INT. J. BIOL. BIOTECH., 14 (1): 41-47, 2017.
DESALINATION PLANT SITE SUITABILITY ALONG KARACHI COAST AND
PROTECTION OF MANGROVES BY SPATIAL DECISIONS SUPPORT SYSTEM
(SDSS)
Ibrahim Zia1 , Syed Jamil Hasan Kazmi2 , Hina Zafar2 and Imran Ahmed Khan2*
1
 National Institute of Oceanography, ST.47, Block 1, Clifton, Karachi 2E8 Pakistan.
2
 Department of Geography, University of Karachi, Karachi 75270, Pakistan.
*Corresponding author Imran Ahmed Khan Email: imranak32@hotmail.co m
ABSTRACT
    The Population of Karachi metropolitan city is increasing at a rapid rate, therefore demand for drinking water day by
    day. This demand requires permanent fresh water supply for the residential areas. Consequently, desalination plants are
    needed on the coastal belt of the city on a priority basis. Desalination plants can potentially be harmful by their effects
    on adjacent ecology of the adjacent areas especially mangroves forests. The basic idea of this study is to select the
    appropriate site by using GIS-based Spatial Decisions Support System (SDSS) in which site locations will fulfills the
    given parameters to protect the mangroves. This system employs some pertinent variables for mangroves such as
    pollution, coastal suitable bathymetry, road networks, and residential area in close proximity to the desalination plant
    site along Karachi coast.
Key words: Mangroves forest, Desalination plant, GIS, Spatial Decisions support system (SDSS), Karachi water
demand, bathymetry, pollution, Reclaim area, Coastline.
INTRODUCTION
     The Karachi coast is an extremely active zone in some of the major factors; one factor is high rate of population
increase. As a consequence of this fact fresh water demand is ever increasing (Chaudhury, 2013). This issue is
always present on front line for local government of Karachi. In fact, shortage of drinking water is a global issue
even in world’s biggest metropolitan cities but this crisis in Pakistan especially in Karachi city seems to be more
acute. One of the most important reservoirs of water is the rainfall that is stored in nearby Hub dam but due low and
erratic rainfall and the consequent shortage of water in the dam ever increasing population, in various areas across
Karachi the proper distribution is becoming a challenge to expand supply and manage (Jabeen et al, 2015). Although
the underground water on the coastal area like DHA, Clifton and Gizri etc is available this ground water is
extremely sour in taste and can’t be used for daily usage therefore they either have a common area water tank or
they switch toward getting water from commercial water tanker suppliers. Based on considering the various facts of
water supply shortage a desalination plant at DHA Phase 8 near extension was inaugurated on February 2008 (see
figure 1). The Large population and increase demand of this most essential utility of life appealing the greater
development towards this alternative and successful way to overcome the requirement of fresh water.
Mangrove ecosystems
     Mangrove biomes control the coastal wetlands of tropical and subtro pical regions all over the world. Mangroves
also play vital role in the shore protection from storm surges, tidal currents, and erosion. They also naturally filter
the coastal water from acidification and pollution transport from wetlands toward coastal en vironment (Menendez
and Priego, 1994; Suman, 1994). Mangrove forests along Indus deltaic region expedite fish and shrimp breeding by
which hundreds of fishermen, local communities and sea food export industry levitate. The South Asian mangrove
forests are highly bio-diverse and provide multiple ecosystem services upon which millions of people are reliant. In
Pakistan these forests also have experienced same as global attitude of extensive deforestation owing to demand for
commodities, and many studies have approved the development of aquaculture as mostly accountable. In the global
forest cover by area only 3 % are mangroves but it has been estimated that at the existing rates of degradation, these
forests can release up to 10% of the total carbon emission s from deforestation worldwide. Simultaneously,
mangroves belong to the most threatened and vulnerable ecosystems worldwide and experienced a dramatic decline
during the last half century. International programs, such as the Ramsar Convention on Wetlands o r the Kyoto
Protocol, underscore the importance of immediate protection measures and conservation activities to prevent the
42                                                                                              IBRAHIM ZIA ET AL.,
further loss of mangroves forests (Davis, 1994; Totten et al, 2003; Seto and Fragkias, 2007; Gardner and Davidson,
2011).
