Water Quality Policy Research Articles

Canadian beach cohort study: protocol of a prospective study to assess the burden of recreational water illness

BackgroundRecreational water activities at beaches are popular among Canadians. However, these activities can increase the risk of recreational water illnesses (RWI) among beachgoers. Few studies have been conducted in Canada to determine the risk of these illnesses. This protocol describes the methodology for a study to determine the risk and burden of RWI due to exposure to fecal pollution at beaches in Canada.MethodsThis study will use a mixed-methods approach, consisting of a prospective cohort study of beachgoers with embedded qualitative research. The cohort study involves recruiting and enrolling participants at public beaches across Canada, ascertaining their water and sand contact exposure status, then following-up after seven days to determine the incidence of acute RWI outcomes. We will test beach water samples each recruitment day for culture-based E. coli, enterococci using rapid molecular methods, and microbial source tracking biomarkers. The study started in 2023 and will continue to 2025 at beaches in British Columbia, Manitoba, Ontario, and Nova Scotia. The target enrollment is 5000 beachgoers. Multilevel logistic regression models will be fitted to examine the relationships between water and sand contact and RWI among beachgoers. We will also examine differences in risks by beachgoer age, gender, and beach location and the influence of fecal indicator bacteria and other water quality parameters on these relationships. Sensitivity analyses will be conducted to examine the impact of various alternative exposure and outcome definitions on these associations. The qualitative research phase will include focus groups with beachgoers and key informant interviews to provide additional contextual insights into the study findings. The study will use an integrated knowledge translation approach.DiscussionInitial implementation of the study at two Toronto, Ontario, beaches in 2023 confirmed that recruitment is feasible and that a high completion rate (80%) can be achieved for the follow-up survey. While recall bias could be a concern for the self-reported RWI outcomes, we will examine the impact of this bias in a negative control analysis. Study findings will inform future recreational water quality guidelines, policies, and risk communication strategies in Canada.

The Impact of a Coastal Water Quality Policy in South Korea: Evidence from the Total Pollution Load Management Program

Deterioration of coastal water quality is a significant concern in economically active cities in South Korea. In response, the South Korean government initiated the total pollutant load management (TPLM) program to control pollutant levels. However, the current evaluation method, based on pre-post comparison, may lead to a biased estimate. Thus, this study aims to establish a cause-and-effect relationship between the TPLM program and coastal water quality improvement using a dataset of over 15,000 observations from 2011 to 2021. A difference-in-difference model was employed to assess the program’s impact, considering its staggered implementation and changes in evaluation frequency. Although the effects on overall treated regions remain inconclusive, the study found evidence of water quality improvement associated with changes in evaluation frequency. For instance, chemical oxygen demand levels decreased by 4.8% to 9.8% points, and total phosphorus levels decreased by 11.5% to 14.8% points, maintaining consistency across robustness checks. These findings suggest that frequent municipal evaluations are effective in managing emission reductions. Therefore, it is recommended that the South Korean government, which currently conducts quarterly water quality tests, increase the evaluation frequency for improved monitoring and better control of non-point sources.

“Efficiency of Carlson Modeling of Eutrophication of the Inner Bay - Puno Lake Titicaca”

Objectives: Determine the degree of water contamination, expressed as a percentage of pure water; Quantify and evaluate water quality; recognize the sources of pollution and know the most relevant pollutants of the channels and mechanisms of eutrophication. Theoretical Framework: Pollution, water quality, pollution sources, tributaries-channels and eutrophication mechanisms. Method: The trophic state index of Carlson (1977) or TSI (Trophic State Index) was used. It is a longitudinal study from 2008 to 2016. With 15 sampling points, 12 times a year, evaluating the physical, chemical and microbiological parameters at each sampling point at 20% and 80% of the water column. Results and Discussion: Use modeling to predict the concentration of contaminants for the different treatment alternatives. Likewise, give a description of a model to estimate water quality. In conclusion, we indicate that the Carlson trophic state index has determined that the most relevant pollutants in the eutrophication process of the Interior Bay are nutrients and phosphates, these coming from the discharge of domestic wastewater from the city of Puno. Research implications: The study will serve to evaluate the behavior of water quality and implement mitigation policies. Originality/Value: This study will contribute to monitoring and treating wastewater.

