• 한국환경농학회지
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• 제40권3호
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• pp.169-178
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• 2021

BACKGROUND: The Ministry of Agriculture, Food and Rural Affairs is promoting agri-environment conservation program to induce farmers to participate in agricultural environment improvement and conservation activities. However, assessment tools based on scientific evidence are needed to determine the effectiveness of the program objectively and quantitatively. Therefore, this study was performed to develop plant indicators in order to efficiently evaluate the effects of the agri-environment conservation program promoted by the Ministry of Agriculture, Food and Rural Affairs. METHODS AND RESULTS: The survey was conducted in five regions (Hampyeong, Boryeong, Mungyeong, Hongseong, and Sangju) participating in the agri-eonvironment conservation program. In each region, twenty paddy fields were investigated (ten paddy fields included in the program and ten paddy fields not included in the program). A total of 231 taxa vascular plants were identified in the paddy fields that were included in the agri-environment conservation program, and a total of 177 taxa were identified in the paddy fields that were not included. The average species number occurred on each field was 55.8 taxa in the fields included in the program, and 35.0 taxa in the fields not included in the program. The difference in occurring plants between two groups was found to be more higher in perennial plants than in annual plants. We selected the six groups as indicator plants through five criteria such as perennial plants and broadly occurring species, etc. to verify the effectiveness of the agri-environment conservation program: Taraxacum spp., Ixeris spp., Viola spp., Platago spp., Calystegia spp., and rare and endagered species. There was a high positive correlation between the score calculated using these indicator plants and the total number of plants species. CONCLUSION: This study suggests that it is possible to evaluate the agro-ecological environment by using indicator plants. The selected indicator plants can be effectively used to verify the effectiveness of projects such as agri-environmental conservation programs in the future.

• 농촌계획
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• 제23권4호
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• pp.127-141
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• 2017

The interest on rural ecological landscape has recently grown on the part of policy makers for rural development. While considerable efforts and resources have been invested to preserve and utilize rural landscape, we still lack a systematic means to quantify and evaluate ecosystem service value of the rural landscape and management status. So this study suggests rural ecological landscape management indicator considering ecosystem service value. It consists of 28 criteria and 107 subcategories, which can be applied to rural village. And We have applied ecosystem service value assessment and resident's management status on three villages, Moondang village, Yonggye village, and Sesim village.

• 한국환경농학회지
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• 제24권4호
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• pp.334-340
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• 2005

This experiment was conducted to evaluate the nutrient loss and to assess the eutrophication into small stream by intensive rains in the steeped cornfield during cultivation. The crop cultivated was a soiling com (DW5969), and the experimental plots were divided into two parts that were 10 and 18% of slope degrees. The amount of T-N and T-P loss was calculated by analysis of surface run-off water quality, and was investigated the effect of eutrophication to small stream as a part of life cycle assessment (LCA) methodology application. For the surface run-off water quality, EC and T-N values were highest in first runoff event as compared to the other events and maintained the stage state with litter variations at every hour during the runoff period except for EC in the slope 18%. However, T-P concentration has been a transient stage after runoff event of July 27. Total surface run-off ratio was not significantly different with slope degrees, but amount of T-N and T-P losses at 18% of slope were high as $5.96kg\;ha^{-1}\;and\;0.65kg\;ha^{-1}$ as relative to 10% of slope degree, respectively. Furthermore, T-N losses from run-off water in the sloped cornfield 10 and 18% were approximately 9.8 and 12.5% of the N applied as fertilizer when the fertilizer applied at recommended rates after soil test, respectively. For the eutrophication impact to the small stream, it was shown that $PO_4$ equivalence and Eco-indicator value at 18% of slope degree were greater as much $6.11kg\;ha^{-1}$ and 0.81 as compared to the slope angle 10%, respectively. Therefore, it was appeared that each effect of nutrient losses, eutrophication and Eco-indicator value was enhanced according with higher slope degree.

• 한국토양비료학회지
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• 제48권5호
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• pp.379-383
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• 2015

Indicators of environmental conditions describe the state of the environment and the quantity and quality of natural resources. This study deduced the evaluation items to assess each sub-indicator for agricultural water quality and conducted the surveying using the Delphi method based on agricultural water quality experts. Considering its importance, environmental, state, and management indicators showed that state indicator such as COD concentration for surface water and $NO_3-N$ concentration for groundwater was ranked as first and followed by amount of fertilizer. Its indicators were correlated with state and environmental indicators in surface water and groundwater. The best management indicators were calculated to assess the agricultural surface water and ground water quality. The indicator could be used in established policies for management and conservation of water resources.

