TOWN AND COUNTRY PLANNING
Year:2011 | Volume:3 | Issue:4|Papers Count:7

Today, the development of agricultural industries, especially small and efficient agricultural sector has been paid more attention. The development of rural industries in the country led to job creation and absorption of surplus labor force in agriculture and also resulted in more exports and foreign exchange. This paper evaluates development indicators of process industries and accesses to regional inequalities in the cities of Isfahan province. The research method is descriptive analytical. This paper tries to examine the process industries associated with agriculture in Isfahan province. Therefore, statistical data was collected and processed by SPSS and Arc View. The status of Isfahan process industries was analyzed using PIDI (Process industry development index) in order to grade the city industries conditions so that we can propose more desirable planning for optimal process industries and the processing of agricultural products. The results show that the eastern cities of the province are disadvantaged in terms of this index and are considered as the first priority in order to develop appropriate measures. The second level includes western and southern cities that are the second priority for the development. Last level of development has been drawn linearly from North-West to South- East and the final priority is allocated to this level.

Various industrial processes with a huge variety of products, materials and compounds create different kinds of pollution for human beings, so that the identification of environmental pollutants resulting from industrial units' activities, especially in water resources seems necessary. The aim of this paper is to estimate the role of industrial units in contaminating water resources, through using pollution index in the effective area on Sabzevar water resources and ranking them according to their level of contamination. The research method in this paper is descriptive-analytical, and the research data is collected using methods of field data collection. In this study, because of the abundant existence of nitrogen pollutants in water resources in the region we tried to use the burden of nitrogen emission to estimate the volume of industrial pollution. The findings showed that pollution brunt resulting from industrial units of the area on nitrogen in 2008 is equal to twenty three tones, in which leather production units, with approximately forty five percent had the greatest role. According to the findings, waste separation plan of industrial wastewater from municipal as well as establishment of refinery networks which operate wastewater collection and treatment separately in industrial units in the range of Sabzevar, industrial zones and other industries in the studied area has been proposed.

Zagros forests are a treasure of various valuable species of oak in Iran and the world. Long-term misuse in the past has caused severe degradation in the Zagros forests. Recently these forests have become national but misuses by local people to make living because of poverty and unemployment are continued. In order to reduce degradation and improve sustainability, ecological capability for extensive ecotourism was assessed using multi-criteria decision making (MCDM), geographic information system (GIS) & remote sensing (RS) in 9150 hectare of Baneh forests. The ecological criteria and sub-criteria affecting the evaluation were selected based on the literature and expert choice. The criteria and sub-criteria were weighted using the analytical hierarchy process (AHP). Sub-criteria were mapped on 1:50000 scale using available maps, field work and IRS-P6 satellite data. Then sub-criteria maps were classified and classes were scored according to literature review and expert judgments. An extensive ecotourism priority map was created using GIS-based weighted linear combination (WLC) model by MCE analysis. The most important criteria of extensive ecotourism in study area were water resources, landscape and climate. Of the whole area, 450, 7883 & 817 hectare were in 1, 2 & 3 priorities. According to compatibility of extensive ecotourism with present land uses, it can exist in the whole parts of study area ecologically. In addition, this study demonstrated the potentiality of integrating MCDM, GIS and RS techniques for resource allocation in ecotourism planning.

Today, the knowledge of regions’ strong and weak points and the existing gaps between regions is necessary for better planning and programming to deal with them. Using such indexes as economic, sociologic, cultural, sanitary and other indexes which can be good criteria for the position and place determination of these quotients, is the main solving problem factor to achieve economic welfare, sociologic health in assessing stable development. That is the more careful this process is the more effectiveness is expected.Thus in this study three methods of numerical taxonomy, factor analysis and fuzzy logic have been used for the identification of Khuzestan province counties development ranking in 1379 and in 1386. Besides this ranking, comparative analysis of these methods has been done.Results show that the development opportunities of many counties in this province in 1386 compared to 1379 have been destroyed. Results also indicate that condense variability in numerical taxonomy is less than the two other methods. In fact, this method stands between the two methods in the ranking. Perhaps the difference in multiplier is due to standardization which can omit many clustering aspects of criteria. Indeed, it seems that fuzzy logic ranking is more reliable.

Land cover mapping is important for many planning and management activities. Today, satellite images and remote sensing techniques are extensively used in all sectors including agriculture and natural resources because they provide updated data and high analyzing abilities. In this study, in order to produce land cover map for the northern part of Hamedan province , digital satellite data IRSP6 ( Awifs time series data) were used. First, satellite image geometric correction with a mean square error of less than 0.48 pixels was applied. For image classification, the method of fuzzy classification was used. Finally, the land cover map of the study region was classified into thirteen classes. To assess the classified land cover map precision it was controlled for ground truths with a GPS. Kappa coefficient and overall classification accuracy of fuzzy classification were estimated 86 and 88 percent respectively. The results confirmed that the fuzzy clofifier was capable to generate land cover maps and cultivation pattern with high accuracy.

In the early years, the rising of the sea level, which is a part of natural treatment, destroyed many buildings, arable lands, residential and commercial areas. It seems that the main reason of these destructions is the diminishing of the legal setback efficiency and the proceeding of human activities. The aim of this study is to introduce the appropriate setback for southern coast of Caspian Sea (Gilan province) on the basis of critical levels of Caspian Sea and the results of coastal vulnerability regarding sea level rise. This setback is composed of two parts, vertical buffer and horizontal buffer. In this study, CVI method (coastal vulnerability index) was used for coastal vulnerability assessment. In this method, five variables were employed as in two sub-indexes, natural and human-induced subindexes. The final map is divided into four categories, from low to very high vulnerability. Finally the mean distance from the very high vulnerability category to vertical buffer boundary in every district is introduced as the horizontal buffer.

Gel Sefid village is in Mashayekh village in central part of Ardal city of Chahar Mahal and Bakhtiari province. In the research, QuickBird satellite image in Google Earth software was used to introduce the landscape of this village and to recognize the whole human uses and natural spots in the study area. Then the resulting map was transferred to ArcGIS 3.1 software and the area land use map was prepared after necessary processes in the software. In addition to the primary harvested polygons for providing the training samples area, field visit once again was accomplished and all the harvested complications were controlled to estimate the accuracy of the harvested complications. Therefore, all the layers were transferred to GPS and all the harvested complications were controlled by referring to the field. In the next step, to analyze the landscape of the study area, Frag Stats software and NP, CA, PERIM, MNN and SHAPE metrics were used. Results showed that local people have created the different uses in the region during consecutive years. The natural bed of area has been forest that the existence of human-made patches such as village, mining, sand workshops, roads and petrochemical pipes have caused the marginal area to face the critical level of danger and have caused the loss of biodiversity in this region. Therefore, the area preservation with the participation of local people should be the priority of programs to prevent the further damages to the area.