Climate change presents a major threat to water and sanitation services. There is an urgent need to understand and improve resilience, particularly in rural communities and small towns in low- and middle-income countries that already struggle to provide universal access to services and face increasing threats from climate change. To date, there is a lack of a simple framework to assess the resilience of water and sanitation services which hinders the development of strategies to improve services. An interdisciplinary team of engineers and environmental and social scientists were brought together to investigate the development of a resilience measurement framework for use in low- and middle-income countries. Six domains of interest were identified based on a literature review, expert opinion, and limited field assessments in two countries. A scoring system using a Likert scale is proposed to assess the resilience of services and allow analysis at local and national levels to support improvements in individual supplies, identifying systematic faults, and support prioritisation for action. This is a simple, multi-dimensional framework for assessing the resilience of rural and small-town water and sanitation services in LMICs. The framework is being further tested in Nepal and Ethiopia and future results will be reported on its application.
Climate change is the defining challenge for the 21st century. The increase in global temperatures, changing patterns of precipitation, and more frequent extreme events caused by a changing climate will directly impact water and sanitation services, affecting all aspects of service delivery and undermining the achievement of Sustainable Development Goal 61,2. As climate changes are increasingly felt, there is growing interest in how the resilience of systems and communities can be built to cope with climate threats3. The Inter-Governmental Panel on Climate Change defines resilience as “the capacity of social, economic and environmental systems to cope with a hazardous event or trend or disturbance, responding or reorganizing in ways that maintain their essential function, identity and structure, while also maintaining the capacity for adaptation, learning, and transformation”3.
Despite the critical importance of water and sanitation services in protecting public health4, the resilience of these services in rural communities and small towns in low- and middle-income countries (LMICs) has only been considered recently1. The Vision 2030 study provided the first global assessment of vulnerability and resilience of water and sanitation technologies and management systems5. Following this, there have been global assessments of the likely resilience of commonly used sanitation systems6 and the tools from Vision 2030 have been applied in studies of adaptation strategies for water and sanitation in African cities7 and the resilience of sanitation in small island states8. The potential for Water Safety Plans (WSP) as tools to manage future climate risks to water supply has been identified9, leading to revised guidance10 and some evidence of integration of climate into WSPs in a number of settings, although relatively few from LMICs11. None of the work cited above, however, presented a framework to assess resilience that could be applied more widely.
The increasing attention on resilience in water and sanitation services raises important questions regarding how resilience should be measured and assessed12. GWP & UNICEF13 developed a toolkit for climate-resilient water and sanitation, including recommendations for monitoring and evaluation. They provide a long list of potential indicators to consider across multiple domains, but do not offer a simple tool that could be readily deployed in LMICs. Frameworks have also been developed for large systems in England and Wales14 and small systems in New Zealand15. However, neither of these two approaches can be immediately deployed for water and sanitation services in rural areas and small towns in LMICs, which operate in far more resource-constrained conditions and where simpler technologies, often managed by volunteers with little or no technical skills, are common.
Monitoring frameworks that can support action to prioritise communities, regions, technologies, or management systems are of particular importance in resource-poor environments. A parallel can be drawn with surveillance of the safety of water supplies. Studies in rural and urban areas of LMICs have demonstrated that simple robust measures of water supply performance can be developed that are effective in supporting decision-making at local and national level16,17,18,19.
Given the lack of available simple tools to assess resilience, an interdisciplinary team of engineers, environmental and social scientists was brought together to investigate how to improve the measurement of resilience. This paper reports on the outcome of this work and presents a proposed framework for assessing the resilience of rural and small-town water supplies and sanitation systems in LMICs.
Five climate-related hazards that may threaten water and sanitation services in rural communities and small towns in LMICs were identified: floods, droughts, windstorms, storm surges, and sea-level rise. Of these hazards, the current literature is only strong for floods and droughts and these became the focus of this study. These were also the principal hazards that threatened the systems in the field sites in Nepal and Ethiopia. Flooding represents a particular threat to infrastructure integrity which may lead to water and environmental contamination or cause complete failure of the infrastructure, while drought may lead to a reduction in the water available in sources or degrade their quality1.
We identified six key domains that influence resilience to floods and droughts shown in Table 1. Each domain was defined if it was considered to have a distinct and specific influence on resilience which was not subordinate to other domains. The literature review and expert opinion identified how the different domains could be assessed and the field assessments verified whether these were practical.