Impacts of desalination plant discharges
     Desalination plant processing discharge into coastal water will increase the salinity levels, temperature, pH,
dissolved inorganic carbon which also includes some chemicals which disturb the local marine ecosystem (Areiqat
and Mohamed, 2005). To avoid the adverse effect of the desalination plant to the marine life and the ecology in the
local plant vicinity we include deep water depth of nearly 3m which retaliate s the effect to the local ecological
environment especially of vulnerable areas such as mangrove forests, salt marshes and coral reefs. Desalination of
seawater has been in practice for nearly 50 years and is considered to be as one of the main source of fresh water in
many countries like Middle East and other regions of the world. Therefore, the planning for future desalination
plants along Karachi coast requires the protection of ecology including Mangroves as well as the deleterious effect
of desalination plants on the local to regional environment. We should be aware of the fact that the effluent
discharges from the plant back to the sea may have a negative impact on marine environment and its ecosystem
through its discharge (Hashim and Hajjaj, 2005; Miri and Chouikhi, 2005). As Arabian Sea play an important role in
global physical and ecological environment (Khan et al, 2015).
     The major objective of this paper is to highlight the application of SDSS for selecting a site for desalination
plant in Karachi Pakistan in such a way that the mangrove forests are not affected. It discusses the need for
desalination plant to address the existing water crisis in Karachi and at the same time we must be aware of the
negative impacts of the use of desalination plant particularly in relation to mangroves. This raises the need for the
use of SDSS to find a suitable site for the desalination plant.
Study Area
    Study area for this model is Karachi city; it has grown to be the largest urban center of Pakistan. Its coast
spreads from Cape Monze in the west to Korangi creek in the east. The Karachi coast is the border between the
Indus delta and the northern most part of Arabian Sea (Fig.1). The coast of Karachi from Manora to Cape Monze is
Rocky and sandy so the Bathymetry near this Part of Karachi coast varies from point to point in depth. Beaches of
Karachi are famous, unceasingly and usually recreational points like Hawksbay, paradise Point and one of most
popular one is Clifton (seaview) beach.
Methodol ogy
Spatial Decision Support System
    Spatial Decision Support System (SDSS) is an interactive, computer-based system designed to support a user or
group of users to achieve more effective and accurate decision making while solving a semi-structured spatial
decision problem (Crossland et al, 1995). SDSS are characterized by powerful graphical display capabilities and
sophisticated handling of spatial data when compared to general purpose spatial SDSS (Beedasy et al, 1999).
Additionally, SDSS provides specific analytical and modeling capabilities that have common lacking in a
conventional GIS (Jelokhani-Niaraki and Malczewski, 2015). It is an integrated system approach which reflects the
results in the spatial meanings; by using SDSS in the site selection of Desalination plant along the coast we hav e to
analyze the effects of predefined parameters on the selection of site (Baayyad et al, 2015; Tomaszewska et al, 2015;
Shahabi et al, 2015). In this study model proceed in the following ways:
Model Parameters
     In this study Spatial Decision Support System (SDSS) Model developed to estimate the position of desalination
plant along the Karachi coast on the basis of some commonly define Parameters. Model parameters weightag e are
representing in the fig. 2 which shows the major parameters weightage using a weighting overlay technique. In this
model the main Parameters used are:
i) Mangroves areas, ii) Pollutant water, iii) Road network, iv) Coastal depth, v) Coastline and v) Reclaims Area
Mangroves areas
     Mangroves of Karachi coast spread over the Indus delta. Indus delta mangroves originally occupy an area of
600,000 hectares and consist of creeks, mudflats and forests between Karachi in the north and the Rann of Kutch in
the south. It was once the 6th largest forest of its kind in the world. Now it provides fuel in the shape of wood to
approximately 120,000 people, forage to 16,000 camels and other products to 28,570 households. The forest owes
its sustenance to nutrient-loaded silt in the estuaries. Mangroves also act as shield against active tidal erosion in the
area.
