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Image of PENGEMBANGAN MODEL CURAH HUJAN-RUN-OFF BERBASIS CLOUD MENGGUNAKAN GOOGLE EARTH ENGINE DI MUARA SUNGAI BANYUASIN, SUMATERA SELATAN
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PENGEMBANGAN MODEL CURAH HUJAN-RUN-OFF BERBASIS CLOUD MENGGUNAKAN GOOGLE EARTH ENGINE DI MUARA SUNGAI BANYUASIN, SUMATERA SELATAN

Sarmila, Ria  - Personal Name;

Run-off happens when the soil is unable to collect rainwater. It plays a significant role in transporting domestic waste, but there is limited data on run- off. The SCS-CN (Soil Conservation Services-Curve Number) method calculates run-off estimates by considering land characteristics like vegetation, soil, and land use. Google Earth Engine (GEE) is effective for analyzing extensive geographic data. This study aims to validate the accuracy of modeled rainfall data and analyze the impact of land use and land cover (LULC) on run-off in the Banyuasin River Estuary from 2018 to 2022. The study areas include Lalan River, Banyuasin River, and Banyuasin River Estuary. Data processing involves validating rainfall data (CHIRPS) using BMKG data and processing of soil maps, LULC maps, soil moisture maps, and CN maps. The results of this study show that the correlation of rainfall data of the Lalan River is 0.461 (medium), for the Banyuasin River is 0.642 (strong) and for the Banyuasin River Estuary is 0.710 (strong). Lalan River has two LULC classes, Banyuasin River has six LULC classes, and Banyuasin River Estuary has eight LULC classes. High CN values lead to increased run-off. The run-off forecast model shows that the highest run- off is in 2022, which is 3,446.97 mm for the Lalan River, 2,895.74 mm for the Banyuasin River, and 2,965.44 mm for the Banyuasin River Estuary. Further research could utilize weather radar data and add cross-sectional area data to produce discharge data, which can be used for flood mitigation.


Availability
#
Central Library (Reference) T1513912024
T151391
Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1513912024
Publisher
Indralaya : Prodi Ilmu Kelautan, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2024
Collation
xiii, 126 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
551.488 07
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Ilmu Kelautan
Aliran Permukaan
Specific Detail Info
-
Statement of Responsibility
KA
Other version/related
TitleEditionLanguage
PENGARUH PERSENTASE TUTUPAN VEGETASI RUMPUT DAN INTENSITAS HUJAN TERHADAP KOEFISIEN ALIRAN PERMUKAAN (C)id
PENGARUH PERSENTASE TUTUPAN ATAP BANGUNAN DAN INTENSITAS HUJAN TERHADAP KOEFISIEN ALIRAN PERMUKAAN (C)id
ANALISIS ALIRAN PERMUKAAN SUNGAI TERHADAP ZONASI KERENTANAN BANJIR PADA SUB DAS BATANG MERANGIN TEMBESI, JAMBI-id
File Attachment
  • PENGEMBANGAN MODEL CURAH HUJAN-RUN-OFF BERBASIS CLOUD MENGGUNAKAN GOOGLE EARTH ENGINE DI MUARA SUNGAI BANYUASIN, SUMATERA SELATAN
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