for optimization of reservoir operational strategies present some limitations, such as restrictions on the number of state/decision variables, the impossibility considering stochastic characteristics and difficulties for considering simulation/prediction models. One technique which presents great potential for overcoming some of these limitations is applied here and investigated for the first time in such complex system. The method, named stochastic fuzzy neural network (SFNN), can be defined as a fuzzy neural network (FNN) model stochastically trained by a genetic algorithm (GA) based model to yield a quasi optimal solution. The term “stochastically trained” refers to the introduction of a new loop within the training process which accounts for the stochastic variable of the system and its probabilities of occurrence. The SFNN was successfully applied to the optimization of the monthly operational strategies considering maximum water utilization and improvements on water quality simultaneous. Results showed the potential improvements on the water quality through means of hydraulic control.     

Reduction of Nitrate Loadings to Ground Water

Non-point source pollution of ground water systems has become a national concern in recent years. Researchers and regulatory agencies are investigating the source and processes of the contamination. Agricultural best management practices (BMPs) traditionally developed to reduce non-point source pollution of surface water resources are being investigated for their impact on ground water quality. This study used the CREAMS model to simulate the long-term effects of seven different BMPs on nitrate nitrogen (NO₃-N) loadings to a shallow, unconfined ground water system. Two representative watersheds, 5.8 and 8.9 hectares (14.3 and 22 acres) in area, in the Coastal Plain physiographic region of Maryland were selected for study. Soils in these watersheds belong to the Matapeake silt loam series and have moderate infiltration capacity. Results from this study indicated that BMPs used in conjunction with winter cover (barley) reduced NO₃-N leaching to the ground water system. It was also found that turfgrass reduced surface losses of water and nitrogen, but increased leaching losses of water and NO₃-N significantly. All of the BMPs simulated in this study resulted in leachate NO₃-N concentrations exceeding 10 ppm, the U.S. EPA health standard for public drinking water, indicating a need for alternate practices for reducing nitrate leaching.     

Sub-Saharan African Ground Water Protection—Building on International Experience

Sub-Saharan Africa faces significant challenges in dealing with ground water pollution. These countries can look to successes and missteps on other continents to help choose their own individual paths to ensuring reliable and clean supplies of ground water. In the large view, sub-Saharan Africa can define specific levels of acceptable risk in water quality that drive cleanup efforts and are amenable to acceptance across national and geographic boundaries. Ground water quality databases must be expanded, and data must be available in an electronic form that is flexible, expandable, and uniform, and that can be used over wide geographic areas. Guidance from other continents is available on well construction, sampling and monitoring, interim remediation, technical impracticability, monitored natural attenuation, and many specific issues such as how to deal with small waste generators and septic contamination of water supply wells. It is important to establish a common African view on the appropriateness of other nations’ ground water quality guidance for African issues, economic conditions, and community circumstances. Establishing numerical, concentration-based, water quality action levels for pollutants in ground water, which many neighboring African nations could hold comparable, would set the stage for risk-based remediation of contaminated sites. Efforts to gain public, grass-roots understanding and support for stable and balanced enforcement of standards are also key. Finally, effective capacity building in the region could be an eventual solution to ground water quality problems; with increased numbers of trained environmental professionals, ground water throughout the region can be protected and contaminated sites cleaned up.     

Development of stochastic dynamic Nash game model for reservoir operation. I. The symmetric stochastic model with perfect information

Increasing water demands, higher standards of living, depletion of resources of acceptable quality and excessive water pollution due to agricultural and industrial expansions have caused intense social and political predicaments, and conflicting issues among water consumers. The available techniques commonly used in reservoir optimization/operation do not consider interaction, behavior and preferences of water users, reservoir operator and their associated modeling procedures, within the stochastic modeling framework. In this paper, game theory is used to present the associated conflicts among different consumers due to limited water. Considering the game theory fundamentals, the Stochastic Dynamic Nash Game with perfect information (PSDNG) model is developed, which assumes that the decision maker has sufficient (perfect) information regarding the associated randomness of reservoir operation parameters. The simulated annealing approach (SA) is applied as a part of the proposed stochastic framework, which makes the PSDNG solution conceivable. As a case study, the proposed model is applied to the Zayandeh-Rud river basin in Iran with conflicting demands. The results are compared with alternative reservoir operation models, i.e., Bayesian stochastic dynamic programming (BSDP), sequential genetic algorithm (SGA) and classical dynamic programming regression (DPR). Results show that the proposed model has the ability to generate reservoir operating policies, considering interactions of water users, reservoir operator and their preferences.     

