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Water lies at the intersection of landscape and infrastructure, crossing between visible and invisible domains of urban space, in the tanks and buckets of the global South and the vast subterranean technological networks of the global North. In this book, Matthew Gandy considers the cultural and material significance of water through the experiences of six cities: Paris, Berlin, Lagos, Mumbai, Los Angeles, and London. Tracing the evolving relationships among modernity, nature, and the urban imagination, from different vantage points and through different periods, Gandy uses water as a lens through which to observe both the ambiguities and the limits of nature as conventionally understood. Gandy begins with the Parisian sewers of the nineteenth century, captured in the photographs of Nadar, and the reconstruction of subterranean Paris. He moves on to Weimar-era Berlin and its protection of public access to lakes for swimming, the culmination of efforts to reconnect the city with nature. He considers the threat of malaria in Lagos, where changing geopolitical circumstances led to large-scale swamp drainage in the 1940s. He shows how the dysfunctional water infrastructure of Mumbai offers a vivid expression of persistent social inequality in a postcolonial city. He explores the incongruous concrete landscapes of the Los Angeles River. Finally, Gandy uses the fictional scenario of a partially submerged London as the starting point for an investigation of the actual hydrological threats facing that city.

This World Bank Study provides a basic diagnostic of residential piped water coverage and affordability in Uganda and its relationship with poverty using a series of nationally representative household surveys for the period 2002–13. The study fi rst analyzes trends in piped water coverage using both administrative and survey data. Demand-side and supply-side factors reducing the take-up of piped water service by households in areas where the service is available are estimated. The study also documents the extent to which piped water coverage enables households to shift time use away from domestic tasks toward market work, and the benefi cial effect that this may have on poverty. The targeting performance to the poor of water subsidies is estimated and results obtained for Uganda are compared with estimates for other countries. Finally, the study analyzes issues related to affordability—including the impact of the tariff increase of 2012 on household consumption, poverty, and piped water affordability—as well as the cost for households to connect to the piped water network.

The current literature compartmentalizes the complex issue of water and wastewater into its discrete components; technology, planning, policy, construction, economics, etc. Considered from the perspective of sustainability, however, water in the urban environment must be approached as a single resource that can be continuously reused and recycled. This book will be the first to capture all of the current work on this idea in a single, integrated, plan for designing the water-centric cities of the future. From new construction to the retrofitting of existing systems, this book presents the case for a new urban relationship to water, one with a more sustainableconnection tothe environment and the hydrological cycle. Through case studies of successfully planned and built systems around the world, the book will educate the reader about the need for a new approach to urban water management, and make the case that these changes are not only possible but imperative.

The accurate forecast of water demand is challenging for water utilities, specifically when considering the implications of climate change. As such, this is the first study that focuses on finding associations between monthly climate factors and municipal water consumption, using baseline data collected between 1980 and 2010. The aim of the study was to investigate the reliability and capability of a combination of techniques, including Singular Spectrum Analysis (SSA) and Artificial Neural Networks (ANNs), to accurately predict long-term, monthly water demands. The principal findings of this research are as follows: a) SSA is a powerful method when applied to remove the impact of socio-economic variables and noise, and to determine a stochastic signal for long-term water consumption time series; b) ANN performed better when optimised using the Lightning Search Algorithm (LSA-ANN) compared with other approaches used in previous studies, i.e. hybrid Particle Swarm Optimisation (PSO-ANN) and Gravitational Search Algorithm (GSA-ANN); c) the proposed LSA-ANN methodology was able to produce a highly accurate and robust model of water demand, achieving a correlation coefficient of 0.96 between observed and predicted water demand when using a validation dataset, and a very small root mean square error of 0.025.

