Megacity Istanbul Research Articles

Offshore and onshore renewable energy system modelling to meet the energy demand of megacity Istanbul

In this study, a renewable energy system was designed using offshore and onshore energy sources to meet the electricity demands of the megacity Istanbul. Istanbul spends about 11 % of Turkey's consumption according to 2022 data, this electricity fee is generally supplied from fossil fuels, which cause large amounts of greenhouse gas emissions. In this study, to increase the usage of clean energy sources, a detailed analysis of the appropriate land was performed to install the necessary wind farms and solar farms, considering the electricity consumption of both the European and Anatolian sides of Istanbul. A new integrated approach using Geographic Information Systems (GIS), Multi-Criteria Decision Making (MCDM) and Analytical Hierarchy Process (AHP) was presented to determine the locations of offshore and onshore power plants to be installed. The analysis with a new approach took into account important criteria such as land cover, power transmission lines, substations, and settlements of the location. Moreover, HOMER software optimized the power plant’s energy production potential and components to be installed on the European and Anatolian sides. The megacity was considered as two sides, the overall power output on the European side was obtained as 2874.6 GWh/yr in HOMER; however, the Anatolian side was 158 GWh/yr. It was obtained that wind energy had a significant potential to produce electricity throughout the entire megacity. According to the results of the cost analysis, the European side with a cost of electricity (COE) of 0.0105 $/kWh is conspicuous, and the COE of the Anatolian side is 0.015 $/kWh.

Performance Analyzes of Thermodynamic Indices and Atmospheric Parameters in Thunderstorm and Non-thunderstorm Days in Istanbul, Turkey

This study aims to analyze the thunderstorm (TS) events in the megacity Istanbul by using thermodynamic indices and atmospheric stability parameters for the period of 2001–2022. It was determined that TS events did not show any trend on an annual basis, mostly (%69) occurred in the warm season (May–September), and mostly (%93) lasted for a few hours (0–3 h). The thermodynamic indices and atmospheric stability parameters used in the study are Showalter Index (SI), Lifted Index (LI), Severe Weather Threat Index (SWEAT), K-Index (KI), Totals Totals Index (TTI), Convective Available Potential Energy (CAPE), Convective Inhibition (CIN), and Bulk Richardson Number (BRN). Annual and seasonal analyzes of all indices and parameters were performed for TS and non-TS events. Significant differences were found in both average, maximum, and minimum values. The Probability of Detection (POD), False Alarm Ratio (FAR), Miss Rate (MR), Critical Success Index (CIS), Hiedke Skill Score (HSS), and True Skill Score (TSS) were used to analyze the success of the threshold values presented in the literature in detecting TS events. Then, the seasonal successes of these threshold values were tested. It was observed that the performance of the selected indices varied across seasons. The highest predictive skill was generally observed during the summer season, with the POD value ranging between 0.58 and 0.97 and the TSS value varying between 0.32 and 0.57. Conversely, the lowest predictive skill was typically observed during the winter season, where the POD value ranged from 0.00 to 0.75 and the TSS value varied between 0.00 and 0.40. The ideal threshold values were determined for indices and parameters by increasing or decreasing the existing threshold values at certain rates. Success increases of up to 15% in skill scores for the proposed threshold values.

Understanding the Contribution of Conventional Media in Earthquake Risk Communication

To mitigate the damage from and prepare for disasters, individuals and communities should be involved in the disaster risk reduction efforts. Communicating the risk effectively is the essential step of this involvement. Risk communication is a multidisciplinary field. Disaster managers have to work closely with the media, among other partners, but there is a gap in their understanding of each other’s roles. This study aims to explore the process of publishing and broadcasting earthquake information through the experiences of media professionals, to understand how journalists and news organizations function before and after disasters, and to provide evidence to help bridge the gap between disaster managers and/or public health authorities and disaster journalists and/or news organizations., especially in earthquake preparedness. Thirteen in-depth interviews were conducted with editors/journalists from national newspapers and TV channels. A good context for investigating these issues is afforded by the megacity Istanbul and the Turkish media. Turkey is a land of earthquakes. A further strong earthquake is expected to hit in the near future. The findings, which gave valuable hints for better collaboration, are presented according to the focus of the question guide: time of and norms for publishing or broadcasting news or information about earthquakes; content of the news or information; disaster journalism and guidelines.

