Proceedings of the 4th International Conference on Innovation in Education, Science and Culture, ICIESC 2022, 11 October 2022, Medan, Indonesia

Research Article

Analysis Of Distribution Patterns Of Rain Stasion In Medan City

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  • @INPROCEEDINGS{10.4108/eai.11-10-2022.2325528,
        author={Sarra  Rahmadani and Denny  Maisyandy Hutauruk},
        title={Analysis Of Distribution Patterns Of Rain Stasion In Medan City},
        proceedings={Proceedings of the 4th International Conference on Innovation in Education, Science and Culture, ICIESC 2022, 11 October 2022, Medan, Indonesia},
        publisher={EAI},
        proceedings_a={ICIESC},
        year={2022},
        month={12},
        keywords={rain station density kagan-rodda},
        doi={10.4108/eai.11-10-2022.2325528}
    }
    
  • Sarra Rahmadani
    Denny Maisyandy Hutauruk
    Year: 2022
    Analysis Of Distribution Patterns Of Rain Stasion In Medan City
    ICIESC
    EAI
    DOI: 10.4108/eai.11-10-2022.2325528
Sarra Rahmadani1,*, Denny Maisyandy Hutauruk1
  • 1: Building Engineering Education Study Program, Faculty of Engineering, Universitas Negeri Medan, Jl. Willem Iskandar Pasar V. Medan Estate
*Contact email: sarra048@unimed.ac.id

Abstract

Floods often occur, one of the causes is rainfall. The distribution of rain should be well patterned, taking into account the density and minimizing errors in recording rain data. This study analyzes the distribution of rain stations in Medan City, including Stamar Belawan, Helvetia Station and BBMKG area I Medan. The aim is to find out the pattern of placement between rain stations and evaluate the conditions and distribution between rain stations. The results of the mapping pattern using Thissen Polygon and ArcGIS 10.82 state that Helvetia station is located at longitude coordinates 98.63 and 3.60 latitude with the largest area of influence, which is 28.30 Km2 or 71% on a total area of 39.85 Km2. Density analysis There is no identification of density values between stations that meet the WMO standard. So it is necessary to rationalize using the Kagan-Rodda method to meet WMO standards.