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Improvements in rainfall estimation over Bangkok,Thailand by merging satellite,radar,and gauge rainfall datasets with the geostatistical method

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Big Earth Data 2023年第2期7卷 251-275页

作者： Parichat Wetchayont Chaiwat Ekkawatpanit Sunsern Rueangrit jittawat manduang Department of Geography Faculty of Social SciencesSrinakharinwirot UniversityBangkokThailand Civil Engineering Department King Mongkut’s University of Technology ThonburiBangkokThailand Drainage information Division Drainage and Sewerage DepartmentBangkok Metropolitan AdministrationBangkokThailand Department of Microbiology Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand

Bangkok is located in a low land area,and floods frequently occur from rainfall,river discharge,and tides.High-accuracy rainfall data are needed to achieve high-accuracy flood predictions from hydrological models.The main objective of this study is to establish a method that improves the accuracy of precipitation estimates by merging rainfall from three sources:an infrared channel from the Himawari-8 satellite,rain gauges,and ground-based radar observations.This study applied cloud classification and bias correction using rain gauges to discriminate these errors.The bias factors were interpolated using the ordinary kriging(OK)method to fill in the areas of estimated rainfall where no rain gauge was available.The results show that bias correction improved the accuracy of radar and Himawari-8 rainfall estimates before their combination.The merged algorithm was then adopted to produce hourly merged rainfall products(GSR).Compared to the initial estimated product,the GSR is significantly more accurate.The merging algorithm increases the spatial resolution and quality of rainfall estimates and is simple to use.Furthermore,these findings not only reveal the potential and limitations of the merged algorithm but also provide useful information for future retrieval algorithm enhancement.

关键词： QPE merging weather radar Himawari-8 Bangkok

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Effects of Supplementation of Dries Bio-Floc as Immuno-Stimulants on Survival Rate of Tilapia Infected with Flavobacterium columnare, VETSV01

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Journal of Pharmacy and Pharmacology 2018年第5期6卷 526-530页

作者： Sulaiman Madyod Suwanna Madyod Suwit Wuthisuthimethavee jittawat Rodpun Rujira Makechumphon Paweera Thonglaw Faculty of Veterinary Science Rajamangala University of Technology Srivijaya Thugyai District Nakhon Si Thammarat Province80240 Thailand Faculty of Science and Technology Rajamangala University of Technology Srivijaya Thungsong District Nakhon Si Thammarat Province 80110 Thailand School of Agricultural Technology Walailak University Thasala District Nakhon Si Thammarat Province 80161 Thailand

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