Water supply and sanitation infrastructure
Resilience requires that the infrastructure designed to support the delivery of services remains functional when under stress or subjected to shocks with the design based on a thorough initial risk asessment1,20. This requires an assessment of the ability of the infrastructure to withstand identified threats, which has been shown to be most effectively undertaken through a sanitary inspection16,17,18,19. Previous work has shown that analysis of sanitary inspection data combined with water quality and meteorological data demonstrates how water supplies respond to current and likely future weather events21. Assessments of risk from droughts were found to be better based on diagnostic data on water supplies related to factors such as depth of boreholes, yield assessments, and flows22. This assessment may be supplemented by data from key informant interviews with operators and managers on seasonal and temporal trends in yield.
Environmental setting (catchment)
The importance of catchment protection is well-documented for water supplies in LMICs23,24. Poorly managed catchments that encourage rapid overland flow may increase the risk of damaging floods. Degraded catchments with extensive bare soil, steep, managed forests, or farmland that do not promote infiltration and natural water storage may increase the risk of reducing yields of water sources during droughts. Remotely sensed images provide key information related to topography and land use, particularly vegetation cover, that are key to understanding how a catchment may respond to heavy rain events, prolonged rainfall, or prolonged dry periods25,26,27,28. They also provide useful information regarding likely sources of point and diffuse pollution within the catchment related to land use and population density29,30,31. For Nepal and Ethiopia, we found that Google EarthTM provided remotely sensed images that provided sufficient detail to develop likely scenarios of how these would react to climate events and to assess the exposure of communities to current and future threats.
Water and sanitation management
Adaptive management is critical in building resilience32,33 and the importance of management tools to cope with the likely threats of future climate change has been noted9,34. Strong adaptive management is typified by WASH management structures that are representative of the communities they serve, with substantive participation by women and marginalised groups; sustainable financing (through user fees or similar community contributions) including access to emergency funds for rehabilitation; operator(s) in post with the requisite skills; and transparent decision-making processes35. Both formal and informal systems of governance were identified as important and often the latter proves to be the strongest drivers for good governance as they are rooted within the culture of the communities. The assessment of the resilience of service management was considered most effectively achieved through key informant interviews with managers of services and community members.
Community governance and engagement
Community governance and engagement are important when considering active engagement in climate adaptation activities for WASH36. Efforts to improve engagement in WASH without dealing with wider issues of how decisions are made within communities and who holds and uses power will undermine progress in developing resilient services. How communities respond to the challenges brought about by climate change will be dictated, to a significant extent, by their existing power and social structures37,38,39. Communities with well-established, responsive, and representative civic structures were considered more resilient to environmental change. The building blocks of such civic structures include local families, local self-help groups, local religious groups, local decision-making forums (both formal and informal), and local elites. A strong sense of community engagement was associated with higher levels of disaster preparedness and the likelihood of sharing information with neighbours40,41. Communities also coped with environmental stresses by coordinating the use of limited resources. In the context of water and sanitation, this may involve scheduling collection from public sources during a water shortage, transfers, or ‘gifts’ of water between neighbours with unequal access and contributing to building community facilities42,43,44,45. Social governance and engagement are best analysed through assessing the evidence of established social bonds, social networks, levels of interdependence, levels of conflict (latent or active), and cooperation over the use, maintenance, control of services, and evidence of previous collaboration on successful projects. This evidence is best collected through focus group discussions with community members.
The literature on WASH shows that support from the local or national government to WASH committees and managers from the local or national government helps ensure better management and operation46,47,48. Such support may cover different aspects, including technical support, financial assistance, support with purchasing spares, and water quality testing49. Rapid response to requests for urgent help, particularly for specialist repairs, and a transparent and simple system for accessing materials and spare parts are critical for communities to be able to effectively manage WASH services. Proactive visits by the government demonstrate a wider commitment to support communities, improve management, and help them to anticipate, absorb and accommodate events. Data on local government support is best collected from both local government and communities because this provides an understanding of both what should happen and what does happen in practice and the constraints that determine what support is given.
