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Student Advising M. Shah Alam Khan |
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Name of the student: Mohammad Zaved Anwar Chowdhury Program
: M .Sc (WRD)
Title:
Background
and
The service area of Dhaka Water Supply
and Sewerage Authority (DWASA) covers approximately 75% of Dhaka Metropolitan
area. DWASA started its operation in 1963 with a 13% demand deficit. The deficit
continued to increase for the next 33 years and was 49% in 1990. From 1996 the
trend was reversed and deficit stared to decline (Haq, 2006). After
construction of the Saidabad surface water treatment plant (SWTP), the deficit
was at its lowest in 2003 in the history of DWASA. However, the deficit
increased again from 2004. At present about 83% of water supplied though the
pipe network comes from 507 deep tubes wells (DWASA, 2009). The remaining 17%
of water is supplied from two major surface water treatment plants at Saidabad
and Chadnighat. However, water resources are becoming increasingly scarce to
meet the demand. Groundwater recharge in the upper aquifer is much less
compared to abstraction, causing groundwater mining. DWASA has assessed the
demand and available water resources to formulate a plan to meet the growing
water demand. Several resource and demand management scenarios have been
presented and analyzed (IWM, 2006). Water
demand is assessed based on household survey in residential areas. In different
demand management scenarios, groundwater and surface water resources are
considered. However, grey water reuse and rainwater harvesting potentials have
not been assessed in these scenarios. Murshed and Khatun (2009) assessed the quality
and quantity of grey water in a few residential buildings in
Objectives and possible outcome:
The objectives of this study are to:
(i) estimate additional resources
available from grey water reuse and rainwater harvesting for water supply in (ii) assess public opinion
regarding grey water reuse, rainwater harvesting and demand management options,
and (ii) optimize water resources
allocation under different resource and demand management scenarios.
Possible outcome
Outline of Methodology:
Demand and Resource
Assessment:
Household survey results from a previous demand
survey (IWM, 2007) will be used to estimate domestic water demand. Commercial
and Industrial water demand will be estimated using number of people engaged in
various establishments from the economical census of 2001 and 2003 (BBS, 2008) and
water use rate (liter per capita per day) from Bangladesh national building code
(BNBC). Feasibility of grey
water reuse will be assessed based on secondary literature. Acceptance of rainwater
and recycled grey water for household use in multistoried buildings will be assessed
through limited household survey in a selected 'maintenance operation and
distribution service' (MODS) zone. Availability
of surface water and groundwater will be estimated from a previous DWASA study
(IWM, 2006). Availability of rainwater will be estimated based on secondary
literature.
Scenario Development:
Baseline for the WEAP model will be developed based
on actual circumstances (demand and supply) in the current account year (2010).Then
the reference scenario will be established for the period 2010-2030 in which
future demand will be estimated on the basis of population growth and water use
rate (Rahman, 2009). High growth (HG), Medium growth (MG) and
Low growth (LG) demand scenario (McCartney, 2007) will be developed to reflect
the higher, intermediate and lower growth ends of future water demands. Resource
and demand management scenarios will be developed separately and then combined
for further model studies. Parameters of these scenarios will include population
growth, water use rate, or non- revenue water, reuse rate, water saving from demand
management, additional water resources, withdrawal and recharge of groundwater.
Resource Optimization:
WEAP
is a software developed by SEI (Stockholm Environment Institute) for integrated
water management, which is an optimization model that evaluates balance of
demand and supply, and analyzes scenarios of different water allocation (river,
groundwater, etc.) and demand (SEI, 2007). Input of the model will be data on
geographical features of
References:
BBS (2008). Economical Census 2001 and
2003, Zila series, Zila:
Chowdhury,
DWASA (2009). Management information
report, Dhaka Water Supply and Sewerage Authority, 2009,
Haq, K.A. (2006). Water management in
IWM (2006). Resource Assessment and Monitoring of
Water Supply Sources for Dhaka City, Final Report submitted to Dhaka Water
Supply and Sewerage Authority (DWASA).
IWM (2007). Resource Assessment and
Monitoring of Water Supply Sources for
McCartney, R.A.M. (2007). Application of
the Water Evaluation and Planning (WEAP) Model to Assess Future Water Demands
and Resources in the Olifants Catchment,
Murshed, M.S. and Khatun, A. (2009).
Characterization and Treatment of Greywater, Undergraduate thesis, Department
of Civil Engineering, BUET.
Rahman, M.S. (2009). Simulation of water
resources management scenarios in Dinajpur Sadar upazila using WEAP model, M.Sc.
thesis, IWFM, BUET.
SEI (2007). Water Evaluation and Planning
System, Stockholm Environment Institute,
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