The green divide and heat exposure: urban transformation projects in istanbul

Extreme heat events are happening more frequently and with greater severity, causing significant negative consequences, especially for vulnerable urban populations around the globe. Heat stress is even more common in cities with dense and irregular planning and lacking urban blue-green infrastructures. This study investigates the greening and cooling effects of five selected urban transformation projects and their surrounding areas (within a 10-min walking distance) in Istanbul from 2013 to 2021, with a focus on environmental justice and climate adaptation planning perspectives. By employing temporal analysis of Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) values derived from Landsat data sets to detect changes in these five selected urban transformation projects in the megacity of Türkiye, Istanbul, this study finds that the distribution of green infrastructures (e.g., tree canopy) is only limited to project sites of long-running and state-supported urban transformation projects in Istanbul. Consequently, the unequal distribution of green infrastructures creates cooling effects only for the locals residing in the new residential projects. However, the surrounding areas have less urban green infrastructure and are exposed more to the urban heat over time. Urban development policies and planning highly contribute to increasing the climate vulnerabilities among those who do not benefit from the recently developed residential units in Istanbul. Such a trend can affect adaptive capacity of vulnerable communities and redress environmental injustices in urban planning in the megacity of Istanbul.

An Assessment of Long-Term Urban Heat Island Impact on Istanbul’s Climate

Istanbul with its high urban population increase and rapid rate of its unplanned urbanization, it is critical to investigate the relations between urban heat island, population growth, and changes in the urban land use. The aim of this work is to study the local climate change and the effects of urbanization on urban climate of megacity Istanbul. Temporal variations of urban heat island (UHI) and UHI intensity in Istanbul were analyzed by using air temperature data measured by five meteorology stations for the period of 1951–2020. Minimum, maximum, and mean temperature data of Istanbul were used to understand the possible impacts of urbanization on the climate of the megacity. In addition, Corine Land Cover (CLC) datasets for the years 1990, 2000, 2012, and 2018, were used to visualize the spread of urban cover throughout the city. Seasonal observations data were statistically tested for monotonic trends. Significant upward trends in temperature were found in all selected stations, both rural and urban. The air temperature in urban areas, densely populated residential areas of the Istanbul, has increased more in years compared to its rural parts. The results showed an increase of night time (minimum temperature) temperature in both urban and rural stations between 0.010 – 0.047 °C yr-1 and an increase of daytime (maximum temperature) in all stations between 0.026 – 0.034 °C yr-1. The urban heat island impact increased over Istanbul with the expansion of the urban areas toward rural areas further reducing green areas.

Crustal velocity images of northwestern Türkiye along the North Anatolian Fault Zone from transdimensional Bayesian ambient seismic noise tomography

SUMMARY Türkiye poses a complex crustal structure and tectonic settings owing to the northward convergence of the Arabian and African plates with respect to the Anatolian and Eurasian plates. A reliable 3-D crustal structure of the unruptured segment of the North Anatolian Fault Zone (NAFZ) in the Sea of Marmara is thus of utmost importance for seismic hazard assessments considering that the megacity Istanbul—with more than 15 million habitants—is close to this seismic gap. This study provides high-resolution shear wave velocity images of northwestern Türkiye, including the NAFZ, revealed from ambient seismic noise tomography. We extract over 20 000 Green’s functions from seismic ambient noise cross-correlations and then construct group velocity perturbation maps from the measured group delays with a transdimensional Bayesian tomographic method. We further perform an S-wave velocity inversion to image depth-varying velocity structures. Our high-resolution data allowed us to image S-wave velocities down to 15 km depth and reveal weak crustal zones along the NAFZ, as indicated by low shear wave velocities. We find a low-velocity zone along the Main Marmara Fault, linked with aseismic slip and a deep creep mode. Furthermore, we identify a high-velocity anomaly associated with the unruptured section that defines the boundaries of the locked zone in the crust, which can potentially trigger a destructive earthquake in the future.

Regional inequalities and the West–East divide in Turkey since 1913

AbstractThis paper examines the evolution of regional disparities within the present‐day borders of Turkey since 1913. Based on our estimates for 58 provinces, we findβ‐convergence, an inverse U, and more recently, the beginnings of an N‐shaped pattern for value added per capita. We also find that regional disparities in Turkey exhibit a number of special features that do not easily fit the well‐studied pattern of the early industrializers. First, while per capita value added in other regions moved towards country averages, the differences between the East and the rest of the country persisted and even increased until recently. Second, spatial distribution of economic activity became more concentrated over time due to continued migration to the megacity of Istanbul. Third, we find that regional disparities in per capita value added in Turkey and other developing countries have been higher than those experienced by the early industrializers. These findings raise questions about the extent to which the regional disparities experiences of Turkey and other developing countries have been different than those of the early industrializers.

