جستجوی مقالات مرتبط با کلیدواژه « پسماند شهری » در نشریات گروه « جغرافیا »

The waste management without considering the role of people who are the main waste manufacturers, will be impossible. In our country, in discussion of waste management and collection, repulsion and recycling in terms of type and quality of wastes, is diffrent from other countries of the world and has different nature and taking action from any method and technology without examining and recognizing materials and compatibility of local factors, especially the issue of citizens' participation, will not be feasible.The present research with an explanatory approach has been addressed to the issue that the capacity of citizens participation in each dimensions of managerial decision making is to be explored. The results of 24 items in the form of 385 questionnaires in 10 municipalities showed that the score obtained in the Likret scale equals 3.08 . The highest extractive averages is related to areas 1, 2, 9 and 5 are 3.15, 3.13, 3.12 and 3.11, and the lowest average is associated to area 4 equals 3.03. Despite the fact that these areas are at the average of the Likert spectrum, there is a possibility of instability in this section due to the low levels of Urban mismanagement in this section.The study 44 Index of Waste sphere and Urban Management with opinion apply of 50 Related Experts to determine the importance of factors using interaction analysis method / structural in Mic MacFase software demonstrated that the most influenced direct factors of the system are: Creating social capacity, Active participation of beneficiaries people, Social trust, Social capital, Institutions and civil, society,organizations (CSO), Interaction and balance between participater and participating,Education of citizenship rights and NGO assignments. The effects obtained showed the role of social factors, cultural infrastructure and the role of beneficiaries.

Improper waste management threatens the sustainability of the environment. Defining an optimal and sustainable system for waste disposal requires the examination of all processes within the system, their impact on the environment, economic aspects, implementation, and energy consumption in each part. The present study was conducted with the goal of modeling the municipal solid waste management system of Rasht County based on the life cycle assessment approach. In this regard, two existing disposal scenarios and the development plan for the future were compared. The first scenario (existing disposal) includes the sale of recycled waste, biological processing (compost production), and landfilling. The second scenario (development plan) involves the use of an incinerator in addition to previous disposal methods. After collecting data using the IWM-2 model, the environmental impacts of each scenario were assessed. The results show that if the second scenario assumptions are applied, the amount of energy consumption, pollutants, and global warming will decrease relative to the first scenario. Total energy consumption in the first and second scenarios is respectively +3891 and -1683234 Gj. In addition, the global warming potential is reduced due to the reduction of landfills, reduced transportation and fuel consumption, improved equipment, and energy recovery in the second scenario. In general, environmental performance in the second scenario will be improved if appropriate action is taken. Reducing landfill and greenhouse gases, increasing recycling, etc., are the main reasons. Although incineration reduces landfilling in Saravan, it is still the proper design of the landfill, and energy utilization from it provides a favorable life cycle of waste management based on the second scenario. Moreover, the use of waste incineration is justified only if pollution and energy recovery standards are respected. Modifying the components and capacity of each disposal option produces new results. In this context, it is suggested to use alternative models.

The excessive increase in the urban population in recent years has caused an increase in consumption and, as a result, the production of all kinds of waste in urban areas. Currently, one of the most important environmental issues in the city of Tabriz is urban waste management. Knowing the opinions and participation of citizens in waste management is essential. Therefore, the current research aims to identify and explain the key drivers affecting citizens' participation in urban waste management. The current research method is an explanatory description with practical-developmental goals. The required data has been collected in two documentary and field methods. The statistical population is all citizens of the Tabriz metropolis. The results showed that the score obtained on the Likert scale is equal to 3.08. The highest averages for regions 1, 2, 9, and 5 are 3.15, 3.13, 3.12, and 3.11, respectively, and the lowest for region 4 is 3.03. Despite the obtained results, there is a possibility of instability due to the low averages obtained. The relationships between them were explained by extracting 44 factors, applying the opinions of 50 experts to determine the importance of factors, and using the interaction/structural effects analysis method in Mic Micmac Fuzzy software. The results showed that the most effective direct factors include social capacity building, active participation of stakeholders, social trust, social capital, civil society institutions and organizations (CSO), establishing interaction between the participant and the participant, and training the rights and duties of citizenship and NGOs. The obtained factors show the role of social factors, cultural infrastructure, and bottom-up planning, which have been associated with positive feedback and successful experiences worldwide in recent years.

