|DOI / URL||link|
|Creative Commons Licence|
|Title (Primary)||Data reduced method for cost comparison of wastewater management scenarios - case study for two settlements in Jordan and Oman|
|Author||Khurelbaatar, G.; Al Marzuqi, B.; van Afferden, M.; Müller, R.A.; Friesen, J.|
|Journal||Frontiers in Environmental Science|
|Page From||art. 626634|
T5 Future Landscapes
|Keywords||wastewater, central, Decentral, rural, cost-effective, Data scarcity|
|Abstract||Safe access to sanitation is at the core of the United Nations
Sustainable Development Goal (SDG) #6. Currently, it is estimated that
this goal cannot be met by 2030. Despite all kinds of administrational
hurdles, meeting SDG#6 depends on considerable investment. In order to
get a chance at fulfilling SGD#6, the most cost-effective wastewater
management has to be identified. Wastewater can be managed in different
ways ranging from central treatment plants connected to individual
households through sewer networks down to tanker fleets servicing each
household. Depending on the geographical setting, investment costs,
operation & maintenance as well as social acceptance there is no
single best solution. Instead, identifying the optimal wastewater
management is highly localized and country-specific or even
settlement-specific. Within this study we present a data-reduced
scenario generation and assessment for wastewater management based on
the ALLOWS method that can be applied to individual settlements. Results
provide cost-ranked wastewater management scenarios that enable
decision makers to select the most cost-effective and feasible scenario.
Our study starts with a detailed step-by-step methodology of a data-reduced ALLOWS approach. The approach is applied to two small settlements in Jordan and Oman with comparable population size for which a set of five scenarios along a decentralization gradient is defined and generated: centralized, semi-centralized, decentralized, and on-site / tanker.
Considering spatial specificities and country-specific cost data, the five scenarios are cost-ranked and discussed in view of the two settlement settings. For Jordan specific treatment costs range from 3.8 to 6.9 USD/m3 of treated water and for Oman from 2.3 to 10.1 USD/m3. Although the scenario ranking differs, for both settlements the decentralized scenario is identified as the most cost effective, where wastewater is treated on-site for less-populated parts and by small cluster treatment plants for higher density parts.
Further, potential extensions providing users with more functionality depending upon data availability for the data-reduced ALLOWS method are discussed. Using globally available data, the data-reduced can be applied worldwide. In view of SDG#6, we present a methodology that closes the gap between country-scale investment estimates and the most cost-effective wastewater management scenarios at settlement level.
|Persistent UFZ Identifier||https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=23892|
|Khurelbaatar, G., Al Marzuqi, B., van Afferden, M., Müller, R.A., Friesen, J. (2021):
Data reduced method for cost comparison of wastewater management scenarios - case study for two settlements in Jordan and Oman
Front. Environ. Sci. 9 , art. 626634