旭硝子財団助成研究成果報告2023

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117Dudy Darmawan WIJAYA118Eka DJUNARSJAH119SUKRASNOAutomatic real-time monitoring of water vapour from the Indonesian permanent GNSS network for hydro-meteorological disaster management(Project 2022)Development of flood inundation analysis due to climate and land-use changes scenarios for disaster management in the coastal area of Bireuen District, Aceh Province(Project 2022)The Development of Microcapsules of Isoflavone Extract Fraction from Soya Tempeh as Supplement for Polycystic Ovary Syndrome (PCOS)(Project 2022)旭硝子財団　助成研究成果報告（2023）82Hydro-meteorological disasters are the type of disasters that occur most frequently in Indonesia, causing considerable losses and damages. Climate change increases the amount of atmospheric water vapour, which triggers the hydro-meteorological disasters. It is therefore necessary to monitor and observe atmospheric water vapour for weather forecasting and disaster mitigation. Furthermore, long timeseries of atmospheric water vapour observations will be beneficial for studying the climate change in the region. At the moment, the Indonesian permanent Global Navigation Satellite Systems (GNSS) network consists of more than 200 stations and records data with a rate of up to 1 Hz. This network can be used to support the hydro-meteorological disasters management. An automatic system to retrieve atmospheric water vapour has been established previously. However, the results are available several days after observations and therefore cannot be used for early warning or weather system. In this research, we will establish a real-time monitoring system that will automatically download and analyze the data from all of the stations every hour. The resulting estimated precipitable water vapour (PWV) will be published with a latency of one hour at the latest. When the system is fully operational, it will become a complementary part for the Indonesian Early Warning System. Such real-time system has never been implemented in Indonesia and therefore it requires an optimal method for processing and analyzing GNSS data over the equatorial region. The proposed research is addressed to achieve the following two-main goals: (1) to develop a proper algorithm and processing technique to determine atmospheric water vapour from GNSS in real-time, and (2) to develop an automatic processing system for atmospheric water vapour retrieval.This study uses the Soil Conservation Service-Curve Number (SCS-CN) method to estimate flood-prone areas in Bireuen District, Aceh Province, incorporating data such as Digital Elevation Model (DEM), precipitation, soil type, land cover, and the district’s spatial masterplan. Findings indicate that extreme precipitation-induced environmental changes lead to a 5-7% variation in flood-affected areas, while land cover disparities contribute only 1% impact. Currently, 5.1% of the district is susceptible to flooding, but implementing the spatial masterplan reduces flood-prone areas to 2.4%. The research demonstrates the efficacy of spatial modeling in estimating flood potential and identifying causes. It also quantifies the consequences of the spatial masterplan and its effectiveness in mitigating flood risks, offering insights for flood management strategies in Bireuen District.Isoflavone aglycones (IFAs) in soybean attract the intention due to their activity as phytoestrogens that can be treat hormonal syndrome in women, such as polycystic ovary syndrome (PCOS). These compounds enhanced through a hydrolysis process. During this year, we focused on analyzing IFAs from different varieties of soybean, as well as acidic hydrolysis and fermentation in tempeh production. Since the main cause of PCOS