• 농촌계획
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• 제25권4호
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• pp.27-33
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• 2019

Agricultural water for crops are faced with the need to improve the use efficiency due to the impact of climate change. Water productivity (WP) is known as a good indicator for assessing resources efficiency. This study was conducted to assess WP of rice and potential water consumption (PWC) as new indicator for water use efficiency assessment. The average of WP was 0.7 kg/㎥, and Jeonbuk had the highest WP as 0.83 kg/㎥. Kangwon and Kyungbuk had the lowest WP as 0.59 kg/㎥. PWC showed the same trend because of rice consumption per capita, but Total PWC considering population living in each province showed the different trend with PWC. Every year, the changing patterns of WP was increasing little by little, and the patterns of PWC was decreasing greatly than WP. These results mean that WP has been slowly improved through breed development and irrigation techniques, and PWC was affected by reduced rice consumption and WP increasing. PWC could also be useful as an indicator to compare the water use efficiency between provinces or nations.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2002년도 학술발표회 발표논문집
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• pp.33-36
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• 2002

The purpose of this study is to develope a indicator for agricultural water use. Agricultural water is challenged by the increase of water use in the sectors of urbanization and industry and social pressure to use water in sustainable and environmentally sound way. The development of agricultural environment indicators is divided into 13 sectors, among which agricultural water use indicators include amount and intensity of agricultural water use, efficiency of agricultural water use, shortage or surplus of water use, water stress, etc.. Agricultural water use indicators provide basic data for sustainable and environmentally sound agricultural development, and also help policy decision makers to solve water shortage problems through water policy and water management measures by making the most of the total available water resources.

• 한국응용곤충학회지
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• 제44권4호
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• pp.307-315
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• 2005

호리병벌과를 이용한 생물학적 환경평가 기법을 개발하기 위하여 농업지역 등 충 13개 지역에 대통트랩(nest trap)을 설치한 후 채집된 호리병벌과의 벌류를 분류 동정하고, 채집지의 환경에 따른 서식밀도를 분석하여 환경평가를 위한 유망종을 선발하였다. 시험기간 동안 총 7종이 채집되었으며, 그 중 황슭감탕벌(A. flavomarginatum Smith)이 우점종으로 나타났다. 호리병벌과에 속하는 종들의 영소수는 농업지역의 경우 무비무농약재배지에서 12.8개/m로 관행농업지의 7.2개/m에 비해 많았으며, 자연녹지의 경우 녹지지역(자연녹지도: 4.28)의 경우 13.4개/m로 상업지역(자연녹지도: 1.00, 1.2개/m)에 비해 많았다. 또한 영소수가 많은 지역일수록 종 풍부도 및 다양도 지수는 높게 나타났다. 한편, 농업농촌 생태계 등 자연환경평가 지표중으로 황슭감탕벌, 줄무의감방벌, 먹조롱박벌, 왕가위벌등 4종을 선발하였으며, 이들 종의 출현수 및 총 영소수, 종 다양도 등을 지표로 한 환경등급기준($I{\sim}IV$ 등급)을 설정하였다.

• 한국환경농학회지
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• 제40권4호
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• pp.248-259
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• 2021

BACKGROUND: Contaminated water was a major source of food-borne pathogens in various recent fresh produce-related outbreaks. This study was conducted to investigate the microbial contamination level and correlations between the level of sanitary indicator bacteria and the detection ratio of pathogens in agricultural water by logistic regression analysis. METHODS AND RESULTS: Agricultural water was collected from 457 sites including surface water (n=300 sites) and groundwater (n=157 sites) in South Korea from 2018 to 2020. Sanitary indicator bacteria (total coliform, fecal coliform, and Escherichia coli) and food-borne pathogens (pathogenic E. coli, E. coli O157:H7, Salmonella spp., and Listeria monocytogenes) were analyzed. In surface water, the coliform, fecal coliform, and E. coli were 3.27±0.89 log CFU/100 mL, 1.90±1.19 log CFU/100 mL, and 1.39±1.26 log CFU/100 mL, respectively. For groundwater, three kinds of sanitary indicators ranged in the level from 0.09 - 0.57 log CFU/100 mL. Pathogenic E. coli, Salmonella and Listeria monocytogenes were detected from 3%-site, 1.5%- site, and 0.6%-site water samples, respectively. According to the results of correlations between the level of sanitary indicator bacteria and the detection ratio of pathogens by logistic regression analysis, the probability of pathogen detection increased individually by 1.45 and 1.34 times as each total coliform and E. coli concentration increased by 1 log CFU/100mL. The accuracy of the model was 70.4%, and sensitivity and specificity were 81.5% and 51.7%, respectively. CONCLUSION(S): The results indicate the need to manage the microbial risk of agricultural water to enhance the safety of fresh produce. In addition, logistic regression analysis is useful to analyze the correlation between the level of sanitary indicator bacteria and the detection ratio of pathogens in agricultural water.