Drinking water quality impacts oocyte viability and embryo development.

Normal reproductive function and fertility is considered a "sixth vital sign" because disruptions to this sensitive physiological system can forewarn other health issues, including exposure to environmental toxicants. We found that female mice exhibited profound loss of embryos during pre-implantation and fetal development coincident with a change to the source of their drinking water. When female mice were provided with tap water from the building in which they were housed (Water 2), instead of tap water from a neighboring building which was their previous supply (Water 1), ovulated oocytes were degenerated or had impaired meiotic maturation, and failed to form embryos. The harmful effects of Water 2 exposure were not reversible even following a recovery period; however, carbon-filtration of Water 2 removed the toxic contaminant. Water composition analysis to identify the responsible toxicant(s) found that trace elements were present at expected levels and phthalates were undetectable. Per- and Poly-fluoroalkyl Substances (PFAS), a family of persistent organic pollutants were detected at ∼4 ng/L. To investigate further, female mice were given drinking water categorized by level of PFAS contamination (0.6 ng/L, 2.8 ng/L, or 4.4 ng/L) for 9 weeks. Compared to mice consuming purified MilliQ water, mice consuming PFAS-contaminated water had decreased oocyte quality, impaired embryogenesis and reduced cell numbers in blastocysts. PFAS concentration in the drinking water was negatively correlated with oocyte viability. Importantly, the levels of PFAS detected in the tap water are within current "safe level" guidelines, and further research is needed to determine whether PFAS are responsible for the observed reproductive toxicity. However, this research demonstrating that water deemed suitable for human consumption has detrimental effects on mammalian embryo development has important implications for public health and water quality policies.

Emotions and policy information predicting water-quality policy support

The public acknowledges the importance of water quality, and threats to water quality can provoke strong emotional responses. Despite this, the public often resists policies protecting water quality. Research with 349 US residents demonstrated that (1) emotions about specific water policies were more predictive of policy support than emotions about water quality and (2) hope about water policies was a particularly strong predictor of water policy support. In both between-person and within-person analyses, water-policy hope was a stronger predictor of water-policy support than water-policy anxiety, anger, and neutral affect–although these other emotions were related to water-policy support. These findings among water-policy emotions replicated results from a Pilot study with 148 US undergraduate students. The main study also demonstrated that water-policy support increased when policy descriptions explained how policies would improve water quality via hydro systems, and it did so by increasing feelings of water-policy hope. This research suggests that a full range of affective reactions to water policy and water quality should be considered when motivating support for policies protecting water quality.

Evaluation of the Water Quality of Nakdong River Using the Real-time Water Quality Index

Recently, the influx of pollutants into rivers has increased owing to the impacts of climate and environmental change, consequently accelerating the pollution of river ecosystems and aquatic habitats. Consequently, river water quality must be precisely assessed to facilitate effective management strategies by discerning different aspects of water quality deterioration and enhancement and by identifying and regulating river contaminants. Understanding water quality at a cursory glance is highly challenging, particularly for individuals lacking expertise in water pollution assessment. Hence, the present investigation utilized a domestically developed real-time water quality index (RT-WQI) to scrutinize the water quality attributes at 12 specific locations within the total pollution quantity monitoring network situated in the main channel of the Nakdong River system to render the water quality of the river easily comprehensible even to non-specialists. Furthermore, an attempt was made to detect patterns by applying the Mann–Kendall test and locally weighted scatter plot smoothing (LOWESS) using the index values for water quality assessment. To achieve this aim, extensive water quality data (averaged on a monthly basis) spanning 2004–2022 were obtained from the Water Environment Information System of the Ministry of Environment (https://water.nier.go.kr). The gathered date were then subjected to computation of descriptive statistics for individual water quality parameters to delineate the distinctive features of water quality. This study anticipates that the evaluation of water quality across diverse river systems in the future will facilitate the identification of highly polluted rivers and confirm their trends, thereby providing fundamental data for the management of river basins and the formulation of water quality policies.

