Kia Bozorgmehr; Sayed Yasser hakimdust Hakimdust; Ali Mohammadpourzeidi
Volume 7, Issue 14 , November 2016, , Pages 25-38
Abstract
Tonekabon has 13 pluviometry stations as well as one climatological station which is inactive. Due to the distance of the city with existing synoptic stations and with regard to the area of the city, it is attempted to position a new synoptic station so as to both resolve the problem with the distance ...
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Tonekabon has 13 pluviometry stations as well as one climatological station which is inactive. Due to the distance of the city with existing synoptic stations and with regard to the area of the city, it is attempted to position a new synoptic station so as to both resolve the problem with the distance between the stations available and also to use the new station data for climate studies as well as urban planning and construction. This research was practical with an analysis-combination approach. In order to analyze the data , graphic-based software’s ARC GIS10 and statistical -besd PASW & Choise Expert, is used. Additionally, in order to integrate and extract effective weights in the positioning operation, the models of analytic hierarchy process (AHP), weighted overlap, and fuzzy logic were used. The results of the study showed that due to the combination of seven factors with weighted overlap model as well as using the AHP model, 81/6 square kilometers of the area under study had great potential to be suitable for the construction of synoptic stations, which was mainly concentrated in the north part of the city. Moreover, about%38 of the city area had such capability. The results obtained from the combination of factor maps with the fuzzy model introduced that half square kilometers of the city area had the right capabilities to construct synoptic stations. Regarding the comparison of the two final maps, the fuzzy model due to its higher flexibility than the weighted overlap model was introduced as the optimum model for prioritizing the city to build synoptic stations.
GIS
Sayed Ali Alavi; Mohaddese Moazezbarabadi; Asadollah Divsalar; Behbod Jafari
Volume 7, Issue 13 , June 2016, , Pages 9-18
Abstract
Achieving the balance between the spatial distribution of resources and services in urban areas is one of the main objectives of the government. District 7 in Mashhad with a population of about 220000 people and an area of 5200 hectares is one of the most crowded urban areas of Mashhad. CNG fuel station ...
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Achieving the balance between the spatial distribution of resources and services in urban areas is one of the main objectives of the government. District 7 in Mashhad with a population of about 220000 people and an area of 5200 hectares is one of the most crowded urban areas of Mashhad. CNG fuel station network is the key component of the network utilities acted as a supplier of fuel for transportation within the city, which is important in terms of traffic considerations, urban development, safety, and the environment. This study aims to locate CNG fuel station in District 7 in Mashhad and also utilizes the methods based on GIS and fuzzy logic. In order to implement fuzzy operators in GIS environment, the effective criteria including access to main thoroughfares, centers with high population density, green space, commercial land use, distance from residential land use, educational land use, and distance from existing stations were all first extracted and entered into the GIS environment. In the next step, the fuzzy membership value for each parameter (fuzzication) was determined. Next, the weighted layers were put together, and finally the most appropriate area was shown on the final map. The results showed that the southern and southeastern areas lacked fuel stations and had priority for the construction of new stations in the area.
