جستجوی مقالات مرتبط با کلیدواژه « vulnerability: » در نشریات گروه « جغرافیا »

Ports are significant in the movement of goods and people and play a key role in the economy of countries…

Regarding the importance of the topic, this research, using five indicators (architecture and design, structure, facilities and equipment, proximity and access, information security and cyber network) and 104 sub-indexes, aims to identify and evaluate the vulnerability…

This research is applied and the research method is survey evaluation with emphasis on the questionnaire. The statistical population includes the employees and expert experts of the port administration and some officials of the institutions of the city of Bandar Imam Khomeini and the determined sample size is 100 people…Geographical Context:Imam Khomeini Harbor

The findings from the PLS test results revealed that the facilities and equipment index has the highest impact (0.873) and the information security and cyber network index has the lowest impact (0.737). Likewise, the results of ranking selected research components among five selected indicators using Friedman's model disclosed that the information security and cyber network index with a score of 3.24, and the structure index with a score of 2.91 have attained the highest and the lowest level of vulnerability among the studied subjects.

Based on the research results due to the high level of vulnerability, information security index and cyber network attention and increase of protection and security factors by following the passive defense instructions can prevent the occurrence possible risks to be effective.

Today's metropolises are always exposed to damage caused by natural hazards for various reasons. These risks require immediate prevention and measures due to the many human and financial damages. One of the most destructive and common natural disasters is the earthquake, which has caused the greatest damage to human society from the past to the present day.Several studies have been conducted in relation to the resilience and management of natural hazards at home and abroad; Among these studies, we can refer to the researches of Ebrahimzadeh et al. with the title of analysis on the vulnerability caused by earthquakes with emphasis on providing the optimal model for the location of special uses for health care and education, a case study of the worn out fabric of Tabriz city. Mansour Naimi et al.'s research titled "Earthquake Risk Microzoning with Fuzzy Hierarchy Analysis Model in Zone 1 of Ahvaz Metropolis", Alexander with a research titled "Resilience against Earthquake", Kusumastoti et al. Natural Indonesia as well as the doctoral thesis of Boston in relation to building resilience through design with the approach of improving the efficiency of hospitals after earthquakes.Resilience as a concept can be used for any community and any type of disorder, whether natural, man-made or a combination of the two. The definition of resilience includes: 1. The ability of a system to absorb damage and loss, without going out of normal state 2. The ability of a system to organize and reorganize itself in different conditions 3. The ability of a system to increase and create Capacity to learn and strengthen its adaptability.Vulnerability is the possibility that a person or group is exposed to the incompatible effects of a hazard, which is actually an interaction between spatial hazards and social forms of societies.One of the goals of this project is to provide solutions to improve resilience according to the results and the strengths and weaknesses of Khalkhal city. Knowing the characteristics of the resilient city, measuring the level of urban resilience and also determining the effective methods of evaluating the resilience of Khalkhal city are among the main reasons for conducting the present research.

The method of collecting information in this research is mainly field and library method was also used during the research. In this research, first, the theoretical framework of the research was done by collecting information using documentary studies.In the following, in order to check the degree of resilience of the studied cities by examining previous researches, criteria and sub-criteria of resilience were determined; Then, in order to analyze the data, from weighting to the research indicators, the ANP network analysis model was used in the form of Super Decision software, and in the Arc GIS environment, after preparing a vulnerability map for each criterion, using the technique of layer weighting and scoring the main and sub criteria. Its criteria have been used to prepare the final map of the natural index of Khalkhal city in Arc GIS software.Considering that some criteria are more important than other criteria and had a decisive role in the physical resilience of the city, a questionnaire was prepared to determine the relative importance of each of the indicators and it was distributed and completed among 15 expert experts.

It should be mentioned here that in order to evaluate the natural resilience of Khalkhal city, all the layers and sub-criteria effective in the natural resilience of the region, which was the result of applying the weights obtained from ANP in the GIS environment, were analyzed and integrated, and then after standardizing all the indicators and using From the weight obtained from the network analysis model (ANP), standard balanced maps were prepared and finally zoning of resilient urban spaces. Therefore, at this stage, the resilience of the natural dimension was calculated using the Raster Calculator tool to be used in the final zoning of this dimension of resilience. This process was carried out for each index, and finally, the general natural resilience map of Khalkhal city, which is the result of combining 8 sub-criteria of the research, was extracted.

