Abstract
To provide access to sustainable sanitation for the entire world population, novel technologies and systems have been developed. These options are often independent of sewers, water, and energy and therefore promise to be more appropriate for fast-growing urban areas. They also allow for resource recovery and and are adaptable to changing environmental and demographic conditions what makes them more sustainable. More options, however, also enhance planning complexity. Structured decision making (SDM) can help balance opposing interests. Yet, most of the current research focuses on the selection of a preferred option, assuming that a set of appropriate options is available. There is a lack of reproducible methods for the identification of sanitation system planning options that can consider the growing number of available technology and the many possible system configurations. Additionally, there is a lack of data, particularly for novel options, to evaluate the various sustainability criteria for sanitation.To overcome this limitation, we present a novel software supported approach: the SANitation sysTem Alternative GeneratOr (Santiago). To be optimally effective, Santiago is required to be integrated into an SDM approach. In this paper, we present all the elements that such an integration requires and illustrate these methods at the case of Arba Minch, a fast growing town in Ethiopia. Based on this example and experiences from other cases, we discuss the lessons learnt and present the advantages potentially brought by Santiago for sanitation planning The integration requires four elements: a set of technologies to be looked at, decision objectives for sustainable sanitation, screening criteria to evalute technology appropriateness, and about the technologies and the casea. The main output is a set of sanitation system options that is locally appropriate, diverse in order to reveal trade-offs, and of a manageable size. To support the definition of decision objectives, we developed a generic objective hierarchy for sustainable sanitation. Because one of the main challenges lies in the quantification of screening criteria, we established the data for 27 criteria and 41 technologies in a library.The case studies showed, that if the integration is successful, then Santiago can provide substantial benefits: (i) it is systematic and reproducible; (ii) it opens up the decision space with novel and potentially more appropriate solutions; (iii) it makes international data accessible for more empirical decision making; (iv) it enables decisions based on strategic objectives in line with the sustainable development goals; (v) it allows to prioritise appropriate and resource efficient systems right from the beginning (vi) and it contributes to a more citywide inclusive approach by bridging strategic objectives with an area-based appropriateness assessment. The here presented approach enables the prioritisation of appropriate and resource efficient sanitation technologies and systems in strategic planning. Thereby this approach contributes to SDG 6.2, 6.3, and 11, sustainable sanitation for all.
Highlights
The diverse set of locally appropriate sanitation system options is the main output of Santiago, which is passed over to the Structured decision making (SDM) process for further evaluation, discussion of trade-offs, and selection of the preferred options using any kind of facilitated Multi-Criteria Decision Analysis (MCDA) method
Decision objectives A first workshop to identify decision objectives was conducted with 32 participants representing the major stakeholders in Arba Minch town
In the following we briefly summarise the experiences from other application cases in order to discuss the lessons learnt that are generalisable for any future application of Santiago, and to present the contributions and advantages potentially brought by Santiago for sanitation planning in the future
Summary
Application case profile Characterisation of the application case consisting in data for all screening criteria. There exist five functional groups within a sanitation system:U: User interface; S: Collection and storage. C: Conveyance; T: Treatment; and D: Reuse or Disposal. H2O Water, one resource quantified by the substance flow model. Products Sanitation products are materials that are generated either directly by humans (e.g. urine, faeces, greywater),the urban environment (e.g. stormwater), or by a sanitation technology (e.g. sludge, blackwater, biogas). Sanitation system Sanitation systems are defined as a set of compatible sanitation technologies which in combination manage all sanitation product from the point of generation to a final point of reuse or disposal
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