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All Journal Acta Aquatica: Aquatic Sciences Journal Jurnal Ilmiah Kanderang Tingang
Husnayaen Husnayaen
Institut Sains dan Teknologi Nahdlatul Ulama Bali
Chemical Engineering, Chemistry & Bioengineering Chemistry Engineering Materials Science & Nanotechnology Other

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Analisis Risiko Banjir Sungai Tukad Unda Berbasis Pemodelan Hidrologi dan Hidraulika sebagai Dasar Strategi Mitigasi I Made Alit Widnyana; Husnayaen Husnayaen; Suci Rahmawati
Jurnal Ilmiah Kanderang Tingang Vol 17 No 01 (2026): Jurnal Ilmiah Kanderang Tingang
Publisher : FKIP Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37304/jikt.v17i01.449

Abstract

The Tukad Unda River in Klungkung Regency, Bali, plays a vital role in irrigation systems and local food security. However, land-use changes and increased rainfall intensity due to climate change and extreme weather events have heightened flood risks, potentially disrupting agricultural productivity and community accessibility. This study aims to develop a spatial flood vulnerability map of the Tukad Unda watershed using the 2D HEC-RAS hydrodynamic model integrated with Geographic Information System (GIS) data. Simulations were conducted for scenarios of extreme rainfall and land-use change, producing outputs such as water level, surface elevation, flow velocity, affected areas, and inundation distribution, validated through field data. The hydrological analysis shows that the design flood discharges for 50-year (Q50) and 100-year (Q100) return periods are 82.32 m³/s and 83.44 m³/s, respectively. Land use is dominated by mixed dryland agriculture with shrubs (39%), rice fields (20%), and dryland farming (14%). Based on HEC-RAS simulations, the difference in water depth and surface elevation between Q50 and Q100 conditions is relatively small (0.1–0.9 m), indicating that the hydraulic system of Tukad Unda remains stable but is approaching its maximum capacity. Therefore, flood mitigation strategies should focus on upstream conservation to control source discharge, optimizing river capacity in the middle segment to reduce inundation, and strengthening downstream protection systems to address the combined effects of river discharge and tidal influence.
Mapping mangrove forest density distribution and deforestation with machine learning on Google Earth Engine in West Nusa Tenggara Province Husnayaen Husnayaen; Alfian Anhar; Riyani Bela; Dwi Puspa Arini
Acta Aquatica: Aquatic Sciences Journal Vol. 12 No. 1 (2025): Acta Aquatica: Aquatic Sciences Journal
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/aa.v1i1.18783

Abstract

Mangrove forests play a very important role in reducing greenhouse gas emissions as part of efforts to mitigate climate change in Indonesia. The existence of mangrove forests is sensitive to extreme environmental changes, and high levels of utilization increase the risk of deforestation. The purpose of this study is to provide information regarding distribution, density, and deforestation of mangrove forests in 2023 in West Nusa Tenggara Province. Data processing was carried out based on cloud computing using Google Earth Engine with a random forest algorithm and supervised classification, utilizing Landsat satellite imagery data from 2000 and 2023. The classification of mangrove forest density was performed by interpreting the satellite imagery from 2023 using the NDVI (Normalized Difference Vegetation Index) method. Field surveys were conducted at 40 sample points to observe the presence and condition of mangrove forests that experienced deforestation in 2023. The results of image data processing were validated using field data and high-resolution images from Google Earth, with an accuracy assessment method presented in the error matrix. The results showed that mangrove forests have a sparse density of 4968.10 ha, a medium density of 2516 ha, and a dense density of 4928 ha. The total deforestation area in West Nusa Tenggara Province is 610 ha, with Dompu Regency having the largest percentage of deforestation, accounting for 68% of the total mangrove deforestation in West Nusa Tenggara Pronvince. The destruction of mangrove forests is mostly caused by the fisheries sector, namely the conversion of mangrove forests into pond sites.Keywords: Deforestation; Google Earth Engine; Mangrove Forest; NDVI; West Nusa Tenggara
Co-Authors Alfian Anhar Dwi Puspa Arini I Made Alit Widnyana Riyani Bela Suci Rahmawati