In the researches that are formed with the aim of analyzing the state of resilience, the most important issue that should be paid attention to is the analysis of vulnerability and the recognition of upcoming threats in order to identify the capacity and capabilities of resilience. The city of Khalkhal has little resilience against the earthquake crisis due to its geographical and tectonic location, numerous active faults, the irregular growth of the city in the boundaries of the faults and unstable lands, so planning to deal with this risk is considered vital. The current research aims to measure and evaluate the natural resilience of Khalkhal city against different earthquake intensities and to achieve the first step of planning to deal with the earthquake crisis, which is to identify the overall resilience of the city. In this research, using standard indicators, the degree of vulnerability of Khalkhal city has been determined, and taking into account the results of the methods and combining them with the geographic information system, the vulnerability map of the city has been drawn. According to the final map, which is the output of GIS software, it can be said that the western part of the city is naturally highly vulnerable. In the current research, it was determined that the conditions in the western part of Khalkhal city are critical and during an earthquake, the number of casualties and financial damages will be high. Finally, in this thesis, the obtained results showed that the method used in the research was able to evaluate the studied area well and showed the vulnerable parts, which mostly include the western areas of Khalkhal city, in the final map.

Climate change may cause severe droughts with heavy economic-social damages; In addition, vulnerability assessment is the first step in the field of risk management and increasing the ability of farmers against drought, so the purpose of this study is to assess the regional vulnerability of Sistan and Baluchistan and provide appropriate strategies to reduce vulnerability to drought. In this article, biophysical and socio-economic indicators were used to measure vulnerability to drought risk and its three components (exposure, sensitivity and adaptive capacity); The results showed that the cities of Chabahar (2) and Khash (1.79) are more vulnerable to drought. In addition, this study showed that vulnerability to drought is related to the social and economic development of the region. In general, places with the highest level of exposure, in the overall index, experienced the most vulnerability, also, places with high adaptive capacity were not necessarily less sensitive to drought.

Geological diversity has created a new branch of the tourism industry called geotourism , where geological and geomorphological features are explored . The main focus of geotourism on geological elements includes two items, form and process . There is a set of geological forms and processes in places , which are called geosites . This has given rise to a new branch of tourism called geotourism , which examines places that have the ability to attract tourists and management aspects that can help the local community for economic development. In the first stage , it is very important to know the abilities and characteristics of the studied area . Scientific, tourism and educational evaluation of geosites in the region is the basis for optimal exploitation and sustainable development. In recent years, more attention has been paid to the Garmsar region, which has led to the development of geotourism. The impact of tourists and mines that have been created by humans, the Tastkan caves that have changed the strength of the salt caves, and also the role of natural factors, have all led to the environment's reaction

Urban planners consider historical fabric as the beating heart of cities. However, cities and specifically their historical fabrics are constantly under influence of natural and human-induced hazards.  This study aimed to assess the vulnerability of Ferdowsi neighborhood as an example of Tehran’s historical fabric. The data was obtained from geographical information system (GIS) files and a survey, as well as historical contexts and documents were analyzed as part of this study. Ten municipal experts were also asked to provide a score of 1 to 5 for each of the 29 indicators compared to standard levels. The mean value of these scores was then used to evaluate the role of each parameter in the vulnerability of this neighborhood.  Study findings indicate a high potential for the occurrence of natural and human-induced hazards in the study area. The abundance of unstable multistory buildings and derelict electricity and water networks, storage of flammables in warehouses, and lack of sewage network for half of the buildings were the most significant factors contributing to the vulnerability of this ancient fabric. Problems such as insecurity, drug abuse in public spaces, overcrowding and daytime congestion have also led to rapid relocation of neighborhood residents, who subsequently were replaced by commercial activities and warehouses. In conclusion, numerous problems are contributing to the vulnerability of historical fabric of this neighborhood and such problems are highly likely to be applied to other urban historical fabrics in Tehran.

The review of the research projects that have explored the evaluation and mapping of urban security vulnerability shows that this issue has various dimensions and is affected by spatial, social, and economic factors and these dimensions are determined through factors such as land use combination, street connectivity, infrastructure and demographic and social data.

In this research, after identifying the indicators related to the topic, the data related to them were collected at the level of localities in 22 districts of Tehran. Then it was used through the F'ANP method, which is a multi-criteria evaluation method for building composite indices.

The results of this research, which is the result of the combination of 14 indicators in 354 neighborhoods of Tehran, show that five main components can be identified in the construction of the urban security vulnerability composite index, which are: risk and threat level (at risk), economic activity density, total unemployment composition, traffic nodes, and dependent population.

