• 한국물환경학회지
• /
• 제23권2호
• /
• pp.260-265
• /
• 2007

This study was carried out to complement water quality standards and to establish new concept for water quality standards reflecting current state of water quality in small streams. By this purpose, discriminant analysis was performed and Water Quality Level Model (WQLM) was developed using the data such as EC, BOD, $COD_{Mn}$, SS, T-N, T-P, $NH_3-N$ in 224 agricultural streams. To give water quality level for water quality parameters, it divided into 20% respectively in the order of excellent water quality. On the basis of the lowest water quality level, water quality level of small streams is granted. As a result of it, number of stream corresponding to Level I was no, Level II was 2 streams, Level III was 22 streams, Level IV was 70 streams, and Level V was 130 streams. Average of water quality in each level was the highest in Level V. EC, SS, and T-N of 7 parameters were selected in variance concerned water quality level. By standardized canonical discriminant function coefficient, EC of three variances was the highest in 0.625 at the discriminant power. The next was T-N (0.509), SS (0.414). By discriminant function for water quality level, Level II was equal to $-2.973+19.376{\times}(EC)+0.647{\times}(T-N)+0.009{\times}(SS)$, Level III was equal to $-3.288+19.190{\times}(EC)+0.733{\times}(T-N)+0.041{\times}(SS)$, Level IV was equal to $-4.462+27.097{\times}(EC)+0.792{\times}(T-N)+0.053{\times}(SS)$, and Level V was equal to $-9.117+40.040{\times}(EC)+1.305{\times}(T-N)+0.111{\times}(SS)$. As a result of test at real agricultural watershed of Jeongan and Euidang in Gongju city, the fitness of WQLM was high to 88.78%. But, to get accomplished water quality assessment more exactly in agricultural streams, we had to concentrate and get vast data, and WQLM was modified and complemented continually.

• 한국생물환경조절학회:학술대회논문집
• /
• 한국생물환경조절학회 2003년도 추계학술대회 논문집
• /
• pp.192-195
• /
• 2003

• 한국환경농학회지
• /
• 제27권4호
• /
• pp.314-320
• /
• 2008

During the summer season, more than half of the annual precipitation in Korea occurs during the summer season due to the geographical location in the Asian monsoon belt. So, this causes severe soil erosion from croplands, which is directly linked to the deterioration of crop/land productivity and surface water quality. Therefore, much attention has been given to develop accurate estimation tools of soil erosion. The aim of this study is to assess the performance of using the empirical Universal Soil Loss Equation (USLE) and the physical-based model of the Water Erosion Prediction Project (WEPP) to quantify eroded amount of soil from agricultural fields. Input data files, including climate, soil, slope, and cropping management, were modified to fit into Korean conditions. Chuncheon (forest) and Jeonju (level-plain) were selected as two Korean cities with different topographic characteristics for model analysis. The results of this current study indicated that better soil erosion prediction can be achieved using the WEPP model since it has better power to illustrate a higher degree of spatial variability than USLE in topography, precipitation, soils, and crop management practices. These present findings are expected to contribute to the development of the environmental assessment program as well as the conservation of the agricultural environment in Korea.

• 한국물환경학회지
• /
• 제25권2호
• /
• pp.212-220
• /
• 2009

In many studies, the Numeric Integration (NI) method has been widely used to calculate pollutant loads from the watershed because it is easy to apply. However, there have been many needs for more accurate pollutant loads estimation method with the restricted number of water quality samples. However, the ESTIMATOR model does not allow the users to define the regression model to explain the measured flow and water quality relationship, indicating the ESTIMATOR model is not flexible. The LOADEST model allows the user to choose the model type from 11 predefined general forms of regression equations. Annual loads of T-N and T-P with the LOADEST model were 0.70 times and 0.84 times of those by NI method, respectively. The coefficient of determination ($R^2$) of the LOADEST regression for the T-N and T-P were 0.92 and 0.72, respectively. This indicates that the load estimation regression model with the LOADEST for the study watershed explains the relationship between the observed flow and water quality data well reasonably well. Based on these findings, we suggest that the LOADEST model estimated regression equation could be used to estimate pollutant loads using the measured flow data for the study watershed.