Analysis of Home Healthcare Practice to Improve Service Quality: Case Study of Megacity Istanbul.

Home healthcare services are public or private service that aims to provide health services at home to socially disadvantaged, sick, needy, disabled, and elderly individuals. This study aims to increase the quality of home healthcare practice by analyzing the factors affecting it. In Megacity Istanbul, data from 1707 patients were used by considering 14 different input variables affecting home healthcare practice. The demographic, geographic, and living conditions of patients and healthcare professionals who take an active role in home healthcare practice constituted the central theme of the input parameters of this study. The regression method was used to look at the factors that affect the length of time a patient needs home healthcare, which is the study's output variable. This article provides short planning times and flexible solutions for home healthcare practice by showing how to avoid planning patient healthcare applications by hand using methods that were developed for home health services. In addition, in this research, the AB, RF, GB, and NN algorithms, which are among the machine learning algorithms, were developed using patient and personnel data with known input parameters to make home healthcare application planning correct. These algorithms' accuracy and error margins were calculated, and the algorithms' results were compared. For the prediction data, the AB model showed the best performance, and the R2 value of this algorithm was computed as 0.903. The margins of error for this algorithm were found to be 0.136, 0.018, and 0.043 for the RMSE, MSE, and MAE, respectively. This article provides short planning times and flexible solutions in home healthcare practice by avoiding manual patient healthcare application planning with the methods developed in the context of home health services.

Millennials' changing mobility preferences: A telecommuting case in Istanbul

AbstractDaily mobility behaviors, especially in cities with high traffic density, are among the most fundamental drivers of quality of life. Obligatory commuting necessitates individuals sacrificing their time, money, and geographic freedom to ensure their mobility. The personal cost of fatigue, stress, and environmental cost of carbon emissions is likewise substantial. The COVID‐19 pandemic led to a widespread shift to telecommuting. The pandemic has permitted an unprecedented opportunity to study Millennials' attitudes towards commuting and telecommuting. A semi‐structured interview method was used with Millennial (now the largest percentage of the workforce) white‐collar (disproportionately able to do their work remotely) workers living in the megacity of Istanbul to understand how telecommuting has altered consumer commuting habits, values, preferences, and well‐being. The results of this study show that Millennial white‐collar workers in Istanbul see compulsory commuting as a waste of time, a stress factor, and an unwanted task. The shift towards telecommuting lowered the Millennials' tolerance for traffic and long commutes and reveals willingness for immobility at peak hours and appreciation of spatial independence as a lifestyle that increases quality of life. The need for understanding transport decisions has never been more pressing with the growth of megacities and the climate change crisis. This research has important implications for white‐collar employees and their employers, as well as academics and public policy makers, who seek to understand mobility preferences and lifestyles of different generations and the environmental implications in a dynamic environment.

Urban climate resilience and water insecurity: future scenarios of water supply and demand in Istanbul

ABSTRACT For millennia, cities have invested in inter- and intra-regional infrastructure to transfer water from neighboring sources. This study analyzed how climate change can affect the balance of water supply and demand in the megacity of Istanbul, Turkey over the next 100 years. The Water Evaluation and Planning (WEAP) method was used to examine three long-term scenarios for water availability based on differences in water supply: 1) a continuation of current supply sources; 2) expansion of water resources based on construction of additional water infrastructure; and 3) reduction in water resources to rely on local resources only. Our findings show that extending dependence on inter-regional water supplies is not only likely to increase Istanbul’s own water insecurity, but may also affect the human populations, biodiversity and economies of neighboring cities, representing an unsustainable solution that can only exacerbate regional water insecurity in the long run.

Meso-Scale Comparison of Non-Sea-Effect and Sea-Effect Snowfalls, and Development of Prediction Algorithm for Megacity Istanbul Airports in Turkey

This study aimed to determine the atmospheric conditions in which sea-effect snow (SES) and non-SES events occurred in a meso-scale structure. All snow events between 2009 and 2018 were found by examining the aviation reports at two international airports in Istanbul, Turkey. Then, threshold values and threshold intervals were presented for SES and non-SES events on the basis of many meteorological parameters (e.g., air temperature, dew point, relative humidity, heat fluxes, sea surface temperature (SST)). In addition, an algorithm was created for operational prediction of SES events at both airports. The most important parameter that distinguished SES events from NON-SES events was the temperature difference between sea surface (SS) and upper-atmosphere air parcel. Accordingly, sensible and latent heat fluxes had similarly higher values in SES events on average. Although the wind directions were mostly northerly in both event types, low wind shear in the layer between the SS and sub-inversion was prominent in SES events. For average snow depths, higher depths were measured in SES events than in non-SES events. In the same snow depth range, the heat fluxes were mostly high in SES events; on the other hand, the relative humidity values were lower.

