Why Do Some Water Utilities Recycle More than Others? A Qualitative Comparative Analysis in New South Wales, Australia

Barriers to the digital transformation of infrastructure sectors

Digital technologies can be important to policy-makers and public servants, as these technologies can increase infrastructure performance and reduce environmental impacts. For example, utilizing data from sensors in sewer systems can improve their management, which in turn may result in better surface water quality. Whether such big data from sensors is utilized is, however, not only a technical issue, but also depends on different types of social and institutional conditions. Our article identifies individual, organizational, and institutional barriers at the level of sub-states that hinder the evaluation of data from sewer systems. We employ fuzzy-set Qualitative Comparative Analysis (fsQCA) to compare 23 Swiss sub-states and find that two barriers at different levels can each hinder data evaluation on their own. More specifically, either a lack of vision at the individual level or a lack of resources at the organizational level hinder the evaluation of data. Findings suggest that taking into account different levels is crucial for understanding digital transformation in public organizations.

The use of qualitative comparative analysis to identify pathways to successful and failed sanitation systems

Sanitation systems globally fail at high rates. Researchers and practitioners attribute the causes of both sanitation success and failure to numerous factors that include technical and non-technical issues. A comprehensive understanding of what leads to sanitation failure and how to achieve sanitation success is imperative to prioritize the use of limited resources. To determine which combinations of causal conditions led to successful and failed sanitation systems, we applied fuzzy-set qualitative comparative analysis to 20 cases in Karnataka and Tamil Nadu, India with small-scale sanitation systems. Two pathways led to successful sanitation systems, and four pathways led to failed sanitation systems. All successful systems required Sufficient O&M Funds, a Clear O&M Plan, and Technical Support in addition to either Addressed Sanitation Priorities and Community Participation in Planning or Behavior Change Education and Municipality Involved in Planning. All failed systems had Lack of Municipality in Planning, Unaddressed Sanitation Priorities, and No Technical Support. Most failed systems also had No Clear O&M Plan, Poor Construction Quality, Lack of Community Participation in Planning, and Insufficient O&M Funds. Two failed cases had unique pathways because Government Barriers permanently disrupted use and maintenance. Overall, implementing organizations who initiate sanitation projects in resource-limited communities should ensure that (1) communities have adequate technical and financial resources for maintenance; (2) community and municipality stakeholders are engaged in planning and know their maintenance responsibilities; and (3) appropriate technologies are selected that meet community needs and achieve community buy-in.

Identification of effective parameters for anti-inflammatory concentration in València City's wastewater using fuzzy-set qualitative comparative analysis

The current literature about pharmaceutical and personal care compounds (PPCPs) focuses on identifying their concentration and toxicological risk both in surface water and in wastewater. However, the influence of urban areas (population ageing, income level, hospitals and others) has not yet been analysed. Knowing how a population (and its facilities) affects PPCPs' presence in wastewater is important to identify the conditions that are responsible for their presence. In this work, the influence of water consumption, population ageing, income level, hospitals and nursing homes on the anti-inflammatory concentration have been analysed. To fill the gap between the quantitative data on PPCPs' concentration and the qualitative reasoning of the influence of urban areas on the anti-inflammatory concentration, the use of fuzzy-set qualitative comparative analysis (fsQCA) is proposed. The fsQCA results are presented as recipes that show the different causal combinations of conditions that explain the presence of anti-inflammatories in wastewater. Using fsQCA for urban wastewater management with the aim of explaining the presence of anti-inflammatories in wastewater treatment plants (WWTPs) is a novelty in the literature. The results obtained here show the influence of water consumption (WATCON), hospitals (HOSP) and population ageing (POPAG) as the main conditions for the anti-inflammatory concentration in Valèncian wastewater. Specifically, these conditions are present in all the recipes obtained with consistency of 99%. Through the results obtained, it would be possible to identify that HOSP are the main facilities that discharge anti-inflammatories into urban wastewater. Hence, the necessity of preventive measures to avoid the anti-inflammatory discharge into water bodies has been showed. Furthermore, under a methodological point of view, this work highlights the eligibility of fsQCA as a wastewater cycle management tool.

Why do water quality monitoring programs succeed or fail? A qualitative comparative analysis of regulated testing systems in sub-Saharan Africa

Background

Water quality testing is critical for guiding water safety management and ensuring public health. In many settings, however, water suppliers and surveillance agencies do not meet regulatory requirements for testing frequencies. This study examines the conditions that promote successful water quality monitoring in Africa, with the goal of providing evidence for strengthening regulated water quality testing programs.

Methods and findings

We compared monitoring programs among 26 regulated water suppliers and surveillance agencies across six African countries. These institutions submitted monthly water quality testing results over 18 months. We also collected qualitative data on the conditions that influenced testing performance via approximately 821 h of semi-structured interviews and observations. Based on our qualitative data, we developed the Water Capacity Rating Diagnostic (WaterCaRD) to establish a scoring framework for evaluating the effects of the following conditions on testing performance: accountability, staffing, program structure, finances, and equipment & services. We summarized the qualitative data into case studies for each of the 26 institutions and then used the case studies to score the institutions against the conditions captured in WaterCaRD. Subsequently, we applied fuzzy-set Qualitative Comparative Analysis (fsQCA) to compare these scores against performance outcomes for water quality testing. We defined the performance outcomes as the proportion of testing Targets Achieved (outcome 1) and Testing Consistency (outcome 2) based on the monthly number of microbial water quality tests conducted by each institution. Our analysis identified motivation & leadership, knowledge, staff retention, and transport as institutional conditions that were necessary for achieving monitoring targets. In addition, equipment, procurement, infrastructure, and enforcement contributed to the pathways that resulted in strong monitoring performance.

Conclusions

Our identification of institutional commitment, comprising motivation & leadership, knowledge, and staff retention, as a key driver of monitoring performance was not surprising: in weak regulatory environments, individuals and their motivations take-on greater importance in determining institutional and programmatic outcomes. Nevertheless, efforts to build data collection capacity in low-resource settings largely focus on supply-side interventions: the provision of infrastructure, equipment, and training sessions. Our results indicate that these interventions will continue to have limited long-term impacts and sustainability without complementary strategies for motivating or incentivizing water supply and surveillance agency managers to achieve testing goals. More broadly, our research demonstrates both an experimental approach for diagnosing the systems that underlie service provision and an analytical strategy for identifying appropriate interventions.

Drivers for and against municipal wastewater recycling: a review

The reclamation, treatment and reuse of municipal wastewater can provide important environmental benefits. In this paper, 25 studies on this topic were reviewed and it was found that there are many (>150) different drivers acting for and against wastewater recycling. To deal with the challenge of comparing studies which entailed different research designs, a framework was developed which allowed the literature to be organized into comparable study contexts. Studies were categorized according to the level of analysis (wastewater recycling scheme, city, water utility, state, country, global) and outcome investigated (development/investment in new schemes, program implementation, percentage of wastewater recycled, percentage of water demand covered by recycled water, multiple outcomes). Findings across comparable case studies were then grouped according to the type (for or against recycling) and category of driver (social, natural, technical, economic, policy or business). The utility of the framework is demonstrated by summarizing the findings from four Australian studies at the city level. The framework offers a unique approach for disentangling the broad range of potential drivers for and against water recycling and to focus on those that seem relevant in specific study contexts. It may offer a valuable starting point for building hypotheses in future work.