Analyzing Priority Management for Water Quality Improvement Strategies with Regional Characteristics

As the management areas for NPS pollution continue to increase, it is essential to conduct a situation analysis considering the regional characteristics and the scope of pollution reduction. In this study, the focus is on differentiating regional (urban, agricultural) characteristics to enhance water quality and reduce pollution loads in the increasing management areas for NPSs. Furthermore, priority management areas are identified based on urgency and vulnerability, and management strategies are proposed. The assessment involved evaluating both streamflow and water quality (T-P) using long-term monitoring data and watershed models (SWAT and HSPF) that take into account regional characteristics. The results indicated notable regional improvements, with T-P pollution reductions ranging from 20.7% to 26.8% and T-P concentration reductions ranging from 16.4% to 24.7% compared to baseline conditions in unmanaged areas. Based on these research findings, it is anticipated that the efficient and effective management of NPS pollution can be implemented on a regional basis. Moreover, the results of this study will not only contribute to the establishment of pollution standards, but also significantly impact the evaluation and proposal of management objectives, thereby making a substantial contribution to national water quality policies.

Can Market-Based Models Be Used to Improve Water Quality Policies in Addressing Food and Water Security?

Can Market-Based Models Be Used to Improve Water Quality Policies in Addressing Food and Water Security?

Driving factors of colored dissolved organic matter dynamics across a complex urbanized estuary

The role of estuaries in sourcing and transforming dissolved organic matter - the largest reservoir of organic carbon in the ocean - still presents many unknowns for coastal biogeochemical cycles, and is further complicated by increasing human pressures and a changing climate. Here, we examined the major drivers of colored dissolved organic matter (CDOM) dynamics in Long Island Sound (LIS), a heavily urbanized estuary of National Significance with a storied water quality past. A comprehensive new optical dataset, including measurements of CDOM absorption and fluorescence signatures, was integrated with biological and hydrological measurements to capture the spatiotemporal heterogeneities of LIS, including its urban-to-rural gradient, dynamic river mouths, and blue carbon ecosystems across seasons, following episodic storm events, and over five years. Results reveal longitudinal gradients in both DOM amount and quality. While carbon-rich and humic terrigenous DOM was dominant in the heavily riverine-influenced Central to Eastern LIS, an uncoupling between CDOM absorption (aCDOM) and dissolved organic carbon (DOC) concentration in Western LIS, and a stronger correlation with Chlorophyll-a, indicated increased autochthonous CDOM production. Closer to the New York City urban core, aCDOM was highly correlated to turbidity, consistent with increased wastewater influences. Fluorescence PARAFAC analysis provided strong evidence for seasonal processing of CDOM in LIS, related to increased summertime photochemical degradation of humic-like components and shoulder-season microbial processing. Riverine CDOM export was influenced by discharge amount, residence time, and coastal wetlands acting as additional sources of strongly humic and aromatic organic matter. These measurements allowed us to assess how hydrologic, biological, and anthropogenic processes impact DOM dynamics and, subsequently, biogeochemical variability and trophic status in this complex urbanized estuary, with implications for water quality management and policy. Results discussed here are applicable beyond LIS, as urbanized estuaries globally face similar hydrological and anthropogenic forcings.

Fuzzy comprehensive evaluation of seawater quality of Larimichthys Crocea mariculture areas in Zhoushan, China

