Community composition and abundance of aquatic invertebrates are important for ecological functions. Community characteristics of insects and gastropods were compared in five regions to investigate the effect of geological factors in surveys conducted between June and August to analyze seasonal changes in invertebrate communities. Underwater traps were used to obtain a constant collection effect. Insect communities were dominated by Hydrochara affinis, Rhantus suturalis and Sigara nigroventralis, and nMDS analysis demonstrated the separation of their communities by region. H. affinis and Sternolophus rufipes were not found in Haenam and Cheolwon, respectively. The results showed the effects of regional temperature on the distribution of aquatic insects. Pomacea canaliculata, Hippeutis cantori and Austropeplea ollula were dominant in the gastropod community. The seasonal variation in the abundance of P. canaliculata was the most pronounced, and its abundance in August was 38.2 times higher than in June. The abundances of several species including Hippeutis cantori were negatively correlated with that of P. canaliculata. These results suggest that P. canaliculata is a pivotal factor that drives seasonal changes in gastropod community.

노후콘크리트 포장 수명을 연장하기 위한 방안으로 아스팔트 덧씌우기가 일반적이나 반사균열을 억제하기 어렵다는 단점이 있다. 반사균열을 억제하기 위하여 줄눈부 보수, 응력 완화층 설치가 적용되는 경우가 있으나 반사균열의 진전 속도를 늦추는 제한적인 성공을 보여 왔다. 콘크리트포장 슬래브를 원위치에서 파쇄하여 기층재료로 활용하고 그 위에 덧씌우기 포장을 건설하는 러블라이제이션 공법은 기존 덧씌우기 보강 공법을 갖고 있는 반사균열 문제를 완벽하게 해결할 수 있는 장점을 가지고 있다. 러벌라이제이션 공법을 적용할 경우 파쇄된 노후 콘크리트 포장층 상부층은 40mm-70mm로 파쇄되나 하부층은 100mm이상 되는 경우가 일반적이다. 국내 고속도로와 같이 상대적으로 두꺼운 콘크리트 포장 슬래브를 사용하는 경우 전체 포장 두께를 파쇄하기에 어려움이 있다. 따라서 파쇄된 노후 콘크리트 포장층이 반사균열을 유발시키지 않는 도로기층으로써의 역활을 확보하기 위한 적정 파쇄 깊이를 파악하기 위하여 본 연구에서는 미국 DOT에서 제안한 일반적인 파쇄규격(40mm-70mm)을 기준으로 파쇄 깊이를 0cm, 10cm, 20cm,로 변화시켜가며 반사균열 실내 모사 실험을 수행하여 반사균열 저항 특성을 분석하고 적정파쇄 깊이를 검토하였다.

The main objective of this study was to assess the applicability of IoT (Internet of Things)-based flood management under climate change by developing intelligent water level monitoring platform based on IoT. In this study, Arduino Uno was selected as the development board, which is an open-source electronic platform. Arduino Uno was designed to connect the ultrasonic sensor, temperature sensor, and data logger shield for implementing IoT. Arduino IDE (Integrated Development Environment) was selected as the Arduino software and used to develop the intelligent algorithm to measure and calibrate the real-time water level automatically. The intelligent water level monitoring platform consists of water level measurement, temperature calibration, data calibration, stage-discharge relationship, and data logger algorithms. Water level measurement and temperature calibration algorithm corrected the bias inherent in the ultrasonic sensor. Data calibration algorithm analyzed and corrected the outliers during the measurement process. The verification of the intelligent water level measurement algorithm was performed by comparing water levels using the tape and ultrasonic sensor, which was generated by measuring water levels at regular intervals up to the maximum level. The statistics of the slope of the regression line and   were 1.00 and 0.99, respectively which were considered acceptable. The error was 0.0575 cm. The verification of data calibration algorithm was performed by analyzing water levels containing all error codes in a time series graph. The intelligent platform developed in this study may contribute to the public IoT service, which is applicable to intelligent flood management under climate change.