INTERNATIONA L JOURNAL OF BIOLOGY AND BIOTECHNOLOGY 14 (1): 41-47, 2017.
PROTECTION OF MANGROVES BY SPATIA L DECISIONS SUPPORT SYSTEM                                                    43
Fig. 1. Study Area (Two rivers Lyari and Malir, Existing desalination plant and famous Karachi beaches).
                               Parameters
                              Defined As A
                               Spatial and
                              Attribute Data
                                                        Mangroves Forest
                               Mangroves                    Buffers
                               Forest cover
                                                          Road Network                Weighted Overlay
                              Road Network                                            and Generate Suitable
      Study Area                                             Buffers
                                                                                      Site Location on The
     Satellite Image          Pollutant water          Pollutant Area Buffer
                                                                                      Basis of Spatial
                                                                                      Parameters
                                                           Coastal Depth
                              Coastal depth
                                                              Buffers
                                                        Coast Line Buffers
                              Reclaim Areas
                                  Coastline
Fig. 2. Workflow model diagram.
Polluted water
    Karachi has two rivers named Malir and Lyari Rivers which are sinking along the coast of the city. Malir River
discharges lots of turbid and polluted water into the Arabian Sea along the SE coast of Karachi furthermore this
water is not suitable to fulfill the requirements of healthy drinking water. Therefore the desalination plant at SE
coast of Karachi. Fig. 4 shows the specific location of Malir and Lyari Rivers.
INTERNATIONA L JOURNAL OF BIOLOGY AND BIOTECHNOLOGY 14 (1): 41-47, 2017.
44                                                                                            IBRAHIM ZIA ET AL.,
Road network:
    Transportation linkage with the plant and the residential areas is very important in the site selection process
because it’s facilitating the users and workers of plant. Proper road network helps in the construction phase of Plant
which provides ease of material shifting and other logistic requirements.
Coastal depth:
    Water quality is another important factor in the site selection. Karachi waste water is usually discharged into sea
through Malir and Lyari rivers so that the pollution level is on high side along the coastal waters of Karachi. The
Coastal steep depth usually directed toward the rocky bottom has low pollution level as compared to the slope and
sandy beaches. So the water quality is appropiate at that site.
Coastline:
    Karachi coastline is approximately 62 km long which consist of Sandy, rocky and recreational beaches. Karachi
coast has a gentle slope and on the other hand some parts of coast have sudden depths of 3 meters. So on
consideration of depth and quality of water in this model has also been included as one of the parameter.
Reclaim Areas:
     Karachi reclaim areas like DHA Phase 8 , EMMAR projects, crescent bay area’s etc are mostly along Clifton
beach so it can be predicted that Clifton beach area will be developed for residential purpose which will ultimately
increases the demand of fresh water.
RESULTS
      GIS-based map are used to present the model results which are highlighted with all variables in different colors
and shapes scheme (Fig. 3 shows the final map of Model parameters and results). Result presented in the map form
to easily highlight site location and indicates the buffer zones which are calculated by SDSS model (Fig. 4).
      Karachi city has a valuable role in the economics of serving overall population of Pakistan. Recreational
activities and public spot like deluxe and notable beaches for beach -goers who came from all over Pakistan. Real
estate builders after having the desalination plant can plan and strategies the development of new housing schemes
which will have direct and positive effect on the economic growth and as well as quality of life for a common
citizen. Currently, the coastal housing schemes like DHA and Hawks bay housing schemes are facing problems in
fresh water volume and several parts of Coastal communities along Karachi coast have fresh water supply once in a
day from main supply line. Desalination plants along Karachi coast will supports to overcome the deman d especially
coastal communities of Karachi city. We divide the Karachi coast in two parts eastern and western part to explain
results in more detail.