• 유기물자원화
• /
• 제18권4호
• /
• pp.77-85
• /
• 2010

양돈분뇨의 처리는 환경문제 해결과 자원으로서의 이용 등 중요한 의미가 있다. 본 연구에서는 양돈분뇨의 처리 및 자원화 방법으로 개발된 SCB 액비를 토양에 시용했을 때 양분이 작물에 흡수 이용되는 양과 토양중에 잔류하는 양을 조사하여 SCB 시용량 및 시용방법 결정을 위한 기초자료를 제공하고자 하였다. 무비, 화학비료, 저장액비, SCB 액비를 완전임의배치 5반복으로 처리하여 시험을 수행하였다. 벼의 생육은 화학비료구에서 가장 좋았고, 다음으로 저장액비, SCB 액비, 무비구 순이었다. 볏짚 수량 역시 화학비료 처리구에서 가장 많았으며, 다음으로 저장액비, SCB 액비, 무비구 순이었다. 생육상황은 수량까지 이어져 무비구는 처리구보다 감수 경향을 보였으며, 다른 처리구 간에는 대동소이하였다. 식물체의 무기성분 흡수량에서도 화학비료를 비롯한 처리구의 질소, 인산 등 각종 무기성분 흡수량이 무비구에 비하여 많았으나, 이를 제외한 처리 간에는 큰 차이가 없었다.

• 농촌계획
• /
• 제25권3호
• /
• pp.19-27
• /
• 2019

The purpose of this study was to determine whether public services in rural areas performed the functions of public interest value that benefited all residents of rural areas. Therefore, the results were derived through spatial distribution and population characteristics analysis at the level of basic living service facilities. As a result, the status of spatial distribution in the Favorable and Vulnerable areas of rural villages and the status of population distribution in the vulnerable areas was analyzed for retail, child care and medical facilities. In the case of retail facilities, it was found that more than 80.0% of the country's farming villages were distributed in the favorable areas that could be reached within 15 minutes. In the case of child care facilities, 91.5% of the total number of favorable areas could be reached within 15 minutes, and the distribution of child care facilities nationwide was deemed proper. In the case of medical facilities, 90.8% or more villages could be reached within 15 minutes of travel time as a lawmaker, and in the case of hospitals and emergency medical services, 92.7% of hospitals and 68.2% of emergency medical services were analyzed as favorable areas. Through these results, the government intends to establish objective spatial data in rural areas to provide basic information on policy directions and contribute to planning.

• 한국기후변화학회지
• /
• 제8권4호
• /
• pp.347-355
• /
• 2017

Methane and nitrous oxide are main greenhouse gases from agricultural system and their global warming potential are 25 and 258 times stronger than that of $CO_2$, respectively. In 2016, the emission was $21,290Gg\;tone\;CO_2-eq$. which was emitted from agriculture sector and about 3.1% of total GHG emission of Korea. Those guidelines that were published by IPCC have methodology for GHGs emission calculation as well as emission factor and so on. For recent 5 years, GHGs emissions in Korea have calculated by MRV which has been improved every year based on IPCC guidelines. Analysis as estimating method improvement showed that the methane emissions from rice cultivation were the lowest on 2012 methodology, and the highest on 2014 methodology. On the other hand, the emissions of agricultural soils were the lowest on 2015 methodology and the highest on 2012 methodology. Total emissions from agriculture sector were the lowest on 2015 methodology and the highest on 2012 methodology. Compared with 2016 methodology, the GHGs emitted as few as $-1,865Gg\;tone\;CO_2-eq$ and as many as $2,717Gg\;tone\;CO_2-eq$. GHGs emissions can vary greatly, depending on how to use the emission factor and activity data. Therefore, it need constantly a detailed analysis for methodology and GHGs emission in the future.

