جستجوی مقالات مرتبط با کلیدواژه « urban green space » در نشریات گروه « جغرافیا »

Urban green spaces constitute a pivotal component of urban ecosystems, offering a plethora of ecological benefits and services to cities. Augmenting these green patches within urban landscapes and establishing interconnected ecological networks therein represent viable strategies to mitigate the adverse repercussions of inadequate urban development while bolstering urban environment resilience. In the past few decades, the landscape ecology paradigm has introduced innovative methodologies aimed at comprehending the intricacies of urban green space dynamics and how landscape configurations wield influence over the environmental processes within cities. This research, consequently, sets out with the intention of quantitatively assessing and dissecting the transformations transpiring within Khorramabad's urban green spaces. It does so by harnessing remote sensing data and leveraging landscape metrics to gain deeper insights into the urban landscape's evolution. 

The focus of this research centers on Khorramabad city, which serves as the capital of Lorestan province and holds the distinction of being the province's largest city in terms of both population and geographical expanse. Municipally zoned into three distinct regions, the study unfolds across two main phases. Initially, the endeavor involved the creation of comprehensive synoptic maps capturing Khorramabad city's green spaces. This process relied on satellite imagery, followed by a subsequent phase of scrutinizing these maps through the application of landscape metrics.To execute this, satellite images from various sensors—namely TM, ETM+, and OLI on Landsat 5, 7, and 8 satellites—were harnessed for the years 1987, 2003, and 2019, respectively. These images underwent meticulous preprocessing, culminating in their classification using the maximum likelihood method within the ENVI software environment. To validate the accuracy of the resultant maps, an error matrix was employed. In order to model the quantitative alterations and patterns within Khorramabad's urban green spaces, landscape metrics were harnessed. Notably, the Fragstat software facilitated the analysis of selected landscape metrics, which encompassed four key measures: class area (CA), number of patches (NP), percent of landscape (PLAND), and mean Euclidean nearest neighbor distance (ENN-MN). 

The analysis of spatial-temporal changes in Khorramabad city's green spaces reveals an evident declining trend in their overall pattern. The outcomes underscore a substantial reduction both in the quantity of green patches and the area they encompass, dwindling from 703.8 hectares in 1987 to 629.88 hectares in 2019. Additionally, the investigation into landscape metrics' composition and distribution underscores an absence of cohesive dispersion on the city-wide scale. Within Khorramabad city, regions 1 and 3 exhibit inadequate green space composition and distribution. The computed metric for Class Area (CA) reflects a decrease from 195.66 hectares in 1987 to 191.63 hectares in 2003, further diminishing to 170.145 hectares by 2019. Correspondingly, the metric for Number of Patches (NP) indicates the lowest count of patches (33) in 1987, which escalated to 122 patches in 2003, and ultimately reaching 183 patches by 2019. Moreover, Proportion of Landscape (PLAND) data highlights that regions 3 and 2 demonstrate the highest (19.45%) and lowest (7.18%) green area proportions, respectively. Notably, the PLAND metric underwent modification from 229.81 meters in 1987 to 88.47 meters in 2003, further diminishing to 78.65 meters in 2019. The findings underscore deficiencies in Khorramabad city's urban green spaces, indicating a lack of favorable conditions for their development.

The research conducted an assessment of urban green spaces within the urban areas of Khorramabad, utilizing remote sensing data and landscape metrics. The findings indicated a consistent downward trend in the overall extent of green spaces in Khorramabad city over various years. The distribution of green patches within the city was deemed relatively inappropriate, lacking an optimal arrangement. To enhance the status of green spaces, there is a need to establish continuity between discrete green patches and smaller green areas. This study underscores the significance of prioritizing sustainable management for Khorramabad's urban green space, aiming to prevent its degradation. The study's limitation lies in its reliance on medium-resolution Landsat image data. Overcoming this constraint through the incorporation of high-resolution data holds promise, particularly for fragmented green spaces in urban areas.

nvestigating the relationship between urban green space on air pollution and respiratory mortality in Mashhad using linear regression was done in 2018.

The study method in the present research is descriptive-analytical, which investigated the relationship between variables using GIS and TerrSet software. Therefore, in the first step, after receiving air pollution concentration data from 23 air quality control monitoring stations in the city of Mashhad and applying the necessary corrections to it with the interpolation method in GIS software, the distribution and distribution of pollutants was prepared in the form of a map. In the second step, the statistics related to Mortality due to respiratory death was received from Ferdous organization of Mashhad city and the distribution and density map of respiratory deaths was drawn. Finally, the obtained maps were called in TerrSet software and the relationship between variables was measured using the linear regression option.