Phosphorus loading, transport and concentrations in a lake chain: a probabilistic model to compare management options

Phosphorus (P) loading, exports and concentrations of the four lakes of the Yahara chain (Wisconsin, USA) were compared under four load-reduction plans using a model calibrated with 29–33 years of annual data. P mitigation goals must balance reductions in P concentrations in the four lakes and the export from the lake chain to downstream waters. Lake Mendota, the uppermost lake, is most responsive to P load reductions, and benefits diminish downstream. Nonetheless, the greatest reductions in export from the lake chain to downstream waters derive from P load reductions to lakes lower in the chain. The effective grazer Daphnia pulicaria causes large improvements in water quality. Management to maintain populations of D. pulicaria has substantial benefits that augment those from reductions in P loading. Model projections show high variability in water quality and exports under all load-reduction plans. This variability is driven by inter-annual variation in runoff. Thus lake managers and the public should expect ongoing year-to-year variability in water quality, even though P load mitigation will improve water quality on average. Because of high variability from year to year, ongoing monitoring is essential to assess the effects of management of this chain of lakes.     

Mechanism for open management of harmonizing water use strategies under stochastic conditions

The study is focused on the harmonization of water use and removal strategies employed by a management body of a water resource system (center) and water users, i.e., active elements, which can intentionally distort information about their potentialities and preferences. The harmonization mechanism is based on the open-management (fair-play) principle. The instruments of harmonization are prices for water use and removal. When the volumes of allocated water resources and the masses of removed chemicals are determined independently, the harmonization is perfect, while when the joint management of the amount and quality of water resources is used, the harmonization is approximate.     

Discrimination of water quality monitoring sites in River Vouga using a mixed-effect state space model

The surface water quality monitoring is an important concern of public organizations due to its relevance to the public health. Statistical methods are taken as consistent and essential tools in the monitoring procedures in order to prevent and identify environmental problems. This work presents the study case of the hydrological basin of the river Vouga, in Portugal. The main goal is discriminate the water monitoring sites using the monthly dissolved oxygen concentration dataset between January 2002 and May 2013. This is achieved through the extraction of trend and seasonal components in a linear mixed-effect state space model. The parameters estimation is performed with both maximum likelihood method and distribution-free estimators in a two-step procedure. The application of the Kalman smoother algorithm allows to obtain predictions of the structural components as trend and seasonality. The water monitoring sites are discriminated through the structural components by a hierarchical agglomerative clustering procedure. This procedure identified different homogenous groups relatively to the trend and seasonality components and some characteristics of the hydrological basin are presented in order to support the results.     

太湖流域水环境变化及缘由分析

太湖水环境质量在最近的十年中下降1－2个等级,1990年86．5％的水体为Ⅱ、Ⅲ类,到2000年太湖水体87％Ⅳ类;1990年太湖水体为中－富营养化,2000年太湖水体以富营养化为主,本文通过分析经济社会发展和水环境变化,认为太湖流域工业化与城市化及居民生活水平的提高,吧及不合理的农业生产方式,使水环境面临巨大的压力,环保意识落后、治理能力不足、管理体制不合理是太湖目前水环境恶化的根本原因。     

Hydraulic modelling of fish habitat in urban rivers during high flows

In urban rivers, flow regime and channel morphology are the drivers of physical habitat quality for aquatic species. Peak discharges are increased at high flows as a result of impermeable catchments and channel engineering for flood protection schemes. Hazardous conditions and flashy hydrographs mean that measurement of velocities at high flows is a difficult task. This research uses a three‐dimensional computational fluid dynamics (3D‐CFD) model to simulate hydraulic patterns in two urban river channels. A 3D‐CFD code, called SSIIM, was used to simulate hydraulic conditions in two engineered river reaches of the River Tame, Birmingham, UK. These two sites represent channels with different levels of engineering. Models were calibrated and tested using field measurements. Results show that modelled water surface levels and velocity profiles are well simulated. Calibrated roughness heights are compared with those derived from field measurement of sediment size. Numerical experiments are used to assess the relationship between grid resolution in the vertical dimension and the form of the modelled velocity profiles. Biologists have used laboratory experiments to determine maximum sustainable swimming speeds (MSSS) of fish, often in order to assess what level of a particular pollutant may be tolerable. In this work, simulations of high‐flow hydraulic patterns are used to compare velocity patterns with fish MSSS. Results show that when the water levels rise to fill the first channel of the two‐stage channels at the sites, which occurred 16 times in 2000, MSSS are surpassed in the majority of available habitat, suggesting that excessive velocities at high flows are one factor that limits fish habitat. A comparison between the two reaches shows that there is less available habitat in the more modified reach. Conclusions suggest that an approach that integrates water quality issues and physical channel characteristics must be taken in river rehabilitation schemes, as improvements to water quality alone may not be sufficient to improve habitat quality to the desired level. Copyright © 2002 John Wiley & Sons, Ltd.     