The objective of this study was to predict land use change based on the land use change scenarios for the Hwangguji river watershed, South Korea. The land use change scenario was derived from the representative concentration pathways (RCP) 4.5 and 8.5 scenarios. The CLUE (conversion of land use and its effects) model was used to simulate the land use change. The CLUE is the modeling framework to simulate land use change considering empirically quantified relations between land use types and socioeconomic and biophysical driving factors through dynamical modeling. The Hwangguji river watershed, South Korea was selected as study area. Future land use changes in 2040, 2070, and 2100 were analyzed relative to baseline (2010) under the RCP4.5 and 8.5 scenarios. Binary logistic regressions were carried out to identify the relation between land uses and its driving factors. CN (Curve number) and impervious area based on the RCP4.5 and 8.5 scenarios were calculated and analyzed using the results of future land use changes. The land use change simulation of the RCP4.5 scenario resulted that the area of urban was forecast to increase by 12% and the area of forest was estimated to decrease by 16% between 2010 and 2100. The land use change simulation of the RCP8.5 scenario resulted that the area of urban was forecast to increase by 16% and the area of forest was estimated to decrease by 18% between 2010 and 2100. The values of Kappa and multiple resolution procedure were calculated as 0.61 and 74.03%. CN (Ⅲ) and impervious area were increased by 0-1 and 0-8% from 2010 to 2100, respectively. The study findings may provide a useful tool for estimating the future land use change, which is an important factor for the future extreme flood.

The objective of this study was to develop agricultural reservoir water supply simulation system to assess water cycle of agricultural water district. Developed system was named as ARWS (Agricultural Reservoir Water supply simulation System). ARWS consists of platform and independent modules. In ARWS, reservoir inflow was calculated using Tank model, and agricultural water supply was calculated considering current farming period and mid-summer drainage. ARWS was applied to simulate water level of Gopung and Tapjung reservoir in 2011 - 2012. The results were compared to simulation results of HOMWRS and observed data. Average R2, EI, RMSE of ARWS were 0.76, 0.46, 1.78 (m), average R2, EI, RMSE of HOMRWS were 0.88, -0.14, 2.37 (m) espectively. Considering statistical variances, water level simulation results of ARWS were more similar to observed data than HOMWRS. ARWS can be useful to estimate reservoir water supply and assess hydrological processes of agricultural water district.

The objective of this research was to develop a relational database management system(RDBMS) to collect, manage and analyze data on agricultural non-point source(NPS) pollution. The system consists of the relational database for agricultural NPS data and data process modules. The data process modules were composed of four sub-modules for data input, management, analysis, and output. The data collected from the watershed of the upper Cheongmi stream and Geunsam-Ri were used in this study. The database was constructed using Apache Derby with meteorological, hydrological, water quality, and soil characteristics. Agricultural NPS-Data Management System(ANPS-DMS) was developed using Oracle Java. The system developed in this study can deal with a variety of agricultural NPS data and is expected to provide an appropriate data management tool for agricultural NPS studies.

The potential antioxidant activities of different fractions from Prunella vulgaris var. lilacina were assayed in vitro. Among several fractions, n-BuOH fraction showed the highest 1,1-di[henyl-2-picrylhydrazyl (DPPH) free radical scavenging (IC50=0.50μg/mL). The results of 2,2'-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS) radical scavenging activity and ferric reducing antioxidant power (FRAP) assay showed the concentration dependency and n-BuOH fraction appeared a better result than the other fractions at the same concentrati on in this study. Moreover the total phenol and flavonoid contents of n-BuOH fraction contained the highest level. Additionally, correlation analysis indicated a high correlation between the antiradical activity and the total phenolic and flavonoid contents (p 〈 0.001). It suggests that n-BuOH fraction obtained from the 70% EtOH crude extract of Prunella vulgaris var. lilacina has wide potential for use as a source of antioxidant material.