Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub Watershed
Alternative solution for availability of inadequate rain data as input to hydrological data is with the assist of TRMM (Tropical Rainfall Measurement Mission) satellite rainfall data which using remote sensing technology (satellite). The purpose of this study is to look for correlations and data cor...
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| Format: | Article |
| Language: | English |
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Universitas Brawijaya
2020-02-01
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| Series: | Civil and Environmental Science Journal |
| Subjects: | |
| Online Access: | https://civense.ub.ac.id/index.php/civense/article/view/48 |
| _version_ | 1818847563511496704 |
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| author | Lufi Suryaningtyas Suryaningtyas Suhartanto Ery Rispiningtati Rispiningtati |
| author_facet | Lufi Suryaningtyas Suryaningtyas Suhartanto Ery Rispiningtati Rispiningtati |
| author_sort | Lufi Suryaningtyas Suryaningtyas |
| collection | DOAJ |
| description | Alternative solution for availability of inadequate rain data as input to hydrological data is with the assist of TRMM (Tropical Rainfall Measurement Mission) satellite rainfall data which using remote sensing technology (satellite). The purpose of this study is to look for correlations and data corrections and validate TRMM satellite data with rainfall data at the rain station and discharge observation data. Lesti sub-watershed is used as a case study with consideration of the data availability that is considered sufficient. The validation results of corrected TRMM rain data produce Nash-Sutcliffe Efficiency (NSE), Root Mean Squared Error (RMSE), Correlation Coefficient (R), and Relative Error/Kesalahan Relatif (KR). Then, conducted an analysis of the flow discharge estimation using TRMM rainfall data and validated with Tawangrejeni AWLR (Automatic Water Level Record) data. The results of flow discharge validation using the FJ Mock Method produce an NSE value of 0,507, RMSE 19,383, Correlation Coefficient (R) 0,713, and Relative Error of 0,001. Overall analysis shows TRMM data can be used as an alternative of the rain data that is used to estimate flow discharge, but the result of flow discharge analysis is still better using rainfall data from the rain station post |
| first_indexed | 2024-12-19T06:03:26Z |
| format | Article |
| id | doaj.art-fed39509a2864e269c3d157e4d428bd6 |
| institution | Directory Open Access Journal |
| issn | 2620-6218 |
| language | English |
| last_indexed | 2024-12-19T06:03:26Z |
| publishDate | 2020-02-01 |
| publisher | Universitas Brawijaya |
| record_format | Article |
| series | Civil and Environmental Science Journal |
| spelling | doaj.art-fed39509a2864e269c3d157e4d428bd62022-12-21T20:33:15ZengUniversitas BrawijayaCivil and Environmental Science Journal2620-62182020-02-0131183010.21776/ub.civense.2020.00301.326Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub WatershedLufi Suryaningtyas Suryaningtyas0Suhartanto Ery1Rispiningtati Rispiningtati2Brawijaya UniversityWater Resources Engineering Department, Universitas BrawijayaWater Resources Engineering Department, Universitas BrawijayaAlternative solution for availability of inadequate rain data as input to hydrological data is with the assist of TRMM (Tropical Rainfall Measurement Mission) satellite rainfall data which using remote sensing technology (satellite). The purpose of this study is to look for correlations and data corrections and validate TRMM satellite data with rainfall data at the rain station and discharge observation data. Lesti sub-watershed is used as a case study with consideration of the data availability that is considered sufficient. The validation results of corrected TRMM rain data produce Nash-Sutcliffe Efficiency (NSE), Root Mean Squared Error (RMSE), Correlation Coefficient (R), and Relative Error/Kesalahan Relatif (KR). Then, conducted an analysis of the flow discharge estimation using TRMM rainfall data and validated with Tawangrejeni AWLR (Automatic Water Level Record) data. The results of flow discharge validation using the FJ Mock Method produce an NSE value of 0,507, RMSE 19,383, Correlation Coefficient (R) 0,713, and Relative Error of 0,001. Overall analysis shows TRMM data can be used as an alternative of the rain data that is used to estimate flow discharge, but the result of flow discharge analysis is still better using rainfall data from the rain station posthttps://civense.ub.ac.id/index.php/civense/article/view/48rainfalltrmmrain station postvalidationflow dischargefj mock |
| spellingShingle | Lufi Suryaningtyas Suryaningtyas Suhartanto Ery Rispiningtati Rispiningtati Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub Watershed Civil and Environmental Science Journal rainfall trmm rain station post validation flow discharge fj mock |
| title | Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub Watershed |
| title_full | Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub Watershed |
| title_fullStr | Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub Watershed |
| title_full_unstemmed | Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub Watershed |
| title_short | Hydrological Analysis of TRMM (Tropical Rainfall Measuring Mission) Data in Lesti Sub Watershed |
| title_sort | hydrological analysis of trmm tropical rainfall measuring mission data in lesti sub watershed |
| topic | rainfall trmm rain station post validation flow discharge fj mock |
| url | https://civense.ub.ac.id/index.php/civense/article/view/48 |
| work_keys_str_mv | AT lufisuryaningtyassuryaningtyas hydrologicalanalysisoftrmmtropicalrainfallmeasuringmissiondatainlestisubwatershed AT suhartantoery hydrologicalanalysisoftrmmtropicalrainfallmeasuringmissiondatainlestisubwatershed AT rispiningtatirispiningtati hydrologicalanalysisoftrmmtropicalrainfallmeasuringmissiondatainlestisubwatershed |