Industries that use or produce radionuclides have unintentionally released these substances into surrounding soils and sediments. To address this problem, Beautiful Environmental Construction (BEC) Co. developed the BEC’s Radioactive Soil Decontamination (BERAD) system to remove contaminants and reduce the volume of radionuclide-contaminated soils. Owing to the limited availability of radioactive isotopes such as 60Co, 90Sr, 137Cs, and uranium-contaminated soil, naturally occurring elements in soil were used in this demonstration. The soil was divided into six size fractions via manual wet sieving and the BERAD system. Then, the concentrations of uranium, cobalt, strontium, cesium, and iron in each fraction were measured. The results of both separations showed that a considerable amount of each element is retained in the finer size fractions (<0.2 mm). After BERAD separation, the corresponding values yielded 53% uranium, 45% strontium, 66% cobalt, and 53% cesium in the fine size (<0.2 mm) fractions of 35% by weight. The study found that the concentrations of these elements increased as the particle sizes decreased. Iron and micaceous minerals played a significant role in retaining the elements. The pilot scale BERAD system yielded results that were similar to those obtained via laboratory wet-sieving and was successfully demonstrated as a soil washing technology.

The density of sweetpotato whitefly, Bemisia tabaci, on greenhouse paprika (Capsicum annuum var. angulosum) were determined by counts of the number of B. tabaci per leaflet in Jinju, Gyeungsangnamdo during 2014. Binomial sampling plans were developed based on the relationship between the mean density per leaf (m) and the proportion of leaf infested with less than T B. tabaci per leaf (PT), according to empirical model (ln(m) = α + β(ln(-ln(1-PT))). T was defined as tally threshold, and set to 1, 2, 3, 4, 5 (adults) and 1, 3, 5, 7 (pupae) per leaf in this study. Increasing sample size, regardless of tally threshold, had little effects on the precision of the binomial sampling plan. Increasing sample size had little effect on the precision of the estimated mean regardless of tally thresholds. T=1 was chosen as the best tally threshold for estimating densities of B. tabaci adults based on the precision on the model and T=3 was best tally thresholds in B. tabaci pupae. Using the results obtained in the greenhouse, simulated validation of the developed sampling plan by RVSP (Resampling Validation for Sampling Plan) indicated the suitable results.

Local distribution of insect pest population should be changed in near future as well as their host based on climate change scenario. Although well defined insect geographical distribution model is developed and projected its potential establishment in Korea, it has defectiveness without geographical matching of its host, because, in agriculture, insect pest damage is related by host-insect synchrony in time and space. In this study, the possible geographical distributions of two insect species, Corposina sasakii (native species) and light brown apple moth, Epiphyas postvittana (possible invasive species), were estimated by CLIMEX simulation under RCP8.5 climate change scenario. Projected farm land suitability of apple trees was obtained from open website of Fruit Research Division, NIHHS, RDA. All the potential geographical distribution maps were overlapped then the spatial synchrony were analyzed by SADIE (spatial analysis with distance indices) , which allows improved interpretation of the spatial synchrony.

A fixed-precision level sampling plan was developed for Bemisia tabaci in paprika greenhouses. A sampling plan consisted spatial distribution analysis, sampling stop line and decision making in order to establish B. tabaci control in paprika greenhouses. Sampling was conducted in two independent greenhouses at same time (GH 1, GH 2). The GH 1 and 2 were surveyed every week for 22 consecutive weeks, sampling locations of each greenhouse were 19 for GH 1, 9 for GH 2, respectively. The plants in the both greenhouse were divided top (200cm from the ground), middle (100cm from the ground), bottom (50cm from the ground) and observed B.tabaci’s adults and B.tabaci’s pupae in three paprika leaves at each position and recorded separately. GH 2 data was used to validate of fixed-precision sampling plan which developed by GH 1 data. In this study, spatial distribution analysis was evaluated using Taylor’s power law with the pooled data of the top and bottom (B.tabaci’s adults), the middle and bottom (B.tabaci’s pupae) in a 1-leaf sampling unit. Decision making is evaluated by maximum & minimum of action threshold according to the condition from several reference, and the value decided by the price of the plants. Using the results obtained in greenhouse, result simulated validation of developed sampling plan by RVSP(Resampling Validation for Sampling Plan) was showed reasonable precision level.

The establishment of insect population in certain region is affected by three major characteristics, the host spectrum, the phenological plasticity and the overwintering strategy. The geographical distribution of insect population is directly affected by their successful establishment in local environment, thus, in case of development of potential geographical distribution models, three major characteristics should be considered carefully. In this study, we developed geographical distribution model using CLIMEX system with well-known insect species, Carposina sasakii. Its geographical distribution is limited to northeast Asia including Korea, Japan, China and the Soviet Far East. C. sasakii overwinters as a full-grown larva within spherical and compactly woven larval-cocoons in the soil. We calculated Diapause Index (DI) then incorporated DI into CLIMEX system to simulate Ecoclimatic Index (EI), which stands for ability of establishment in a certain area for further studies of geographical distribution of insect populations which have overwintering strategy in their life history.

Chemical control is the indispensable part of insect pest management. However, due to overuse of pesticides, the emergence of resistance to pests and environmental pollution problems are appeared. In order to solve these problems, the need of integrated pest management (IPM) has emerged. The IPM means that the pest density should be controlled and maintained to avoid any economic loss, also to minimize any side effects to the human beings and environment using appropriate control methods. In order to do successful IPM, sampling plan should be prepared. Sampling plan consists of monitoring, density estimation and decision making of target insect pests in certain crop field including the knowledge of spatial distribution. Tabaco whitefly, Bemisia tabaci, and Western flower thrips, Frankliniella occidentalis, are serious insect pests in paprika greenhouses. We selected two paprika greenhouses with different sizes (12,000 m2 and 4,000 m2). Insect pests monitoring was evaluated from January 24, 2014 to June 27, 2014. Two monitoring methods are used to develop sampling plans, one is visual survey for B. tabaci population, and the other is using sticky trap for F. occidentalis population, respectively. We calculated spatial distribution using Taylor’s Power Law (TPL). In visual survey results, TPL showed that adults and pupae of B. tabaci were aggregated in paprika greenhouses. And in trap survey results, F. occidentalis was also aggregated with different scale of the slope of TPL equation. In density estimation, the more density of insect pests, the less samples were required. Moreover, the more accuracy, the more samples were required for stop sampling in greenhouses. We selected hypothetic action threshold of 0.3 and 5 for decision making. As a result, if the action threshold is increased, the maximum sample number is decreased