مکانیابی صنایع با استفاده از روش های ارزیابی چندمعیاره در شهرستان گلپایگان

مکان‌یابی مناطق صنعتی یکی از عوامل کلیدی در برنامه‌ریزی پایدار منطقه‌ای با توجه به اثرات محیط‌زیستی مختلف صنایع می‌باشد. با توجه به رشد مناطق صنعتی و وجود معادن متعدد در شهرستان گلپایگان  لزوم مکان‌یابی صنایع با توجه به ضوابط و استانداردهای محیط‌زیستی ضروری است. بنابراین در مطالعه حاضر به‌منظور مکان‌یابی صنایع در شهرستان گلپایگان از تلفیق روش تحلیل سلسله مراتبی و ارزیابی چندمعیاره و بررسی 24 معیار استفاده شد. مهم‌ترین معیارهای موثر در فرآیند ارزیابی توان صنعتی منطقه شامل فاصله از پناهگاه حیات‌وحش موته، فاصله از گسل‌ها، فاصله از چاه‌ها و فاصله از جاده‌ها بود. لایه‌های اطلاعاتی پس از تهیه‌ با استفاده از روش‌های منطق بولین، روی‌هم‌گذاری فازی، روش وزن‌دهی و ترکیب خطی‌وزنی تلفیق گردید و نقشه‌ی نهایی ارزیابی توان اکولوژیک منطقه در محیط gis  تهیه شد. نتایج تحقیق نشان داد که در روش منطق بولین، 2783 هکتار از منطقه برای توسعه‌ی صنعتی مناسب می‌باشد. در روش روی‌هم‌گذاری فازی 1769 هکتار از منطقه و در روش ترکیب خطی‌وزنی 1902 هکتار و در روش وزن‌دهی 1758 هکتار از منطقه برای توسعه‌ی صنعتی در طبقات خوب تا عالی قرار گرفتند. با توجه به نتایج می‌توان گفت روش ترکیب خطی‌وزنی و وزن‌دهی موثرتر از روش‌های بولین و روی‌هم‌گذاری فازی است. نتایج کلی بیانگر این است که در کلیه‌ی مدل‌ها مناطق مناسب توسعه‌ی صنعتی در محدوده‌ی جنوب‌شرقی منطقه قرار دارد و به این معناست که در سیاست‌گذاری‌ها، برنامه‌ریزی و سرمایه‌گذاری‌های آینده برای توسعه‌ی صنعتی منطقه با درنظر گرفتن آمایش سرزمین این مناطق در اولویت قرار گیرند. با توجه به تمرکز فعالیت‌های کشاورزی در منطقه‌ی گلپایگان و ظرفیت‌های بی‌شمار آن در زمینه‌ی گردشگری، توسعه‌ی صنایع تبدیلی کشاورزی و صنایع مرتبط با توسعه‌ی گردشگری و اکوتوریسم در محدوده‌های مجاز پیش‌بینی شده، می‌توانند به‌عنوان اولویت‌های توسعه‌ی منطقه، مورد توجه قرار گیرد.

Industrial site selection using multi criteria evaluation methods in Golpayegan County

Extended AbstractIntroductionIndustrial and economic developmentalong with population growth and increased exploitation of natural resources may upset the environmental balance. Inappropriate land use, along withpollution and destruction of natural resources are considered to be serious problems caused by environmental imbalance in many parts of the world. These problems indicate the limited capacity of environment to resist human exploitation of land.Industrial site selectionis considered to be one of the key factors in sustainable regional planning due to the different environmental impacts of industries. Because of the developmentin industrial areas and the existence of numerous mines in GolpayeganCounty, it is necessary to optimize industrialsite selection in accordance with environmental standards and regulations. Therefore, the present studyintegrates hierarchical analysis with multicriteria evaluation methods to investigate 24 different criteria with the aim ofoptimizing industrial site selection in accordance withenvironmental standards and regulations in GolpayeganCounty. Materials and methodsIn accordance with the rules and regulations of setting up industrial and manufacturing units and similar studies,the conceptual model of Golpayegan county site selection was prepared based on three criteria: physical, biological and socioeconomical. Followingthe preparation ofinformation layer for each criterion, spatial analysis ofEuclidean Distance was performed for each of them.Then, information layers produced in the previous steps were standardized using Boolean and fuzzy logic. The integration and overlapping in Boolean method was performed using AND logic.At this stage, all the information layers were entered into TerrSet software and standardized using fuzzy model and membership functions of the software’sfuzzy sets. The real scale (from 0 to 1) was used in this study to determine the membership function.Higher membership value in this range indicates higher utility while lower membership value indicates lower utility. In the present study, AND operator was used to integrate maps.Hierarchical analysis was used to determine the weight of each factor. Afterwards, the maps were integrated using fuzzy overlay method, weighted sum model and weighted linear combination (WLC) method. In this way, a map was produced for the industrial park site selection. Then according to the histogram curve and its breakpoints and also according to the environmental conditions of the region, it was classified into 5 classes. Results and DiscussionAn inconsistency rate of 0.04 was calculated in the present study to evaluate the accuracy of judgments made about the weight of the criteria and subcriteria.Distance from Mouteh Wildlife Refuge, distance from faults, distance from wells and distance from roadswere identified as the most important criteria for assessing the industrial capacity of the region.Maps produced using the Boolean method include two classes of 0 and 1,the valuesin the fuzzy overlay, weighted sum and weighted linear combination methods rangebetween 0 and 1, while they range between 0 and 0.7 in the weighted sum method and between 0 and 0.8 in the weighted Linear combinations method.2783.5 hectares of the study area have the potential of serving as industrial sites based on the Boolean method, indicating that 1.7% of the study area is suitable for industrial construction. Combining moderate, good and highlysuitable classes using fuzzy overlay method showed that 1769.13 hectares or 1.1% of Golpayeganregionare suitable for industrial site construction. Combining good and highlysuitable classes usingweighted sum method showed that 1758.77 hectares or 1.09% of Golpayeganregionare suitable for industrial site construction. Combining good and highlysuitable classes using weighted linear combination method showed that 1902.78 hectares or 1.18% of Golpayeganregionaresuitable for industrial site construction. No matter which method is used, suitable areas for industrial site constructionare located in the southeastern region of the County and in vicinity of the main road. ConclusionComparing the results of the present study with similar studies indicates that the Boolean logic finds the least number of suitable areas for industrial park construction and its selected areas must have an appropriate score in all evaluation criteria.Findings indicated that due to the specific characteristicsof the Analytical Hierarchy Process, this method can be useful in the investigation of regional planning issues.It can be concluded that Weighted Sumand WLC are more effective than Boolean and fuzzy overlay methods.Results indicate that all four models located landssuitable for industrial development in the southeastern areas of ​​the County and in vicinity ofits main road, thus these areas should be prioritizedin future planning, policy making and investment for industrial development. Furthermore, given the concentration of agricultural activities in GolpayeganCounty and its numerous tourism capacities, the development of agricultural conversion industries and ecotourism related industries within the predicted authorized areas can be considered as priorities of regional development.Nowadays, sustainable economic development in most countries depends on industrial development. Sustainable development of industries creates more opportunities for social and economic growth. Sinceappropriate site selection for industrial parksharmonize the goals of economic development with the goals of urban development, economic enterprises and environmental objectives, it is considered to be a step toward sustainable development. Achieving such a goal requires a revision of the site selection criteria in accordance with the sustainable development indicators. This increases national and local employment rate and accelerates industrial growth without damaging the environment..