The results showed that the concentration of nitrogen dioxide in the north and northeast, carbon monoxide in the north and central areas, and the concentration of respiratory deaths in the northeast were higher than in other places. The relationship between air pollutants and respiratory mortality with urban green space using linear regression also indicated that the variable of green space with nitrogen dioxide has a correlation coefficient of 0.11, carbon monoxide has a coefficient of 0.03 and respiratory deaths has a coefficient of 0.046.

The results showed that despite the low correlation coefficients, the increase in urban green space has led to a decrease in air pollution and the number of respiratory deaths in Mashhad.

Innovation: 

Among the most important innovative and practical aspects of the research, we can mention the spatial distribution of respiratory deaths in Mashhad in 2017 and its relationship with urban green spaces.

With the increase in the population of cities, the term green space and the uses of urban green space have received more attention. Therefore, as the cities grow extensively, the need for green spaces is felt more and more daily, both for the direct use of citizens and in terms of refining the environment. The importance of green space in the urban environment is that it is considered one of the indicators of the development of societies, and it has benefits such as treatment of mental illnesses, a favorable environment for raising children, social integration, maintaining comfort, etc. In addition, these spaces are used for the general public to spend their free time, have fun, and socialize with friends and social and cultural gatherings. This research investigates the distribution of green spaces in Isfahan based on the approach to environmental justice.  

 The current research is applied and descriptive-analytical. The required information has been collected in a documentary-library way, and the data has been analyzed using expert judgment, the field survey method (observation and questionnaire), and the Analytical Network Process (ANP) model and DEMATEL.  

 The results show that among the factors related to the distribution of urban green space, among the four categories of social, economic, physical, and environmental factors, according to the respondents' opinion, physical factors weigh 54. 44% rank first, and social factors with a weight of 24.8% rank. Therefore, to achieve comprehensive development in green space, the city of Isfahan needs effective attention to social factors.

Innovation: 

The present research is one of the few types of research that have investigated the factors affecting the distribution of urban green spaces with the approach of environmental justice.

The development of all construction activities depends on water consumption, and according to the existing limitations and challenges, providing sustainable water resources with proper management and according to the principles of sustainable development can greatly help the progress of construction projects. Therefore, reuse of waste water, especially gray water, is a suitable option for proper quality. Therefore, in this research, the role and effects of using gray wastewater on the civil development of City garden project of Yazd have been investigated. This research has been applied from the point of view of objective and with an experimental and survey approach. The collection of research information has been done with documentary and field methods and with questionnaire tools. The community of this research is the project agents and also the experts and the sample size was considered to be 100 people. Multi-criteria decision-making method and fuzzy linear BWM model were used for data analysis. The results showed that in the road and transportation sector, the sub-criterion of building boulevards and shelters with a final weight of 0.179, in the construction and space-building sector, the sub-criterion of building residential buildings with a final weight of 0.1965, and in the environment and tourism sector, the sub-criterion of building tourist attractions with a final rating of 0.2431 is the highest. The effects of gray sewage have been taken in the direction of construction and civil development in City garden Karizland, Yazd. Therefore, taking into account that half of the urban wastewater produced in the houses turns into gray water, gray water recycling with proper management and according to sustainable development can greatly contribute to the development of City garden.

Urbanization is a developing phenomenon, and the analysis of the appropriate location and the geographical distribution of urban green space plays a significant role in the development and future of the city. Although in the past, green spaces were primarily manifested in the beautification and appearance of urban areas, nowadays, for several reasons, it is considered as a breathing space of the cities. The growth of industry and the increase in population in cities have led to speculative constructions that do not pay enough attention to health issues, provision of sufficient light and healthy air, and leisure spaces in buildings. Moreover, the necessity of creating new urban land use to meet the ever-increasing needs of urban dwellers has gradually reduced the share of urban green space, which is the consequence of limiting the access of urban dwellers to nature. But for some reason, at the beginning of the 20th century, the urban man showed a renewed attention to nature and green spaces, which manifests itself in creating functional gardens instead of recreational gardens that respond to the new needs of citizens. The present study aims to Rank the influencing factors to locate urban green spaces in Masjed Soleyman city.              

