{ "article_id": 747, "public_id": "e14e9541-5785-41d7-8be3-f66c54aed141", "internal_identifier": null, "source_identifier": "39:112", "status": "published", "type": "research_article", "title": "Türkiye için Güneşlenme Süresinin Mekansal Analizi", "title_secondary": null, "abstract": "Güneşlenme süresi, çok sayıda uygulama için temel veridir. Esas olarak güneş enerjisi tahmininde kullanılmaktadır,\r\nancak aynı zamanda özellikle iklim tabanlı uygulamalar için önemli bir veri kaynağıdır. Bu nedenle, güneşlenme süresinin\r\nmekansal ve zamansal değişkenliğinin bilinmesi çok önemlidir. Güneşlenme süresi uzun zamandan beri meteoroloji\r\nistasyonlarında helyograflar (Campbell-Stokes ve Jordan helyografları, Türkiye’de Campbell-Stokes kullanılır) ile ölçülür.\r\nİstasyon olmayan alanlarda veya yer istasyonlarından uzak bölgelerde ölçümler yapılamadığından, bu bölgeler için\r\ngüneşlenme süresinin belirlenmesi sadece tahmin ile yapılabilir. Tahminleri yapmak için interpolasyon teknikleri kullanılır.\r\nAra değer tahmini olarak da adlandırılan interpolasyon, komşuluklarda bilinen noktaların değerlerini kullanarak bilinmeyen\r\nnoktaların değerlerini bulmak için kullanılır. Bu çalışmada klimatolojik uygulamalarda yaygın olarak tercih edilen ve\r\nkullanılan, ordinary kriging olarak adlandırılan mekansal analiz tekniği kullanılmıştır. Son derece güvenilir olan bu yöntem,\r\nbirçok veri dizisi için önerilmektedir. Bu yöntemle tahmin yapılırken, ölçülen değerlerin doğrusal kombinasyonu kullanılır. Bu\r\nçalışmanın amacı, güneşlenme süresinin alansal değişkenliğini belirlemektir. Meteorolojik veri aylık, mevsimsel ve yıllık\r\nolarak 1960-2010 dönemi için düzenlenmiştir. Coğrafi Bilgi Sistemleri (CBS) görüntüleme programı kullanılarak mevsimsel\r\nve yıllık güneşlenme süresi haritaları elde edilmiştir. Sonuçlar, enlemin güneşlenme süresinin mekansal dağılımı üzerinde\r\netkili olduğunu göstermektedir. Güneşlenme süresi Türkiye’nin güney bölgelerinden kuzey bölgelerine doğru azalmaktadır.\r\nMeteorolojik parametrelerin güneşlenme süresini etkilediği birçok çalışma yapılmıştır. Bununla birlikte hava kirleticileri de\r\ngüneşlenme süresi değişimlerini etkileyebilir, çünlü hava kirleticileri bulutluluk, bağıl nem, atmosferik basınç, yağış miktarı ve\r\nrüzgar hızı gibi bazı iklim parametreleriyle ilişkilidir.  ", "language": "tr", "english_title": "Spatial Analysis of Sunshine Duration for Turkey", "english_abstract": "Sunshine duration is fundamental data for numerous applications. It is primarily used in solar energy forecasting,\r\nbut it is also an important data source, especially for climate-based applications. Therefore, knowing the spatial and temporal variability of sunshine duration is crucial. Sunshine duration has long been measured at meteorological stations using heliographs (Campbell-Stokes and Jordan heliographs; Campbell-Stokes is used in Turkey). Since measurements cannot be made in areas without stations or in regions far from ground stations, determining sunshine duration for these regions can only be done by estimation. Interpolation techniques are used to make estimations. Interpolation, also called intermediate value estimation, is used to find the values ​​of unknown points using the values ​​of known points in the neighborhood. In this study, the spatial analysis technique called ordinary kriging, which is widely preferred and used in climatological applications, was used. This highly reliable method is recommended for many data sets. This method uses a linear combination of measured values ​​for estimation. The aim of this study is to determine the spatial variability of sunshine duration. Meteorological data was organized monthly, seasonally, and annually for the period 1960-2010. Seasonal and annual sunshine duration maps were obtained using a Geographic Information Systems (GIS) visualization program. The results show that latitude has an effect on the spatial distribution of sunshine duration. Sunshine duration decreases from the southern regions to the northern regions of Turkey. Many studies have been conducted on how meteorological parameters affect sunshine duration. However, air pollutants can also affect variations in sunshine duration, because air pollutants are related to some climate parameters such as cloud cover, relative humidity, atmospheric pressure, precipitation amount, and wind speed.", "doi": null, "doi_url": null, "resource_url": "https://www.set-science.com/a/e14e9541-5785-41d7-8be3-f66c54aed141", "pdf_url": "https://www.set-science.com/a/e14e9541-5785-41d7-8be3-f66c54aed141/pdf", "og_image": "https://www.set-science.com/assets/img/og-card-v2.png", "authors": [ { "public_id": "4125cab3-0c9b-48f4-b4a7-09ff0786d914", "given": "Mine Tülin", "family": "Zateroğlu", "full": "Mine