Eastern Part of Karachi Coast
     Eastern part from Karachi Port to EMMAR crescent bay or DHA desalination Plant site is composed of famous
sandy beach named as Clifton sea view beach. From the past few years several housing schemes were planned and
developed along the eastern part of Karachi coast with reclaiming developments. This part of Karachi coast has a
large number of visitors on daily basis because of Sea view beach which is very popular across all over Pakistan.
Malir River falls down near the DHA phase 8 but presently this river has pollution in the form of human and
commercial waste furthermore coas tal depth along the coast is shallow which composed of sandy beach and is
therefore not feasible for desalination process. The end result is the water quality along the eastern part of Karachi
coast is not feasible for setting up desalination plant.
Western Part of Karachi Coast
     Spatial decision support analyses results in large numbers of Suitable site distribution for Desalination Plants
along Karachi coast which are located on western parts of coast, because of a steep slope it is clear that the wa ter
quality is as per the standard requirements of desalination plant. Road network on the western part of coast is
already available so the site construction and utilities availability at desalination plant are accessible. The eastern
part of Karachi coast is comprehensively disturbing in the sense of reclaim activities on the other hand the western
part of the Karachi coast have no reclaim portion.
INTERNATIONA L JOURNAL OF BIOLOGY AND BIOTECHNOLOGY 14 (1): 41-47, 2017.
PROTECTION OF MANGROVES BY SPATIA L DECISIONS SUPPORT SYSTEM                                             45
      Fig. 3. Karachi coast map with weight of major parameters.
      Fig. 4. Final map shows the suitable site location for desalination plants along Karachi coast .
INTERNATIONA L JOURNAL OF BIOLOGY AND BIOTECHNOLOGY 14 (1): 41-47, 2017.
46                                                                                           IBRAHIM ZIA ET AL.,
DISCUSSION
    GIS is one of the applied technologies in all the fields of basic sciences, which has long provided effective
solutions to the integration, visualization, and analysis of information about land, is now being similarly applied to
oceans (Hashim and Hajjaj, 2005). This paper is presenting the choice of desalination plant to overcome the negative
impact of the desalination plants (Crossland et al, 1995). SDSS can play a vital role for planners in all fields of
sciences. It can also use in future urbanization along Karachi coast. Fresh water deficiency will be overcome in
coastal housing scheme with the improvements in quality life will along Karac hi coastal communities. Karachi
coastal tourism will be enhanced and socio-economic benefits will upswing.
Conclusions
    Mangroves are vital for the maintenance of coastal environment. Communities are dependent upon resources
produced and sustained by these dynamic ecosystems. The SDSS model is used to minimize the harmful
consequences of desalination plant by deciding the ideal sites to keep the natural marine life. Mangroves of Karachi
provide not only protection to the coast but also deliver necessaries for the marine animal species therefore their
growth in unpolluted clean environment is essential.
Acknowledgment
   1. National Institute of Oceanography Pakistan, NODC arranges Bathymetry and Pollution data (Malir river
       site) for Karachi coastal water. Google Earth Road network spatial data is use for Road network parameter.
       GCP (ground controlling points) for Road Network and coastline are collects using GARMIN GPS.
   2. The authors are thankful to Dr Reuben Reyes University of Oklahoma, USA for his valuable sugg estions
       and generous encouragement.
   3. The authors are also grateful to the prof. Dr Syed Shahid Shaukat for his critical review of the manuscript.
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                                  (Accepted for publication December 2016)
INTERNATIONA L JOURNAL OF BIOLOGY AND BIOTECHNOLOGY 14 (1): 41-47, 2017.