Effects of morbidity in Korean peninsula due to sand dust using satellite aerosol observations

Abstract

:The occurrence of sand dust has been steadily increased since 1990 and the amount of damage was also increased. In most of previous studies, ground based observations were used for sand dust analyses, but its high spatio-temporal variability has not been well understood. In this study, satellite aerosol observations were used to overcome current limitations of the sand dust variability in space and time and to estimate associations with morbidity of respiratory and cardiovascular ailments. In general, high AODs were observed in the west part of the Koran peninsula in spring. The reasonable associations between the morbidity and sand dust were observed from April to July with highest positive correlation (~0.6) at three month lags (lag 3). Based on the results, we found a utility of the satellite aerosol observations for sand dust analyses by considering of morbidity effects. In addition, health effect against the sand dust is proved to be examined and smooth medical supplies and prevention of undesired medical expenses would be possible.

Night Fishing Boat Light Detection Using DNB Data and Deep Neural Network

“…Therefore, this study first describes how to produce the DNB data using TeraScan software and Raw Data Records (RDR), Science Data Records (SDR), and Environmental Data Records (EDR). Then, we propose a Deep Neural Network (DNN)-based model for inferring the lights of nighttime fishing boats from the calculated DNB data (Choi, Kim, and Yang, 2022;2023). To improve the accuracy of the proposed model, we utilized information such as differences in the moonlight and cloud distribution (Heidinger and Weiss, 2013;Kim et al, 2021;Wang and Xiong, 2014;Xiong et al, 2014).…”