The present applied study employed an analytical-descriptive method. Reliable internal and external sources related to the subject were reviewed, and in some cases, field studies and referrals to related organizations were conducted for data collection. In this research, the DEMATEL-ANP-integrated approach was employed, and the criteria weights were calculated. Then, the layer of each weight was entered into the Arc GIS software.

As the research findings show, 14 criteria are involved in the optimal location of urban green spaces in Masjid Suleiman, distance to commercial centers, distance to waste and empty lands, distance to administrative centers, distance to medical centers, distance to educational centers, distance to existing green spaces, distance to industrial centers, distance to urban facilities and equipment, distance to military centers, distance to religious centers, distance to communication paths, and density.

The results of this study showed the priority of the mentioned 14 indicators in order from low to high: proximity to residential centers (0.09263, rank 1), proximity to educational centers (0.07428, rank 2), proximity to cultural centers (0.07268, rank 3), population density (0.07154 and rank 4), proximity to communication ways (0.07092, rank 5), proximity to religious centers (0.06979, rank 6), proximity to existing green spaces (0.06967, rank 7), proximity to medical centers (0.06934, rank 8), proximity to commercial centers (0.06923, rank 9), proximity to urban facilities and equipment (0.06902, rank 10), proximity to military centers (0.06874, rank 11), proximity to administrative centers (0.06761, rank 12), proximity to industrial centers (0.06729, rank 13) and proximity to empty and barren land (0.06726, rank 14).

Urban green space is one of the important indicators in the fields of urban planning, environmental protection and sustainable urban development policies. Knowledge of the location, amount and distribution of urban green space is a necessity. The available green space is decreasing for the purpose of developing residential lands. Today, with the progress made in the production of satellite images with high spatial and spectral resolution and remote sensing techniques, ARCGIS and image processing have made it possible to collect data and make quick and accurate decisions in environmental studies. The main goal of this research is to reveal the coverage of urban green space using object oriented processing. In order to carry out this research, IRS, Sanjande (Liss) satellite images in 2017, as well as Sentinel 2 images, bands 2, 3, 4, 8 (visible) with a spatial resolution of 10 meters were used. After making the necessary corrections, the images in the ENVI5 software environment.1 and eCognition processed that these processes include algorithms (SI, NDSI, NDVI, Brightness, etc.) to identify the area and object-based algorithms are used for evaluation. The results of this research showed that this method had a good accuracy for evaluation with an overall accuracy of 93% and a Kappa coefficient of 92%, and it was possible to detect urban green spaces using the object-oriented processing method, and it was determined that using Satellite images and object-oriented algorithms are possible to identify and investigate urban green space, and its results can be an efficient way to identify object-based algorithms and use them in future research studies

AbstractThe current research was conducted with the aim of investigating the effective factors in urban green space planning, as well as identifying the quantitative and qualitative indicators of urban green space in the region 1 of Khoy city. The current research method is applied and its approach is descriptive and analytical. The analysis of the questionnaires was done using SPSS software, also GIS maps and the Analytical Hierarchy Process (AHP) were used to analyze the research findings, and Expert Choice software was used to apply the hierarchical analysis process.The results of the research show that among the examined components, the physical component with the accessibility criterion has the most impact in urban green space planning in Region 1. The findings of the research show that the number of parks and green spaces in the region is lacking both quantitatively and per capita. The distribution of green spaces, especially parks, has been done unfairly, therefore; District 7 was prioritized for urban green space planning.Keywords: Urban green space, green space planning, quantitative and qualitative indicators, Khoy city

The main objective of this study is to analyze optimum locations to create green space by designing a geometric network of urban roads to determine the nearest green space and the best route to access the area in the district one of the Kerman city. Four descriptive qualitative matrices of suitability, adaptability, capacity, and dependence (multi-criteria-decision-making methods) were used for analyzing and spatial distribution of green spaces in the area of study. These criteria were ranked based on hierarchical reversal analysis method and then modeled in the GIS environment. Analytical functions were used by which suitable locations were determined to create green areas in district one of the Kerman city. Our results show the total area of existing green spaces in district one of the Kerman city is about 54 hectares that is insignificant compared with the district one whole area. Based on quadratic quality matrices method, we propose suitable locations to create new green spaces at about 106 hectares. Broadly speaking, the spatial analysis of green space using the method of quadratic quality matrices and hierarchical reversal analysis shows 28.7% very suitable location, 53.4% suitable location, and 17.9% unsuitable location.