Context Aquaculture is an essential industry and assessing its impact on the environment, particularly water quality, is crucial for sustainable practices. This study aimed to comprehensively evaluate the seawater quality in the Dongji Island yellow croaker (Larimichthys crocea) aquaculture area by using the fuzzy comprehensive evaluation method and field survey. Aims The main objective of this study was to assess the seawater quality in the aquaculture area during 2 consecutive years (2019 and 2020) on the basis of monitoring data. Methods The researchers utilised the fuzzy comprehensive evaluation method to assess seawater quality in the Dongji Island yellow croaker aquaculture area. Seawater monitoring data from 6 months in 2019 and 6 months in 2020 were collected for the evaluation. The method included an annual average evaluation, and membership degrees were calculated for each year and individual months. Qualitative interviews with 30 local fish farmers were conducted to unravel the challenges faced by aquaculture water quality management. Key results The evaluation results indicated that the seawater quality in the aquaculture area was classified as Class I water in both 2019 and 2020 on the basis of the annual average evaluation. However, the membership degrees for 2019 were higher than those for 2020, suggesting that water quality was better in 2019. Furthermore, individual monthly evaluations in 2020 showed varying membership degrees, with May and June having higher membership degrees, indicating better water quality than in other months. August had the lowest membership degree, implying poorer water quality during that month. Conclusions The study demonstrated that the fuzzy comprehensive evaluation method is effective for evaluating seawater quality in aquaculture areas. It also concluded that the water quality in 2019 was superior to that in 2020, raising concerns about potential environmental degradation. Implications The quantitative and qualitative findings of this research have important implications for aquaculture practices in the Zhoushan area. The study highlights the need for continued monitoring and management of water quality to ensure sustainable aquaculture practices and adherence to water-quality policies. Future aquaculture endeavours in the region should consider the potential impact on water quality to maintain a healthy ecosystem.

Quantifying co‐benefits of water quality policies: An integrated assessment model of land and nitrogen management

AbstractDue to the nature of nitrogen cycling, policies designed to address water quality concerns have the potential to provide benefits beyond the targeted water quality improvements. For example, actions to protect water quality by reducing nitrate leaching from agriculture also reduce emissions of nitrous oxide, a potent greenhouse gas. These positive effects, which are incidental to the regulation's intended target, are termed “co‐benefits.” To quantify the co‐benefits associated with reduced nitrate leaching, we integrate an economic model of farmer decision making with a model of terrestrial nitrogen cycling for the watershed surrounding Lake Mendota, Wisconsin, USA. Our modeling approach provides a framework that links air and water pollutants in an agri‐environmental system and offers a direction for future studies. Our model results highlight the finding that the co‐benefits from nitrous oxide abatement are substantial, and their inclusion increases the benefit–cost ratio of water quality policies. Consideration of these co‐benefits has the potential to reverse the conclusions of benefit–cost analysis in the assessment of current water quality policies.

Antimicrobial resistance and karst groundwater systems: A policy gap analysis for addressing water quality and contaminants of emerging concern

Aquifers are a significant drinking water source for the United States. Although vital to human well-being, development, and economies, these systems, specifically karst, either have minimal protections or are entirely overlooked in federal and state-level water quality policies and regulations. A lack of policies and regulations for the protection of karst groundwater resources is problematic, especially because these systems are characterized by distinctive landforms such as interconnected networks of underground rivers, sinkholes, springs and caves, and are extremely susceptible to contamination from polluted overland flows. This study considers policy approaches to improve water quality in groundwater, specifically karst systems, especially with regard to emerging contaminants of concern (CECs) and health threats, such as antimicrobial resistance (AMR). The study reviews and evaluates groundwater and karst groundwater quality and AMR policy gaps in federal water legislation (including the U.S. Clean Water Act and the Safe Drinking Water Act), and state-level programs in 44 states to provide recommendations for future policy development. Presently, there is limited federal and state-level protection for groundwater systems and minimal state-level for karst throughout the U.S. Also, there are neither federal nor state regulations for AMR mitigation in water resources. There is a need for policies and monitoring and regulatory programs that support water quality protection and management strategies for water resources with distinctive hydrology. Addressing water quality policy gaps for groundwater resources – especially karst aquifers – and prioritizing emerging contaminants in research, monitoring, and policymaking, are critical to safeguard the public against nascent public and environmental health threats.

Design of water quality policies based on proportionality in multi-issue problems with crossed claims

Water pollutants can be classified into three categories, each of which includes several classifications of substances. In this paper, we present a methodology based on bankruptcy models to determine the emission limits of polluting substances belonging to more than one category. We model the problem as a multi-issue allocation problem with crossed claims and introduce the constrained proportional awards rule to obtain the emission limits. This rule is based on the concept of proportionality and extends the proportional rule for bankruptcy problems. We also provide an axiomatic characterization of this rule. Moreover, this allocation rule is illustrated by means of a numerical example based on real-world data. Finally, managerial and policy implications of this approach for water pollution control are given.

