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V. Jain et al.
Hanumangarh, Jaisalmer, Jodhpur and Sriganganagar. The IGCP has improved the
situation in and around these districts to some extent but the issue of water scarcity
still persists in other districts of Rajasthan. Water pipeline transport from Indira
Gandhi Canal to other districts can be considered as a viable solution to improve the
water paucity situation of the state.
This paper is an attempt to study the feasibility of water pipeline routing from the
Indira Gandhi Canal in Hanumangarh District to Jhunjhunu District and determine
the most optimal pipeline route (PR). Determination of the optimal route for pipeline
placement using GIS is an area of research as connected technologies continues to
change, data accessibility improves and the criteria are not same for such projects.
Abudu and Williams used a GIS-based methodology for formative a best possible
pipeline route that integrates multi-criteria evaluation and least cost path analysis [1].
Yildirim and Yomralioglu developed a decision support model to determine natural
gas transmission line route using GIS and analytic hierarchy process (AHP) [2].
Another study conducted by Iqbal et al. involved planning a least cost gas pipeline
route using an integrated approach comprising GIS and simple decision support
system (SDSS) [3]. Delavar and Naghibi developed a model using GIS incorporating
pipeline length, land use, wetland, road, stream, geography, terrain and a railroad
crossing to identify a least cost pathway [4]. Malakahmad et al. investigated solid
waste collection routes optimization using GIS in Ipoh City, Malaysia [5]. Balogun
et al. employed the spatial analyst tool of ArcGIS for analysis and interpretation
to determine an optimal oil pipeline route in Malaysia’s oil-rich Baram Field [6].
Americo Gamarra developed a model to define the best route for a future pipeline in
the south of Peru, which would start from Amazon forest, cross the Andes Mountains
and arrive at Pacific coast [7]. Another study done by Bagli et al. developed an
approach based on the integration of multi-criteria evaluation (MCE) and least cost
path analysis using GIS to identify the most suitable route for a 132-kV power line
[8]. Effat and Hassan carried out the evaluation of three highway routes using the
analytic hierarchy process (AHP) and the least cost path analysis in Sinai Peninsula,
Egypt [9]. Akbari et al. integrated multi-criteria evaluation (MCE-GIS) and fuzzy
logic to evaluate land suitability for spatial planning in arid regions of eastern Iran
[10]. All these studies used multi-criterion approach for defined paths, i.e. mostly in
vector form. Different weightages were given for the different factors. These factors
depend on the problem in hand. However, for unknown places, like new project,
various barriers may come in and through the crow distance is minimum but the total
cost be higher. In the present method, unsupervised classification is done to remove
very high cost pixels. In our study, after removing the high cost pixels, we are using
the weighted overlay method to find the cost surface and using least cost path tools
of ArcGIS [11] the optimal pipeline route is determined.
V. Jain et al.
Hanumangarh, Jaisalmer, Jodhpur and Sriganganagar. The IGCP has improved the
situation in and around these districts to some extent but the issue of water scarcity
still persists in other districts of Rajasthan. Water pipeline transport from Indira
Gandhi Canal to other districts can be considered as a viable solution to improve the
water paucity situation of the state.
This paper is an attempt to study the feasibility of water pipeline routing from the
Indira Gandhi Canal in Hanumangarh District to Jhunjhunu District and determine
the most optimal pipeline route (PR). Determination of the optimal route for pipeline
placement using GIS is an area of research as connected technologies continues to
change, data accessibility improves and the criteria are not same for such projects.
Abudu and Williams used a GIS-based methodology for formative a best possible
pipeline route that integrates multi-criteria evaluation and least cost path analysis [1].
Yildirim and Yomralioglu developed a decision support model to determine natural
gas transmission line route using GIS and analytic hierarchy process (AHP) [2].
Another study conducted by Iqbal et al. involved planning a least cost gas pipeline
route using an integrated approach comprising GIS and simple decision support
system (SDSS) [3]. Delavar and Naghibi developed a model using GIS incorporating
pipeline length, land use, wetland, road, stream, geography, terrain and a railroad
crossing to identify a least cost pathway [4]. Malakahmad et al. investigated solid
waste collection routes optimization using GIS in Ipoh City, Malaysia [5]. Balogun
et al. employed the spatial analyst tool of ArcGIS for analysis and interpretation
to determine an optimal oil pipeline route in Malaysia’s oil-rich Baram Field [6].
Americo Gamarra developed a model to define the best route for a future pipeline in
the south of Peru, which would start from Amazon forest, cross the Andes Mountains
and arrive at Pacific coast [7]. Another study done by Bagli et al. developed an
approach based on the integration of multi-criteria evaluation (MCE) and least cost
path analysis using GIS to identify the most suitable route for a 132-kV power line
[8]. Effat and Hassan carried out the evaluation of three highway routes using the
analytic hierarchy process (AHP) and the least cost path analysis in Sinai Peninsula,
Egypt [9]. Akbari et al. integrated multi-criteria evaluation (MCE-GIS) and fuzzy
logic to evaluate land suitability for spatial planning in arid regions of eastern Iran
[10]. All these studies used multi-criterion approach for defined paths, i.e. mostly in
vector form. Different weightages were given for the different factors. These factors
depend on the problem in hand. However, for unknown places, like new project,
various barriers may come in and through the crow distance is minimum but the total
cost be higher. In the present method, unsupervised classification is done to remove
very high cost pixels. In our study, after removing the high cost pixels, we are using
the weighted overlay method to find the cost surface and using least cost path tools
of ArcGIS [11] the optimal pipeline route is determined.