The spatial distribution of these components at the level of neighborhoods in Tehran shows that the components of risk/threat level and traffic nodes have a north-central distribution. The components of economic activity density, the composition of total unemployment, and the dependent population are cluster components. In total, the highest values of urban security vulnerability were in central areas 11 and 12 and northern area 1 of Tehran, and the lowest values were related to northeastern areas 3 and 4 of Tehran.

According to the South Khorasan Province Electricity Distribution Company report, almost all the villages of the province are eqipped with electricity and related services. Since the density of settlements as well as industrial and service centers and consequently the electricity distribution network in the Shahroud watershed located in Birjand county is higher than other basins of the province, as well as, considering the damage caused to the masts and transmission beams of the electricity network in the past years, this study investigated the zoning of the vulnerability of the electricity distribution network against natural hazards in the Behdan watershed as a case to implement the model and estimate possible damages. To conduct this research, first, a map of the bases, the 20 kV network and other facilities of the electricity distribution company was prepared, topographical maps were used and matched with the electricity distribution network, and the effective lines were identified. Due to the absence of a hydrometric station in the studied area, the flood discharge of the studied basin was determined using the experimental-analytical method. In order to determine the flood zones, the transverse profile of the canals was first taken using the DGPS device. Using a photogrammetry drone, images were taken and, a digital elevation model was prepared. Then, the 100-year flood height model in each sub-basin was determined using Hec Ras software, and the flood area was determined using Hec Geo Ras extension in ArcGIS. Finally, the facilities related to the electricity distribution company exposed to flood damage and the possible costs caused by the flood were calculated for a representative basin.

Today, the adverse effects of climate change and the resulting damages have become an environmental, social and economic problem. Evaluating the resilience of local communities against climate change and its limitations and obstacles is an important step for identifying effective mechanisms and prioritizing management that promotes flexibility and increases adaptation capacity. Due to the importance of this issue, the current research aims to identify the limitations of coping. and resilience against the risks caused by climate change was carried out in Zahedan city. The current research is applied in terms of purpose and its method is descriptive-analytical. The tool for collecting data and information was a researcher-made questionnaire from the study area. The statistical population was the rural households of Zahedan city, which due to the dispersion of villages and their large number, 12 villages (2 villages from each village) were randomly selected as sample villages. According to 832 households of the studied society and using Cochran's formula, the sample size of 263 households was obtained, which was increased to 265 households. In order to analyze the data, ISDM method was used in SPSS software and structural equation method in LISREL software. The results showed that 12.83% of residents have weak perception, 23.02% have moderate perception, 35.85% have strong perception and 28.30% have very strong perception of climate change. Also, the physical factor (factor load 0.941), social factor (factor load 0.922) and economic factor (factor load 0.895) are the most important limitations of resilience against the risks caused by climate change in Zahedan city.

 Kerman is the most earthquake-prone province in the country due to active faults and earthquakes with high human casualties. Of the total area of worn-out tissue in Kerman province, which is about 4062 hectares, of which 1589 hectares are located in the city of Kerman.  The aim of the study is to identify and level the vulnerability of the city's tissues. The issue of the city of Kerman is that there are many vulnerable areas, and identifying vulnerable surfaces and reducing the vulnerability coefficient can help effectively manage the crisis.

 The research method is descriptive-Analytical, the research data is prepared by documentation and field methods and references to organizations. The types of users were examined at the Kerman city level and the ratio of each was obtained.  Some of the human indicators affecting structural resistance in Kerman were examined and described, and the number and percentage of types of structures in Kerman were obtained using GIS software, maps, resources, information and navigation methods, which were given in the relevant table
Findings and

Results show that in total, 83% of the structures in Kerman have a vulnerability of more than 50%, and 4% of the structures in Kerman have sufficient resistance to a relatively strong possible earthquake. And with the research done, about 53% of the population of Kerman lives in areas with a risk of more than 50%. And finally, factors such as the strength, resistance and formability of the constructive elements were regular, structural hardness and durability, and the presence of continuous load transmission routes were examined to increase structural resistance to earthquakes.

