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  • 1
    Online Resource
    Online Resource
    Linear Regression Model for Predicting Daily PM 2.5 Using VIIRS-SNPP and MODIS-Aqua AOT
    IOP Publishing ; 2019
    In:  IOP Conference Series: Earth and Environmental Science Vol. 303 ( 2019-08-02), p. 012039-
    Details
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 303 ( 2019-08-02), p. 012039-
    Type of Medium: Online Resource
    ISSN: 1755-1315
    URL: Article
    DOI: 10.1088/1755-1315/303/1/012039
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2019
    detail.hit.zdb_id: 2434538-6
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  • 2
    Online Resource
    Online Resource
    Forest Fire in East Nusa Tenggara during 2015-2019: Comparison to Forest Fire in Kalimantan and Sumatera
    IOP Publishing ; 2021
    In:  IOP Conference Series: Earth and Environmental Science Vol. 893, No. 1 ( 2021-11-01), p. 012010-
    Details
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 893, No. 1 ( 2021-11-01), p. 012010-
    Abstract: East Nusa Tenggara is one of the provinces in Indonesia that has big forest fires following some provinces in Kalimantan and Sumatra. However, forest fires in East Nusa Tenggara have less attention in forest fires discussion in Indonesia. This study aims to analyze forest fires in East Nusa Tenggara and their impact on reducing visibility and increasing carbon monoxide (CO) from 2015 to 2019. In this study, hotspot, forest fire area, Oceanic Niño Index, visibility, and CO total column data were used to analyze the forest fires using a statistical comparison method in East Nusa Tenggara, Kalimantan, and Sumatra. The result shows that the number of hotspots in East Nusa Tenggara less than in Kalimantan and Sumatra for the same forest fire area. The forest fires in East Nusa Tenggara do not harm the atmospheric environment significantly. East Nusa Tenggara dominantly consists of savanna areas with no peatland, hence, the forest biomass burning produces less smoke and CO. Furthermore, the forest fire in East Nusa Tenggara has not an impact on decreasing visibility and increasing CO total column, in contrast, visibility in Sumatra and Kalimantan has fallen to 6 km from the annual average, and CO total column rise three times of normal condition during peak fire.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    URL: Article
    DOI: 10.1088/1755-1315/893/1/012010
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2434538-6
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  • 3
    Online Resource
    Online Resource
    Rain Scanner Radar and Optical Flow Combination For Early Identification of The Incoming Bow Echo Heavy Precipitation
    IOP Publishing ; 2023
    In:  IOP Conference Series: Earth and Environmental Science Vol. 1245, No. 1 ( 2023-09-01), p. 012031-
    Details
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 1245, No. 1 ( 2023-09-01), p. 012031-
    Abstract: In this study, heavy precipitation in the form of bow echo is observed, identified, and tracked using a rain scanner and optical flow method. Two case studies of bow echoes with a range of properties from 15 to 33 km were observed in the afternoon on 1st February and 4th February 2021. The rain scanner developed based on X-band radar could obtain the first detection of the bow echo shape. The difference between these two bow echoes events is from their initiation. The first bow echo cases are initiated from weakly organized cells. Meanwhile, the second case of bow echo is initiated from a squall line event. Bow echo is initially observed in the western part of Bandung city. Approximately twenty minutes after the first detection, the bow echo passed the center of Bandung city. Image processing using edge detection could track the bow echo from the radar data. Applied Lucas-Kanade optical flow was then used to retrieve the bow echo movement. Vector flow from optical flow showed the dominant movement toward the east direction in both case studies. A simple method to predict the incoming time of the bow echo using the estimated speed from vector flow and the image translation is also presented.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    URL: Article
    DOI: 10.1088/1755-1315/1245/1/012031
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2023
    detail.hit.zdb_id: 2434538-6
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  • 4
    Online Resource
    Online Resource
    ENSO and PDO Influence to Climate Variability in Monsoon Region of Indonesia
    IOP Publishing ; 2018
    In:  IOP Conference Series: Earth and Environmental Science Vol. 166 ( 2018-06), p. 012044-
    Details
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 166 ( 2018-06), p. 012044-
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    URL: Article
    DOI: 10.1088/1755-1315/166/1/012044
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2018
    detail.hit.zdb_id: 2434538-6
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  • 5
    Online Resource
    Online Resource
    Analysis PM10 and Visibility During Forest Fire in Palangka Raya
    IOP Publishing ; 2021
    In:  IOP Conference Series: Earth and Environmental Science Vol. 893, No. 1 ( 2021-11-01), p. 012002-
    Details
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 893, No. 1 ( 2021-11-01), p. 012002-
    Abstract: Forest fires have an impact on air quality and visibility. Visibility can be associated with a highly visual indicator of air pollution. This research aims to analyze the relationship between the PM10 concentration and visibility during the forest firest events and normal conditions in Palangkaraya from 2000 to 2014 by using a regression method. The relative humidity data was used to filter the PM10 and visibility. Furthermore, the equation resulted from the regression analysis was used to predict PM10 concentration in Palangka Raya. The result showed that the regression pattern tends to form a logarithmic function. Specifically, without filtering data, the coefficient correlation (r-value) during the forest fire events and normal conditions are 0.69 and 0.5, respectively. Meanwhile, a data filtering method gives a higher relationship between PM10 and visibility, with the r-value of 0.7 for the forest fire events and 0.68 for the normal condition. On the other hand, the prediction of PM10 concentration indicates a high bias value due to the other influenced factors that have not been included in this study.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    URL: Article
    DOI: 10.1088/1755-1315/893/1/012002
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2434538-6
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