In the United States, nationwide estimates of public drinking water arsenic exposure are not readily available. We used the U.S. Environmental Protection Agency's (EPA) Six-Year Review contaminant occurrence data set to estimate public water arsenic exposure. We compared community water system (CWS) arsenic concentrations during 2006-2008 vs. after 2009-2011, the initial monitoring period for compliance with the U.S. EPA's arsenic maximum contaminant level (MCL). Our objective was to characterize potential inequalities in CWS arsenic exposure over time and across sociodemographic subgroups. We estimated 3-y average arsenic concentrations for 36,406 CWSs (98%) and 2,740 counties (87%) and compared differences in means and quantiles of water arsenic (via quantile regression) between both 3-y periods for U.S. regions and sociodemographic subgroups. We assigned CWSs and counties MCL compliance categories (High if above the MCL; Low if below) for each 3-y period. From 2006-2008 to 2009-2011, mean and 95th percentile CWS arsenic (in micrograms per liter) declined by 10.3% (95% CI: 6.5%, 14.1%) and 11.5% (8.3%, 14.8%) nationwide, by 11.4% (4.7%, 18.1%) and 16.3% (8.1%, 24.5%) for the Southwest, and by 36.8% (7.4%, 66.1%) and 26.5% (12.1%, 40.8%) for New England, respectively. CWSs in the High/High compliance category (not MCL compliant) were more likely in the Southwest (61.1%), served by groundwater (94.7%), serving smaller populations (mean 1,102 persons), and serving Hispanic communities (38.3%). Larger absolute declines in CWS arsenic concentrations at higher water arsenic quantiles indicate declines are related to MCL implementation. CWSs reliant on groundwater, serving smaller populations, located in the Southwest, and serving Hispanic communities were more likely to continue exceeding the arsenic MCL, raising environmental justice concerns. These estimates of public drinking water arsenic exposure can enable further surveillance and epidemiologic research, including assessing whether differential declines in water arsenic exposure resulted in differential declines in arsenic-associated disease. https://doi.org/10.1289/EHP7313.

Municipal stormwater systems are designed to collect, transport, and discharge precipitation from a defined catchment area into local surface waters. However, these discharges may contain unsafe levels of fecal waste. Paired measurements of Escherichia coli , precipitation, three land use metrics determined by geographic information system (GIS) mapping, and host-associated genetic markers indicative of human (HF183/BacR287 and HumM2), ruminant (Rum2Bac), dog (DG3), and avian (GFD) fecal sources were assessed in 231 urban stream samples impacted by two or more municipal stormwater outfalls. Receiving water samples were collected twice per month ( n = 24) and after rain events ( n = 9) from seven headwaters of the Anacostia River in the District of Columbia (United States) exhibiting a gradient of impervious surface, residential, and park surface areas. Almost 50% of stream samples ( n = 103) were impaired, exceeding the local E . coli single sample maximum assessment level (410 MPN/100 ml). Fecal scores (average log 10 copies per 100 ml) were determined to prioritize sites by pollution source and to evaluate potential links with land use, rainfall, and E . coli levels using a recently developed censored data analysis approach. Dog, ruminant, and avian fecal scores were almost always significantly increased after rain or when E . coli levels exceeded the local benchmark. Human fecal pollution trends showed the greatest variability with detections ranging from 9.1% to 96.7% across sites. Avian fecal scores exhibited the closest connection to land use, significantly increasing in catchments with larger residential areas after rain events (p = 0.038; R 2 = 0.62). Overall, results demonstrate that combining genetic fecal source identification methods with GIS mapping complements routine E . coli monitoring to improve management of urban streams impacted by stormwater outfalls.

Previous evidence has identified potential racial disparities in access to community water and sewer service in peri-urban areas adjacent to North Carolina municipalities. We performed the first quantitative, multi-county analysis of these disparities. Using publicly available data, we identified areas bordering municipalities and lacking community water and/or sewer service in 75 North Carolina counties. Logistic regression was performed to evaluate the relationship between race and access to service in peri-urban areas, controlling for population density, median home value, urban status, and percent white in the adjacent municipality. In the peri-urban areas analyzed, 67% of the population lacked community sewer service, and 33% lacked community water service. In areas other than those with no black residents, odds of having community water service (p<0.01) or at least one of the two services (p<0.05) were highest for census blocks with a small proportion of black residents and lowest in 100% black census blocks, though this trend did not hold for access to community sewer service alone. For example, odds of community water service were 85% higher in areas that were greater than 0% but less than 22% black than in 100% black areas (p<0.001). Peri-urban census blocks without black populations had the lowest odds of community water service, community sewer service, and at least one of the two services, but this difference was only statistically significant for sewer. Peri-urban areas lacking service with no black residents were wealthier than 100% black areas and areas with any percent black greater than 0%. Findings suggest two unserved groups of differing racial and socioeconomic status: (1) lower-income black populations potentially excluded from municipal services during the era of legal racial segregation and (2) higher-income non-black populations. Findings also suggest greater racial disparities in community water than community sewer services statewide.

