City and Regional Planning / Şehir ve Bölge Planlama

Permanent URI for this collectionhttps://hdl.handle.net/11147/4274

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Author: search.filters.author.Evrendilek, Fatih

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  • Article
    Citation - WoS: 4
    Digital Terrain Characterization and Interpretation of Lake Van Region for Earthquake Vulnerability Combining Remote Sensing and Geographical Information Systems
    (Parlar Scientific Publications, 2017) Demirkesen, Ali Can; Evrendilek, Fatih
    The Lake Van basin and its surroundings (36,500 km(2)) in the eastern Turkey have not been investigated adequately in terms of earthquake vulnerability, and pre-earthquake preparedness. In this study, a digital terrain model (DTM) of the Lake Van region was developed combining an ASTER digital elevation model (DEM), Landsat-7 ETM+ imagery, remote sensing techniques, and geographical information systems. Terrain characteristics derived from DTM with DEM, and a 3-D land-use and land-cover fly-through view such as fault zones, drainage patterns, lineaments, and landforms were interpreted in terms of earthquake vulnerability. Our results indicate that the directions of Mus-Tatvan (Mus thrust), Bitlis thrust, and ErcisPatnos-Malazgirt-Varto-Karliova along with Van and Ercis possess the highest risk of earthquake hazards.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 3
    Integrating Spatiotemporal Dynamics of Natural Capital Security and Urban Ecosystem Carbon Metabolism
    (Springer Verlag, 2018) Demirkesen, Ali Can; Evrendilek, Fatih
    The purpose of the study is to address and quantify the increase in urban expansion and carbon (C) metabolism burden on ecosystem service value (ESV), net ecosystem productivity (NEP), and C storage of urban footprint. Urban footprint is required to meet the demands arising from economic consumption and production as well as waste accumulation and assimilation. Spatiotemporal changes in main land covers (LCs) were detected using remotely sensed data (Landsat 5 and 8, and digital elevation model) between 1987 and 2016. Changes in ESV and C influx, efflux and pools associated with LC dynamics were approximated using global proxies for a western Mediterranean region in Turkey of 54,162 km2. Urban expansion over the 29-year period decreased ESV by 22% ($7.28 ± 0.4 billion), NEP by 4.3% (2.3 ± 9 Gg C), and total ecosystem C pool by 10.9% (1008.3 ± 1006 Gg C) and led to a 62.8% appropriation of the total NEP (50.1 ± 51 Gg C) of the urban footprint in 2016. The main cause of the environmental degradation across the study region was the loss of the seminatural areas. Our findings emphasize that the deterioration rate of ecosystems should be slowed down by natural capital-friendly decisions and should not exceed rehabilitation rate of damaged ecosystems in the face of rapidly increasing burdens of the cities on their footprint.
  • Article
    Citation - WoS: 9
    Citation - Scopus: 12
    Compositing Climate Change Vulnerability of a Mediterranean Region Using Spatiotemporally Dynamic Proxies for Ecological and Socioeconomic Impacts and Stabilities
    (Springer Verlag, 2017) Demirkesen, Ali Can; Evrendilek, Fatih
    The study presents a new methodology to quantify spatiotemporal dynamics of climate change vulnerability at a regional scale adopting a new conceptual model of vulnerability as a function of climate change impacts, ecological stability, and socioeconomic stability. Spatiotemporal trends of equally weighted proxy variables for the three vulnerability components were generated to develop a composite climate change vulnerability index (CCVI) for a Mediterranean region of Turkey combining Landsat time series data, digital elevation model (DEM)-derived data, ordinary kriging, and geographical information system. Climate change impact was based on spatiotemporal trends of August land surface temperature (LST) between 1987 and 2016. Ecological stability was based on DEM, slope, aspect, and spatiotemporal trends of normalized difference vegetation index (NDVI), while socioeconomic stability was quantified as a function of spatiotemporal trends of land cover, population density, per capita gross domestic product, and illiteracy. The zones ranked on the five classes of no-to-extreme vulnerability were identified where highly and moderately vulnerable lands covered 0.02% (12 km2) and 11.8% (6374 km2) of the study region, respectively, mostly occurring in the interior central part. The adoption of this composite CCVI approach is expected to lead to spatiotemporally dynamic policy recommendations towards sustainability and tailor preventive and mitigative measures to locally specific characteristics of coupled ecological–socioeconomic systems.