The pollution characteristics of groundwaters in Taegu City and correlation coefficients(r) between water pollution indicators were investigated for two years from January 1996 to December 1997. Volatile organic compounds such as TCE(tri-chloroethylene), PCE(tetrachloroethylene), 1,1,1-trichloroethane, THM(trihalo-methane), dichloromethane, pesticides such as diazinon, parathion, malathion, and toxic inoganic matters such as As, Hg, Se, Pb, Cd, Cr6+ , CN were not detected in the groundwaters. Mean values of groundwater pollution indicators were below drinking-water standards, but hardness, KMnO4-C(potassium permanganate consumption), evaporate residues, SO4-2, Fe, NO3- -N, color and turbidity exceeded a little in some samples. As groundwater became deeper, hardness and evaporate residues remarkably increased, but KMnO4-C, NO3- -N, Cl-, color, turbity and bacteria decreased. KMnO4-C, evaporate residues, Cl- and SO4-2 were very high at industrial and commercial areas, and NO3- -N and NH4+-N were very high at agricultural and forest areas. It showed high positive significances in the relationships between hardness and each of evaporate residues, SO4-2, Zn and Mn, KMnO4-C and each of color, turbidity and Zn, color and each of turbidity, Cu, Zn and Mn, turbidity and each of Fe, Cu, Zn and Mn, and evaporate residues and each of Cl-, SO4-2 and Zn.

지하수 수질 감시를 위한 관측망의 설치는 지하수자원의 보호를 위해 매우 중요하다. 그러나 현재 지하수 수질 관측망의 설계는 합리적인 방법보다는 현장전문가의 경험과 직관에 의존하는 경우가 많다. 본 논문에서는 3차원 수질모의와 최적화를 이용하는 지하수질 관측망의 설계방법론을 제안하였다. 설계과정은 다음의 세 가지 경우로 정형화되었다. (Ⅰ) 평균농도를 감시하는 위치를 선정하되 관측정의 수기 제한되는 경우, (2) 최대농도를 감시하는 위치를 선정하되 관측정

The analysis of groundwater quality in Kyungnam Province was conducted using monitoring results obtained during 1994. According to the analysis, most heavy metals and pesticides listed in Korean drinking water standards were not detected in Kyungnam Province groundwater, but arsenic and volatile organics such as TCE and PCE were detected. Four inorganic contaminants were detected and frequency of violating the standards was in order of NO_3-N, F^+, As, NH_3-N. Of organics, TCE and PCE were the only contaminants detected. TCE more frequently violated the standards than PCE. Correlation was investigated among contaminants detected in Kyungnam Province groundwater. The correlation results showed that high correlation existed among dissolved solids, hardness, and SO_4^2-.

지하수질 감시를 위한 관측은 지하수를 사용하는 주변 인구의 보건은 물론이고 궁극적으로는 지하수자원 보전이라는 측면에서 매우 중요하다. 그러나 지하수 수질관측망은 설계부터 운영에 이르기까지 임의적이고, 체계적이기보다는 경험에 의존하거나 과학적이지 못한 방식으로 시행되고 있는 것이 사실이다. 본 연구는 지하수질 관측망의 효율적 배치를 위한 방법론의 현장적용성을 검토하기 위하여 대표적인 설계방법론을 대상으로 비교연구 하였다. 그 결과, 지하수질 관측망의 설계

To examine water pollution status of agricultural water source of greenhouse area in Gyeongnam, the ground water quality was investigated six times at five areas in Gyeongnam from October in 1995 to March in 1996. pH of ground water were generally in the range of 5.9∼7.6. But a site in Changnyeong area was out of the range in 6.0∼8.5 which is water quality standard for agriculture. COD of ground water was below 8.0㎎/ℓ which is water quality standard for agriculture in all areas and the average was below 2.8㎎/ℓ. NH_4^+ -N contents in ground water was very low in all areas and the average of NO_3^- -N contents in Changnyeong and Chinju area was high with 13.2 and 11.5㎎/ℓ, respectively. Hardness, SO_4^2- and EC of ground water in Haman were higher than any other area. Fe and Mn contents of ground water in Kimhae were higher than any other area with 7.17 and 0. 95㎎/ℓ, respectively. Heavy metals such as Cu, Cd, Pb and Zn of ground water were below water quality standard for agriculture but some sites were over. Between COD and SS in ground water were not correlated with r=0.328, but between COD and NH_4^+ -N were positively correlated. And EC was positively correlated with Ca^2+, Mg^2+ and SO_4^2-. Ground water pollution status of agricultural water source of greenhouse area in Gyeongnam was generally high in order of Sacheon < Chinju < Haman < Kimhae < Changnyeong.

One hundred and thirty two ground water samples from the Ulsan area were divided into urban and non-urban groupings and were assessed between 1993 and 1996. The results of statistical analysis were as follows: There were significant differences between the two groupings in the average value of the following water quality parameters: total hardness, nitrate, pH, iron, ammonia and chloride ion in the order of Z-score. Because total hardness, nitrate, and pH were also significant in ANOVA test, these three parameters can be regarded as the most sensitive parameters of artificial pollutants. By the comprehensive comparison of Ulsan water quality to that of Kangwon-do, all of the major parameters(pH, KMnO_4 consumption, sulfate, chloride and hardness except nitrate) were confirmed as being significantly increased levels.

In order to provide for the guidance on groundwater quality monitoring network design and also, to suggest the index to the solution of the contaminated groundwater remediation problems in the lake watershed, it is necessary to analyze the contaminant transport in the groundwater. The solute transport was analyzed in the lake watershed to investigate the behavior of the injected contaminant sources depend on the relationships between the point of contaminant sources and position of the lake. Three hypothetical groundwater flow systems, which is composed of a flow-through lake and two solute sources, were considered. The lakes located in the upper, middle, and lower portions of a watershed respectively. The transported contaminant was numerically simulated for five years by using MT3D contaminant transport model under the three-dimentional steady state conditions. From the above simulations, it can be concluded that the contaminant concentration was high as the contaminant source located at the upper position of a watershed, and the influence of the contaminant injection was large as the solute source located at the lower position. When the injection of contaminant was continued for one year without regard to the position of contaminant source and the lake, the influence of contaminant source was reached to bedrock.