{
    "article_id": 1044,
    "public_id": "eb40d33d-fd13-4982-8845-a51643283108",
    "internal_identifier": null,
    "source_identifier": "42:49",
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    "type": "research_article",
    "title": "Effect of Fault Distance on Landslide",
    "title_secondary": null,
    "abstract": "For many years, the biggest problem in the preparation of landslide susceptibility maps has been experienced in the selection of parameters. Each parameter gives different results in different fields. Some of these parameters can be generally evaluated while others reflect the characteristics of the areas. In this study, the effect of linear distance to the fault on the landslide was investigated. For this purpose, 64 of the 1 / 25.000 scale and 2945 landslide area prepared by MTA (Mineral Research and Exploration) were selected. Among these, the maps with landslides were chosen. The cell size was digitized with ArcGis 10.4 by setting to 28 pixels. Landslide inventory maps are prepared and overlapped with the parameter map for each area. After the reclassification, the maps were analyzed. For each parameter, landslide areas are determined by class ranges. Class ranges were chosen in accordance with the literature. Scatter graphs are prepared in% of the areas and it is determined that landslides occur between the values. The compatibility of the parameters with the literature was checked. Since it’s encountered in every area, it isn’t generally preferred in the literature. Although it is easy to prepare, the researchers avoid this parameter because they are evaluated together with other parameters. As a result, it is tried to determine the distance to the fault distance to landslide areas. It was revealed that landslides were formed in class ranges.",
    "language": "en",
    "english_title": null,
    "english_abstract": null,
    "doi": null,
    "doi_url": null,
    "resource_url": "https://www.set-science.com/a/eb40d33d-fd13-4982-8845-a51643283108",
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    "authors": [
        {
            "public_id": "78ab931b-6bda-4b6e-9014-7b6ea3baa230",
            "given": "Seda",
            "family": "Çellek",
            "full": "Seda Çellek",
            "literal": null,
            "orcid": null,
            "orcid_url": null,
            "email": "sedacellek@ahievran.edu.tr",
            "corresponding": true,
            "sequence": "first",
            "affiliations": [
                {
                    "name": "Kırşehir Ahi Evran University",
                    "department": null,
                    "country": null,
                    "country_code": null,
                    "ror": null,
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            ]
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    ],
    "keywords": [
        "Landslide, susceptibility, fault, parameter, lineament"
    ],
    "translations": [
        {
            "language": "en",
            "title": "Effect of Fault Distance on Landslide",
            "abstract": "For many years, the biggest problem in the preparation of landslide susceptibility maps has been experienced in the selection of parameters. Each parameter gives different results in different fields. Some of these parameters can be generally evaluated while others reflect the characteristics of the areas. In this study, the effect of linear distance to the fault on the landslide was investigated. For this purpose, 64 of the 1 / 25.000 scale and 2945 landslide area prepared by MTA (Mineral Research and Exploration) were selected. Among these, the maps with landslides were chosen. The cell size was digitized with ArcGis 10.4 by setting to 28 pixels. Landslide inventory maps are prepared and overlapped with the parameter map for each area. After the reclassification, the maps were analyzed. For each parameter, landslide areas are determined by class ranges. Class ranges were chosen in accordance with the literature. Scatter graphs are prepared in% of the areas and it is determined that landslides occur between the values. The compatibility of the parameters with the literature was checked. Since it’s encountered in every area, it isn’t generally preferred in the literature. Although it is easy to prepare, the researchers avoid this parameter because they are evaluated together with other parameters. As a result, it is tried to determine the distance to the fault distance to landslide areas. It was revealed that landslides were formed in class ranges.",
            "keywords": [
                "Landslide, susceptibility, fault, parameter, lineament"
            ]
        }
    ],
    "subjects": [],
    "subject_names": [],
    "published_date": "2019-06-01",
    "published_year": "2019",
    "received_date": null,
    "accepted_date": null,
    "volume": "4",
    "issue": null,
    "page_first": "252",
    "page_last": "259",
    "article_number": null,
    "conference": {
        "short_name": "ISAS2019-ENS",
        "full_title": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)",
        "name": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)",
        "acronym": "ISAS2019-ENS",
        "location": "Ankara, Türkiye",
        "start_date": "2019-04-19",
        "end_date": null,
        "public_id": "ed3b36e9-38cf-4aeb-a135-833c969cc89f"
    },
    "proceedings": {
        "title": "3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences)",
        "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-4-2019-legacy-42",
        "public_id": "24d215ef-a545-4351-9725-6e9bdb167b3c",
        "url": "https://www.set-science.com/p/setsci-volume-4-2019-legacy-42"
    },
    "license": {
        "name": "CC BY 4.0",
        "url": "https://creativecommons.org/licenses/by/4.0/",
        "code": "CC-BY-4.0",
        "open_access": true
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    "copyright": {
        "holder": "SET Technology",
        "year": "2019"
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    "funding_statement": null,
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    "references": [
        {
            "order": 1,
            "raw": "B Pradhan., S. Lee and M., A Buchroithner, Gıs-Based BackPropagation Neural Network Model And İts Cross-Application And Validation For Landslide Susceptibility Analyses, Computers, Environment And Urban Systems, 34, 216–235, 2010.",
            "doi": null,
            "title": null,
            "authors": null,
            "source": null,
            "year": null,
            "volume": null,
            "pages": null
        },
        {
            "order": 2,
            "raw": "S. Dağ, F. Bulut, S. Alemdağ, A. Kaya, Heyelan Duyarlılık Haritalarının Üretilmesinde Kullanılan Yöntem ve Parametrelere İlişkin Genel Bir Değerlendirme, GÜFBED/GUSTIJ 2011, 1 (2):151- 176 Research/Araştırma.",
            "doi": null,
            "title": null,
            "authors": null,
            "source": null,
            "year": null,
            "volume": null,
            "pages": null
        },
        {
            "order": 3,
            "raw": "M. R. Z. Daneshvar, Landslide susceptibility zonation using analytical hierarchy process and GIS for the Bojnurd region, northeast of Iran, Landslides, 2014, 11:1079–1091M. Wegmuller, J. P. von der Weid, P. Oberson, and N. Gisin, “High resolution fiber distributed measurements",
            "doi": null,
            "title": null,
            "authors": null,
            "source": null,
            "year": null,
            "volume": null,
            "pages": null
        }
    ],
    "statements": {
        "acknowledgements": null,
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    "credit": [],
    "history": {
        "published": "2019-06-01"
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}