The issue of quality crisis in the current situation is one of the major challenges of cities and hence one of the main concerns of decision makers, implementers and users of urban environments. Architects and urban planners believe that the environment urban landscape, although attempted to play an important role in improving urban quality, does not have the appropriate approach to respond to this issue. It seems that considering the concept of landscape, which is a visual and intellectual, the appropriate approach to respond to the needs of this issue should be accompanied by a model of both. from an landscape architectural point of view, it is important to review the development process and the need of paying attention to both visual and intellectual aspects of the phenomenon in order to preserve its natural organs. The purpose of this study is to provide a coherent theoretical framework to explain the concept of landscape quality and its components using the mental model of native landscape experts of Tehran, because the green space of this city has different qualities in each region and does not follow a specific quality pattern to meet the needs of citizens. Each of the experts in this field has pointed to one of the dimensions of the process, but a comprehensive model of the dimensions has not been presented. This study is a qualitative research that has been done using the grounded theory method. In this research, first, by studying the literature, the dimension of the process are identified and in the next step, using the data interview method of the foundation, the initial codes are extracted. In the next step, the indicators extracted from the literature are integrated with the concepts obtained from the interview and using a new analytical methodology called interpretive structural modeling (ISM), the relationships between the dimensions and quality indicators of the desired space are determined and integration is analyzed. The result has led to the design of "urban landscape quality model". The research results show that the integrated landscape quality model includes six levels, which these dimensions interact with each other.

Irregular and unstable urban development has increased marginalization, destruction of urban green areas and increased demand for urban land, which in itself has led to the disappearance of urban green spaces and land use change of such lands and is possible. Cause certain global environmental problems such as the formation of urban heat islands, because urban green space is one of the important models in achieving sustainability in urban space and the physical and natural fit of the city. At the same time, the protection of the environment and urban green space is the main pillar of sustainable development, which has been discussed in developed countries for decades and in recent years has been highly regarded by planners in developing countries. The present study, in terms of Weberchr('39')s applied and developmental purpose, is a descriptive-analytical descriptive survey or field study in which the researcher-made questionnaire tool is used and the existing maps of urban green space are used. The purpose of this study is to explain the role of green space in coastal cities in attracting tourists with the approach of sustainable environmental development in the coastal city of Noor, but in addition to the main purpose of the sub-objectives, the researcher The results also increase the per capita urban green space, increase the number of urban tourists, prevent environmental damage and increase the income of the citizens of the coastal city of Noor.

Urban parks and green spaces play a vital and important role in improving the quality of urban life and general health of citizens. The present study aimed to analyze the condition of indicators related to the green city in Shiraz metropolis using Merec and Edas techniques.

In the present quantitative study, the scope of the research was the regions of Shiraz metropolis in 2018, and 10 indicators related to urban parks and green spaces in 11 regions of Shiraz city were investigated. The required data was extracted from the Shiraz city statistics in 2018, and these data were weighted by Merec technique and used in Edas technique.

The highest final score of Edas technique was related to region 3, and the lowest score of Edas technique was related to region 8. Region 3 with a score of 0.929, region 10 with a score of 0.919, region 4 with a score of 0.761, and region 6 with a score of 0.706 had the highest scores. Region 8 of Shiraz metropolis had the lowest score with a score of 0.006. The average of the nearest neighborhood of the final Edas score of green city indicators in Shiraz metropolis was 1.760603, and the Z score was 4.825974, and it was scattered.

The final score of Edas technique of green city indicators in the eleven Regions of Shiraz metropolis in 2018 shows the inequality and imbalance in the studied Indicators.

From childhood, human destiny has been intertwined with the environment and the surrounding space. Many educators believe that the personality of every human being is formed in the first 6 years of his life. On the other hand, the expansion of vertical constructions and the use of minimal space to create houses today do not give the opportunity to build yards and safe alleys for children's physical activities (such as running, playing, exercising, etc.). It is in this context that the role of public green space in the city for adults, especially children, becomes more prominent. Therefore, by examining the needs and problems that children face in urban environments, urban space designers can plan and design appropriate to provide favorable conditions for the physical, mental, emotional and social development of children and the flourishing of their talents and interests. Security and be actively present. However, the problem of lack of green space and its inappropriate distribution can be seen in many cities in Iran. One of the main reasons for this is the lack of water supply and dry air. The city of Semnan, as one of the desert cities with special climatic conditions, needs a favorable urban green space. In the present study, which is written in an applied type and based on a research-analytical method, data collection has been done in the form of documents (library) and field. A questionnaire was prepared to examine the research indicators and distributed among different sections of society. Then, using GIS and analysis, the significance coefficient was assigned to each of the indicators. Finally, according to the research formula of the study proposed by Mr. Kambiz Bahram Soltani, the proposed per capita amount for the use of green space in the city of Semnan due to unfavorable climatic conditions, 28 square meters was proposed. The result of the research shows that the city of Semnan, considering the climatic conditions, is far from the appropriate per capita research proposal. Finally, solutions to improve green space are suggested.