Water insecurity poses a complex challenge for the western United States. Large populations are exposed and susceptible to physical and social factors that can leave them with precarious access to sufficient water supplies. Consideration of social issues by water managers can help ensure equitable supply. However, how social factors affect water insecurity conditions remains unclear. This paper reviews literature on how social vulnerability influences water insecurity in the western United States. Through a meta‐analysis, indicators measuring how dimensions of social vulnerability influence water insecurity were classified and hierarchical clustering was used to characterize the relationships among these vulnerability dimensions for the largest water‐users—the agricultural and municipal sectors. The study then assessed uncertainty associated with social vulnerability dimensions and their indicators. There is greatest evidence for the influence of demographic characteristics, socioeconomic status, and exposure. Indicators of these determinants were mainly significant and exacerbated conditions of water insecurity. Evidence for indicators of social dependence and special needs populations was limited, although studies assessing these factors showed significant agreement on their influence on water insecurity. Conceptual framings of social vulnerability and water security determined which indicators were measured, whereas studies of the water‐use sectors focused on differing associations of social vulnerability. These findings indicate the importance of recognizing the different contexts posed by water‐use sectors and diverse conceptual framings. Further, some determinants such as living conditions remain important but underexplored drivers of a community's experience of water insecurity. Understanding the uncertainty associated with these measures has implications to equitable decision making. Plain Language Summary Water security ensures sustainable access to adequate quantities of safe water to sustain livelihoods and economic and social well‐being. Rapidly growing populations and changing climatic conditions make this a challenging task for the western United States. This study reviews previous academic literature to identify how they measured socioeconomic factors that impact water access, quality, and quantity for the largest water‐users ‐ the agricultural and municipal sectors ‐ in the western US. Which social factors were measured depended on which water‐use sector was studied, and whether the authors viewed vulnerability and water security as preexisting or emergent conditions. We found most studies measured characteristics of demographics, socioeconomics, or exposure. Characteristics of risk perception or health were studied less often, with less agreement on their relationship to conditions of water security. There are therefore different levels of surety associated with the available measures of social vulnerability to water insecurity. Water resources managers need to be aware of these differing amounts of surety in the measures used to assist their decision making. Our study explores what is known about different indicators of social vulnerability to water security. Further, we provide a framework comparing otherwise disparate research on the complex subject of water insecurity. Key Points This study determines the influence and uncertainty associated with indicators of social vulnerability to water insecurity There is substantial uncertainty about the strength and/or direction of many indicator relationships to water insecurity conditions Integrated studies are vital as conceptual framing of social vulnerability and water security define which indicators are measured

Intermittent water supply networks risk microbial and chemical contamination through multiple mechanisms. In particular, in the cities of developing countries, where intrusion through leaky pipes are more prevalent and the sanitation systems coverage is low, contaminated water can be a public health hazard. Although countries using intermittent water supply systems aim to change to continuous water supply systems—for example, Kampala city is targeting to change to continuous water supply by 2025 through an expansion and rehabilitation of the pipe infrastructure—it is unlikely that this transition will happen soon because of rapid urbanisation and economic feasibility challenges. Therefore, water utilities need to find ways to supply safe drinking water using existing systems until gradually changing to a continuous supply system. This study describes solutions for improving water quality in Mukono town in Uganda through a combination of water quality monitoring (e.g., identifying potential intrusion hotspots into the pipeline using field measurements) and interventions (e.g., booster chlorination). In addition to measuring and analyses of multiple chemical and microbial water quality parameters, we used EPANET 2.0 to simulate the water quality dynamics in the transport pipeline to assess the impact of interventions.