@article{ author = {Azmoon, Amir and Fasihi, Habibollah and Sasanpour, Farzaneh and Parizadi, Taher and Shamaei, Ali}, title = {Analysis of the indicators of environment approaching to the right to a healthy environment (Case study: District 20 of Tehran Municipality)}, abstract ={Human health depends on living in a healthy environment. Various factors determine environmental health, which should be explored to be able to improve them. The purpose of this research is to analyze the factors affecting the health level of urban environment in district 20 of Tehran municipality and to find out their spatial inequality. This is a descriptive-analytical research based on documentary data of 6 indicators and survey data of 26 indicators. For the analysis, various tools of the GIS, especially the spatial analysis tool of Interpolation, are used. Quantitative analyzes are carried out by calculating statistical parameters in attribute tables. Findings show that the score of 2.29 out of 5 in the evaluation range of 1 to 5, indicates a poor situation of environmental health. Higher weakness belongs to the 6 indicators of the economic dimension including saving, sufficient income for buying cultural goods or going to recreational journeys, and residential home per capita. Access to urban parks and green spaces with scores of 4.55 and 3.43 respectively, show a superiority compared to other indicators. In the outskirts, the environmental health condition is much weaker than in the interior areas. Despite the vastness of worn-out fabric and informal constructions and abandoned spaces, what is more effective are the impacts of external factors, 3 sides of the district are limited to fringe lands, where the establishment of polluting industries, the passage of sewage canals and the replacement of foreign and the population involved in informal and illegal jobs are affected the health level of the urban environment.  }, Keywords = {Environment, Spatial analysis, Tehran’s District 20 municipality, Urban health}, volume = {11}, Number = {4}, pages = {1-14}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.11.4.7}, url = {http://jsaeh.khu.ac.ir/article-1-3468-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3468-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2025} } @article{ author = {NazimRazavi, seyed Mohamad and SaeediRezvani, Navid and Rashtian, Seyyed Mohamm}, title = {Review of the role of urban governance and creativity in order to regenerate and reduce the risks of worn-out tissues in Semnan}, abstract ={The old textures of Semnan are part of the body and body of this city and It has physical, functional, economic and cultural values ​​that with capabilities and talents potential, is considered a national capital. This body and structure are exposed to fundamental threats and requires the diagnosis of issues, challenges and their organization to prevent risks. The research pattern in terms of purpose, cognitive-evaluation; In terms of method, documentary - Library and field; In terms of time, sectional and in terms of data type, quantitative-qualitative. To determine the The sample size of the Cochran formula was used and 380 cases were determined as the final sample size for the research They were determined and the method of selecting respondents from among the residents of the studied area, with a sample The sampling was done randomly. Analyzes are done in the Spss environment and from Statistical tests such as; T-test, Friedman and numerical taxonomy for analysis has been used. The result of the one-sample T-test showed that the variables of good urban governance, in A level of less than 05/0 is significant and has an average situation in the worn-out fabric of Semnan city. Also The result of the test confirmed that the best situation is related to the axis of justice index with an average The rank was 24/4. The result of the test also It showed that the condition of worn-out tissue regeneration is weak. The results of the Friedman test also showed that there is a significant difference between the rank of variables. Based on the average ranks, the security variable with an average of 4.997 was in First place, followed by education, economy, health, culture, urban services and sports, respectively They were placed. Also The results of the analysis for 27 indicators show that the values Social and human development have the highest averages. Indicators related to identity Historical, internal development and health have also performed well. In contrast, public participation It has had the weakest performance. Most indicators such as accountability, Identity, attachment, interaction, income and infrastructure are at a medium to high level.  }, Keywords = {Keywords: urban governance, regeneration, Friedman test, justice axis, worn-out fabric of Semnan}, volume = {11}, Number = {4}, pages = {15-28}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.11.4.8}, url = {http://jsaeh.khu.ac.ir/article-1-3480-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3480-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2025} } @article{ author = {yarihesar, Arastoo and heidarysarban, Vakil and Imani, Bahram and sarani, samaneh}, title = {Evaluating the effects of social capital on socio-economic indicators affecting the reduction of vulnerability from the spread of covid-19 in the border villages of Sistan}, abstract ={he spread of Covid-19 in the rural areas of the country has caused more dangers due to the common rural cultures, and the ignorance and lack of efficient management of this crisis in the villages has caused irreparable consequences for these areas. In such cases, the existence of social capital can be very vital in creating national consensus and successful policies to pass this critical stage. Leading research is applied in terms of purpose and based on descriptive-analytical nature. To determine the sample size of villagers, using Cochran's formula, from the total of 6903 households in sample villages, 362 households were calculated as sample households to complete the questionnaire. In order to investigate the effects of social capital on economic and social indicators that are effective in reducing the vulnerability of the outbreak of Covid-19 in the border villages of Sistan, a wide range of indicators was determined, and from the one-sample T-test and the analysis of variance of the regression model to measure the The evaluation of the effects of social capital on socio-economic indicators effective in reducing the vulnerability of the outbreak of Covid-19 in the border villages of Sistan was used. The results of the research showed that the higher the level of people's participation and their trust towards each other, the higher the level of responsibility and knowledge of people, it has a positive role and effect on social and economic indicators in order to reduce the vulnerability of the spread of the covid disease. has had 19  }, Keywords = {Keywords: Covid-19, social capital, economic, social, Sistan.}, volume = {11}, Number = {4}, pages = {29-44}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.11.4.1}, url = {http://jsaeh.khu.ac.ir/article-1-3424-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3424-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2025} } @article{ author = {AsghariSarasekanrood, sayyad and sharifi, zahra and shahbazi, zahr}, title = {Zoning Landslide Hazard in the Masal to Gilvan Road Using a Neural Network Algorithm}, abstract ={Landslides, as one of the most dangerous natural hazards in mountainous regions, continuously threaten human infrastructure, especially roads and transportation routes. Their occurrence often results in significant loss of life and property, making it crucial to study and assess landslide hazards for effective zoning. The purpose of this research is to zone the landslide hazard along the Masal to Gilvan road using a neural network algorithm. The neural network algorithm is recognized as one of the most effective machine learning models, capable of solving complex problems in prediction and classification despite its simplicity. For this zoning analysis, nine influencing factors were considered: (1) geology, (2) vegetation cover, (3) slope, (4) land use, (5) distance from the road, (6) slope aspect, (7) elevation, (8) distance from fault lines, and (9) distance from rivers. The data were prepared, preprocessed, and then entered into MATLAB 2018. A neural network model was designed and implemented with 9 input neurons, 8 hidden neurons, and 1 output neuron. The results indicated that the four most influential factors, ranked by weight, were: slope (0.24), vegetation cover (0.17), distance from fault lines (0.14), and geology (0.11). Final validation using the ROC curve showed that the AUC values were 0.854 for the training phase and 0.971 for the testing phase, both of which reflect highly favorable results. The error rate was found to be very low.  }, Keywords = {Zoning, Landslide, Neural Network, Algorithm}, volume = {11}, Number = {4}, pages = {45-60}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.11.4.6}, url = {http://jsaeh.khu.ac.ir/article-1-3463-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3463-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2025} } @article{ author = {Asgari, shamsollah and shadfar, sam}, title = {Landslide risk zoning using artificial neural network (ANN) in Mishkhas watershed of Ilam}, abstract ={ Landslides are one of the natural hazards that threaten human life and property. A landslide may destroy tens, hundreds and maybe thousands of hectares of land in a short time. For years, this hazard has destroyed orchard lands, fields, forest areas and pastures, communication roads, and rural settlements in the Mishkhas mountainous region of Ilam province. Landslide risk zoning is necessary to control this risk in this basin. The main goal of this research is the zoning of landslide risk areas in this watershed. One