Supply chains are critical in ensuring that WASH services continue to function50. This is a separate issue to service management because supply chains are heavily influenced by where goods and services are sold and the condition of supporting infrastructures such as roads, bridges, and telecommunication51. Supply chains can get overwhelmed or disrupted after a severe weather event because of changes in supply and demand, damage to supporting infrastructure from a flood or landslide, and lack of contingency plans52,53. It is particularly important to assess whether there are critical points within the infrastructure, for instance, parts of roads prone to landslides or key river crossings at risk of flooding, which could impair the timely supply of spare parts, tools, or access to specialist support. Collecting data on supply chains requires a combination of interviews with WASH managers and spatial analysis of the critical infrastructure (roads, bridges, communications) used by the supply chain.
Scoring the indicators
After identifying the domains of interest, a Likert scale for each domain was developed based on a set of scenarios that the team considered demonstrated different levels of resilience for each domain. The scenarios were then given a score ranging from a score of 1 (very low resilience) to 5 (very high resilience).
The scenarios defined are based on the likelihood that the water supply or sanitation system will be able to cope with climatic events and so prevent adverse impact. Table 2 shows how each level of resilience is defined for each domain for piped water supplies and Table 3, for sanitation. The team also developed additional modules for assessing the infrastructure domain of point water sources and for water treatment (see supplemental data).
A final score for an individual system can be calculated by adding the scores for each domain as shown in Table 4. In this approach, the score under each domain is simply summed to provide an overall score, similar to the calculation of a total sanitary risk score when using sanitary inspection forms18. By providing a single score for each water supply or sanitation system, the likely resilience can be compared to other systems, thus supporting decision-making about where to prioritise efforts to increase resilience. Table 5 provides the scores for two water supplies in both Ethiopia and Nepal, with details on the rationale for each score provided in the supplementary information. The scoring system can also be used to calculate average scores for each domain, thus identifying whether systemic problems in particular domains exist. Finally, the scores for each domain may be used to analyse a single system to identify where weaknesses may lie and where the action is required.
The framework is now being tested with detailed data from study sites in both Nepal and Ethiopia to test how well the framework works in practice. We aim to report the details of this testing in the near future.
The impacts of climate change impacts on water and sanitation services have not received the attention it deserves to date in LMICs, and the sector must address this more systematically. An indicator framework for resilience of water and sanitation is important in helping the sector understand and cope with climate change. The feedback from our external consultation with representatives from UN agencies and NGOs noted the utility of a simple framework for assessing resilience as a useful addition to sector tools. How such a framework would integrate with assessments of sustainability was raised as being important to address within the guidelines developed to support the use of this framework.
To effectively understand and measure resilience, we have proposed a scoring system based on an assessment of resilience in six different domains. Resilience requires action across multiple aspects of water and sanitation services34 and the concept of domains is useful in capturing the multi-faceted nature of the influence on resilience54. Combining the data from the six domains identified provides a multi-dimensional assessment of resilience. This approach not only allows a comprehensive evaluation of resilience, but also encourages a greater analysis of where weaknesses lie and the need to invest in multiple aspects of service delivery. This is particularly important when considering some of the broader aspects, such as social cohesion, institutional support, and supply chains, as they are often not given sufficient attention when supporting efforts to make water and sanitation service delivery more resilient and effective.
The absence of finance as a specific domain may be questioned given its acknowledged importance in increasing and maintaining access to water and sanitation services55. Finance in the framework is captured under management and institutional support domains as a tool to support the delivery and management of services. If, however, there were finances available solely dedicated to climate resilience and adaptation, including for emergency repairs after a major climatic event, then a domain could be developed to capture variation in its uptake.
The study team also developed a policy domain that is not presented here because it is assumed that national policy would apply equally to all water supplies and sanitation within a country. Scoring the policy domain and integrating it into an overall resilience score would be useful in making inter-country comparisons as a way of benchmarking how the water and sanitation sector was supporting adaptation to climate change.
For catchments, using satellite images from publicly available platforms was the only viable way to assess quality given the limited availability of maps and limited gauging of rivers. Where more accurate maps and gauged catchments exist or more detailed local remotely sensed images are available, it may be more appropriate to substitute these measures when assessing catchment quality. Time series of images would be useful to understand how changes in the catchment may have driven changes in water supply yield or in flood risks, but in many LMICs a sufficient historical record of images is absent. This limitation may be overcome, to some extent, through collecting qualitative data from communities although this may come with some caveats regarding knowledge of larger catchments.