Distribution and sources of SVOCs in fine and coarse aerosols in the megacity of Istanbul

Approximately 15.4 million people are continuously exposed to various air pollutants in the megacity of Istanbul. Anthropogenic activities in Istanbul generate emissions from mobile sources (i.e., vehicles, aircraft, ships, etc.) and stationary sources such as industrial and residential heating emissions. Biogenic emissions and long-range transport such as desert dust from Sahara and pollutants from Balkan countries also contribute to the local air pollution in Istanbul. In this work, fine (Dp < 2.5 μm) and coarse (Dp > 2.5 μm) particles were collected with a high-volume sampler during four seasons of the period Jan 2017 - Jan 2018. A total of 15 PAHs and 28 n-alkanes were identified and quantified with a newly developed thermal desorption – gas chromatography with mass spectrometry method (TD-GC–MS). Source analysis was performed with PAH and n-alkane diagnostic ratios, and source apportionment was performed with principal component analysis. The yearly averages of PAHs and n-alkanes in the fine fraction were 21.6 ng m−3 and 103.8 ng m−3, with daily averages of 7.1–80.8 ng m−3 and 55.3–204.2 ng m−3, respectively. Approximately 90% of the PAHs and n-alkanes were found in the fine PM fraction in this traffic site. The BaP carcinogenic (BaP-TEQ) and mutagenic (BaP-MEQ) equivalents were on average 5.47 ± 0.64 and 4.72 ± 0.8 ng m−3 in the fine fraction, respectively, and were approximately 6–7 times lower in the coarse fraction. This has important implications due to the respirable nature of fine aerosols and their longer lifetimes in the atmosphere. Multivariate analysis coupled with principal component analysis led to an important result that the organic aerosol mainly originates from two local sources: road traffic (50.4%) and shipping emissions (26.6%). The results found in this work indicate the urgent need for the application of mitigation measures to control road traffic and minimize the emissions from ships passing through the İstanbul Bosphorus.

Clustering Framework to Cope with COVID-19 for Cities in Turkey

Introduction: This article is the product of the research “Clustering Framework to Cope with COVID-19 for Cities in Turkey”, developed at Bayburt University in 2021.&#x0D; Problem: Turkey's risk map, presented in January 2021, to take local decisions in tackling the COVID-19 pandemic was based on confirmed cases only. Health, socio-economic and environmental indicators are also important for management decisions of COVID-19. The risk map to be designed by adding these indicators will support more effective decisions.&#x0D; Objective: The research aims to propose a clustering scheme to design a risk map of cities for Turkey.&#x0D; Methodology: The unsupervised clustering algorithm suggested dividing the cities of Turkey into clusters, considering health, socio-economic, environmental indicators, and the spread pattern of COVID-19.&#x0D; Results: We found that cities are clustered into five groups while megacity Istanbul alone formed a cluster, three of Turkey's largest cities formed another cluster. Other clusters consist of 19, 26, and 32 cities, respectively. The most important determinants which have predictive power are identified.&#x0D; Conclusion: The suggested clustering method can be a decision support system for policymakers to determine the differences and similarities of cities in quarantine decisions and normalization phases for the following periods of the pandemic.&#x0D; Originality: To the best of our knowledge, this study differs from previous studies because countries were grouped in previous studies only considering the confirmed cases. In this study, cities were clustered in terms of the health, socio-economic, and environmental indicators to make decisions locally.&#x0D; Limitations: The distribution of confirmed cases by age could be added, especially to make decisions about education, but this data is not officially announced.&#x0D;

Source characteristics and seismotectonic implications of the 26 September 2019Mw 5.7 Silivri High-Kumburgaz Basin earthquake and evaluation of its aftershocks at the North Anatolian Fault Zone (Central Marmara Sea, NW Turkey)