Corrigendum: Water Policy 24 (1), 145–158: Bathing water quality analysis, management and policy: an integrated assessment for Ireland, https://doi.org/10.2166/wp.2021.221

Corrigendum: <i>Water Policy</i> 24 (1), 145–158: Bathing water quality analysis, management and policy: an integrated assessment for Ireland, https://doi.org/10.2166/wp.2021.221

Application of Effect-Based Methods to Water Quality Monitoring: Answering Frequently Asked Questions by Water Quality Managers, Regulators, and Policy Makers.

Effect-based methods (EBM) have great potential for water quality monitoring as they can detect the mixture effects of all active known and unknown chemicals in a sample, which cannot be addressed by chemical analysis alone. To date, EBM have primarily been applied in a research context, with a lower level of uptake by the water sector and regulators. This is partly due to concerns regarding the reliability and interpretation of EBM. Using evidence from the peer-reviewed literature, this work aims to answer frequently asked questions about EBM. The questions were identified through consultation with the water industry and regulators and cover topics related to the basis for using EBM, practical considerations regarding reliability, sampling for EBM and quality control, and what to do with the information provided by EBM. The information provided in this work aims to give confidence to regulators and the water sector to stimulate the application of EBM for water quality monitoring.

Three decades of change in the Skagerrak coastal ecosystem, shaped by eutrophication and coastal darkening

Global coastal ecosystems are under accelerating pressure from human activities and climate change. In this study we explore a long-term time series (mostly 1990–2016) from major Norwegian rivers, together with coastal time series from the Norwegian Skagerrak coast. The aims are to: 1) test long-term trends in riverine loadings to Skagerrak, changes in coastal water quality and pelagic and benthic species composition, and 2) to describe the relationships between human drivers (eutrophication and coastal darkening) and community structure of benthic communities. Riverine discharge and transport increased by 23–85% over the time period, corresponding to a 40–78% increase in concentrations of suspended particulate material in coastal waters and reduced surface salinity, connected to the reported coastal darkening of coastal waters. There was a worsening in ecological status for hard-bottom benthic communities (0–30 m) and a reduction in the lower growth depth limit of several macroalgae species. A structural shift in the community composition from macroalgae to increased abundance of animals was found to be related to increased coastal darkening and reduced eutrophication. The concentration of coastal inorganic nutrients (DIN, PO4) declined by 27–36%, in response to management efforts to reduce eutrophication in European regional seas. Results indicate that reduced eutrophication was related to increased ecological status of the deep soft-bottom community (350 m), with a reduction in opportunistic polychaetes and an increase in filter feeding bivalves. This work highlights how climate change and other human-induced changes in a boreal ecosystem intensifies land-ocean interactions, and calls for more adaptive monitoring, where traditional water quality programs and policies evolve iteratively as new information emerges and the major drivers of the systems change.

Grassland and managed grazing policy review

Perennial grasslands, including prairie and pasture, have declined with tremendous environmental and social costs. This decline reflects unequal policy support for grasslands and managed grazing compared to row crops. To create a resource for community partners and decision-makers, we reviewed and analyzed the policy tools and implementation capacity that supports and constrains grasslands and managed grazing in the U.S. Upper Midwest. Risk reduction subsidies for corn and soybeans far outpace the support for pasture. Some states lost their statewide grazing specialist when the federal Grazing Lands Conservation Initiative lapsed. The United States Department of Agriculture, Natural Resources Conservation Service support for lands with prescribed grazing practices declined after 2005 but remained relatively steady 2010–2020. These results reveal the policy disadvantage for grasslands and managed grazing in comparison with row crop agriculture for milk and meat production. Grassland and grazing policies have an important nexus with water quality, biodiversity, carbon and outdoor recreation policy. Socially just transitions to well-managed, grazed grasslands require equity-oriented interventions that support community needs. We synthesized recommendations for national and state policy that farmers and other grazing professionals assert would support perennial grasslands and grazing, including changes in insurance, conservation programs, supply chains, land access, and fair labor. These policies would provide critical support for grass-based agriculture and prairies that we hope will help build soil, retain nutrients, reduce flooding and enhance biodiversity while providing healthy food, jobs, and communities.