It may be argued that indicator frameworks should rely on more specific quantitative measures, for instance, detailed hydrological modelling of flood risks or specific measures of water supply service functioning such as maintaining positive pressures in pipes. However, such approaches are data-intensive and the amount of data required is rarely available in LMICs, particularly within rural communities and small towns. It is also not certain that greater use of such data would yield better decision-making given it would inevitably be bounded by significant uncertainties particularly in relation to future hydrology given the disruptive nature of climate change56.
Developing indicator frameworks also requires consideration about the extent to which an indicator should be based on precise measures of an attribute or require a degree of subjective assessment. For instance, sanitary inspection forms are an example of using precise measures with a binary response in relation to the presence or absence of a hazard or risk18,21. However, as resilience is a very broad concept, using precise measures tends to result in very large numbers of indicators because each measure must be tightly defined13. We believe the approach to define each domain broadly allows for greater flexibility whilst maintaining comparability and that differences in individual judgement in each assessment can be easily overcome through training and peer review between assessors.
The framework presented uses existing data collection methods. Using tried and tested tools is more likely to encourage wider uptake than developing new data collection methods. In the context of LMICs, the limited availability of quantitative data requires an approach that allows for expert judgement. The advantage of using a semi-quantitative and flexible framework is that it avoids reliance on data-intensive approaches and can be modified as conditions demand, while still supporting the key objective of transparent monitoring.
This framework is not linked to specific projections of climate change, but rather takes a broader approach to understand likely resilience to anticipated impacts. Linking to more specific changes in climate is likely to be best achieved through climate storylines57 that provide a more narrative-based approach to describing climate impacts. Climate storylines for Nepal and Ethiopia have been developed and the influence of these on the framework is being assessed.
The framework is designed to operate at a community scale. It does not capture individual or household actions, which could increase or decrease an individual’s resilience to climate change. Household action is a greater issue for sanitation than water supply, particularly in rural areas where households take primary responsibility for service provision. However, we believe that understanding community level threats to sanitation is important to define resilience and identify actions required to support communities. For water supply, household interventions either focus on household water treatment or additional self-supply, for instance, rainwater harvesting. Such interventions may improve water quality, but rarely increase the amount of water available. The available evidence indicates that providing higher levels of water supply service through community scale services delivers the greatest public health benefits1. A focus on community scales is therefore warranted when considering resilience.
Many of the domains identified are inter-linked, with failures in one domain potentially compromising or compensating for resilience in other domains. The framework as developed does not capture these effects and this is an area requiring further analysis. However, it is unlikely that high resilience in one domain can ever fully compensate for low resilience in another domain and thus the framework indicates where the action is required.
The framework can then be used in multiple ways and at multiple scales to support action. It can be used to rank communities within a country or sub-national region, providing a transparent means by which priority areas for action can be identified. The framework will also allow the assessment of consistent failures in domains requiring systemic action such as changing technology design codes or improved institutional support. At the local level, the framework can be applied as a scorecard for a community-focused activity to support local community engagement and action to improve resilience.
The framework we have developed focuses specifically on water and sanitation services. In the future, it is important that this framework is integrated with other metrics of resilience to build a comprehensive picture of the resilience of basic services.
Testing the usefulness and applicability of the framework at a larger scale in Ethiopia and Nepal, including at sites recently affected by an extreme event, as well as extending the application of the framework to other critical service systems are important next steps in the face of a changing climate.
The study employed three approaches to identifying potential components of a measurement framework: literature review; expert opinion; and limited field assessments in two countries, Nepal and Ethiopia, that are broadly representative of LMICs facing challenges both in the provision of water and sanitation and from future climate change. The field sites in Ethiopia and Nepal had not suffered recent extreme events, but were communities already experiencing the consequences of climate change and under threat from likely future events.
The literature review focused on the reasons why water and sanitation services fail in response to climate variability and extreme events. Searches were undertaken in Scopus, Web of Science Core Collection, and PubMed using the following key search terms: ‘climate change’ and ‘sanitation’, ‘climate change’ and ‘drinking water’, ‘climate resilience’ and ‘sanitation’, ‘climate resilience’ and ‘water supply’, ‘climate resilien*’ and ‘indicator*’. No limits were set on the date of publication, but only papers published in English were considered. In addition, documents identified from the IPCC 5th Assessment Report were reviewed. As this search was not a systematic or scoping review, we did not set formal inclusion/exclusion criteria or formally assess the quality of different papers.
