Shallow groundwater in rural areas is primarily polluted by agricultural activities. Nitrate-nitrogen is an indicator of artificial pollution. In this study, the hydrochemical characteristics and nitrate-nitrogen pollution of shallow groundwater were examined in two agricultural villages (Hyogyo-ri and Sinan-ri) in Chungcheongnam-do Province, Korea. Physicochemical quality analysis of shallow groundwater and stream water in the field, and chemical analysis in the laboratory were conducted from July 2020 to October 2021. In Hygyo-ri and Sinan-ri villages, shallow groundwater mainly b elonged t o the C a-Cl, Ca-H CO3, Na-HCO3, and Na-Cl types, whereas stream water predominantly belonged to the Ca-HCO3 type. The nitrate-nitrogen concentration in shallow groundwater varied depending on the season, displaying an increased concentration of nitrate-nitrogen in the dry season compared to the rainy season. Stream water may be influenced by runoff into villages from the surrounding area, although both shallow groundwater and stream water are affected by artificial pollution. In addition, the nitrate-nitrogen concentration in stream water was lower than that in shallow groundwater.

농촌지역에서는 농업활동의 영향에 의한 질산성질소 오염이 천부지하수를 생활용수나 먹는물로 사용하는데 큰 장애요인이 되고 있다. 본 연구에서는 충남 예산군 효교리 농업지역의 천부지하수의 수질특성을 토지용도 및 토양층의 화학성분과 연계하여 고찰하였다. 지하수의 NO3-N 평균 농도는 생활용수와 농업용수 수질 기준을 초과하며, 이는 비료, 축산폐수, 생활하수 등의 인위적인 오염원으로부터 유래하는 것으로 판단된다. 연구지역 지하수 수질형은 주로 Ca(Na)-Cl형에 속하는 것으로 나타나며, 일반적인 천부지하수의 수질형인 Ca-HCO3형과는 다르다. 논 및 기타(상류, 목장, 주거) 지역과 밭 지역으로 구분하여 지하수의 NO3-N 농도를 비교한 결과, 밭 지역의 NO3-N의 평균 농도는 22.8 mg L−1이고, 논 및 기타 지역의 NO3-N 평균 농도는 7.7 mg L−1로서 밭 지역의 NO3-N의 평균 농도가 높게 나타난다. 이는 논지역이 낮은 투수성을 가지고, 밭지역은 높은 투수성을 가지기 때문이다. Mann-Kendall 검정과 Sen 검정에 의한 경향성 분석 에 의하면, NO3-N 농도는 매년 0.011 mg/L 정도로 매우 약한 감소 추세를 보여주고 있으며, 이는 현재 지하수내 NO3-N 농도가 거의 평형상태에 있음을 지시한다. 한편 SO4 2− 농도는 매년 −15.48% 씩 감소하며, HCO3 − 농도는 매년 −13.75% 씩 감소하는 것으로 나타났다. 입도분석에 의한 수리전도도는 지표하 5 m까지의 심도에서 평균 1.86×10−5 cm s−1을 보이며, 모래층에서는 1.03×10−4 cm s−1을 그리고 실트층에서는 2.50×10−8 cm s−1을 보인다.

In this study, the necessity for a village unit Automatic Weather System (AWS) was suggested to obtain correct agricultural weather information by comparing the data of AWS of the weather station with the data of AWS installed in agricultural villages 7 km away. The comparison sites are Hyogyo-ri and Hongseong weather station. The seasonal and monthly averaged and cumulative values of data were calculated and compared. The annual time series and correlation was analyzed to determine the tendency of variation in AWS data. The average values of temperature, relative humidity and wind speed were not much different in comparison with each season. The difference in precipitation was ranged from 13.2 to 91.1 mm. The difference in monthly precipitation ranged from 1.2 to 75.4 mm. The correlation coefficient between temperature, humidity and wind speed was ranged from 0.81 to 0.99 and it of temperature was the highest. The correlation coefficient of precipitation was 0.63 and the lowest among the observed elements. Through this study, precipitation at the weather station and village unit area showed the low correlation and the difference for a quantitative comparison, while the elements excluding precipitation showed the high correlation and the similar annual variation pattern.