According to the law of the fourth development plan, one of the main axes of the issue of national security is the discussion of passive defense. One of the important parts in the discussion  of passive defense is safe spaces and shelters. In this research, the city of Sanandaj has been chosen as a study sample considering that it is one of the important cities with military importance in the west of the country. The current research is applied in terms of purpose and descriptive-analytical in terms of methodology, and for Site Selection urban shelters, four criteria are used: compatible uses, incompatible uses, physical use and safety, as well as effective sub-criteria. (Centers with support functions (cultural, educational, medical and sports centers), firefighting centers, industrial and dangerous centers, sensitive and important centers, population density, dense areas, open and green spaces, main roads, slope and distance from the river ) Used. Using Geographical Information System (GIS) and Analytical Hierarchy Model (AHP), the locations in five floors have been obtained in priorities from very suitable to very suitable for the establishment and construction of urban shelters. The results show that the central areas of Sanandaj city have a very good to good and relatively good situation in terms of the establishment of shelters, which include Enkhelab St., Namaki St. and Imam St., Abbas Abad Beltway, Golshan St., Chaharbagh St., Salahuddin Ayubi St., Taleghani St. Esteghlal St., Twenty-Hasht Day Blvd., Dovazde Farvardin Blvd., Kurdistan Blvd., Ba'ath Blvd., Allameh Hamdi Blvd., Pasdaran St., Shahada St., and parts of Kargar St. that can be considered as favorable locations for shelter construction.

The area under study (Tehran gas line 3) is one of the most important and sensitive areas in terms of threats to gas supply due to the instability of domains and tectonic activities. In this research, to achieve the research objectives, different data from different sources and different criteria were used. For example, geology, height, distance from the slope fault, slope direction, distance from the river, land use, soil, distance from the road, precipitation, land cover, and height were used. Risk assessment using five fuzzy models, network analysis, Fuzzy network, multilayer perceptron, and random forest method were analyzed. Because the traditional methods of risk assessment are based on mathematical functions and need more knowledge of experts and are less practical, intelligent systems were used which, in addition to being easy to use and analyzing relationships, provided more appropriate results. The results of the investigations showed the comparison of landslide and earthquake risk with different models shows that the risk of landslide is higher with the RF model. Still, with the use of the ANP model, the studied area shows relatively higher risk. In the Fuzzy model, the highest percentage belongs to the low-risk class and the lowest percentage belongs to the medium-risk class. In the fuzzy-ANP model, the relatively high-risk class shows the highest percentage and the high-risk class shows the lowest amount in the range. In the MLP model, most of the study range has medium risk and the high-risk class range has the lowest amount in the range. Therefore, in the RF model, the highest percentage belongs to the relatively high-risk class and the lowest percentage belongs to the low-risk class. According to the evaluations made from the results of the ANP model, the systematic error (MBE) of this model is -0.20336 and the absolute error of the model is 0.209895. The RMSE error was 0.131107. According to the evaluations of the results of the Fuzzy model, the systematic error (MBE) of this model is -0.23687 and the absolute error of the model is 0.25511. The RMSE error rate was 0.162122.

Risk assessment in threats that have a spatial aspect and are related to the characteristics of the environment and the pipeline bed is considered essential. Due to the nature place of risk, it seems that it is possible to establish a connection between the process of risk estimation and the geographic information system, and by using different models, the high-risk areas can be specified. According to the issues, in this research, the process of environmental risk estimation has been investigated with a geographic information system and using hybrid-fuzzy algorithms. After positive results, by assessing the risk of gas pipelines, valuable information such as risky components can be determined and a suitable reaction and strategy can be used to reduce and even eliminate it. To achieve the goal, the appropriate technique has been used in the research. which can assess the existing risks more accurately and reliably. Also, planners and managers should act with a wider horizon and a lower risk factor toward the optimal management of gas transmission lines.

In this research, five models were analyzed for risk assessment. These models were fuzzy analysis, network analysis, fuzzy network, multi-layer perceptron, and random forest method. Given that the traditional methods of risk assessment are based on They are mathematical functions and lack the knowledge of practical meter experts, intelligent systems were used which, in addition to easy use and relationship analysis, provided more appropriate results. In this research, the network analysis method was used. The Multilayer Perceptron (MLP) model was also used in this research. This method requires less investigation in estimation or statistical methods to analyze the accuracy of data. The most important advantages of MLP are high learning potential, robustness against noise, non-linearity, parallelism, error tolerance, and high capabilities in task generalization. The overall goal of this model is to find a system to minimize the total error for the relevant training data by The training algorithm. The networks between these layers are with different weight values in the interval [1 and -1]. The result of input values, weighted values, and bias values are obtained from equation (1)based on the aggregated performance.
Equation (1)                                               
n shows the total number of input points, I_(i) the input variable, β_j the bias value, ω_ij the connection weight.
Random forest model (RF) was another model used in this research. In the structure of the RF method, the importance of the variables was determined in the model and the variables that have a greater role in each tree and the final model were identified. It was considered from the bag and these data played the role of experimental data to evaluate that tree. Based on this model, the most weight is given to the rainfall criterion and the least to the soil criterion. The measured values were used in the test stage. To validate the model, the statistical indices of root mean square error (RMSE), mean error of exploitation (MBE), and mean absolute error (MAE) were used. The relations of these indices are in the form of equations 2 to 4:
Equation(2)                 RMSE =       Equation (3) MBE =                Equation(4) MAE =                
In the above relationships, O_i and P_i are the observed and estimated values at time i, and t is the number of days.