Expert opinion of resilience in practice was solicited from the members of the research team who came from the UK, Ethiopia, and Nepal using their experiences over the past 30 years, supported by discussions with other sector professionals.
Limited field assessments were undertaken in Nepal and Ethiopia (see supplementary materials for details). Field assessments identified: the technologies used; recorded the location of services using GPS; collected details on how the services are managed; the level of support from local government; and, where spares and services were obtained. Sanitary inspections of water supplies and sanitation facilities were undertaken using forms modified from the examples provided by WHO18. Satellite and aerial images of the catchments containing the communities selected were analysed in Google EarthTM for information on landforms, land use, pollution sources, and activities that could disrupt or affect water supplies.
Weighting data from methods
The relative importance of the data derived from the three approaches varied somewhat by domain, but the overall equal weight was given to all three approaches to collecting the evidence. Field assessment data was given more weight when it demonstrated variance with evidence from literature or expert opinion, or where the evidence from other sources was limited or contradictory.
We developed a framework to capture attributes that influence resilience and devised a scoring system using a Likert scale. The draft framework was shared with a selected number of international partners and a virtual consultation held to gain their opinion on the framework and specifically: (i) whether the framework sufficiently captured the different aspects of resilience, (ii) whether it was of use in planning and programming, and (iii) whether it provided a comprehensive assessment of resilience.
All the data used in this paper is provided within the tables and supplementary data.
Howard, G., Calow, R., Macdonald, A. & Bartram, J. Climate change and water and sanitation: likely impacts and emerging trends for action. Annu. Rev. Environ. Resour. 41, 253–276 (2016).
Jiménez-Cisneros, B. E., et al. Freshwater resources. In Climate Change 2014: Impacts, Adaptation, and Vulnerability, Part A: Global and Sectoral Aspects (Working Group II Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change), editors: C. B. Field, V. R. Barros, D. J. Dokken, K. J. Mach, M. D. Mastrandrea, et al., 229–269 (UK: Cambridge University Press, 2014).
IPCC. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R. K. Pachauri and L. A. Meyer (eds.)] IPCC, Geneva, Switzerland, 151 (2014).
Bartram, J. & Cairncross, S. Hygiene, sanitation, and water: forgotten foundations of health. PLoS Med. 7, e1000367 (2010).
Howard, G., & Bartram, J. Vision 2030: the resilience of water supply and sanitation in the face of climate change. Technical Report, (WHO, Geneva, 2009).
Sherpa, A. M., Koottatep, T., Zurbruegg, C. & Cissé, G. Vulnerability and adaptability of sanitation systems to climate change. J. Water Clim. Change 5, 487–495 (2014).
Heath, T. T., Parker, A. H. & Weatherhead, E. K. Testing a rapid climate change adaptation assessment for water and sanitation providers in informal settlements in three cities in sub-Saharan Africa. Environ. Urbanization 24, 619–637 (2012).
Fleming, L. et al. Urban and rural sanitation in the Solomon Islands: how resilient are these to extreme weather events? Sci. Total Environ. 683, 331–340 (2019).
Khan, S. J. et al. Extreme weather events: should drinking water quality management systems adapt to changing risk profiles? Water Res. 85, 124–136 (2019).
World Health Organisation. Climate-resilient water safety plans: managing health risks associated with climate variability and change. p 82, (World Health Organization, Geneva, 2017).
Ricket, B., van den Berg, H., Bekurec, K. & Girmad, S. & de Roda Husman, A.M. Including aspects of climate change into water safety planning: Literature review of global experience and case studies from Ethiopian urban supplies. Int. J. Hyg. Environ. Health 222, 744–755 (2019).
Hallegatte, S. & Engle, N. L. The search for the perfect indicator: reflections on monitoring and evaluation of resilience for improved climate risk management. Clim. Risk Manag. 23, 1–6 (2019).
GWP & UNICEF. WASH Climate Resilient Development Technical Brief: Monitoring and evaluation for climate resilient WASH. https://www.gwp.org/globalassets/global/about-gwp/publications/unicef-gwp/gwp_unicef_monitoring-and-evaluation-brief.pdf (2017).