SUMMARYThe Central Marmara Sea region hosts the northwestern branch of the North Anatolian Fault Zone (NAFZ) with its known seismic gap between the 1912 Ganos (Mw 7.2) and 1999 Izmit (Mw 7.4) major devastating earthquakes and thus poses a significant seismic hazard potential for the megacity Istanbul. The 26 September 2019 Mw 5.7 Silivri High-Kumburgaz Basin (central Marmara Sea) earthquake ruptured a thrust fault with a minor strike-slip component at the north of the eastern end of this gap relatively in the shallow depth (h= 8 km) range. Thus, in this study, we examine source properties of the main shock activity and coseismic behaviour of the failure, and the pattern of post-seismic deformation based on the aftershock distribution to have an insight into the role of the subsidiary and main fault structures on the crustal kinematics along this complicated branch of the NAFZ. The relocated epicentres are aligned in the E–W direction and tend to propagate towards the segments to the east of the main shock. The detected aftershock activity appears to focus on the east side of the main shock and almost no seismic activity was observed to the west of the epicentre. Independent investigations from coda-wave fitting, point-source, and finite-fault slip modelling agree on the moment magnitude of Mw5.7 for the 26 September 2019 main shock. The kinematic rupture model of this event implied that the main rupture nucleated around the hypocentre, and then propagated bilaterally along the E–W direction but with significant progress towards the east. The distribution of the slip vectors indicates that the rupture evolved on a dextral thrust fault plane. The spatio-temporal behaviour of the overall aftershocks sequence, their focal mechanism solutions and our kinematic slip model clearly shows that the existing secondary structures developed in simple shear dextral deformation are likely responsible for the main shock activity. We conclude that such type of deformation model results in a motion in response to the thrust faulting with strike-slip component with an N89°W (271°) orientation and 33°NE dipping at left stepover transpressional region on the NAFZ.

Assessment and simulation of water transfer for the megacity Istanbul

ABSTRACT The population of Istanbul increased from three to fifteen million from 1970 to 2018. The city, which has no perennial fresh water resources within its metropolitan boundaries, has long imported water from other basins. In this study, the performance of a reservoir system fed by surface runoff and inter-basin water transfer is investigated and applied. Simulations are run for water demand estimates and with Gamma-distributed realizations of monthly precipitation, based on 105-year temperature and precipitation data. The research shows that after 2060, existing and transferred water alone will not be sufficient to meet demand and it is expected that the megacity Istanbul will be on a path towards water crisis after this date, if not before. It is concluded that it is vital to adopt a more diversified water supply and demand management portfolio with extensive Integrated Water Resources Management (IWRM) measures for “Water Sensitive Cities”. Strategies for reliable system operation that take foreseeable environmental problems into account are proposed.

Evaluation of waste management using clustering algorithm in megacity Istanbul

Industrialization and urbanization are increasing with the effect of globalization worldwide. The waste management problems are rising with the rising population rate, industrialization, and economic developments in the cities, which turned into environmental problems that directly affect human health. This study aims to examine waste management performance in the districts located in the city of Istanbul. To ensure that the districts are clustered in terms of the similarities and differences base on waste management. On this occasion, the authorized unit managers of the districts in the same cluster will be able to establish similar management policies and make joint decisions regarding waste management. In addition, the division of districts into clusters according to the determining indicators can provide information about the locations of waste storage centers. Also, these clusters will form the basis for the optimization constraints required to design appropriate logistics networks. Waste management performance of 39 districts in Istanbul in 2019 was compared by taking into consideration domestic waste, medical waste, population, municipal budget, and mechanical sweeping area. The data were obtained from The Istanbul Metropolitan Municipality (IMM) and Turkey Statistical Institute (TURKSTAT). One of the non-hierarchical clustering methods, the K-means clustering method, was applied using IBM SPSS Modeler data mining software to determine the relations between 39 districts. As a result, the waste management performance of the districts was evaluated according to the statistical data, similarities and differences were revealed by using the determined indicators.

Prediction of medical waste generation using SVR, GM (1,1) and ARIMA models: a case study for megacity Istanbul.