• 생물환경조절학회지
• /
• 제23권3호
• /
• pp.174-180
• /
• 2014

Standard weather data available to greenhouse environmental design are limited in most regions of the country. So, instead of using standard weather data, in order to find the method to build design weather data for greenhouse heating and cooling, design outdoor weather conditions were analyzed and compared by TAC method and frequency analysis using climatological normal and thirty years from 1981 to 2010 hourly weather data provided by KMA and standard weather data provided by KSES. Average TAC values of outdoor temperature, relative humidity and insolation using thirty years hourly weather data showed a good agreement with them using standard weather data. Therefore, in regions which are not available standard weather data, we suggest that design outdoor weather conditions should be analyzed using thirty years hourly weather data. Average of TAC values derived from every year hourly weather data during the whole period can be established as environmental design standards, and also minimum and maximum of them can be used as reference data.

• 한국정보전자통신기술학회논문지
• /
• 제11권6호
• /
• pp.764-771
• /
• 2018

요즘 국내 외 농업 환경은 농업 인구의 고령화, 귀농 인구의 증가, 급격한 기후 변화, 농식품 유통 구조의 다양화, 수자원의 고갈 및 한정된 경작지 등 다양한 변화 속에 놓여 있다. 최근 농업을 둘러싼 다양한 환경 변화에 대응하기 위해 재배 전반의 작업이력인 작물 생육정보, 생육환경 및 농작업 일지 등과 같은 사항들을 쉽게 기록, 저장 및 관리하여 작물 생산량과 작업 효율을 높이기 위한 스마트 온실 실용화에 대한 관심이 증가하고 있다. 본 논문은 작물의 근권부에서 측정할 수 있는 생장환경 데이터인 온도, 습도, 일사량. CO2 농도 등과 같은 생육에 필요한 상황정보를 수집하고 수집된 데이터를 모니터링 할 수 있는 시스템을 제안한다. 생장 작물의 근권 측정부에서 측정된 데이터와 센서로 측정된 생장환경 데이터인 온도, 습도, 일사량 등의 데이터를 취합하여 400MHz의 무선 통신 게이트웨이에 전송하는 시스템을 개발하였다. 전송된 데이터를 Cloud 기반으로 근권 환경 데이터를 모니터링 및 데이터를 시각화 할 수 있는 통합 SW 개발을 진행하였다. 데이터의 시각화를 위한 그래프 형식과 데이터 형식으로 모니터링을 할 수 있도록 하였다. 기존 스마트팜은 농장내의 데이터만을 이용하여 작물 및 시설관리를 하고, 본 연구는 전국의 농장의 날씨 및 생장환경을 수집 및 분석하여 가장 효율적인 생장환경을 제시한다.

• 농촌계획
• /
• 제26권3호
• /
• pp.57-65
• /
• 2020

Agricultural research and development (R&D) investment has contributed not only to agriculture but also to the overall economic growth of the country. The recent arrival of the fourth industrial revolution has raised the need for agricultural R&D as a preparation. Agriculture R&D is directly related to the fourth industrial revolution in the agricultural and livestock sectors that utilize big data, robots, artificial intelligence and cloud. Meanwhile, subsidies or grants are considered the most widely used means of policy. Therefore, in light of the current situation in which Chinese agriculture values R&D investment, this study attempted to analyze the dynamic relationship between variables by establishing a model of agricultural environment subsidy representing the role of government, agricultural technology progress representing existing agricultural R&D investment, agricultural income representing agricultural development and total agricultural output. The analysis results showed that each variable's reaction to the rise in China's agricultural R&D investment has a positive effect on agricultural development, in line with the theory that the investment in science and technology in the agricultural sector has a positive effect. In addition, the response of each variable to China's rising agricultural environment subsidy is shown to have a positive relationship, which can also be said to be in line with the theory that the government's market-friendly intervention is beneficial to economic development.