Valuation of in-stream water quality improvement via fuzzy contingent valuation method

Society benefits from rivers in many aspects. To the extent of water resources management, one of the salient issues is that the social benefit of in-stream water quality improvements is often difficult to be quantified for possible cost justification in many water pollution control programs. The difficulties arise from that many service flows of water quality are not channelled through the market system to consumers and producers. With different socio-economic structures, such valuation could be even more challenging when taking river basins with low-income level into account. Recent advances in fuzzy set theory provide a germain insight to viewing the in-stream water quality as a kind of fuzzy resource due to varying awareness of the quality of life. This paper provides a technical analysis using the fuzzy contingent valuation mothod (FCVM) to value in-stream water quality improvements in terms of three fuzzy resources from aesthetic to recreational, and to ecological aspects. Traditional CVM may allow interest groups or affected parties to join and present a more flexible asset assessment with respect to the prescribed environmental features in the river corridor. Yet the FCVM provides a mechanism that lies in providing a mapping (via fuzzy set theory) from a survey of respondents valuation of subjective assessments of water quality into objective economic measures in terms of water quality parameters that management can more directly manipulate. With this new tool, the traditional CVM assessment outputs in a well-developed river basin may even lead to derive a simular valuaton function in a form of a regression equation in a developing river basin where the incme level is relatively low. As part of the sustainablity analysis basin wide, a case study in Taiwan showed that such effort may provide supportive information for cost benefit analysis in many water pollution control programs corresponding to different temporal and spatial scales.     

我国流域水生态监测与评价体系研究进展及发展对策

水生态监测与评价是水生态系统管理、保护和可持续利用的基础。20世纪80年代开始,欧美发达国家水环境管理政策开始强调生态保护,重视流域水生态质量,先后开展了以水生生物为核心的河流水生态监测与评价研究计划。然而我国目前流域水环境监测与评价的指标主要以传统的理化监测指标为主,缺乏指示水生态变化的水生生物指标,单一的水质改善无法反映水生态环境好转这一长远目标,不能满足“十四五”水生态环境管理由以水污染防治为主向水环境、水生态、水资源“三水”统筹转变的总体要求。本研究系统分析发达国家和地区(如美国、欧盟、澳大利亚等)水生态监测与评价技术体系与业务化运行方面的先进经验,总结梳理我国水生态监测与评价试点已有的工作基础,分析制约我国当前流域水生态监测与评价的关键问题,从保护目标、管理模式、监测网络、科学研究和公众参与五个方面,提出开展我国流域水生态监测与评价体系构建和业务化运行的有关建议,为准确评估和预测流域水生态质量状况的变化、开展保护修复成效评估提供决策支持和重要参考。     

A Paddock to reef monitoring and modelling framework for the Great Barrier Reef: Paddock and catchment component

Targets for improvements in water quality entering the Great Barrier Reef (GBR) have been set through the Reef Water Quality Protection Plan (Reef Plan). To measure and report on progress towards the targets set a program has been established that combines monitoring and modelling at paddock through to catchment and reef scales; the Paddock to Reef Integrated Monitoring, Modelling and Reporting Program (Paddock to Reef Program). This program aims to provide evidence of links between land management activities, water quality and reef health. Five lines of evidence are used: the effectiveness of management practices to improve water quality; the prevalence of management practice adoption and change in catchment indicators; long-term monitoring of catchment water quality; paddock & catchment modelling to provide a relative assessment of progress towards meeting targets; and finally marine monitoring of GBR water quality and reef ecosystem health. This paper outlines the first four lines of evidence.     

Ecology of water mite assemblages in Panama – First data on water mites (Acari,Hydrachnidia) as bioindicators in the assessment of biological integrity of neotropical streams

The ecological integrity of freshwater ecosystems is regularly examined through assessment of their macroinvertebrate assemblages. The various methods used in such biomonitoring all have one characteristic in common – the neglect of water mites. Even though this group perfectly fulfills all necessary requisites for successful bioindicators, these invertebrates are either completely ignored or lumped together as “Acari”.This study, for the first time, uses water mites (Hydrachnidia) as bioindicators in the Neotropics to compare the anthropogenic stress in 15 streams at three different levels of contamination (pristine, rural, urban). In total, 4371 water mite specimens, belonging to 31 genera and 14 families, were collected.Diversity, abundance, and richness of water mite assemblages were significantly reduced with increasing levels of contamination. These differences were clearest in the dry season. Atractidella turned out to be, by far, the most tolerant water mite genus, having the greatest abundance at the most contaminated sites. In contrast, Pseudotorrenticola was found only in pristine waters, while Hydrodroma, Limnesia, Koenikea, Torrenticola, Monatractides and the family Aturidae showed clear preferences for pristine waters.Our data show, that water mites, identified to genus level, are well suited for water quality assessment in neotropical lowland streams, clearly distinguishing different levels of contamination/anthropogenic stress.     

