In this study, the grid field olfactory odor method was supplemented to the domestic situation in the surrounding areas of a domestic science industrial complex. The actual condition of the occurrence of odor frequency in the field was then investigated over the first period of late spring to summer and the second period of autumn in 2017. The frequency of odor occurrence in the area around the science industrial complex was increased as odor discharge facilities in the nearby area were concentrated. The odor occurrence frequency of the total period was 0.09~0.28, that of the first period was 0.08~0.32, and that of the second period was 0.05~0.25. The odor occurrence frequency in summer was higher than in autumn. The frequency by which the measurement of odor occurrence by smell type was most dominant was mainly smell of chemicals, plastics, and livestock houses during the first period, and the smell of chemicals, burning gases, and plastics during the second period. And the frequency of each smell type was judged to be different according to season. The odor occurrence frequency was measured as higher than 0.15, which is the standard of Germany's odor frequency in an industrial area, and it was judged that measures for odor management in the region were necessary. Since most of the odor discharge facilities are non-continuous systems and the odor generation frequency is more important than the concentration of the minimum detection concentration, it was judged that the German grid method can reflect the odor occurrence characteristics of the odor complaints or receptors for a certain period of time compared to the domestic measurement method. In the future, it was judged that the field olfactory odor method would be able to replace the evaluation method of odor assessment in Korea with the survey method of odor assessment under actual conditions in areas where it is difficult to access the odor discharge source or the receptor where odor complaints occur.

This study was conducted to examine the occurrence characteristics of pine trees infected by pine wood nematode in Gyeongsangbuk-do, Korea. Based on the GPS coordinate data of the infected trees at Yeongdeok-gun from 2013 to 2014 and at Andong-si in 2014, nearest neighbor analysis was conducted to analyze nearest distance between the infected trees. And the influence of geographical factors such as altitude, slope, and the distance from the road on the position of infected trees were identified. Our results showed that over 60% of the newly infected trees were found within 50m of the trees infected in previous year. Over 70% of infected trees occurred below 100m altitude in Yoeongdeok-gun whereas less 32% of total pine trees distributed below the altitude. 98% of the infected trees and 74% of total pine trees in Andong-si were found between 150 and 300m altitude, and altitudinal distribution of the infected trees was similar to that of pine forests. Only less 5% of infected trees found in the forests located below 5 degree of slope in Yeongdeok-gun whereas 18% of total pine trees existed in the areas. Over 50% of infected trees in the forests located from 10 to 20 degree of slope, and 47% of total pine trees were found in the forests located from 5 to 15 degree of slope. Most infected trees and total pine trees were found in the forests located below 15 degree of slope in Andong-si. Over 80% of the infected trees occurred within 1km of road in both study areas.

An ambrosia beetle, Platypus koryoensis, is a vector of Raffaelea quercimongolicae that is known to cause Korean Oak Wilt (KOW), one of the serious threats to forest healthy in Korea. To manage P. koryoensis properly, it is necessary to clarify flight period of the adult. This experiment was conducted to elucidate the relationship between temperature and the flight period based on field observation in three forests consisted of Quercus mongolica from 2007 to 2009 except winter season. Date of flight period for 50% (FP50) was estimated by the cumulative Weibull distribution model based on cumulative proportion of the adult density and air temperature. Relationship between site temperature and the date of FP50 of P. koryoensis was the most significant when temperatures below 6.5℃ were excluded, suggesting lower threshold temperature for the flight period based on the site temperature. The pooling cumulative proportion of flight period against degree days was well described by the degree-day model, which has explanatory power for the 89% of year and site variation in the flight period and predicted accurately the flight pattern in 2011.