The increase in the amount and variety of urban waste and its lack of proper management is known as one of the most important problems of human society, the result of which is the creation of environmental and health pollution, therefore, the present study was conducted with the aim of investigating the state of urban waste management with the approach of Separation from origin in Shirvan city. The research method is applied in terms of purpose, and descriptive-analytical in terms of method, and the method of collecting information is a survey that uses the self-made questionnaire tool of the researcher. The statistical population was all the residents of Shirvan city, which according to the census of 2115, there were 826689 people, which is appropriate for this population and using the Cochran formula, the number of 384 people has been considered as a statistical sample. The research variables are designed in the form of five indicators and twenty-five items. The reliability of the questionnaire has been confirmed using Cronbach's alpha coefficient.The results show that the index of spatial characteristics and the increase of citizens' participation in separation from the origin with a value of (19992); economic and social base and citizen participation with value (19111); The relationship between spatial characteristics and the state of separation from the origin with the value (19220) have a strong and positive correlation, even though this issue has not been taken into consideration in Shirvan city, and from this point of view, the status of indicators of urban waste management with the approach of separation from the origin has been unfavorable, and there is a need for indicators such as spatial characteristics, increased participation Citizens in separating from the source of urban waste and the socio-economic base and increasing the participation of citizens in separating from the source of urban waste as the most important factors influencing each other should be given special attention by city managers so that it can have usable results in decisions in urban management.

The increase in Solid waste has been generated as a result of rapid population growth and increasing urbanization. A one-dimensional waste management system has had negative environmental consequences as well as increased costs. The Integrated Solid Waste Management (ISWM) model is one of the most effective ways to reduce waste's economic and environmental costs. This futures research sought to identify the key indicators influencing the Integrated Solid Waste Management (ISWM) model in order to develop waste management scenarios for Mashhad. The study's statistical population included 25 experts (Mashhad Waste Management Organization (MAP)) and specialists (academic). Then, using MicMac, 10 indicators were identified as key drivers out of 23 effective indicators. Possible scenarios for urban waste management based on Integrated Solid Waste Management (ISWM) for Mashhad were identified by formulating 30 uncertainty hypotheses for the drivers using a cross impact matrix and ScenarioWizard. According to the findings, there were 59048 possible scenarios, with only 5 having high compatibility and being more likely to occur. The first and second scenarios, which received a total score of 167 and 149 as probable favorable scenarios, respectively, provided promising conditions for the future of waste management in Mashhad. The third, fourth, and fifth scenarios were identified as critical (unfavorable) scenarios, indicating unfavorable conditions for the future of waste management in Mashhad. Finally, the first scenario was identified as the most desirable scenario, while the fourth scenario was identified as the most critical (unfavorable) scenario for the advancement of waste management in Mashhad.

Nowadays, spatial models and techniques are widely used to analyze challenges at urban and regional levels. These models and techniques can identify the relations between different variables, evaluate their impact on spatial spheres, and thus aid urban planners and managers. Recently, solid waste and the amount of waste generated in urban areas have gained attention as a major global challenge and the World Bank has highlighted the importance of an acceptable global approach to the issue of urban waste in 2016 (World Bank, 2016). Urban waste impacts the city and its urban management system in different ways such as urban environment degradation, economic impacts and the challenges of urban landscape. Different factors impact urban solid waste generation and investigating the relation between these variables can help urban planners and managers formulate general plans and policies to reduce urban waste. But a mere examination of the relationship between factors affecting urban waste generation and the variables proposed by the World Bank cannot provide a good estimate of the future status, since spatial factors always impact the quantity of urban waste generated. Therefore, spatial models and artificial neural networks were proposed and discussed. Geographically Weighted Regression is one of these methods used to investigate the relationship between different factors affecting urban waste generation. Geographically Weighted Regression can investigate the relationship between different variables, examine their impact on the city and predict the relationship between different variable of urban waste generation and their impact on the city in the future. The artificial neural network was also used to assess the nature of data and predict the future status of urban waste.  

