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Akademický článek

A data-driven approach for PM2.5 estimation in a metropolis: random forest modeling based on ERA5 reanalysis data

Publikováno v: Environmental Research Communications, Vol 6, Iss 3, p 035029 (2024)

Air pollution in urban environments, particularly from fine particulate matter (PM _2.5 ), poses significant health risks. Addressing this issue, the current study developed a Random Forest (RF) model to estimate hourly PM _2.5 concentrations in Anka

Externí odkaz: https://doaj.org/article/b98cd56b511d4b6dad419807cbf5c577

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Akademický článek

Türkiye ve Yakın Çevresinde Güneş Fotometreleri ile Elde Edilen Aerosol Optik Derinliği Verisinin Zamansal ve Mekansal Değişimi

Autor: Tolga Elbir, Gizem Tuna Tuygun, Selin Karslıoğlu, Elif Tezcan

Publikováno v: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 10, Iss 3, Pp 1241-1254 (2022)

Yer seviyesinde konumlandırılmış AERONET ağına bağlı güneş fotometreleri ile belirlenen Aerosol Optik Derinliği (AOD), atmosferik aerosollerin izlenmesinde kullanılan temel parametredir. Kısaca, belli bir dalga boyundaki elektromanyetik

Externí odkaz: https://doaj.org/article/b1b569e117e741aeb5bdb0cf8905dbcd

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Calibrating MERRA-2 PM2.5 concentrations with aerosol diagnostics: testing different machine learning approaches in the Eastern Mediterranean

Autor: Gizem Tuna Tuygun, Serdar Gündoğdu, Tolga Elbir

Publikováno v: Air Quality, Atmosphere & Health. 15:2283-2297

Estimating ground-level PM2.5 concentrations by satellite-based aerosol optical depth (AOD) does not provide spatially and temporally continuous estimations due to the gaps in the AOD data. In this study, without using satellite-based AOD, spatiotemp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24dbd9feeb447c77c7993ff26c155d85
https://doi.org/10.1007/s11869-022-01250-8

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Estimating daily PM2.5 concentrations using an extreme gradient boosting model based on VIIRS aerosol products over southeastern Europe

Autor: Serdar Gündoğdu, Gizem Tuna Tuygun, Zhanqing Li, Jing Wei, Tolga Elbir

Publikováno v: Air Quality, Atmosphere & Health. 15:2185-2198

The performance of aerosol optical depth (AOD) products from the visible infrared imaging radiometer suite (VIIRS) instrument to estimate ground-level PM2.5 concentrations has been determined at different locations; however, it is still limited over

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19afcba9605e5de630fd0c1be0b294be
https://doi.org/10.1007/s11869-022-01245-5

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Türkiye ve Yakın Çevresinde Güneş Fotometreleri ile Elde Edilen Aerosol Optik Derinliği Verisinin Zamansal ve Mekansal Değişimi

Autor: Elif TEZCAN, Selin KARSLIOĞLU, Gizem TUNA TUYGUN, Tolga ELBİR

Publikováno v: Düzce Üniversitesi Bilim ve Teknoloji Dergisi. 10:1241-1254

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::162396b80fdfa85ba33fa19372305aa8
https://doi.org/10.29130/dubited.960072

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Türkiye’de 2021 Yılında Yaşanan Büyük Orman Yangınlarında Yanan Orman Alanlarının ve Yangın Kaynaklı Atmosferik Aerosollerin Uydular ile İzlenmesi

Autor: Gizem TUNA TUYGUN, Gülşen İŞSEVER, Tolga ELBİR

Avrupa Orman Yangını Bilgi Sistemi verilerine göre, 2021 yılında Akdeniz ülkeleri içinde en fazla orman alanı kaybı yaşayan ülke Türkiye olmuştur. Ülke tarihindeki en büyük orman yangınlarının yaşandığı dönem olan 28 Temmuz-12

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0881b2e9ea037a655004a90a9626853f
https://avesis.deu.edu.tr/publication/details/3c56e516-2d99-4f66-bf13-e5ef2812adfb/oai

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Application of feed forward and cascade forward neural network models for prediction of hourly ambient air temperature based on MERRA-2 reanalysis data in a coastal area of Turkey

Autor: Serdar Gündoğdu, Tolga Elbir

Publikováno v: Meteorology and Atmospheric Physics. 133:1481-1493

Air temperature forecasting has been a vital climatic factor required for different applications in many areas such as energy, industry, agriculture, health, environment, and meteorology. This study compares the performances of two static neural netw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b938f9381d21e797f2a63257cc2b59d4
https://doi.org/10.1007/s00703-021-00821-1

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Application of aerosol classification methods based on AERONET version 3 product over eastern Mediterranean and Black Sea

Autor: Esra Benli Ozdemir, Tolga Elbir, Gizem Tuna Tuygun

Publikováno v: Atmospheric Pollution Research. 11:2226-2243

Aerosols released into the atmosphere from anthropogenic sources and natural events affect human health, reduce visibility, and alter Earth's radiation budget. Aerosol Optical Depth (AOD) is a quantitative estimate of the amount of aerosol present in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::569362d199653e38473a1194a591129d
https://doi.org/10.1016/j.apr.2020.06.008

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Evaluation of MODIS C6 and C6.1 Dark Target AOD products over Turkey based on NDVI and aerosol type

Autor: Gizem Tuna Tuygun, Esra Benli Ozdemir, Tolga Elbir

Publikováno v: Atmospheric Pollution Research. 11:2335-2349

This study aims to evaluate the accuracy of the MODIS C6 and C6.1 Aerosol Optical Depths (AOD) from Terra and Aqua satellites over the two sites located in the urban and coastal regions of Turkey. This is the first study in Turkey focusing on compari

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61468e2f3503fdf520f7e9f47505a46d
https://doi.org/10.1016/j.apr.2020.07.003

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