The main aim of this paper is to detect the ten-year changes in urban green spaces of Tehran metropolis, from 2010 to 2019, using the time series of Landsat 5, 7 and 8 images. The change detection was done in both annual and ten-year scale and the results are analyzed in two spatial scales; City level and municipal district-level. Detection of changes was done by a post-classification approach. The innovation of the study is efforts to reach the best results in the image classification step, for which in addition to optical and thermal bands various features including some vegetation indices, water   and built-up index, image texture components, and principal components were used. Three classification methods including maximum likelihood, artificial neural network and support vector machine were implemented. The results indicated that the support vector machine has had the best result with 91.06% mean overall accuracy. The change detection showed a 10.58% decrease in the Tehran green spaces in the period under review. The greatest decrease, about 7.46 Km2, occurred in the period 1390-91 and the largest increase was 7.61 Km2 in the period 1394-95. Among the 22 municipal districts, regions 1 and 22 with 5.2 and 2.37 Km2, respectively, have had the highest decrease in urban green space, and regions 2 and 19 with 0.5 and 0.47 Km2, respectively, have had the highest increase.

Nowadays, over 50% of the world population lives in cities. The adverse effects of urbanization on the citizen's health have emerged as a result of urbanization expansion. Social health is one of the health dimensions which has been included within the definition of "health" in 1974 by World Health Organization (WHO). Increased social health is associated with physical and mental health. Meantime, women are considered as high-risk group in terms of health for their diverse roles in society. Without appropriate social health, women cannot effectively play their individual and social roles. The studies have shown that attending at urban green space could improve social health. In other words, urban green spaces inject social benefits to cities. The presence of women in urban green space is influenced by individual and environmental factors including educational level and income. Concerning the environmental factors, it could be said that the quality of urban green space is more important for women than men.The influential factors on quality of urban green space and increase of women presence could be classified in three dimensions of structural- spatial, aesthetic and perceptional- emotional. Therefore, the research objectives are the investigation of the manner of spatial distribution of social health of women in Mashhad city; the evaluation of spatial autocorrelation of social heath of women and urban green space and the determination of factors affecting women presence in urban green space in individual and environmental dimensions.

This is a mixed-method explanatory study in which quantitative method was used for evaluation of spatial communications and qualitative-quantitative method for identification of factors affecting women presence in urban green space.
In this study, just 16-64 years old women were considered since the spatial-social inequalities in health are maximized in this range. Keyes scale was used for evaluation of social health and 670 questionnaires were filled and retuned in Mashhad city. Urban green space is taken to meant the parks with an area over one hectare. Bivariate Moran index was used to determine the spatial relation of social health and urban green space and spatial analyses were performed using GIS and Geo Da software in Mashhad districts. After performing spatial self-correlation, High-Low cluster (area 7, districts 1 and 2) was realized with reverse spatial relation and Mirza Kuchak Khan Park was selected for interview and field study. 300-meter and 999-meter buffers were prepared from the intended park and for identification of effective factors, whether in individual or environmental dimension, the inhabitants of this area (up to 999 meter radius) were taken into account. For investigation of the relation between individual factors and presence in urban city space, ordinal regression test in SPSS was used and for identification of effective environmental factors, 17 semi-structured interviews were performed with the women living in the intended buffer through snowball technique and interviews were analyzed based on components of structural- spatial, aesthetics and perceptual- emotional dimensions.

