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Research Detail

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Mohammed Aminul Ahesan
School of Humanities, Universiti Sains Malaysia, Penang, Malaysia

Tarmiji Bin Masron
School of Humanities, Universiti Sains Malaysia, Penang, Malaysia

Determining the optimum locations for automatic rice mills is a critical and complex decision for investors. This decision is an important one because it affects both environmental and financial aspects. This research paper aims to determine optimal sites for setting automatic rice mills in Joypurhat district of Bangladesh considering environmental factors, pre-requisites for running rice mills and paddy production volume in the locality. In the first step the criteria for rice mill site selection are defined and 25 numbers of candidate sites are determined through running a cartographic model, designed for this specific purpose. In the second step 10 numbers of optimal sites are detected amongst the candidate sites by using location-allocation approach.

  Automatic Rice Mill; Cartographic Model; Location-Allocation Approach; Site Selection
  Joypurhat District, Bangladesh
  
  
  Socio-economic and Policy
  GIS

Objective of this study was to observe the suitability of GIS application to determine suitable sites for automatic rice mills in Joypurhat District, Bangladesh.

Methodology:  By using Spatial Analyst extension, a model is prepared for finding suitable candidate sites. Then by applying location-allocation approach and considering the production volume of paddy as the weight of demand points, optimal sites are detected for automatic rice mills. The Study Area: This study was conducted in the district of Joypurhat having an area of 965 square km. It is a paddy surplus district having both normal husking mills and automatic rice mills. Site Selection Process: The formation of the GIS model to find suitable site for sitting new automatic rice mills is done through the following steps 1) Capturing the areas which fulfill the basic requirements to set up an automatic rice mill through consideration of adjacency to the metalloids roads and electricity feeder lines. 2) Exclusion of the restricted areas, such as water bodies, minimum distance buffer from the residential areas, from the rivers, from roads and railways which are unsuitable for sitting automatic rice mills. 3) Selecting suitable candidate sites by extracting polygons from the suitable areas having the minimum land area required for setting up an automatic rice mill. Evaluation criteria that are used in this study for site selection purpose are distance from roads and railways, distance from residential areas, distance from rivers, distance from water bodies and distance from electricity supply line or feeder line. These criteria are categorized as favouring conditions or mandatory facilities and restrictions. Constraints or Restrictions There are some strong restrictions for selecting sites for setting up a rice mill in any area. Obviously the distance from the residential areas is the vital most. Central Pollution Control Board of India gives direction to maintain a minimum distance of 1Km from the residential areas. Most of the respondents in the study area also agreed with this minimum distance. Another restriction is to maintain minimum distance from different roads. Central Pollution Control Board of India directs to keep rice mills at least 100m far from National High Ways, 50m far from State Highways and 25m far from Village Roads. Many of the respondents i.e. rice mill owners want to set up the mills within 100m distance from metalled roads. As only a small portion of the metalled roads in the study area are National High Way, the minimum distance of 50m from the roads is maintained for this study. The standards for setting up rice mills in India can be followed for this study easily. A good majority of respondents think that a minimum distance of 100m should be maintained from rivers for setting up an automatic rice mill in order to avoid the risk of landslide or flash flooding. Water bodies, other than rivers are also unsuitable for the site. For safety purpose a small distance of only 10m is maintained from the water bodies. As certain sphere of land is owned by railway authority round the rail tracks, there should a clearance of distance from the railways. It may be 100m in both the sides. The entire study area is almost flat and there are no such hills or forests. It is mainly an agriculture based locality and residential areas are scattered almost all over the district. As like the whole country the study area is much populous and the settlement areas are close to one another. It becomes really very difficult to maintain the required minimum distance from all the settlement areas. In fact after creating a buffer of 1000m around each settlement area and imposing restriction on those areas, their remains almost no suitable land surface for selecting a site. Only one suitable candidate site could be found if 1000m distance would be maintained from all the settlement areas. There would be no optimal site for setting up automatic mills in the study area if a restriction 1000m distance would be maintained from all the settlement areas.

  International Journal of Advanced Remote Sensing and GIS, 2015, Volume 4, Issue 1, pp. 883-894, Article ID Tech-355 ISSN 2320 - 0243
  file:///C:/Users/barc/Downloads/355-1179-1-PB.pdf
Funding Source:
1.   Budget:  
  

The model constructed in this study can be applied for selecting sites for different industrial purposes also with necessary adjustments i.e. adding or dropping some criteria. The input criteria maps and conditions in each tool can easily be changed in the model and result can be obtained as per requirement. So based on this study future researchers can look for those important criteria for finding suitable sites other agricultural product processing plants or polluting industries. Suitable or optimal sites with ranking can be selected by using Weighted Linear Combination (WLC) through raster based spatial analysis directly. But assigning weight for different criteria is always a difficult task and very often insignificant for some parameters. Here in this study first suitable sites are found through spatial analyst model. From these suitable sites optimal sites can be identified by location- allocation technique in different approaches, for meeting needs of different aspects.

  Journal
  


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