Application of a linked model to simulate catchment water quality in complex land-use area

Owing to the recent developments in computer technology and nationally accumulated hydrology, land use, soil characteristics and flow and water quality monitoring data, high-level modelling results are required. However, as most catchments have a mixture of urban and rural areas, it is challenging to apply one effective model. This study applied a hydrological simulation program to a storm water management model for the Jeonju catchment, South Korea, which has complex land-use characteristics, to determine the hydrological cycle of the catchment, analyse the river water quality and examine the structure of discharge pollutants. The linked model includes an analysis of the sewer pipes, which are the main path of hydrology and pollution loads in urban areas, a low-impact development application, a water circulation improvement technique and an initial storm water treatment facility installation project. This linked model will be very useful for guiding future urban water quality policy.

Structuring the water quality policy problem: Using Q methodology to explore discourses in the Brantas River basin

Recognizing the interrelatedness of water use and conceptual value of IWRM, progressive water resource management systems are moving beyond hierarchical arrangements toward more integrated networks. Increasing calls for participation recognize the value of broadened perspectives that provide both technical expertise as well as social, cultural, and administrative knowledge. Moreover, the call for evidence-based policy of '00s has been tempered by recognition of the political nature of data and science. As such, water decision-makers striving to coproduce and employ shared knowledge must grapple with integrating inputs from diverse participant groups to characterize policy problems and identify effective and feasible solutions. Participatory mandates, coordination bodies, and collaborative networks have emerged to facilitate such integration, and their effective cooperation and alignment relies upon some degree of shared purpose, rather than command and control. But guidance is limited with respect to how to accomplish such integrative aims, including how to support discussions across sectors and silos of practice in order to foster better understanding regarding the problems a policy network collectively aims to address. Motivated by observations within the discourse on water quality in the Brantas River basin in Indonesia, this research explores alternative concepts and problem structures regarding river health via Q methodology. Q methodology, an approach that uses factor analysis to explore human subjectivity, is applied to explore conceptualizations of water quality and the structures of the “water quality problem” in the Brantas. The results show that different groups of perspectives emerge regarding the concept itself, as well as characterization of the current condition of the Brantas. Surprisingly, these variant perspectives do not follow oft-cited government-business-civil society divisions. Moreover, the emergent perspectives demonstrate which aspects of the policy problem are consistent and which are contested, suggesting several starting points for early collaboration and several areas that require further research and facilitated deliberation. The results also offer participants in the collaborative network greater appreciation of the various perspectives and definitions in use, within and across organizations, when discussing water quality.

How anthropogenic factors influence the dissolved oxygen in surface water over three decades in eastern China?

The aquatic environment, linked to the sustainable development of human existence and ecological environment, is influenced comprehensively by anthropogenic and natural activities. In light of the continuously low concentration of dissolved oxygen (DO) in surface water in plain river networks and the phenomenon of delay in the improvement of surface water quality, this research aims to introduce a method that may be utilized in identifying the critical driving forces of DO in surface water and their lagging characteristics, which will contribute to the assessment and adjustment of water quality drivers and/or policies. The research analyzes a typical small watershed in a river network region of the Yangtze River Delta plain as the study area, collecting 35-year (1986–2020) data on several water quality parameters, decades of anthropogenic activities, and two natural factors. The time series methods of vector autoregressive model, Granger causality tests, forecast error variance decompositions, and impulse response functions (hereinafter referred to as VAR+), which are rarely applied in related research, were employed in this study and proved helpful for screening out pivotal drivers and capturing the lagging responses of DO level to driving forces at each lagged time. Results show that there exists a fluctuating drop in DO level in surface water from 1986 to 2008 and a steady climb from 2008 to 2020, with the lowest DO level being present in 2008. The impulsive perturbations of phosphate fertilizer consumption (PFC), motor vessel number, and precipitation minimally increase DO concentration, while the impulsive perturbation of gross domestic product (GDP) causes the sharpest drop in DO level. With these perturbations, the driving force of PFC persists for approximately seven years, and the driving forces of water temperature, permanent population, and GDP persist for only five years. Future research could be conducted with spatial hysteresis, selection of lag order and variable quantity within the model, as well as intermediate variables between drivers and DO level for exploring driving pathways and mechanisms.