ARCADIS. Measuring resilience in the water industry. https://www.unitedutilities.com/globalassets/z_corporate-site/about-us-pdfs/looking-to-the-future/measuring-resilience-in-the-water-industry_final.pdf (2017).
Nokes, C. Water Supply Climate Change Vulnerability Assessment Tool Handbook Health Analysis & Information For Action (HAIFA). ESR Client Report No: CSC12010. (Environmental Science and Research Limited, Porirua, New Zealand, 2012).
Lloyd, B. J. & Bartram, J. Surveillance solutions to microbiological problems in water quality control in developing countries. Water Sci. Technol. 24, 61–75 (1991).
Lloyd, B. J. & Helmer, R. Surveillance of Drinking Water Quality in Rural Areas. Longman, Harlow, UK (1991).
World Health Organisation. Guidelines for drinking-water quality 2nd edition Volume 3: Surveillance and control of community supplies. Geneva, (World Health Organization, 1997).
Howard, G. & Bartram, J. Effective water supply surveillance in urban areas of developing countries. J. Water Health 3, 31–43 (2005).
Kohlitz, J., Chong, J. & Willetts, J. Rural drinking water safety under climate change: the importance of addressing physical, social, and environmental dimensions. RESOURCES 9, 77 (2020).
Kelly, E. R., Cronk, R., Kumpel, E., Howard, G. & Bartram, J. How we assess water safety: a critical review of sanitary inspection and water quality analysis. Sci. Total Environ. 718, 137237 (2020).
MacDonald, A. M., Calow, R. C., MacDonald, D. M. J., Darling, W. G. & Dochartaigh, B. E. O. What impact will climate change have on rural groundwater supplies in Africa? Hydrological Sci. J. 54, 690–703 (2009).
Rickert, B. Chorus, I. & Schmoll, O. (eds). Protecting surface water for health. Identifying, assessing and managing drinking-water quality risks in surface-water catchments. WHO, Geneva. 178pp (2016).
Schmoll, O. Howard, G., Chilton, J. and Chorus, I. (eds). Protecting Groundwater for Health: managing the quality of drinking-water sources. WHO, Geneva. 609pp (2006).
Saha, A. K. & Agrawal, S. Mapping and assessment of flood risk in Prayagraj district, India: a GIS and remote sensing study. Nanotechnol. Environ. Eng. 5, 1–18 (2020).
Sahana, M. & Sajjad, H. Vulnerability to storm surge flood using remote sensing and GIS techniques: a study on Sundarban Biosphere Reserve, India. Remote Sens. Appl.: Soc. Environ. 13, 106–120 (2019).
Belal, A. A., El-Ramady, H. R., Mohamed, E. S. & Saleh, A. M. Drought risk assessment using remote sensing and GIS techniques. Arab. J. Geosci. 7, 35–53 (2014).
Palamuleni, L. G., Ndomba, P. M. & Annegarn, H. J. Evaluating land cover change and its impact on hydrological regime in Upper Shire river catchment, Malawi. Reg. Environ. Change 11, 845–855 (2011).
Masocha, M., Murwira, A., Magadza, C. H., Hirji, R. & Dube, T. Remote sensing of surface water quality in relation to catchment condition in Zimbabwe. Phys. Chem. Earth Parts A/B/C. 100, 13–18 (2017).
Wang, X. et al. A method coupled with remote sensing data to evaluate non-point source pollution in the Xin’anjiang catchment of China. Sci. Total Environ. 430, 132–143 (2012).
Basnyat, P., Teeter, L. D., Lockaby, B. G. & Flynn, K. M. The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems. For. Ecol. Manag. 128, 65–73 (2000).
Baird, J., et al. The emerging scientific water paradigm: Precursors, hallmarks, and trajectories. WIREs Water https://doi.org/10.1002/wat2.1489 (2021).
da Silva Wells, C., van Lieshout, R. & Uytewall, E. Monitoring for learning and developing capacities in the WASH sector. Water Policy 15, 206–225 (2013).
Howard, G. et al. Securing 2020 vision for 2030: climate change and ensuring resilience in water and sanitation services. J. Water Clim. 1, 2–16 (2010).
Whaley, L. & Cleaver, F. Can ‘functionality’ save the community management model of rural water supply? Water Resour. Rural Dev. 9, 56–66 (2017).
