Sustainable Sanitation Management Tool for Decision Making in Isolated Areas in Brazil

Filho, Fernando Jorge Corrêa Magalhães; Queiroz, Adriane Angélica Farias Santos Lopes de; Machado, Beatriz Santos; Paulo, Paula Loureiro

doi:10.3390/ijerph16071118

Cited by 12 publications

(9 citation statements)

References 20 publications

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“…Expert stakeholder types include pit latrine emptiers, water and sanitation employees, government agencies, and researchers. The 14 unique stakeholder combinations were identified in literature (columns labeled A–N): A, B, C, ,,, D, E, F, G, H, I, J, K, ,, L, ,, M, , and N . For example, one paper included stakeholders defined in combination A (end-users, farmers, pit latrine emptiers, and water and sanitation employees), and four papers included stakeholders defined in combination C (water and sanitation employees, government agencies, and researchers).…”

Section: Methodsmentioning

confidence: 99%

“…Community and stakeholder surveys can be used to collect data on pair-wise preference between indicators (e.g., indicator A is moderately more important than indicator B). In 57 F, 53 G, 39 H, 51 I, 38 J, 45 K, 10,37,44 L, 13,33,43 M, 26,27 and N. 46 For example, one paper included stakeholders defined in combination A (end-users, farmers, pit latrine emptiers, and water and sanitation employees), and four papers included stakeholders defined in combination C (water and sanitation employees, government agencies, and researchers). the absence of data on stakeholder's pair-wise comparisons between indicators, DMsan users can utilize a database of country/territoryspecific preferences (indicator contextual drivers) to inform pair-wise preferences.…”

Section: Criteria and Indicator Weight Assignmentmentioning

confidence: 99%

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DMsan: A Multi-Criteria Decision Analysis Framework and Package to Characterize Contextualized Sustainability of Sanitation and Resource Recovery Technologies

Lohman

Morgan

et al. 2023

ACS Environ. Au

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In resource-limited settings, conventional sanitation systems often fail to meet their goalswith system failures stemming from a mismatch among community needs, constraints, and deployed technologies. Although decision-making tools exist to help assess the appropriateness of conventional sanitation systems in a specific context, there is a lack of a holistic decision-making framework to guide sanitation research, development, and deployment (RD&D) of technologies. In this study, we introduce DMsanan open-source multi-criteria decision analysis Python package that enables users to transparently compare sanitation and resource recovery alternatives and characterize the opportunity space for early-stage technologies. Informed by the methodological choices frequently used in literature, the core structure of DMsan includes five criteria (technical, resource recovery, economic, environmental, and social), 28 indicators, criteria weight scenarios, and indicator weight scenarios tailored to 250 countries/territories, all of which can be adapted by end-users. DMsan integrates with the open-source Python package QSDsan (quantitative sustainable design for sanitation and resource recovery systems) for system design and simulation to calculate quantitative economic (via techno-economic analysis), environmental (via life cycle assessment), and resource recovery indicators under uncertainty. Here, we illustrate the core capabilities of DMsan using an existing, conventional sanitation system and two proposed alternative systems for Bwaise, an informal settlement in Kampala, Uganda. The two example use cases are (i) use by implementation decision makers to enhance decision-making transparency and understand the robustness of sanitation choices given uncertain and/or varying stakeholder input and technology ability and (ii) use by technology developers seeking to identify and expand the opportunity space for their technologies. Through these examples, we demonstrate the utility of DMsan to evaluate sanitation and resource recovery systems tailored to individual contexts and increase transparency in technology evaluations, RD&D prioritization, and context-specific decision making.

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Section: Methodsmentioning

confidence: 99%

Section: Criteria and Indicator Weight Assignmentmentioning

confidence: 99%

DMsan: A Multi-Criteria Decision Analysis Framework and Package to Characterize Contextualized Sustainability of Sanitation and Resource Recovery Technologies

Lohman

Morgan

et al. 2023

ACS Environ. Au

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“…Cornerstones for the availability of clean water and sanitation are intelligent systems supporting the planning, implementation, and operation of corresponding technical infrastructures (Mahmoud et al, 2013 ; Magalhães et al, 2019 ).…”

Section: Recommender Systems For Sustainabilitymentioning

confidence: 99%

Recommender systems for sustainability: overview and research issues

Felfernig,

Wundara,

Tran

et al. 2023

Front. Big Data

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Sustainability development goals (SDGs) are regarded as a universal call to action with the overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity for all people. In order to achieve these objectives, different AI technologies play a major role. Specifically, recommender systems can provide support for organizations and individuals to achieve the defined goals. Recommender systems integrate AI technologies such as machine learning, explainable AI (XAI), case-based reasoning, and constraint solving in order to find and explain user-relevant alternatives from a potentially large set of options. In this article, we summarize the state of the art in applying recommender systems to support the achievement of sustainability development goals. In this context, we discuss open issues for future research.

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“…It has easy operation and maintenance, such as cleaning the garden and harvesting the fruits, and can be built from common materials such as bricks, PVC pipes, and tires (LEAL, 2014;OLIVEIRA;LEAL, 2017;FIGUEIREDO;. With the help of a decisionmaking tool, this technology was chosen and implemented in a participatory way in a quilombola community in Mato Grosso do Sul, where excellent results were observed during monitoring (MAGALHÃES FILHO et al, 2019).…”

Section: Disposal Of Sewage and Fecal Watermentioning

confidence: 99%

Service and precariousness of sanitary sewage in rural communities in the state of Goiás, Brazil

Vale

Ruggeri

Scalize

2022

Eng. Sanit. Ambient.

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The rate of attendance to sanitary sewage services is low in rural communities, representing precarious sanitation conditions with dumping in rudimentary cesspools or in the open. Knowledge of the fractions of effluents generated and the places where they are released is important, since inadequate disposal generates public health problems and negatively impacts the environment. In this way, the objective of this work was to identify the amounts of effluent fractions generated and the deficit of sanitary sewage in rural communities in the state of Goiás. The study area included 97 rural communities, from which data were collected regarding the existence of bathrooms, alternatives and disposal sites for domestic sewage fractions, such as feces separated from urine. The results indicated an absence of a bathroom in 6.6% of the analyzed rural households, being in 2.5 and 18.2% in the households of the settlements and quilombolas, respectively, highlighting in the latter the occurrence of disposal in the open or stream in 13.7%. There was a predominant use of rudimentary cesspools to receive sewage and fecal water, while gray water from the kitchen sink and washing tanks are mainly disposed in the backyard, representing the greatest deficit in the communities. Thus, in most of the studied households there is a deficit due to lack of service, due to the release of untreated effluents into ditches/open air, mainly for gray water, and precarious service due to the unsafe disposal of treated effluents or the use of rudimentary cesspools. Few alternative technologies were found for the treatment of effluents, with ecological pit, biodigester and Tapiocanga stone pit being identified. It was concluded that the deficit of sewage in the households of the studied communities is high, due to the release of effluents without treatment and the use of rudimentary cesspools, characterized as lack of service and precarious service, respectively, observed in 84.6% of households.

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Sustainable Sanitation Management Tool for Decision Making in Isolated Areas in Brazil

Cited by 12 publications

References 20 publications

DMsan: A Multi-Criteria Decision Analysis Framework and Package to Characterize Contextualized Sustainability of Sanitation and Resource Recovery Technologies

DMsan: A Multi-Criteria Decision Analysis Framework and Package to Characterize Contextualized Sustainability of Sanitation and Resource Recovery Technologies

Recommender systems for sustainability: overview and research issues

Service and precariousness of sanitary sewage in rural communities in the state of Goiás, Brazil

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