Estimation of the amount of waste to be generated in the coming years is critical for the evaluation of existing waste treatment service capacities. This study was conducted to evaluate the performance of various mathematical modeling methods to forecast medical waste generation of Istanbul, the largest city in Turkey. Autoregressive Integrated Moving Average (ARIMA), Support Vector Regression (SVR), Grey Modeling (1,1) and Linear Regression (LR) analysis were used to estimate annual medical waste generation from 2018 to 2023. A 23-year data from 1995 to 2017 provided from the Istanbul Metropolitan Municipality's affiliated environmental company ISTAC Company were utilized to examine the forecasting accuracy of methods. Different performance measures such as mean absolute deviation (MAD), mean absolute percentage error (MAPE), root mean square error (RMSE) and coefficient of determination (R2) were used to evaluate the performance of these models. ARIMA (0,1,2) model with thelowestRMSE (763.6852), MAD (588.4712), and MAPE (11.7595) valuesand the highestR2 (0.9888) value showed a superior prediction performance compared to SVR, Grey Modeling (1,1), and LR analysis. The results obtained from the models indicated that the total amount of annual medical waste to be generated will increase from about 26,400 tons in 2017 to 35,600 tons in 2023. ARIMA (0,1,2) model developed in this study can help decision-makers to take better measures and develop policies regarding waste management practices in thefuture.

A model for the sustainability assessment based on the human development index in districts of Megacity Istanbul (Turkey)

A model for the sustainability assessment based on the human development index in districts of Megacity Istanbul (Turkey)

Composition and variability of gaseous organic pollution in the port megacity of Istanbul: source attribution, emission ratios, and inventory evaluation

Abstract. In the framework of the TRANSport Emissions and Mitigation in the East Mediterranean (TRANSEMED/ChArMEx) program, volatile organic compound (VOC) measurements were performed for the first time in Istanbul (Turkey) at an urban site in September 2014. One commercial gas chromatograph coupled to a flame ionization detector (GC–FID) and one proton transfer mass spectrometer (PTR-MS) were deployed. In addition, sorbent tubes and canisters were implemented within the megacity close to major emission sources. More than 70 species including non-methane hydrocarbons (NMHCs), oxygenated VOCs (OVOCs), and organic compounds of intermediate volatility (IVOCs) have been quantified. Among these compounds, 23 anthropogenic and biogenic species were continuously collected at the urban site. VOC concentrations show a great variability with maxima exceeding 10 ppb (i.e., n-butane, toluene, methanol, and acetaldehyde) and mean values between 0.1 (methacrolein + methyl vinyl ketone) and 4.9 ppb (methanol). OVOCs represent 43.9 % of the total VOC concentrations followed by alkanes (26.3 %), aromatic compounds (20.7 %), alkenes (4.8 %), terpenes (3.4 %), and acetonitrile (0.8 %). Five factors have been extracted from the Positive Matrix Factorization model (EPA PMF 5.0) and have been compared to source profiles established by near-field measurements and other external variables (meteorological parameters, NOx, CO, SO2, etc.). Surprisingly, road transport is not the dominant source, only explaining 15.8 % of measured VOC concentrations contrary to the local emission inventory. Other factors are toluene from solvent use (14.2 %), biogenic terpenes (7.8 %), natural gas evaporation (25.9 %) composed of butanes, and a last factor characterized by mixed regional emissions and composed of most of the species (36.3 %). The PMF model results point out the influence of industrial emissions while there is no clear evidence of the impact of ship emissions on the measured VOC distribution. For the latter additional measurements of organic compounds of lower volatility like IVOC would be helpful. The sensitivity of PMF results to input data (time resolution, meteorological period, peak episode, interpolation method) was tested. While some PMF runs do not perform as well statistically as the reference run, sensitivity tests show that the same factors (number and type) are found with slightly different factor contributions (up to 16 % of change). Finally, the emission ratios (ERs) of VOCs relative to carbon monoxide (CO) were established. These ratios are usually higher than the ones of other cities worldwide but in the same range of magnitude. These ERs and the road transport factor from PMF were used to estimate VOC emissions and to evaluate three downscaled global emissions inventories (EDGAR, ACCMIP, and MACCity). It was found that the total annual VOC anthropogenic emissions by global inventories were either within the same range by a factor of 2 to 3 for alkanes and aromatics or underestimated by an order of magnitude, especially for oxygenated VOCs.

ÇEVRESEL SÜRDÜRÜLEBİLİRLİK VE KAPALI KONUT SİTESİ İLİŞKİSİNİN ISTANBUL, BEYKOZ’DA İNCELENMESİ

The aim of this study is to investigate the loss of natural areas because of urban expansion through gated communities, the numbers of which are constantly increasing and to determine how the process is developing . The field of the study was Beykoz, which is located in the megacity of Istanbul, which is home to the greatest number of gated communities in Turkey and where the first examples of gated communities appeared . The transformation of forest areas was evaluated through the examples of two different typologies that are located on the outskirts of the city: an exclusive villa community and a private town gated community.