The results indicated that women living in district 10 of area 3 (10-3), (8-3) and (9-2) have higher mean of social health and the mean social health of women in (8-2) and Samen district of area 1 is lower. Moran index was used to investigate the manner of spatial distribution of social health and it was obtained as 0.18, which indicates that social health distribution has been clustering. The results of bivariate Moran test showed that there is positive spatial relation between women social health and urban green space with coefficient of 0.23. If per capita urban green space increases, social health of women in Mashhad will increase. In this regard, five types of cluster in 8 municipality areas of Mashhad were constituted and the spatial relation was not meaningful in other areas. In district 7, areas 1 and 2, the inverse spatial relation was obtained and High-Low cluster was constructed. Therefore, the parks in these two areas were investigated and Mirza Kuchak Khan Park was selected as sample. Ordinal regression test was used to determine influential individual factors on presence in Mirza Kuchak Khan Park. The results indicated that from individual variables, lower level of education and higher income are meaningful in error level less than 0.05 and the relation is positive. In order to determine environmental factors, interviews with 17 women were performed based on snowball technique. In all analyses, it was tried to identify and present the least number of descriptive classes that, at the same time, had the highest compliance with diversity of opinions in interviews. The most frequently stated problems in structural-spatial dimension were lack of separate sport equipment for women in sport equipment components and lack of prayer room and unpleasant hygiene status of bathrooms in services components. In aesthetic dimension, the park condition was considered pleasant by women and in perceptual-emotional dimension among women security components, the presence of addicted people and Arabs were mentioned as the factors resulting in feeling of insecurity.

The research findings indicated positive spatial autocorrelation between social health and urban green space and suggested the possibility of increasing women presence in parks and consequently promoting their social health through improving parks' environmental condition. This study has applications for urban planners and managers since the quality of environment and the nature of developments are the main health factors. Moreover, the historical relation between urban planning and health dimensions has been emphasized. The researchers hope that the investigation of the relation between green space and social health could provide the ground for improving the quality of green spaces and therefore promoting social health of women in Mashhad. Moreover, the historical relation between urban planning and health dimensions has been emphasized. The researchers hope that the investigation of the relation between green space and social health could provide the ground for improving the quality of green spaces and therefore promoting social health of women in Mashhad.

Green spaces and urban parks should be considered among the most fundamental factors fo the sustainability of natural and human life in today's urbanization. The Selection of optimal sites for the construction of green spaces and prioritization of these sites based on different criteria can be considered according to the spatial condation of the studied area. In this study, It is tried to provide sutible plase for the construction of green space in Ardabil whih criteria such as: Economic, situational and proximity in the form of ANP model using the overlapping functions of the geography information system. The analysis of data is used from ARC GIS, MATLAB, Super Decision and Excel software. According to the final map, the lands of Ardabil city have been classified into five groups with very high, high, medium, high and very low priorities for choosing the right place to use green space. In order to match the results obtained from the model presented in the urban green space survey with the facts available in the study area, it's land use map has been prepared in GIS environment and the results of the model mentioned in the land use map have been announced. The combined use of ANP model and GIS in prioritizing and determining the best places in the city to determine uses is the innovation of this research.

The purpose of this study was to determine the spatial pattern of urban green space distribution applying the Network Analysis Process Model (ANP) and VIKOR (Case Study: District 5 of Tehran). After the Islamic Revolution, due to various reasons such as overflow of population to Tehran from the central and southern regions and the flood of refugees to Tehran, it has faced with the increase in population and development, which makes it important to study the distribution of green space in different parts of the city. Two types of questionnaires were used. The first questionnaire was completed by available sampling method from the participants in the parks of the area. The results were then analyzed using the VIKOR model. The second questionnaire was distributed among the relevant experts and analyzed using the ANP method. Considering the fact that the factors such as appropriate equipment, size and suitability for children had the highest weight, it is suggested that places for green space in the studied area should be determined in order to increase the number of green spaces. It is because, location was mentioned as an important factor. This can be achieved through the construction of parks in places close to residential areas away from military and arterial locations. Areas 5 and 2 suffered from the lack of green space and residents' dissatisfaction with the green space, thus being recommended; these are the first areas to increase green space and improve it by the municipality of the region.

