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Water pollution is a major issue in developing countries. 2.2 of the 2.3 billion people who suffer annually from waterborne diseases live in this part of the world. Moreover, it causes the deterioration of aquatic ecosystems the living of billions of poor people depend on. A major source of water pollution is the discharge of untreated municipal wastewater. On average, cities in developing countries discharge 80-90% of their sewage untreated. Though treatment of municipal wastewater remains a huge challenge in developing countries, the situation is not equally adverse all over the place. Treatment rates vary substantially across localities. From this observation, the question arises what drives and what impairs wastewater treatment. No quantitative analysis of this topic has been performed yet at the municipal level in a developing country.
Therefore, this thesis investigates the impact of social factors on municipal wastewater treatment in Mexican municipalities in order to gain insights on what improves wastewater treatment in a developing country. 846 of 2,456 Mexican municipalities treat a share of their municipal wastewater that ranges from single-digit percentages to full coverage while the majority of municipalities treats no wastewater. The study relies on econometric techniques to scrutinize 10 hypotheses on the relationship between social factors and wastewater treatment. More precisely, it applies binary outcome models to estimate the conditional probability wastewater treatment takes place in a municipality for a sample of 2,290 Mexican municipalities. In addition, it applies the Tobit and Fractional logit model to estimate the percentage of treated municipal wastewater depending on social factors for 425 municipalities.
The thesis identifies geographic spillovers, environmental federalism, institutional aspects like the corporatization of municipal water service, urbanization, per capita income and its distribution as significant influencing factors. A significant effect of education, ethnic heterogeneity, female participation in municipal politics and water scarcity is not found. In addition, the involvement of superior government tiers of a developing country in the funding of municipal wastewater treatment infrastructure seems to mitigate the influence of social factors on wastewater treatment. Based on these findings, the thesis develops policy recommendations to improve municipal wastewater treatment in developing countries.
Wastewater treatment systems abound as a result of technological improvements in treatment processes. Therefore in the selection of a wastewater treatment system for a particular wastewater treatment situation there are many alternatives to choose from. Despite this development municipal wastewater treatment in communities in developing countries are not always sustainable due to the application of inappropriate treatment systems. The question is how can an appropriate treatment system be identified for a certain location? The answer to this question is of importance to developing countries where wastewater treatment is usually not sustainable.
In this study a framework for assessing wastewater treatment systems was developed. First, a comprehensive set of indicators representing parameters of treatment systems and properties of the study area that impacts on wastewater treatment were identified. Secondly, assessment of these indicators were carried out through expert and community survey to identify a final set of indicators whose composition consist of efficiency, reliability and simplicity of treatment systems and resource constraint, resource recovery and environmental concerns of the study area. Thirdly, four wastewater treatment systems, namely: Waste Stabilization Ponds, Trickling Filter, reed bed and free water surface Constructed Wetlands considered to be feasible for the study area were evaluated by the application of the identified indicators. Finally, a decision matrix produced was processed by multi-attribute decision making methods using two indicator weights to identify the most appropriate treatment system among the four alternatives.
Results of the study show that in a scenario where equal indicator weights are assumed, reed bed is identified as the most appropriate with stabilization ponds being ranked as the least appropriate. In a more practical scenario where the weights of the indicators are allocated to reflect conditions of the study area, free water surface is ranked as the most appropriate. This outcome is at variance with stabilization pond technologies currently installed at communities in the study area. The performance of constructed wetlands is at the midpoint as far as most of the high to medium weighted assessment indicators are concern. It therefore represents a compromising solution between waste stabilization pond and trickling filter. The study also shows a change in variants of constructed wetland with a change in indicator weights. An indication that the decision situation determines the appropriateness of a treatment system and not the treatment system itself.
The selection framework employed in this study can be said to be reliable and capable of identifying a treatment system that can be appropriate for a particular location. This is because the choice of a constructed wetland for the study area fits the definition of appropriate treatment system defined by the final indicators identified in this study.