In this study, it was tried by using different models, while the level of risk is checked, a comparison is also made between the models. In the scope of the study, The comparison of landslide and earthquake risk with different models shows that the risk of landslide and earthquake is higher based on the RF and ANP models. The analyses conducted by other researchers show that the MLP model and the ANES model show better results. The results show the difference between the output values of the model and the values. The result of smart tracking is as target points for model evaluation. The MBE error shows whether the model error is generally positive or negative, that is, whether the model estimates the data more than the real values or less than the real values. This error includes any systematic errors in the design, collection, analysis, interpretation, and dissemination of data that lead to incorrect estimates. This error is one of the systematic errors in that the increase of sample points does not affect the reduction or increase of the error. The systematic error (MBE) of this model is 0.002812.

In the ANP model, parts of the pipeline based on earthquake criteria are 0.363 km long with a low vulnerability is 20.317 km. Also, 258.60 km is with relatively high vulnerability and 29.062 km is with high vulnerability. Based on the results of the review of landslide criteria of the ANP model, 0 % of the area is in the low-risk class, 17.28% is in the risk class average, 73.14% in the relatively high class, and 9.58% in high-risk class. According to the landslide criterion using the ANP 008 model, 19.19 km of the studied area with medium vulnerability, 80.454 km with relatively high vulnerability, and 10.538 km with high vulnerability. According to the landslide index results of the MLP model, 9.78% of the area is in the low-risk class, 47.17% in the medium-risk class, 36.95% in the It is relatively high and 6.10% is in the high-risk class. According to these results, most of the region is in the class with relatively high risk. Based on the results of the MLP model earthquake criteria, it was found that 5.093 km with low vulnerability, 29.48 km with moderate vulnerability, 713.7 km 42 km with relatively high vulnerability, and 32.714 km with high vulnerability. Therefore, according to the results, it can be said that in areas with high risk, it is necessary to use higher class pipes, periodic studies and investigation of physical factors and an environment that is effective in causing damage should be done to reduce their vulnerability.

The population of South Khorasan Province is a village that has experienced severe weather events in the last two decades, this part of the population is vulnerable due to significant dependence on climate change. Agriculture as the most important climate-sensitive livelihood option in rural areas of the province is the main source of local economy, so this population in recent years as environmental and climatic migrants have created the main body of peripheral areas, especially in the city of Birjand. In order to discover the dimensions of vulnerability in suburban areas, 20 quantitative biophysical, social and economic indicators were used. The principal component analysis (PCA) method was used to analyze data. The results of this study showed that the current socio-economic conditions and increasing environmental pressure as a result of human-environmental interactions are the main causes of vulnerability in most peripherals of Birjand, which have different capacities based on the degree of vulnerability to climate change. Peripherals areas located in the west and southwest of Birjand, including Chekond, Hajiabad, Kalateh Ghaeni, have the highest vulnerability to the consequences of climate change. The results of this study can be used to decide on the selection of strategies for adaptation to climate change in the metropolitan areas of Birjand based on the vulnerability of these areas for managers and planners

There have been many changes in attitudes regarding risks in recent years, to the point that the international community now views resilience as an important strategy for enhancing communities and cities' ability. In this regard, the DEMATEL method was used to evaluate the cause-and-effect relationships between the criteria, the ANP method was utilized to assess the importance of each criterion, and the VIKOR method was used to rank urban regions of Tehran. In the first step, the criteria affecting resilience in 4 dimensions (environmental, economic, physical, and institutional), 11 criteria, and 31 sub-criteria were selected based on the Delphi method. In the next step, the DEMATEL method was used to investigate the causal relationships of criteria. The findings of the study showed that based on the values (D-R), the environmental dimension with a value of (1.18) was the most effective measure of urban resilience among the four dimensions of urban resilience. Furthermore, the results of ANP showed that disasters and natural hazards in the environmental dimension, urban infrastructure in the physical dimension, and employment rate in the socio-economic dimension had the highest impact among the sub-criteria. Also, the results of the VIKOR method showed that region 4 has a high level of resilience and region 12 has a low level of resilience. In general, it can be said that municipal areas located in the center of Tehran have less resilience to crises than other urban areas. Findings help urban planners and managers consider the criteria of the cause group to define priority prevention programs to increase urban resilience.