Proper distribution of urban green space is one of the most important issues in urban planning and especially in management of urban green space. In other words, the physical expansion of cities destroys surrounding natural environments and arable lands. It also results in fundamental changes in ecological structure and functionof urban landscape, along with gradual changesin spatial structure and patterns of this landscape (Wang et al., 2008). Since ecosystem processes depends on its structure, landscape metrics have been accepted as a very useful tool for expressing the structure of urban green space and its human-causedchanges (Hessburg et al., 2013).There has always been discussion onacceptable per capita green space or changes in green space over time and place. Iranian cities are no exception in this regard, thougheven a city enjoying a high ratio of green space per capita may still lack enough green space per capita in some districts. This suggests the necessity of investigating various measures and avoiding studies limited to per capita green space and urban forestry. (Botequilha and Ahren, 2002). If as an ecological structure,green space is proportional to populationcomposition and distribution, ecological performance and land use type of an urban area, it can have important ecological functions. Since most studies on urban green space have primarily focused onfinding a proper location, calculating appropriate per capita green space and introducing suitable species for green space, investigatingthe spatial distribution of urban green spaceseems to be of great importance. Therefore, the present study seeks to investigate the spatial pattern and distribution of public green space in Khomein using a landscape approach.

Study area The study area, Khomein, is bounded by agricultural lands and gardens in its northeast, west, and partly in its south. Only the main area of urban texture is located on barren lands (Abbasi et al., 1986). The study area includes four districts of Khomeinin which the pattern of green space distribution isinvestigated. Methods Sentinel-2 images were used in the present study. Satellite images were processed and then, their geographical effects were extracted inthe first step of classification. Different indices were defined for each patch of the image and using supervised method, images were classified into four classes of agricultural lands, barren lands, urban parks and residential areas in accordance with the training data. Visual method was used to improve classification results. In this method, classification results are matched with the imagesand possible errors are rectified. Google Earth was used to evaluate the accuracy of results obtained from classification of satellite images. In the next step,the base map of the present study was produced and then, the layer containing urban parkswas integrated with the layers prepared for four districts of Khomein. It should be noted that the present study focuses on urban parks prepared by the municipality for public use and does not include other urban green spaceareas such as the green belt or private gardens, etc. To study the spatial distribution of green space, measures of land cover were calculated and analyzed in each of the four districts. Geographic Information System (GIS) and Landscape Measurement Analysis Program (FRAGSTATS) were among the tools used to calculate and measure landusein the present study. Landscape metrics used in the present study included: Landscape Shape Index (LSI) which measures the area of ​​the largest patch in a class divided by the total area of ​​that landscape (multiplied by 100 to convert to percent) Euclidean Nearest Neighbor distance (ENN) which is the average distance between patches in a class. Meter is used as the standard unit of measurement for this index. Perimeter /Area Ratio (PARA) which is the ratio of the perimeter of ​​the patch (m) to its area (m2). This measure lacks a specific unit and for PARA> 0 it is without a limit. Number of Patches (NP) equals the number of patchesof the corresponding patch type (class). Shape Index:sum of patches’ perimeter divided by the square root of the area of ​​the patch (ha) for each class (class surface) or the entire patch (land surface). This index iscalculated for circle standard (polygon), or square standard (grid) and divided by the number of patches. Largest Patch Index (LPI) which measures the area of ​​the largest patch in a class divided by the total area of ​​the landscape (multiplied by 100 to convert to percent) Mean Patch Size (MPS) which measures the average size of a patchin the landscape.  

District 3 ranked highest and district 1 ranked lowest in ENN indexindicating that ​​urban green space patches in this district were closer together, while green space patches in the third district were limited and far apart from each other. Regarding LPI index, the second district ranked thehighest and the third district ranked the lowest indicating that the largest urban parks in this districtwere much smaller than other districts. Other district had a relatively acceptable statusin this respect. In MPS index, district 2 with 697 patches ranked highest and district 1 with ​​564 patches ranked lowest indicating that average green space patches in district 1 were smaller. This was also confirmed by maps prepared based on other metrics.Regarding the LSI index, district 1 ranked highest and district 2 ranked lowest, while districts 3 and 4 had a similar status in this measure. The first district had the highest number of patches (NP), while the third district had the lowest NP. The highestPARA ratio was observed in District 1, and the lowestin District 4, while districts 3 and 2 ranked near the middle. In Landscape shape index which increases with the heterogeneity of patches,district 1 (with 13.12) ranked highest and District 3(6.64) ranked lowestwhiledistricts 2 and 4 ranked near the middle.This indicates the heterogeneous shape of green space patches in district 1, while showing that patches of green space in district 3 are very simple and homogeneous.Finally it should be noted that calculating landscape metrics for the four districts ofKhomein indicated a very low per capita green space in this city and also absence of a proper and equitable spatial distribution.  

