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All Journal The Indonesian Journal of Computer Science
Aye, Nilar
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : The Indonesian Journal of Computer Science

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Assessment of Urban Flood Problems in Mandalay Ingyin Mar, Tint; Aye, Nilar
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4529

Abstract

Urban flooding poses significant challenges to Mandalay, exacerbated by rapid urbanization and inadequate drainage infrastructure. This study assesses urban flood problems in three basins such as Shwe Kyin, Thin Ga Zar, and Pa Yan Taw using the Storm Water Management Model (SWMM) under return periods of 10, 30, and 50 years. The required parameters, including rainfall patterns, land use, hydrologic soil group and drainage network characteristics, were used to simulate runoff and flood dynamics. After simulation, the maximum flood depths were evaluated for the three basins at specific time intervals. The results indicated that the maximum flood depth was observed as 0.1 m for Shwe Kyin Basin, 0.5 m for Thin Ga Zar Basin, and 0.6 m for Pa Yan Taw Basin, respectively. These findings emphasized a valuable reference for urban planning and disaster management strategies.
Investigation of Hydrological Drought in Central Dry Zone, Myanmar Poe Zar Ni Aung; Aye, Nilar; Yin Yin Htwe
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4586

Abstract

This study presents the investigation of hydrological drought in Myanmar’s Central Dry Zone using the Streamflow Drought Index (SDI) across various timescales (3, 6, 9, and 12 months) to assess its impact on water resources and agricultural productivity. The Central Dry Zone, which includes the Ayeyarwaddy River and encompasses the regions of Sagaing, Mandalay, and Magway, shows significant vulnerability of hydrological extremes due to its semi-arid climate and dependence on water resources. Monthly discharge data from selected hydrological stations from 1993 to 2022 is analyzed using DrinC 1.7 software to derive SDI values and drought characteristics. The results show that critical drought events in 2005-2006, 2013-2015, and 2019-2021 for all stations are marked by high severity and extended duration. Short-term SDI (SDI 3 and SDI 6) values capture rapid, intense droughts, while long-term SDI (SDI 9 and SDI 12) highlight extended water shortages. From this result, Monywa station shows the highest severity and duration of droughts across all SDI timescales compared to other stations. The results underscore the necessity of strategic water management and drought mitigation measures to protect agriculture and guide planning, establish early warning systems, and support sustainable development in the Central Dry Zone, Myanmar.
Co-Authors Ingyin Mar, Tint Poe Zar Ni Aung Yin Yin Htwe