Tülin Zateroğlu", "literal": null, "orcid": null, "orcid_url": null, "email": "mtzateroglu@cu.edu.tr", "corresponding": true, "sequence": "first", "affiliations": [ { "name": "Çukurova University", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "ca1398f0-173a-42dd-852d-22260f4d26ab", "given": "H. Mustafa", "family": "Kandırmaz", "full": "H. Mustafa Kandırmaz", "literal": null, "orcid": null, "orcid_url": null, "email": "mtzateroglu@cu.edu.tr", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Çukurova University", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] } ], "keywords": [], "translations": [ { "language": "en", "title": "Spatial Analysis of Sunshine Duration for Turkey", "abstract": "Sunshine duration is fundamental data for numerous applications. It is primarily used in solar energy forecasting,\r\nbut it is also an important data source, especially for climate-based applications. Therefore, knowing the spatial and temporal variability of sunshine duration is crucial. Sunshine duration has long been measured at meteorological stations using heliographs (Campbell-Stokes and Jordan heliographs; Campbell-Stokes is used in Turkey). Since measurements cannot be made in areas without stations or in regions far from ground stations, determining sunshine duration for these regions can only be done by estimation. Interpolation techniques are used to make estimations. Interpolation, also called intermediate value estimation, is used to find the values ​​of unknown points using the values ​​of known points in the neighborhood. In this study, the spatial analysis technique called ordinary kriging, which is widely preferred and used in climatological applications, was used. This highly reliable method is recommended for many data sets. This method uses a linear combination of measured values ​​for estimation. The aim of this study is to determine the spatial variability of sunshine duration. Meteorological data was organized monthly, seasonally, and annually for the period 1960-2010. Seasonal and annual sunshine duration maps were obtained using a Geographic Information Systems (GIS) visualization program. The results show that latitude has an effect on the spatial distribution of sunshine duration. Sunshine duration decreases from the southern regions to the northern regions of Turkey. Many studies have been conducted on how meteorological parameters affect sunshine duration. However, air pollutants can also affect variations in sunshine duration, because air pollutants are related to some climate parameters such as cloud cover, relative humidity, atmospheric pressure, precipitation amount, and wind speed.", "keywords": [ "Güneşlenme Süresi, CBS, Ordinary Kriging, Hava kirleticileri, Türkiye" ] } ], "subjects": [], "subject_names": [], "published_date": "2018-12-31", "published_year": "2018", "received_date": null, "accepted_date": null, "volume": "3", "issue": null, "page_first": "590", "page_last": "593", "article_number": null, "conference": { "short_name": "ISAS2018-Winter", "full_title": "2nd International Symposium on Innovative Approaches in Scientific Studies", "name": "2nd International Symposium on Innovative Approaches in Scientific Studies", "acronym": "ISAS2018-Winter", "location": "Samsun, Türkiye", "start_date": "2018-11-30", "end_date": null, "public_id": "b8a703cc-09f7-4d5b-ae60-eb31a1050720" }, "proceedings": { "title": "2nd International Symposium on Innovative Approaches in Scientific Studies", "series_title": "Setsci conference indexing system", "publisher": "SET Technology", "isbn": null, "eisbn": null, "issn": "2618-6446", "eissn": null, "doi": null, "doi_prefix": null, "slug": "setsci-volume-3-2018-legacy-39", "public_id": "641f522e-9cf0-4c89-be17-c6037f3d1bca", "url": "https://www.set-science.com/p/setsci-volume-3-2018-legacy-39" }, "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "code": "CC-BY-4.0", "open_access": true }, "copyright": { "holder": "SET Technology", "year": "2018" }, "funding_statement": null, "funders": [], "references": [ { "order": 1, "raw": "H. Dobesch, “On the Variations of Sunshine Duration in Austria,” Theoretical and Applied Climatology, vol. 46, pp. 33-38, 1992.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 2, "raw": "A.P. Matzarakıs and V.D. Katsoulıs, “Sunshine Duration Hours over the Greek Region,” Theoretical and Applied Climatology, vol. 83, pp. 107-120, 2006, doi: 10.1007/s00704-005-0158-8.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 3, "raw": "M. Dolınar, “Spatial Interpolation of Sunshine Duration in Slovenia,” Meteorological Applications, vol. 13, pp. 375-384, 2006, doi:10.1017/S1350482706002362.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 4, "raw": "H.M. 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