Kohlitz, J., Chong, J. & Willetts, J. Analysing the capacity to respond to climate change: a framework for community-managed water services. Clim. Dev. 11, 775–785 (2019).
Blue, G., Rosol, M. & Fast, V. Justice as Parity of Participation: Enhancing Arnstein’s Ladder Through Fraser’s Justice Framework. J. Am. Plan. Assoc. 85, 363–376 (2019).
Buggy, L. & McNamara, K. E. The need to reinterpret “community” for climate change adaptation: a case study of Pele Island, Vanuatu. Clim. Dev. 8, 270–280 (2016).
Adger, W. N., Barnett, J., Brown, K., Marshall, N. & O’Brien, K. Cultural dimensions of climate change impacts and adaptation. Nat. Clim. Change 3, 112–117 (2013).
Sanyal, S. & Routray, J. K. Social capital for disaster risk reduction and management with empirical evidences from Sundarbans of India. Int. J. Disaster Risk Reduct. 19, 101–111 (2016).
Bihari, M. & Ryan, R. Influence of social capital on community preparedness for wildfires. Landsc. Urban Plan. 106, 253–261 (2012).
Bisung, E. & Elliott, S. J. “It makes us really look inferior to outsiders”: Coping with psychosocial experiences associated with the lack of access to safe water and sanitation. Canadian. J. Public Health 108, 442–447 (2017).
Stoler, J. et al. Household water sharing: a missing link in international health. Int. Health 11, 163–165 (2019).
Zug, S. & Graefe, O. The gift of water. Social redistribution of water among neighbours in Khartoum. Water Alternatives, 7, 140-159(2014).
Adeniji-Oloukoi, G., Urmilla, B. & Vadi, M. Households’ coping strategies for climate variability related water shortages in Oke-Ogun region, Nigeria. Environmental. Development 5, 23–38 (2013).
Hutchings, P. et al. A systematic review of success factors in the community management of rural water supplies over the past 30 years. Water Policy 17, 963–983 (2015).
Miller, M. et al. External support programs to improve rural drinking water service sustainability: A systematic review. Sci. Total Environ. 670, 717–731 (2019).
Harvey, P. A. & Reed, R. A. Community-managed water supplies in Africa: sustainable or dispensable? Community Dev. J. 42, 365–378 (2006).
Kayser, G. L., Moomaw, W., Portillo, J. M. O. & Griffiths, J. K. Circuit rider post-construction support: improvement in domestic water quality and system sustainability in El Salvador. J. Water, Sanitation Hyg. Dev. 4, 460–470 (2014).
Harvey, P. A. & Reed, R. A. Sustainable supply chains for rural water supplies in Africa. Eng. Sustain. 159, 31–39 (2006).
Colon, C., Hallegatte, S. & Rozenberg J. Criticality analysis of a country’s transport network via an agent-based supply chain model. Nat. Sustain. https://doi.org/10.1038/s41893-020-00649-4 (2020).
Baharmand, H., Comes, T. & Lauras, M. Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake. Ann. Oper. Res. 283, 961–1000 (2019). Special Issue: SI.
Haraguchi, M. & Lall, U. Flood risks and impacts: A case study of Thailand’s floods in 2011 and research questions for supply chain decision making. Int. J. Disaster Risk Reduct. 14, 256–272 (2015).
Salehi, S. et al. Climate change adaptation: a systematic review on domains and indicators. Nat. Hazards 96, 521–550 (2019).
Pories, L., Fonseca, C. & Delmon, V. Mobilising Finance for WASH: Getting the foundations right. Water https://doi.org/10.3390/w11112425 (2019).
Milly, P. C. D. et al. Stationarity Is Dead: Whither Water Management? Science https://doi.org/10.1126/science.1151915 (2008).
Shepherd, T. G. Storyline approach to the construction of regional climate change information. Proc. R. Soc. Math. Phys. Eng. Sci. 475, 20190013 (2019).
The funding for this study came from the University of Bristol Quality Related Global Challenges Research Fund.
The authors declare no competing interests.
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Howard, G., Nijhawan, A., Flint, A. et al. The how tough is WASH framework for assessing the climate resilience of water and sanitation. npj Clean Water 4, 39 (2021). https://doi.org/10.1038/s41545-021-00130-5