The study area consists of 22 districts, 123 zones (116 zone due to the availability of supplementary information of 2011-2012 regarding the districts of Tehran), 40323 statistical areas and 895247 land uses of Tehran. Data were classified in three stages.  The first phase includes the information collected from Tehran waste management organization regarding urban waste in 1996 to 2016. In the second phase, information was collected from statistical center of Iran regarding demographic segments and social components. Finally, data were collected from Tehran municipality in the third phase providing useful information about urban performance (Land use).  

Physical-environmental components and especially land use directly impact urban waste generation. However, results indicate that some land uses such as institutional and publicbuildings gradually stop the increasing process of urban waste generation due to a decrease in their population as compared to residential land use. Population density and income ratio are investigated as the first and second rank variables. These two variables have directly impacted the amount of urban waste generation in most districts of Tehran. From central areas of the 6th district to the southern areas of the 20th district, southeastern areas of the 18th district and eastern areas of the 4th district of Tehran were influenced by population variables. In other words, the amount of urban waste generation is increased with increased population density in these district. However, the amount of urban waste generation in the 22nd and 21st districts do not change with the above mentioned variables. Results indicate that different urban development plans and policies increase population and area dedicated to different land uses and thus, play an important role in urban waste generation. The 22nd and 21st districts are in a desirable status regarding variables such as area, population, and urban waste generation, but predictions indicate that they will reach a similar status and face challenges related to urban waste generation in 10 years. Spatial distribution pattern of urban waste generation in Tehran indicates that the eastern and southern districts produce the highest amount of urban wastes. This pattern is gradually moving from central to western and central districts, and without a plan to control the situation, the pattern will move from east to west and south to north of Tehran in the next 10 years. Based on the results of spatial autocorrelation and a comparison with the results of the least squares method, Geographically Weighted Regression was considered as a suitable method of predicting urban waste variables in Tehran. This indicates that spatial variables affect urban waste generation in Tehran. Moreover, artificial neural network is capable of predicting non-spatial nature of relations among different variables of urban waste generation and thus can predict the amount of urban waste generation in Tehran.  

Results not only identify (physical-environmental, economic and social) variables affecting urban waste generation, but also indicate superiority of Geographically Weighted Regression technique at spatial and non-spatial levels as compared to the least-squares regression and artificial neural network.

In today’s society solid waste management is one of the most important concerns of mankind. Increasing waste volume and diversification of waste has added to the complexity of waste collection and disposal.Landfill if not handled property will cause contamination of water, soil and air…According to the latest census of the year, the fixed population of the city of Rhine is 982 people. The population reaches about 3000 to 4000 people in the four monthes of the year. On average, the amount of waste product in in the city of Rhine is between 3 and 3.5 tonnes per day. In the city of Rhine, landfill and incineration methods are used to dispose of municipal solid wasre. Therefore, choosing the right location for landfill is important.In the present study, it has been attempted to identify the best location for landfill sanitation considering ecological factors in order to minimize environmental damage. For this purpose, the location of municipal solid waste landfill was determined by using spatial analysis in GIS environment. The required digital data were collected for this purpose and using the hierarchical analytical method of AHP, the criteria were evaluated and then taken to the GIS environment. Due to limitations in the initial data collection, several factors were not taken into account, including the distance between walls and groundwater. In future research, by carefully examining all the factors, one can increase the accuracy and specify a more accurate burial site.