• 한국토양비료학회지
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• 제39권5호
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• pp.321-327
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• 2006

농업환경지표가 OECD 회원국간의 농업환경 비교와 이를 통한 농업환경 개선과 농업정책 수립에 대한 권고의 수단으로만 작용을 하지만 이것이 향후 통상 무역과 연계될 것은 추측 가능한 사실이다. OECD 농업환경지표를 우리나라에 그대로 적용했을 때 얻어진 지표 값이 우리나라의 농업환경을 사실대로 반영하지 못한다면 우리가 받을 피해는 미래에도 작용할 것이므로 이에 대한 새로운 제안을 통해 우리나라에 적합한 지표를 설정해야 한다. OECD에 의해 제안된 농업용수 사용 강도 지표는 논이나 밭에서 이용되거나 배수 유출되는 물의 특성을 모두 반영한 방법이 아니므로 몬순 기후지대에 속하는 한국에 적당하지 않다. 특히, 여름철 집중호우시기에 년 강우량의 2/3가 내리는 강우 특성은 이를 담수해 저장하는 능력을 가진 농경지의 수자원 보유능과 기타의 농업적 특성을 고려한 계산방법으로 농업용수를 산정해야 한다. 논의 경우 강우가 내리거나 관개가 되었을 때 담수나 침투를 통해 물을 지하로 배수해 지하수를 형성하거나 지표의 배수로나 하천을 통해 강이나 저수지로 상당량의 물을 흘려보내 다시 이용할 수 있도록 해준다. 즉, 농업용수로 계산되어 있는 물의 상당량은 다른 농경지나 생활용수 또는 공업용수나 하천 유지용수로 다시 이용된다. 따라서, 물 사용강도에 이용되는 농업용수는 농경지에서 소모되지 않고 지하수로 흘러 들어가거나 하천으로 유입되는 배출수를 고려하여 계산하는 것이 합리적이다. 이렇게 계산하면 22.9%(2001년)로 OECD 계산방법으로 얻어진 47%보다 24.1%가 낮아진다. 합리적인 농업용수 스트레스 지표를 산출하기 위해서는 각 나라마다 다른 나라와 강을 공유하고 있는지의 여부와 농업을 위한 주 취수원이 무엇인지를 살펴보아 그 나라에 적합한 스트레스 지표를 산출하도록 유도하는 것이 바람직할 것이다. 그러나, 실제 물에 대한 스트레스는 강우량, 수계별 수자원 부존량, 사용가능량, 농업용수 총공급수량, 환경 유지용수를 위한 기준 갈수량 확보 가능성, 농업용수 관리현황 및 저수율 분석, 수계별 농업용수 사용 가능량 및 기상 등이 복잡하게 작용할 것이므로 이 모든 인자들을 포함한 지표를 만들기는 쉬운 일이 아니다. 따라서, 우리나라는 OECD의 스트레스 지표와는 달리 환경 위해성 판단이 필요 없고, 계산이 복잡하지 않으며 우리의 환경에 적합하도록 주 취수원인 농업용 저수지의 저수율로 농업용수 스트레스 지표를 산정 했다. 농업용수 사용 기술적 효율지표는 작물의 재배 생리특성 및 이용특성과 지역마다 차이가 나는 기후의 특성을 반영하지 않은 계산의 결과이다. 그러므로 이러한 특성들을 반영하는 기술적 물 이용효율 지표를 만들기 위해서는 각 지역 또는 나라마다 작물별로 기준이 되는 물 소요량을 산정한 후 그 소요량에 대한 공급된 양의 비율로 WUTE를 결정하는 것이 합리적이다. 지역별, 작물별 특성을 포함해야 하는 농업용수 사용 경제적 효율 지표는 소비된 물을 분모로 삼아 계산에 이용하는 대신에 농업용수 사용 기술적 효율에서 제안한 각 지역 또는 나라마다 작물별로 기준이 되는 물 소요량을 산정한 후 그 소요량에 대한 공급된 양의 비율을 계산식의 분모에 적용하고, 벼의 경우는 생산물의 가격 대신에 지하수가 되는 양과 하천수가 되는 양에 대한 경제적 평가에 더해 논에 많은 양의 물이 관개됨으로서 발생하는 수변 생태계에 의한 환경유지 기능과 온도와 습도가 높은 한국의 기후 특성에서 전체 에너지 밸런스를 유지하는데 기여하는 관개수의 가치에 대한 평가와 더불어 생산물의 가격을 포함하는 것이 합리적일 것이다.

• 한국환경농학회지
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• 제38권3호
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• pp.159-165
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• 2019

BACKGROUND: The water footprint (WF) is an indicator of freshwater use that appears not only at direct water use of a consumer or producer, but also at the indirect water use. As an indicator of 'water use', the water footprint includes the green, blue, and grey WF, and differs from the classical measure of 'water withdrawal' because of green and grey WF. This study was conducted to assess and estimate the water footprint of the soybean and Chinese cabbage. METHODS AND RESULTS: APEX model with weather data, soil and water quality data from NAS (National Institute of Agricultural Sciences), and farming data from RDA (Rural Development Administration) was operated for analyzing the WF of the crops. As the result of comparing the yield estimated from APEX with the yield extracted from statistic data of each county, the coefficients of determination were 0.83 for soybean and 0.97 for Chinese cabbage and p-value was statistically significant. The WFs of the soybean and Chinese cabbage at production procedure were 1,985 L/Kg and 58 L/Kg, respectively. This difference may have originated from the cultivation duration. The WF ratios of soybean were 91.1% for green WF and 8.9% for grey WF, but the WF ratios of Chinese cabbage were 41.5% for green WF and 58.5% for grey WF. CONCLUSION: These results mean that the efficiency of water use for soybean is better than that for Chinese cabbage. The results could also be useful as an information to assess environmental impact of water use and agricultural farming on soybean and Chinese cabbage.