Decentralized Wastewater Systems in Bengaluru, India: Success or Failure?
Notice bibliographique
Résumé
Decentralized wastewater treatment and reuse (DWTRU) using small-scale on-site sewage treatment plants (STPs) is an attractive solution addressing the problems of water pollution and scarcity, especially in rapidly urbanizing cities in developing countries, where centralized infrastructure for wastewater treatment is inadequate. But decentralized systems face several challenges (economic feasibility, public acceptance) that need to be better understood. The city of Bengaluru in India provides an excellent opportunity to evaluate such systems. In 2004, in an effort to curb the alarming levels of pollution in its water bodies due to untreated sewage disposal, the environmental regulatory agency mandated apartment complexes above a certain size to install STPs and reuse 100% of their wastewater, resulting in the installation of more than 2200 on-site STPs till date. This study attempts to analyze the factors influencing the extent of treatment and reuse in such systems, through structured surveys of residential associations, STP experts and government officials. The results are analyzed using a framework that integrates the technology adoption literature with the monitoring and enforcement literature. The study indicates that, while no apartment complex is able to reuse 100% of its treated water, there exists significant variation across apartment complexes in the level of treatment and reuse (from partial to poor) due to a complex mix of economies of scale, the price of fresh water, the level of enforcement and awareness, and technological choices made under information asymmetry. Only apartments dependent on expensive tanker water supply had clear economic incentives to comply with the order. Yet many large complexes that depended on low-priced utility or borewell supply were partially compliant, owing partly to lower (although positive) costs, higher level of formal enforcement and perhaps greater environmental awareness. On the other hand, the high treatment cost pushed smaller complexes to curtail the operation of their STPs (and the lower levels of enforcement further worsened this), resulting in inadequate treated water quality and consequently low reuse levels. The study recommends relaxing the infeasible 100% reuse criterion, and raising the threshold size above which DWTRU should be mandated so as to reduce the cost burden and increase enforceability. Subsidies towards capital costs and enabling resale of treated water will enable wider adoption. DWTRU is an apparently attractive solution that however, requires judicious policy-making and implementation to succeed.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».