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Deficit analysis: service capacity assessment and planning in developing countries - case study in the Philippines
Garric E Louis1, Luna M Magpili, Cesar A Pinto
1Department of Systems and Information Engineering, University of Virginia, P. O. Box 400747, 151 Engineer's Way, Charlottesville, VA 22904, USA. gel7f@virginia.edu
Current methods fail to analyze chronic deficits in water and sanitation services. This study introduces a formal deficit analysis model for municipal sanitation systems (MSS) to address these service gaps.
Area of Science:
- Environmental Engineering
- Public Health
- Urban Planning
Background:
- Existing demand analysis methods inadequately address chronic deficits in water supply, sanitation, and waste management.
- Municipal sanitation systems (MSS) often face challenges with service quantity and quality.
- A formal approach is needed to define and analyze these service deficits.
Purpose of the Study:
- To propose a formal analytical model for municipal sanitation systems (MSS) experiencing chronic deficits.
- To introduce definitions and notation for describing deficit states in sanitation services.
- To enable effective demand analysis for MSS with service quantity or quality issues.
Main Methods:
- Development of a novel analytical model for municipal sanitation systems (MSS).
- Introduction of specific definitions and notation for deficit states.
- Application of the model through a case study in Bacoor, Philippines.
Main Results:
- The proposed deficit analysis model provides a formal framework for understanding sanitation service shortfalls.
- The model allows for the evaluation of options to reduce identified deficits.
- The case study demonstrates the practical application of the deficit analysis model.
Conclusions:
- The deficit analysis model offers a structured approach to managing chronic service deficits in MSS.
- Formal analysis is crucial for improving the quantity and quality of drinking water supply (DWS), wastewater treatment (WST), and municipal solid waste (MSW) services.
- This framework supports evidence-based decision-making for enhancing urban sanitation infrastructure.
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