A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Validation of TRMM Rainfall Data on Slope Stability in Karanganyar, Indonesia
https://orcid.org/http://orcid.org/0000-0002-6209-620X
https://orcid.org/http://orcid.org/0000-0002-7487-1824
The use of TRMM rain data is one source of solving the lack of rain data sources in Indonesia. TRMM satellite data has not been widely used, so the validation of the data needs attention. TRMM GSMap_NRT is one type of satellite data that can be used as a source of rain data. However, research on the validation of TRMM GSMap_NRT rain data has not been widely discussed. This study presents the validation of the GSMap_NRT TRMM satellite data against the rain gauge's regional rain data in the Karanganyar area, Central Java. The data validation was also carried out on soil stability at the site, considering that the research location is landslide-prone. This validation compares the safety factor (SF) value from calculating the two types of rain data (TRMM GSMap_NRT and rain gauge). Rain indicators for regional rain are Jatipuro, Tawangmangu, and Karangpandan. Rainfall processing used the Thiessen Polygon method. Infiltration processing used the SCS-CN method. The data validation used the r correlation equation approach and the calibration coefficient was obtained. The correlation coefficient and error values are 0.76 and 251.63 mm/month (20.97 mm/day). The TRMM rainfall data were then analyzed to find the value of slope stability by analyzing the annual maximum two-day rainfall. The results of this study are a map of the SF for 7 years (2014–2020). The conclusion of this study is the SF map for seven years does not show a significant difference. However, further research in this regard is highly recommended.
Validation of TRMM Rainfall Data on Slope Stability in Karanganyar, Indonesia
https://orcid.org/http://orcid.org/0000-0002-6209-620X
https://orcid.org/http://orcid.org/0000-0002-7487-1824
The use of TRMM rain data is one source of solving the lack of rain data sources in Indonesia. TRMM satellite data has not been widely used, so the validation of the data needs attention. TRMM GSMap_NRT is one type of satellite data that can be used as a source of rain data. However, research on the validation of TRMM GSMap_NRT rain data has not been widely discussed. This study presents the validation of the GSMap_NRT TRMM satellite data against the rain gauge's regional rain data in the Karanganyar area, Central Java. The data validation was also carried out on soil stability at the site, considering that the research location is landslide-prone. This validation compares the safety factor (SF) value from calculating the two types of rain data (TRMM GSMap_NRT and rain gauge). Rain indicators for regional rain are Jatipuro, Tawangmangu, and Karangpandan. Rainfall processing used the Thiessen Polygon method. Infiltration processing used the SCS-CN method. The data validation used the r correlation equation approach and the calibration coefficient was obtained. The correlation coefficient and error values are 0.76 and 251.63 mm/month (20.97 mm/day). The TRMM rainfall data were then analyzed to find the value of slope stability by analyzing the annual maximum two-day rainfall. The results of this study are a map of the SF for 7 years (2014–2020). The conclusion of this study is the SF map for seven years does not show a significant difference. However, further research in this regard is highly recommended.
Validation of TRMM Rainfall Data on Slope Stability in Karanganyar, Indonesia
https://orcid.org/http://orcid.org/0000-0002-6209-620X
https://orcid.org/http://orcid.org/0000-0002-7487-1824
The use of TRMM rain data is one source of solving the lack of rain data sources in Indonesia. TRMM satellite data has not been widely used, so the validation of the data needs attention. TRMM GSMap_NRT is one type of satellite data that can be used as a source of rain data. However, research on the validation of TRMM GSMap_NRT rain data has not been widely discussed. This study presents the validation of the GSMap_NRT TRMM satellite data against the rain gauge's regional rain data in the Karanganyar area, Central Java. The data validation was also carried out on soil stability at the site, considering that the research location is landslide-prone. This validation compares the safety factor (SF) value from calculating the two types of rain data (TRMM GSMap_NRT and rain gauge). Rain indicators for regional rain are Jatipuro, Tawangmangu, and Karangpandan. Rainfall processing used the Thiessen Polygon method. Infiltration processing used the SCS-CN method. The data validation used the r correlation equation approach and the calibration coefficient was obtained. The correlation coefficient and error values are 0.76 and 251.63 mm/month (20.97 mm/day). The TRMM rainfall data were then analyzed to find the value of slope stability by analyzing the annual maximum two-day rainfall. The results of this study are a map of the SF for 7 years (2014–2020). The conclusion of this study is the SF map for seven years does not show a significant difference. However, further research in this regard is highly recommended.
Validation of TRMM Rainfall Data on Slope Stability in Karanganyar, Indonesia
Lecture Notes in Civil Engineering
Kristiawan, Stefanus Adi (editor) / Gan, Buntara S. (editor) / Shahin, Mohamed (editor) / Sharma, Akanshu (editor) / Mare, David Raja Simare (author) / Hadiani, Rr Rintis (author) / Dananjaya, Raden Harya (author)
International Conference on Rehabilitation and Maintenance in Civil Engineering ; 2021 ; Surakarta, Indonesia
2022-07-19
10 pages
Article/Chapter (Book)
Electronic Resource
English