The nature of livability, quality of life and on a larger scale; Rural sustainability is intertwined with resilience; In the field of rural planning today, instead of focusing on vulnerability (crisis formation and management), emphasis is placed on the resilience of local communities (risk management and active action). Among these, the realization of resilience due to the complex, multidimensional, systemic nature and multiplicity of actors and actors in today''s variable internal and external environment; It requires the provision of conditions, needs and requirements in the rural environment, the lack of which means the creation of numerous obstacles and challenges and the continuation of environmental vulnerabilities, and in order to change the situation and move in the direction of resilience, identify these challenges and Obstacles and removing them can be considered a fundamental and important step. The present user research has been conducted for this purpose in high-risk and deprived border rural areas of Marivan county with a descriptive-analytical method and quantitative-qualitative (mixed) nature. In the qualitative part; Identifying the barriers and challenges facing the provision of resilient environment in the rural areas studied and in the quantitative part, tried to confirm and generalize the findings of the qualitative sector and provide analysis of the performance of these barriers. In the qualitative part, the in-depth and open interview method was used, and in the quantitative part, the questionnaire was distributed. The statistical population of the study includes development managers, village heads and councils, local rural knowledge, scientific and academic experts in the region and economic activists in the region, which purposefully and by snowball method, select and identify barriers to providing a swing environment Rural (quality section) and their approval (quantitative section) was done by them. The analysis of the collected data in the qualitative part based on the open coding method and in the quantitative part based on the factor analysis test showed that 64 obstacles or variables in the form of four main factors of weakness in planning, policy making, implementation, supervision and monitoring on the development process in the development management field of Marivan county (the most important and effective factor); Lack of attention and explanation of the concept of resilience and the lack of an efficient risk/crisis management structure (natural and human); The inadequacies of the social environment and the inappropriate business environment for the economic development of the villages and the weak support for providing environmental resilience in the rural areas of Marivan are effective obstacles.

Flood is one of the most common and widespread natural disasters that occur frequently around the world (Patra et al, 2016). In recent years, the damages and casualties caused by floods have been affected by various factors. However, increased population, land use change, and the development of residential areas are considered to be the boosters for the increase in damages. The decrease in the active width of rivers by different factors especially human interventions has increased the vulnerability facing floods. The damages are classified into tangible or intangible types. Tangible damages, including the destruction of buildings, agricultural lands, roads and transportation systems, infrastructures, environmental ecosystems, and human casualties impose a major negative emotional burden on the target society (Tiryaki and Karaca, 2018). Among the natural disasters, floods cause the most damage to the agriculture, fisheries, housing, and infrastructure sectors and severely affect economic and social activities. Despite the natural cause of the floods in Iran, the main cause of the damages may be due to the human settlement in the high-risk areas (Mustafa et al, 2018, Nga et al, 2018). In recent years, about 70% of the annual budget dedicated to decreasing natural disasters have been allocated to recovering the damages by flood and this trend is increasing, so the 250% growth of flood damages in the last five decades confirms this claim (Demir and Kisi, 2016).

