Development of a Water-Pricing Model for Domestic Water Uses in Dhaka City Using an IWRM Framework
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Methods and Data
3. Results
3.1. Existing Water Supply Scenario
3.2. Current Water-Pricing Practice and Its Impacts
3.3. Proposed Water-Pricing Model
4. Discussion
5. Conclusions
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Externality | Formula |
---|---|
Increased energy consumption and energy cost | [128] (5) where = plain water density = 1000 kg/m3, = acceleration due to gravity = 9.8 ms−2, = volume of water extracted in liters (or cubic meters), the change in water levels in study period, [54] (6) |
Damage cost for dryness of tubewell | [54] (7) = no. of dried tubewells during the study period, = cost of construction of a new tubewell in the study area. |
Cost of carbon footprint of water | [54] (8) = cost of damage caused by greenhouse gas emissions for each kilowatt hour of electricity produced. (9) = unit damage cost of CO2e emission, = grid emission factor = amount of CO2e produced per MWH of electricity production. |
Cost of health externalities | [129] (10) = Average no. of people affected by water shortage related diseases in the slum, = Average yearly treatment cost per person (BDT) |
Formal Settlement | Impacts | Slum |
---|---|---|
8% respondents claimed that price is high | Affordability | 88% respondents claimed that price is not affordable |
Pay on average 1.03% of monthly income for water | Income spent on water | Pay on average 8% of monthly income for water |
Average water use per capita is 202 L | Water consumption | Average water use per capita is 18 L |
None complained about drinking less water due to price | Drinking water consumption | About 64% of the slum respondents claimed not affording sufficient water for drinking |
None complained about not bathing every day to reduce water bill | Bathing | 58% of the respondents take bath at 2–4 days interval |
2% claimed using less water for Sanitation | Sanitation | 82% of the respondents claimed that the price of water is too high to afford, consequently leading to open defecation and unhygienic sanitation |
Having comparatively little income, 2% HHs claimed of using less water than their need where the women of the family make this compromise | Gender | 80% of the women compromise their sanitation hygiene saving up to BDT 500 per month and complete their defecating and urinating at home |
Externality | Total Cost (Million BDT) | Annualized Cost (Million BDT) |
---|---|---|
Increased energy consumption cost | 247 | 55 |
Damage cost for dryness of deep tubewells | 165 | 37 |
Cost of carbon footprint of water | 28 | 6 |
Cost of health externalities | 3 | 1 |
Total | 443 | 99 |
Block | Pricing Basis | Subdivision of Price | Monetary Value | Increase in Price |
---|---|---|---|---|
1st block (Q ≤ 50 lpcd) | Extraction cost of groundwater (EC) | Current price = BDT 14.46 | BDT 15.18 | 5% |
Subsidized amount of price = BDT 0.72 | ||||
2nd block (Q ≤ 50 lpcd) | Full economic cost | EC = BDT 15.18 | BDT 25.37 | 75% |
Cost of Externalities = BDT 10.19 |
Indicators | Tejgaon Residential Area | Dhaka City | ||
---|---|---|---|---|
1st Pricing Block | 2nd Pricing Block | 1st Pricing Block | 2nd Pricing Block | |
Amount of water saved | 0.22 Mm3/year | 4 Mm3/year | 17 Mm3/year | 255 Mm3/year |
Amount of energy saved from reduced extraction of water | 50 MWH/year | 750 MWH/year | 3710 MWH/year | 56,160 MWH/year |
Amount of CO2e emission saved from the reduced amount of energy production | 35 tons/year | 505 tons/year | 2485 tons/year | 37,630 tons/year |
Existing Water Issues | Baganbari Slum | Tejgaon Slum |
---|---|---|
Type of water supply | Legal connection from DWASA | Illegal connection from private vendors |
Water price (BDT/m3) | 14.46 | 250 |
Average HH income (BDT) | 5600 | 6440 |
Average income spent on water (%) | 1.3 | 8.0 |
Average water consumption (lpcd) | 40 | 18 |
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Kashem, S.; Mondal, M.S. Development of a Water-Pricing Model for Domestic Water Uses in Dhaka City Using an IWRM Framework. Water 2022, 14, 1328. https://doi.org/10.3390/w14091328
Kashem S, Mondal MS. Development of a Water-Pricing Model for Domestic Water Uses in Dhaka City Using an IWRM Framework. Water. 2022; 14(9):1328. https://doi.org/10.3390/w14091328
Chicago/Turabian StyleKashem, Sumaia, and M. Shahjahan Mondal. 2022. "Development of a Water-Pricing Model for Domestic Water Uses in Dhaka City Using an IWRM Framework" Water 14, no. 9: 1328. https://doi.org/10.3390/w14091328
APA StyleKashem, S., & Mondal, M. S. (2022). Development of a Water-Pricing Model for Domestic Water Uses in Dhaka City Using an IWRM Framework. Water, 14(9), 1328. https://doi.org/10.3390/w14091328