Water physicochemistry and benthic macroinvertebrate communities in a tropical reservoir: The role of water level fluctuations and water depth

Water level fluctuations due to reservoir operations often cause spatial and temporal differences in water chemistry, which in turn can have considerable biological effects. Nonetheless, few studies have investigated the effects of fluctuating water levels on water quality and benthic macroinvertebrates in reservoirs in tropical countries, and none in the Philippine archipelago. We investigated the littoral zone of a Philippine reservoir subject to strong water level fluctuations and determined whether (i) water quality and macroinvertebrate community health is reduced when water levels are low, (ii) water quality declines with increasing water depth regardless of the overall water level, and (iii) water quality and community health decrease more strongly with water depth during low water level periods. Our study included five sites and four depths at each site, with three collections each during high and low water levels. Low water levels may have negatively affected four water quality and 10 biological metrics, whereas depth may have negatively affected two water quality and five biological metrics. Significant overall water levels by depth interactions were detected for four common taxa but none for water physicochemistry. Our findings show that tropical reservoirs may experience reduced water quality at low water levels, which can affect their biodiversity and potentially their ecological functioning.     

The sustainability of drinking water supply in rural China: Does the provision of drinking water investment mismatch the demand of residents?

It is doubted that the top down nature of investment planning may lead to mismatches between drinking water investment and the demands of local residents in rural China. Statistical and econometric analysis based on data of 2020 rural households from five Chinese provinces from 1998 to 2011 are used to illustrate the linkage between demand for drinking water investment and construction of drinking water projects. Household's demand significantly affects drinking water projects implemented by upper level governments and implemented jointly, but is not significant in explaining the projects implemented by village. There is evidence to suggest that the demands of local leaders override those of households in the implementation of drinking water projects provided by village in the early stage of 2005–2008. The situation improves in the latter stage of 2008–2011when the village level participatory bodies begin to provide opportunities for households to voice their preferences on public goods investment. The results of this study imply that it is important to explore appropriate regulations and policies that enabling local cadres to better meet local demands of their communities to ensure the sustainability of rural drinking water supply.     

不同典型年“引江济巢”工程对巢湖水质的影响

“引江济巢”作为引江济淮的起始段工程,承担着改善巢湖水质的重要任务,调水路线的选取对水质改善效果有关键影响.本文基于MIKE21模型构建了巢湖水动力水质模型,分别模拟了丰水年、平水年和枯水年情景下巢湖流场和总氮、总磷浓度时空分布特征,以及不同调水路线在各典型年对巢湖水质的影响.结果显示巢湖流场和水质分布有明显的空间差异性,受入湖负荷和流量影响,巢湖在丰水年水质较差,整体来说东湖区水质优于西湖区.相比其他年份,丰水年调水对湖区水质的改善作用最明显;不同调水路线中,自白石天河入流相较兆河入流对巢湖,尤其是西湖区水质改善明显.     

Multiobjective analysis of a public wellfield using artificial neural networks

As competition for increasingly scarce ground water resources grows, many decision makers may come to rely upon rigorous multiobjective techniques to help identify appropriate and defensible policies, particularly when disparate stakeholder groups are involved. In this study, decision analysis was conducted on a public water supply wellfield to balance water supply needs with well vulnerability to contamination from a nearby ground water contaminant plume. With few alternative water sources, decision makers must balance the conflicting objectives of maximizing water supply volume from noncontaminated wells while minimizing their vulnerability to contamination from the plume. Artificial neural networks (ANNs) were developed with simulation data from a numerical ground water flow model developed for the study area. The ANN-derived state transition equations were embedded into a multiobjective optimization model, from which the Pareto frontier or trade-off curve between water supply and wellfield vulnerability was identified. Relative preference values and power factors were assigned to the three stakeholders, namely the company whose waste contaminated the aquifer, the community supplied by the wells, and the water utility company that owns and operates the wells. A compromise pumping policy that effectively balances the two conflicting objectives in accordance with the preferences of the three stakeholder groups was then identified using various distance-based methods.     

Floridians’ propensity to support ad valorem water billing increases to protect water supply: a panel evaluation

ABSTRACT

While threats to water availability are concerning worldwide, the coastal, rapidly urbanizing state of Florida, USA, is especially at risk. This study used a value approach to determine the propensity to support 10 and 50% monthly water bill increases to inform potential social marketing strategies to protect Florida’s freshwater supply from depletion. The results from five years of public opinion data indicate an increasing percentage of consumers who are willing to support the protection of Florida’s water supply since 2013, with a slight dip in 2017. Upon examination of socio-demographic characteristics, income appeared consistently as an influencer of the propensity to support water bill increases, while factors such as age and race inconsistently appeared throughout the models. Decision makers should consider the significance of income along with heterogeneity in the propensity to support water bill increases to protect Florida’s freshwater. The recommendations for application and research incorporate insights from social marketing, agricultural economics, extension education and sociology.