This applied quantitative research was carried out in the Cheshme kile river, located in Tonekabon City in 2021-2022. In the first stage, indicators affecting flood vulnerability were prepared using the study of the research background. In this regard, the data of 6 indicators of aging ratio, sex ratio, youth ratio, land use, population density, structure quality, and material quality were prepared as effective indicators of flood vulnerability. Data were collected using the statistical yearbooks by referring to the National Statistics Center of Iran, which was recorded in the last census in 2016. In the next step, the relationships defined according to Table 1 were used to prepare each index. Zoning the floodplain area is applicable to detect the vulnerable area. The map of floodplain zoning is the result of modeling based on the HEC-RAS model (Saffari et al, 2023). The data of each of the indicators was overplayed with the layer of urban blocks of Tonekabon using ArcGIS 10.3 software. Then, the Vikor method was used to prepare flood vulnerability zoning maps. The data normalization was carried out due to the different data spectrums. Then, the weight of each index and sub-index was prepared using the AHP method. After determining the weight of each index, positive and negative ideals were determined. Positive ideals are the highest values of each index and negative ideals are the lowest values of each index. The result of subtracting the positive ideal from other sub-indices is the index of usefulness, and the result of subtracting the negative ideal from each of the sub-indices is the regret index (Table 2). The regret and usefulness indicators were classified (very high, high, medium, low, and very low) for each of the layers using the reclassify tool through ArcGIS software. (Figures 2 and 3). The classification spectrum for each of the layers is presented in Table 2. After calculating the indices of usefulness and regret, a flood vulnerability map was prepared for the study area using Equation 5 (Figure 3). In this map, values close to zero show the highest vulnerable area, and values close to one show the lowest vulnerable area conditions. To better understand the distribution of risk zones, the target map was classified into 5 spectrums of very high risk, high risk, medium risk, low risk, and very low. According to the findings, the area of risk zones in very high, high, medium, low, and very low classes were 0.36, 0.26, 0.34, 0.28, and 0.19 kilometers, respectively. The largest and lowest area of risk zones were observed in the very high and very low classes.

The aim of this study was to investigate the vulnerability of the Cheshme Kile River in the area of Tonekabon City facing floods using the Vikor multi-criteria decision-making method based on the geographic information system (GIS). Effective criteria in flood vulnerability included land use, population density, youth ratio, aging ratio, gender ratio, and quality of structures and materials. The findings show the low vulnerability facing floods in the southern areas on the left side and the northern areas on the left and right sides of the Cheshme kile river due to the low population density, the low active width of the river channel, and the presence of green spaces. On the other hand, the density of the population and the dense building texture on the left banks in the western and northwestern margins have led to a decrease in soil permeability levels and an increase in the volume of urban runoff. Therefore, these areas are more vulnerable to floods and urban runoff. According to the findings, the highest and lowest areas were observed at very high risk and very low zones.
The width channel of the river has increased downstream, while the slope of the river has decreased, which increases the water level and the possibility of financial and human losses. As can be seen in Figure 4, areas with high vulnerability can be seen on the left and right banks in the downstream section of the river.  In these layers, factors such as population density at the range of 192-67 and 192-408, youth ratio in the ranges of 19.21-26-43 and 14.19-21, structure quality in the very unfavorable range, the aging ratio in the range 9-18, the gender ratio in the range of 27.56-44.74 and building and industrial lands have increased the risk of flood vulnerability in this area. Naturally, by reducing the range of investigated indicators, the risk of flood vulnerability also decreases. For example, in a factor such as the youth ratio, the lower the relative spectrum, the greater the risk of flood damage.

Starting to apply the principles of passive defense in urban planning with the aim of minimizing the possible possibilities caused by man-made threats has an important place. Therefore, the main goal of this research is to determine the importance of urban medical geomorphology indicators on the vulnerability of the area, to evaluate the city of Shiraz based on these indicators and to identify the vulnerable areas of the city of Shiraz in the environmental conditions of possible man-made hazards. This research is descriptive-analytical and case in terms of methodology. In order to identify the vulnerable areas of Shiraz city, the integrated model of fuzzy hierarchical analysis and weighted measurement is used in the geographic information system. Maps related to vulnerability measurement criteria using fuzzy and ANP fuzzy logic chain analysis method in geographic information system, preparing fuzzy maps using weighted linear combination with combined combination and using the method of weighted ordinal measurement (OWA) The final vulnerability maps of the studied area are prepared. In the following, with the aim of identifying and identifying the acute geomorphological complications in passive defense, in the analysis of this region, the analysis of the territorial system has been used, as well as the analysis of all these complications with the SWOT method and model. The most vulnerable is related to the central area of the city and Koi Waliasr. The effects of geomorphology (elevations and alluvial cones) in the north and west of Shiraz city are more and more important than other effects in passive defense.