Calculatinglandscape metrics in the four districts of Khomeinindicated thatcompared to other districts, district 1, located in the southern part of the city, has a more desirable status in indices such as PARA, LSI, NP, and ENN. At the same time, district 3, located in the southeastern part of the city, has the least appropriate status regarding these metrics indicating the necessity of a comprehensive analysis of green space areas in this district in near future. Urban managers and planners need to focus on this district and its green space, and if possible find appropriate sites for future green space areas in this district.Although the status of districts 2 and 4, located in the west and north of the cityrespectively, were not very desirable, theyranked higher than districts 3in NP, LPI, and MPS. Using GIS in combination with satellite imagery, and land use metrics provided an innovative way to study the gradual spatial changes in urban green space. Results of landscape metrics analysis indicated an unbalanced distribution of land use in the four urban districts in this study.

Today, with the increase of urban population, we are witnessing extensive changes in urban ecological infrastructure, so that this issue has completely affected the ecological environment and urban green infrastructure. Landscape ecology provides the possibility of achieving a balanced combination of the urban network with ecological landscape criteria in the relationship between man and nature. These criteria include a healthy environment, energy management, biodiversity, ecotourism, socio-cultural dimensions of society, ecological beauty of the landscape, etc., and with a holistic attitude in restoring, repairing and improving damaged landscapes, Improving urban green spaces, creating biological corridors and biodegradability of nature and human society in cities by considering the capabilities and physical, chemical, biological, ecological and socio-cultural processes and this processes play an important role. Improving the quality of landscapes, especially urban green space and natural areas, will ultimately lead to improving the quality of cities and ultimately improving the quality of human life. This research uses a simple review method and descriptive-analytical approach to identify ecological landscape criteria to achieve strategies to improve the green space of Nazhvan health road. These strategies include upgrading vegetation, upgrading environmentally friendly lighting, making more use of soft green landscapes instead of hard landscaping, preserving native plant species, creating ecological networks, creating natural promenades, creating massive and intimate spaces, preserving characteristics Ecological and natural and cultural resources are the correct use of non-renewable resources, minimal production of greenhouse gas production and the use of solar panels, so the proposed plans are based on these strategies.

Nowadays, cities are facing with increasing the urban heat island and reduction of the climate comfort Due to the urbanization and the reduction of urban green spaces. This research, therefore, aims to investigate green space reduction and its effects on relative humidity and temperature variability in Rasht, Iran during the period of 1964-2013. To do this, Landsat imagery, daily temperature extremes and relative humidity of the Rasht synoptic station were used. To measure the changes, NDVI, extreme temperature indices and Sen's slope estimator were applied. Results showed that the total green space in Rasht has fallen from about 7,255 hectares to 5,990 hectares and high density green space has dropped from 2855 hectares to 788 hectares. Also, DTR, ID, TN10p indices have been reduced with a 99% confidence. Whereas the indices of TR, TXx as well as TX90p with a confidence of 99%, and maximum relative humidity of Rasht with 95% confidence intervals are increased. Also, trends of the climate parameters are consistent with the green space reduction, and their trends have intensified over three consecutive decades. So that with the population doubling, the city's green space is reduced to about a third of the initial value and the indices such as DTR and FD decreased by about 4 ° C and 35 days, respectively. It seems that the increase of green space is necessary to reduce the effects of the urban heat island and the global warming for sustainable development. It should be taken into consideration in future planning.

Green space is one of the important components in the city's biological system and it is one of the basic demands of the urban community. Green space should fit with demands and physical volume of the city quantitatively and qualitatively and develop and expand in line with the ecological conditions of the city. This research was carried out to evaluate the effect of green space on the quality of urban life in order to improve the quality of life of citizens in  Ahvaz. The method of this research descriptive and post-event type. Data collection was done by using two methods of library and field studies. The statistical population of this research includes all citizens in Ahvaz city. According to Cochran formula, the sample size was 390 people. The questionnaire was distributed randomly among citizens. In this research, five parameters of quality of life in relation to green space were studied and citizens' opinions were analyzed with t-test and spearman correlation test using by SPSS software. The findings showed that the effect of urban green space on the life satisfaction score with a mean of 3.81 and on social and psychological dimensions was 2.97 in the 95% confidence level in the mean and significance level. The impact of green space on public health and environment of citizens, with a mean of 3.58, is meaningful at a high level and all parameters of quality of life with green space are directly and positively related. Green space, as part of the body structure and urban texture, has a very close relationship with people's lives. Therefore, with the increase and improvement of green space in the city, the overall quality of life can be improved