Considering the fact that the supply and demand of ecosystem services may be geographically different, therefore, the management of this spatial heterogeneity requires the evaluation and zoning of ecosystem services in the form of spatial maps. Accordingly, in the present study, the spatial distribution of ecosystem services in the mangrove forests of Khamir and Qeshm was evaluated and zoned. According to the results in this area, cultural services have the most points among the available services due to the high entertainment value. Therefore, among the examined criteria, leisure and nature tourism have more demand for spending leisure time and tourism due to its pristine landscapes, aesthetic values, education, recreation, etc. Likewise, among provisioning ‎ecosystem services, traditional fishing (Moshta) is scattered in most areas of this region within the main tributaries and estuaries and has the largest supply in the area.  This ecosystem service is important among the residents of the area, the reasons for which are the livelihood and economic dependence of the local people on this service. Finally, the prioritization of ecosystem services distribution in the studied areas demonstrated that the most services offered and with the highest priority in the area are related to cultural services. In this service, the highest priority is also given to the standard of recreation and nature tourism on the high class, and other services, including aesthetics, sense of place, heritage value, spiritual and religious value, education, and inspiration, are placed in the next priorities. Accordingly, zones that have a high density of mangrove habitats also have a high supply of cultural services. Therefore, examining the spatial distribution of ecosystem services through the evaluation and zoning of these valuable resources can help to correct the plan and protection of natural ecosystems to meet human needs.

The location of sanitary landfills is one of the most important environmental issues in cities. If the design of landfills is not appropriate, it will threaten human health. The aim of the current research is to locate waste burial using geographic information system in the city of Bam, this research is applied in terms of its purpose and its method is descriptive-analytical. Based on this, the effective criteria in the location of Bam's landfill were identified, prepared and standardized. Then by digitizing and weighting 8 layers based on the existing standards, including: topography, geology, slope, fault, waterways, communication lines and distance from the city, and importing the mentioned layers into the software environment and forming special burial databases. Waste and implementation of various analytical multi-criteria decision-making models on the existing layers. According to the layers used and the final map obtained, the studied area was classified in the form of four classes: very suitable, suitable, unsuitable and very unsuitable, and it was determined that the most optimal waste burial space is in the southeast of the region, and the least optimal space is in the northwest of the city. There is. The issue of waste management, or beyond that, material cycle management, is one of the main and very important axes of sustainable development today. Therefore, it is necessary to put the necessary infrastructures for the best possible management of urban waste, which has not yet been done and requires proper management and implementation of economic plans.

Since comprehensiveness and integration of development can promise efficient use of the region's potential and improvement of living conditions; Therefore, the current research has aimed to analyze the pattern of integrated regional development at the level of Gilan province. In this context, based on contextual theory, the type of response to this objective was qualitative and based on documentary studies and in-depth interviews with 20 provincial experts including (policy-making, scientific and academic experts, private and government sector). Then, by using MAXQDA software as an effective tool in qualitative data analysis, open and central codes were extracted, and finally, selective coding was done using the potentials of the region and the opinion of elites. The findings and results from the comparison of the components of the desired model show that the key categories in the documentation-field dimension in the sections of causal conditions, focal core, strategies, and consequences, respectively, include cases of lack of synergy and integration of process and product, lack of perspective. Wide and extrapolated from the long-term development of the region, the sector-oriented model with a minimal approach to the place and space of development, the transformation of the spatial organization of the regional system. Also, in the ideological-theoretical dimension, the most important categories in the four sections, respectively, include things such as emphasis on the structure and pattern of decision-making (planning, policy-making, and management), political-territorial-organizational and departmental integration, the necessity of changing social and institutional management and Finally, regional organizations have been recognized as the main actors in coordination for the implementation, follow-up, and review of the sustainable development process. In addition, the relationship between abstract and operational dimensions has shown coordination and alignment in the causal and phenomenon parts and a lack of direct alignment in the strategy and consequence parts. For this purpose, suggestions such as the need to separate propositions and components by sector, territory (spatial areas), the need to rewrite and explain previously repeated codes, review the determination of priorities, real attention to attention to the integration between sectors, territories, Institutions and... have been considered.

The purpose of this research is to select temporary accommodation centers after the earthquake crisis to meet the needs of the victims. Therefore, this research has tried to identify temporary accommodation sites in District 22 of Tehran with the help of effective criteria. The required data has been obtained from the Tehran Disaster Mitigation and Management Organization and the results of the general population and housing census of 2017. The novelty of this research is to present a new combination approach to determine the effective criteria for locating temporary shelter sites. In this regard, the combination of geographically weighted regression (Gaussian and tri-cube kernels) with a binary particle swarm optimization algorithm was used. The recommended combination method is suitable for spatial regression problems because it is compatible with two unique properties of spatial data, i.e. spatial autocorrelation and spatial non-stationarity. The best value of the fitness function (1-R2) for Gaussian and tri-cube kernels was obtained at 0.04616 and 0.0097, respectively, which indicates the high compatibility of the tri-cube kernel with effective criteria. According to the obtained maps, Chitgar Park and Azadi Sports Complex are some of the widest and most suitable areas for the construction of temporary shelter sites after the earthquake crisis in the case study. By identifying temporary shelters, relevant organizations can provide the appropriate infrastructure for these selected centers so that there is no need to spend time to provide these services in the event of an earthquake.