The purpose of this study is to investigate basic parameters which are essential for tidal correction of gravity data. This study involves computation of the theoretical values and laboratory measurements of tidal force of gravity. The theoretical variation of tidal force was computed according to the relative position of moon and sun on the celestial sphere by using a computer program Gravity measurements were carried out in Seoul University for 120 operation-hours, and also in coastal area in Incheon for 48 operation-hours. The gravimetric factor (δ) and phase delay were determined by comparing theoretical values with measured gravity data. Summarized results of this study are as follows ; (1) The gravimetric factor in Seoul is in the range of 1.22∼1.36(avg.=1.28) and the phase delay is in the range of 0.1∼0.3 hours (avg.=0.16 hours). (2) The mean garvimetric factor in Incheon is 1.31 and mean phase delay is 0.025 hours (3) The difference of mean gravimetric factor between in Seoul and in Incheon is 0.03 and that of phase delay is 8 minutes.

The authors analyzed the daily catch data which were obtained from two different regions at the Southern Sea in Korea, Neungpo, Geoje island and Yangwhagum, Namhae island, during three or four years in 1978, 1981-1985, in order to know the fishing characteristics of the set net fisheries. The favorable fishing season was summer in the southern sea. The total catches during one year were greatly affected by those several day when the dominant species of fish were caught in large quantities. The dominant species of fish at Neungpo were little horse mackerel, sand lance, sardine, hair tail, spanish mackerel and common mackerel, and those at Yangwhagun were anchovy, little horse mackerel, sardine, spanish mackerel and gizzard shad, in order of catch. Especially, the little horse mackerel and the sardine appeared to make up very big schools at both Neungpo and Yangwhagum. The occurrence seasons of the dominant species were different by the region, but generally those were earlier at western part than at eastern part of the Southern Sea in Korea.

The earthquake source parameters of Daegu and Incheon Earthquakes occurred on July, 1985 are redetermined and compared with those reported by Central Meteorological Office of Korea(CMO). Instead of the travel time table used in CMO, the seismic velocity structure calculated from the explosion seismic records of the southern part of Korea is adopted in determining source parameters, P-wave and S-P wave arrival times obtained from seismograms recorded in the networks of KIER and JMA including CMO are used. The discrepancies of determined epicenter and focal depth between CMO and the present work appear to be 6∼8 ㎞ and about 10 ㎞, respectively. In conclusion, the potential error included in epicenter of the Korean instrumental earthquake data is supposed to be about 10 km for the earthquakes(M$gt;3) occurred within the CMO network. However, the error will probably be more than 10 ㎞ for smaller earthquakes or earthquakes of the outside of the network.

The computation of the undulation of the Moho discontinuity from gravity data has frequently been carried out by the application of the Fourier series and the Sinc function (sin x/x), However, no serious effort has been attempted to examine the suitability of data and the adaptability of implicit assumptions required in such methods. This paper deals with model studies for comparison of the Fourier series and Sinc function methods, and examinations of several criteria for obtaining meaningful results. Also, an inversion method based on mass plane concept has been devised to complement the weakness of the above two methods. This method has been appeared as an effective scheme for increasing depth computation points so that a more detailed undulation is obtained.

The offshore magnetic data were analyzed to determine the depth of magnetic basement of Kyungi-bay. The mean depth to the basement was computed by a power spectral analysis method. To determine the relief of magnetic basement, the total magnetic intensity data were first reduced to the pole and transformed to a pseudo-gravimetric anomaly data using the Poisson's relation. The relief of basement was estimated from the downward continued pseudo-gravimetric anomaly data to the mean depth. In the process of data preparation, Tuckey and Harming filter was used to suppress the near surface effect of short wavelength. A band-pass filter was also applied before downward continuation. From the result of this study, it is appeared that the magnetic basement rock is ccmposed of mainly granite gneiss and depth to the basement rock is varied from 300m to 500m. The relief of magnetic basement is appeared to reflect the general topography in this area.

Quantitative habitat model is established with species occurrence and spatial abundance data, which were usually acquired by professional field ecologists and citizen scientists. The importance of citizen science data is increasing, but the quality of these data needs to be evaluated. This study aims to identify and compare both expert-based data and citizen science data based on the performance power of quantitative models derived from both data sets. A Maximum Entropy (MaxENT) model was developed using eight environmental variables, including climate, topography, landcover and distance to forest edge. The AUC values derived from the MaxENT model were 0.842 and 0.809, respectively, indicating a high level of explanatory power. All environmental variables has similar values for both data sets, except for the distance to forest edge and rice paddy, which was relatively higher for expert-based survey data than that of the citizen science data as the distances increased. This result suggests that habitat model derived from expert-based survey data shows more ecological niche including wider ranges from forest edges and isolated habitat patches of rice paddy. This is presumably because citizen scientists focuses on direct observation methods, whereas professional field surveys investigate a wider variety of methods.

Eight years (2014–2021) of climate data were collected from an automatic weather observation system installed at the foot of Mt. Geumo in Chilgok, Gyeongbuk. Using these data, we investigated local bio-climatological indices (warmth index, WI; coldness index, CI; and effective accumulated temperature, EAT) of the mountain region adjacent to the Keimyung Dongyeong forest. The study area’s WI and CI were 109.3℃ and –11.3℃ per month, respectively, averaged across 8 years. These values are indicative of an evergreen broad-leaved forest in the warm temperate climate zone, suitable for cultivating sweet persimmons and figs. Additionally, EAT in Dongyeong was 2,113.7℃, averaged across 8 years, suitable for growing crops such as corn, soybean, and potato.