{
    "article_id": 1254,
    "public_id": "e8ac64a9-e2bd-4137-bae8-fab966bc1c60",
    "internal_identifier": null,
    "source_identifier": "84:103",
    "status": "published",
    "type": "research_article",
    "title": "Filyos Nehri’ndeki Askıda Katı Madde Miktarının Yapay Sinir Ağları İle Belirlenmesi",
    "title_secondary": null,
    "abstract": "Canlı varlıklar yaşamlarını sürdürebilmek için suya ihtiyaç duyarlar. Su yeryüzünde sürekli olarak bir dolanım halinde bulunmaktadır. Bu dolanım sırasında çeşitli sebeplerden dolayı suya karışan maddeler suyun özelliklerinin değişmesine sebep olur. Gerek suyun kullanımı gerekse etrafındaki alanların kullanımı suyun kalitesinin değişmesine neden olmaktadır. Bu nedenle akarsular ve su rezervlerinde su kalitesinin araştırılması önem arz etmektedir. Bu çalışmada, Batı Karadeniz Havzasının en büyük alt havzası olan ve Filyos Çayı Alt Havzasında bulunan Filyos Çayı’nda askıda katı madde konsantrasyonu yapay sinir ağları yöntemi ile tahmin edilmeye çalışılmıştır. Ana kol üzerinde seçilen üç noktadan su numuneleri alınarak laboratuvarda su kalite parametrelerinden askıda katı madde, bulanıklık, demir ve krom analizleri gerçekleştirilmiştir. Daha sonra Askıda Katı Madde parametresinin tahmini, bulanıklık, debi, demir ve krom parametrelerine dayanarak, yapay sinir ağları yöntemiyle yapılmıştır.",
    "language": "tr",
    "english_title": "Determination of the Amount of Suspended Solids With Artificial Neural Network at The Filyos River",
    "english_abstract": "Living beings need water to continue their life. Water is in an endless cycle and during this cycle, substances which are mixed with water for various reasons cause properties of water to change. Both the use of water and the surrounding areas cause changes in the quality of water. For this reason, it is important to investigate the water quality in rivers and water reservoirs. In this study, Filyos Stream, which is located in the largest sub-basin of the Western Black Sea Basin, was estimated to suspended solids parameters by using artificial neural networks. Water samples were taking from three selected points on the main line of the Filyos Stream. In the laboratory, suspended solids, turbidity, iron and chromium analyzes of water quality parameters were carried out. After, the estimation of the Suspended Solids parameter based on parameters turbidity, flow, iron and chromium was performed by artificial neural networks.",
    "doi": "10.36287/setsci.4.6.103",
    "doi_url": "https://doi.org/10.36287/setsci.4.6.103",
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            "given": "Berna",
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            "full": "Berna Aksoy",
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            "email": "berna.oaksoy@beun.edu.tr",
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            "affiliations": [
                {
                    "name": "Zonguldak Bülent Ecevit University ",
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        {
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            "given": "İsmail Hakkı",
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            "full": "İsmail Hakkı Özölçer",
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            "email": "ozolcer@beun.edu.tr",
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            "affiliations": [
                {
                    "name": "Zonguldak Bülent Ecevit University ",
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        },
        {
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            "given": "Onur",
            "family": "Dündar",
            "full": "Onur Dündar",
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            "email": "onur.dundar@beun.edu.tr",
            "corresponding": false,
            "sequence": "additional",
            "affiliations": [
                {
                    "name": "Zonguldak Bülent Ecevit University ",
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            ]
        },
        {
            "public_id": "db36f9d8-ae6b-442f-8b81-4b74e578816e",
            "given": "Ahmet Sinan",
            "family": "İlhan",
            "full": "Ahmet Sinan İlhan",
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            "email": "asilhan34@gmail.com",
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                    "name": "Zonguldak Bülent Ecevit University ",
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    ],
    "keywords": [],
    "translations": [
        {
            "language": "en",
            "title": "Determination of the Amount of Suspended Solids With Artificial Neural Network at The Filyos River",
            "abstract": "Living beings need water to continue their life. Water is in an endless cycle and during this cycle, substances which are mixed with water for various reasons cause properties of water to change. Both the use of water and the surrounding areas cause changes in the quality of water. For this reason, it is important to investigate the water quality in rivers and water reservoirs. In this study, Filyos Stream, which is located in the largest sub-basin of the Western Black Sea Basin, was estimated to suspended solids parameters by using artificial neural networks. Water samples were taking from three selected points on the main line of the Filyos Stream. In the laboratory, suspended solids, turbidity, iron and chromium analyzes of water quality parameters were carried out. After, the estimation of the Suspended Solids parameter based on parameters turbidity, flow, iron and chromium was performed by artificial neural networks.",
            "keywords": [
                "Filyos Çayı, Askıda Katı Madde, Yapay Sinir Ağları"
            ]
        }
    ],
    "subjects": [],
    "subject_names": [],
    "published_date": "2019-12-22",
    "published_year": "2019",
    "received_date": null,
    "accepted_date": null,
    "volume": "9",
    "issue": null,
    "page_first": "404",
    "page_last": "407",
    "article_number": null,
    "conference": {
        "short_name": "ISAS WINTER-2019 (ENS)",
        "full_title": "4th International Symposium on Innovative Approaches in Engineering and Natural Sciences",
        "name": "4th International Symposium on Innovative Approaches in Engineering and Natural Sciences",
        "acronym": "ISAS WINTER-2019 (ENS)",
        "location": "Samsun, Türkiye",
        "start_date": "2019-11-22",
        "end_date": null,
        "public_id": "ede2435c-3820-4bef-84a9-59e7d8de9d60"
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    "proceedings": {
        "title": "4th International Symposium on Innovative Approaches in Engineering and Natural Sciences",
        "series_title": "SETSCI Conference Proceedings",
        "publisher": "SET Technology",
        "isbn": "978-605-81988-8-3",
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        "eissn": "2687-5527",
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        "doi_prefix": "10.36287",
        "slug": "setsci-volume-9-2019-legacy-84",
        "public_id": "5d3c128d-5090-429f-8398-4e32c57e5584",
        "url": "https://www.set-science.com/p/setsci-volume-9-2019-legacy-84"
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        "name": "CC BY 4.0",
        "url": "https://creativecommons.org/licenses/by/4.0/",
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        "year": "2019"
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    "history": {
        "published": "2019-12-22"
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}