The pervasiveness of the concept of vulnerability in various dimensions has led to the emergence of the theory of vulnerability in the spatial sciences. According to the theory of vulnerability, in any given space, there is a coefficient of vulnerability, while the levels and amplitude of safety are not evenly distributed on the surface of that space. Residential use is one of the most important and main uses in the urban land use system, and safety management and attention to its defense requirements are very important due to the high population density in large cities. The present study is in the field of assessing the vulnerability of residential uses against external threats with a passive urban defense approach in District 10 of Tehran, which was conducted in the form of spatial studies and by implementing an analytical model in three steps. First, the principles and requirements of passive defense were identified and classified into three groups of structural, demographic and spatial parameters, and using the questionnaire and expert survey tools, the priorities of passive defense principles in relation to residential spaces were determined. Then, based on the network analysis process, the weight of each criterion was determined and the weight of the ANP model was applied to the spatial layers of the region in ArcGIS software. The results of the model showed that in terms of structural indicators, more than 78% of residential units in the region are in the group of structures with high vulnerability and in terms of demographic indicators, in 88% of residential units in case of external threats, the level of vulnerability is high. In terms of spatial indicators, more than 92% of residential spaces are adjacent to several incompatible uses and have the highest vulnerability. In general, the results of overlapping layers showed that more than 86% of residential units in the area are located in vulnerable zones and the vulnerability of residential units in these zones is very high.

Land subsidence is one of the environmental hazards that threatens most countries today, including the majority of Iran's plains (Ranjabr and Jafari, 2010). Damages caused by subsidence can be direct or indirect. Infrastructural effects are direct and indirect effects of subsidence, but economic, social and environmental effects are indirect effects of subsidence (Bucx, et al., 2015). The environmental effects of subsidence are related to other effects of subsidence, including the infrastructural, economic and social effects of subsidence. The southwest plain of Tehran is considered one of the most important plains of Iran due to its large areas of residential, agricultural and industrial lands from various aspects, especially economic, political and social. The subsidence of the Tehran plain was first noticed by the measurements of the country's mapping organization in the 1370s. Since 2004, the responsibility of investigating this phenomenon in the plains of Tehran was entrusted to the Organization of Geology and Mineral Explorations of the country. Although several researches have been done in the field of subsidence factors, amount and zoning. In the field of estimation of subsidence and changes in water level, spatial correlation of subsidence with changes in water level and estimation of vulnerability due to subsidence according to the density of population, settlements and facilities in the southwestern plain of Tehran has not been done.

In the current research, we will analyze and estimate the spatial regression of the subsidence phenomenon by InSAR technique with water level changes from 2005 to 2017, as well as the environmental effects of subsidence in the southwest plain of Tehran by using Quadratic analysis method (O’Sullivan and Unwin, 2010). The criteria map of the current research is overlapped using the ANP method (Ahmedabadi and Ghasemi, 2015) weighting and finally with the SAW method (Emaduddin et al., 2014) in the Arc GIS 10.8 software, and the vulnerability map due to land subsidence in the study area is prepared.

The average subsidence in 12 years is about 9.9 cm per year. Average subsidence has occurred in four main zones. Maximum and minimum subsidence have been observed in B (near the Sabashahr) and D (in east of plain) zones respectively. The results of the interpolation of the depth of the underground water in the study area indicate that the general trend of increasing the depth from the south (10 meter) to the north (more than 90 meter) of the plain. The results of spatial correlation showed that there is a significant direct relationship between the spatial layer of the average subsidence rate of Tehran Plain and the spatial data of the underground water level, and the R value is equal to 0.61. The distribution map of the underground water depth of the study area in the form of Quadrat analysis shows that in the main part of the plain, the depth of underground water is at an average level. The general trend of changes in the level of underground water is decreasing from northwest to southeast and is in 5 levels. The distribution of the networks shows that the rivers have three linear trends from north and northwest to south; their dispersion is mostly in the center of the study area. The flood rate is higher in the central plain networks. In study area, there are important arterial roads such as Tehran-Qom highway, Tehran-Saveh highway and Tehran Azadegan highway. The southern and northeastern areas of the study area are urban settlements such as Islamshahr, the 18th and 19th districts of Tehran Municipality and other residential areas such as Sabashahr. The major part of the region has fertile soil and the occurrence of subsidence can have negative effects on the fertility and texture of the soil in the study area. The results of vulnerability analysis due to subsidence show that there are 5 vulnerability classes in the study area including very low, low, medium, high and very high.

All in all most of the study areas (central, northern and western networks) are in medium, high and very high vulnerability. About 14,600 hectares of the study area are in medium vulnerability. Which is continuous from the west to the east of the study area. Most of the urban infrastructures are moderately vulnerable to subsidence. About 17,000 hectares of the southwestern plain of Tehran are very vulnerable. That more than half of the area of ​​this area is covered by settlements and urban infrastructures. Therefore, the phenomenon of subsidence causes irreparable damage to the settlements and infrastructures in the southwest plain.