of the new methods to investigate the risk of landslides is the artificial neural network method. This method has advantages over other methods, the statistical distribution of the data is independent and does not require special statistical variables. In this research, first, a landslide distribution map was prepared in the selected basin. Then, the relationship between independent variables such as slope, lithology, distance from fault, land use, distance from road network, distance from waterways, direction of slope with areas affected by landslides was investigated. After preparing the weighted maps, these layers were converted into numerical information in the ArcGIS software environment, and after standardization, they were entered into the MATLAB software, and a program with a perceptron structure was written with the learning algorithm after the error propagation. After determining the structure of the artificial neural network and its training and testing, the evaluated results and the output of the network in the geographic information systems environment became a landslide risk map. The resulting risk map was calculated into different risk zones, classification and amount of landslide in each zone. The results of the analysis of the factors showed that in the Mishkhas basin of Ilam, Asmari Formation, the slope is 10-20%, the distance from the fault is more than 500 meters, the northeast direction, the distance from waterways is more than 100 meters, fruit orchards are the most sensitive land uses and the distance from the road is more than 200 meters are the most sensitive classes to the occurrence of landslides and have the highest rate of occurrence of landslides in the basin. On the other hand, the results of landslide risk zoning using artificial neural network method showed that in Mishkhas Basin of Ilam, about 80% of landslides are in high and very high-risk zones.}, Keywords = {zoning, artificial neural network, perceptron, error back propagation, landslide}, volume = {11}, Number = {4}, pages = {61-76}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.11.4.4}, url = {http://jsaeh.khu.ac.ir/article-1-3453-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3453-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2025} } @article{ author = {GhahroudiTali, manijeh and Khodamoradi, Farhad and alinoori, Khadijeh}, title = {Analysis of the relationship between land use changes and the intensification of land subsidence in the Dehgolan plain of Kurdistan province}, abstract ={Subsidence as an environmental hazard is caused by various natural and human factors. The drastic changes in land use, the increase in the number of deep wells, and the effects of the subsidence phenomenon in Dehgolan plain show the need to investigate these influencing factors. In such a situation, adequate understanding of the degree of vulnerability and investigation of the influencing factors in that process provides the opportunity for planning and environmental preparation of the space in order to reduce vulnerability. In this research, first, the NDVI index of the plain was investigated with the help of 15 Sentinel-2 and Landsat 8 satellite images, and the best date was selected for the Sentinel-1 images. In this way, 8 Sentinel-1 satellite images were analyzed over a period of 8 years (2014-2021) and all the images were analyzed and processed in eight stages with the help of SNAP software. 3 Landsat 7 and 8 satellite images were used to investigate land use changes (2000-2021).By applying atmospheric and radiometric corrections and finally performing the supervised classification method using Arc GIS software, land use was extracted and its changes were checked. The interferometric results showed that the Dehgolan plain suffered a total of 480 mm of subsidence. So that 60 mm of subsidence has occurred in this plain every year. In the end, with the preparation of the map of land use changes, the classes of irrigated agricultural and residential lands increased by 6.98, 1.47 percent, and the uses of pasture, forest and rainfed lands were faced with a sharp decrease, so that irrigated lands increased by 8477 and residential by 672 hectares. Is. The results obtained from the analysis of the relationship between water use and subsidence showed that rapid subsidence occurs mainly in water and urban land use classes. This is a consequence of increasing water extraction for agriculture and drinking. Usually, the pattern of land use conversion with more human influences has increased the rate of subsidence.  }, Keywords = {subsidence, radar interferometry, SNAP, land use, Dehgolan Plain}, volume = {11}, Number = {4}, pages = {77-94}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.11.4.2}, url = {http://jsaeh.khu.ac.ir/article-1-3448-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3448-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2025} } @article{ author = {Nasserzadeh, Mohammad Hossein and karbalaee, Ali Reza and ghaderirastaghi, maryam}, title = {Spatial and Temporal Analysis of Precipitation Concentration and Its Zonation in Mazandaran Province}, abstract ={Precipitation concentration denotes the temporal and spatial distribution of precipitation within a watershed, and has a substantial influence on hydrology and water resource management. This study examines the spatial and temporal patterns of precipitation concentrations in Mazandaran Province. Precipitation data from eight meteorological stations covering the period from 2002 to 2021 were used, and the Precipitation Concentration Index (PCI) was employed for data analysis. The findings revealed that the precipitation concentration in this province exhibited significant spatial and temporal variation. The highest PCI values were recorded in the western regions, particularly in Babolsar and Nowshahr, indicating high concentrations of precipitation during specific seasons. Conversely, the eastern region displayed a more uniform precipitation distribution. Seasonal analyses confirmed that spring was the least rainy season and autumn was the wettest. Additionally, Inter-annual variations in PCI indicated an increasing trend at some stations, suggesting a growing concentration of precipitation in recent years. Spatial analysis of PCI patterns also indicated that the southwestern and eastern regions of the province, influenced by topographic factors and distance from the Caspian Sea, experienced relative precipitation concentration during specific months. In contrast, the northern and northwestern regions, which are affected by Mediterranean weather systems and recent climate change, demonstrate an irregular and seasonal distribution of precipitation. The findings of this study underscore the necessity of considering spatial and temporal variations in precipitation concentrations in the management of water resources and hydrological processes in Mazandaran Province. The observed increasing trend in PCI highlights the need to develop adaptive strategies to address the challenges posed by extreme precipitation events and prolonged dry periods.}, Keywords = {Mazandaran, precipitation, PCI (Precipitation Concentration Index)}, volume = {11}, Number = {4}, pages = {95-108}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.11.4.5}, url = {http://jsaeh.khu.ac.ir/article-1-3460-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3460-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2025} } @article{ author = {Ghobakhloo, Pouria and KianianGolafshani, Mohammad Kia and Salehpour, Amin and Nikoo, Shim}, title = {Prioritization of Obstacles to Public Participation in the Implementation of Desertification Projects: the Experience of Local Communities from the Implementation of Desertification Projects in Garmsar City, Semnan Province}, abstract ={Desertification is a complex issue, which is caused by both natural processes and human activities. This includes land degradation due to various factors such as wind and water erosion, destruction of vegetation and reduction of water resources. Sustainable human development depends on three key elements: people, resources and participation. The purpose of this research is to identify the criteria and indicators that affect the non-sustainable participation of rural communities in desertification plans, to prioritize these criteria and indicators based on the local residents' point of view, and to provide solutions to increase the participation of villagers. The communities in the desertification plans of this research are the villages of Ghayasabad, Shorkazi and Mohsen Abad in Garmsar city, which have existing plans for desertification. After the initial evaluation of the areas, talking with the local residents, appropriate criteria and indicators for preparing the questionnaire were determined and distributed among the people. In order to analyze the questionnaires, the Friedman test was used to prioritize the indicators. The results showed that educational criterion is the most important criterion of non-participation of people in desertification projects from the point of view of local communities (2.69 rank) and social (2.63), economic (2.35) and Planning (2/33) from the point of view of local communities were prioritized in the next stages. Also, Friedman's test showed that, from the point of view of local communities, the index of non-use of local promoter groups, with an average rank of 11.72 and 10.33, respectively, is the most important index affecting people's non-participation in desert projects. were detected.  }, Keywords = {Desertification, indicator, Friedman, participation, Garmsar}, volume = {11}, Number = {4}, pages = {109-121}, publisher = {دانشگاه خوارزمی}, doi = {10.61186/jsaeh.11.4.3}, url = {http://jsaeh.khu.ac.ir/article-1-3449-en.html}, eprint = {http://jsaeh.khu.ac.ir/article-1-3449-en.pdf}, journal = {Journal of Spatial Analysis Environmental hazarts}, issn = {2423-7892}, eissn = {2588-5146}, year = {2025} }