본 연구는 임하호의 고탁수 발생에 따른 식물플랑크톤군집의 변화를 조사하기 위하여 2003년 5월부터 2004년 7월까지 댐축 지점에서 매월 채집하였다. 2003년 9월과 10월의 가장 높은 탁도(1221 NTU) 형성은 태풍(매미)에 동반된 집중 호우 시기와 일치하였다. 출현한 식물플랑크톤은 모두 102분류군이고, 이 중 규조강이 63종류로 가장 많이 출현하였으며, 녹조강이 23종류, 남조강이 9종류, 시누라조강과 은편모조강이 각각 3종류 그리고 유글레나 조강이 1종류가 출현하였다. 총 현존량은 270~4,515 indls. mL-1였고, 은편모조강의 Cryptomonas ovata, 규조강의 Cyclotella sp. 그리고 남조강의 Microcystis aeruginosa 등은 고탁수의 감소후 차례로 우점하였다.

The government has conducted a plan of total maximum daily loads(TMDL), which divides with unit watershed, for management of stable water quality target by setting the permitted total amount of the pollutant. In this study, BOD concentration trends over the last 10 years from 2005 to 2014 were analyzed in the Geumho river. Improvement effect of water quality throughout the implementation period of TMDL was evaluated using the seasonal Mann-Kendall test and a LOWESS(locally weighted scatter plot smoother) smooth. As a study result of the seasonal Mann-Kendall test and the LOWESS smooth, BOD concentration in the Geumho river appeared to have been reduced or held at a constant. As a result of quantitatively analysis for BOD concentration with exploratory data analysis(EDA), the mean and the median of BOD concentration appeared in the order of GH8 〉GH7 〉GH6 〉GH5 〉GH4 〉GH3 〉GH2 〉GH1. The monthly average concentration of BOD appeared in the order of Apr 〉Mar 〉Feb 〉May 〉Jun 〉Jul 〉Jan 〉Aug 〉Sep 〉Dec 〉Nov 〉Oct. As a result of the outlier, its value was the most frequent in February, which is estimated 1.5 times more than July, and was smallest frequent in July. The outlier in terms of water quality management is necessary in order to establish a management plan for the contaminants in watershed.

As a result of analysis based on the observed data for BOD, COD and TOC in order to manage non-biodegradable organics in the Geumho River, COD/BOD ratio was analyzed as the occupying predominance proportion. In this study, the classification(changes in water quality measurement : increase, equal, decrease) and measurement of BOD and COD were analyzed for trends over the past 10 years from 2005 to 2014 in the Geumho River. The Geumho River is expected to need non-biodegradable organics management because BOD was found to be reduced 61.1% and COD was found to be increased 50%. As a result of the analysis of land use, the Geumho-A is a unit watershed area of 921.13 km2, which is the most common area that is occupied by forests. The Geumho-B is a unit watershed area of 436.8 km2, which is the area that is highest occupied by agriculture and grass of 24.84%. The Geumho-C is a unit watershed area of 704.56 km2 accounted for 40.29% of the entire watershed, which is the area that is occupied by urban of 15.12%. Load of non-biodegradable organics, which is not easy biodegradable according to the discharge, appeared to be increased because flow coefficient of COD and TOC at the Geumho-B were estimated larger than 1 value. The management of non-point sources of agricultural land is required because the Geumho-B watershed area occupied by the high proportion of agriculture and field. In this segment it showed to increase the organics that biodegradation is difficult because the ratio of BOD and TOC was decreased rapidly from GR7 to GR8. Thus, countermeasures will be required for this.

In this study, it is an object to develop a regression model for the estimation of TOC (total organic carbon) concentration using investigated data for three years from 2010 to 2012 in the Gam Stream unit watershed, and applied in 2009 to verify the applicability of the regression model. TOC and CODMn (chemical oxygen demand) were appeared to be derived the highest correlation. TOC was significantly correlated with 5 variables including BOD (biological oxygen demand), discharge, SS (suspended solids), Chl-a (chlorophyll a) and TP (total phosphorus) of p<0.01. As a result of PCA (principal component analysis) and FA (factor analysis), COD, TOC, SS, discharge, BOD and TP have been classified as a first factor. TOCe concentration was estimated using the model developed as an independent variable BOD5 and CODMn. R squared value between TOC and measurement TOC is 0.745 and 0.822, respectively. The independent variable were added step by step while removing lower importance variable. Based on the developed optimal model, R squared value between measurement value and estimation value for TOC was 0.852. It was found that multiple independent variables might be a better the estimation of TOC concentration using the regression model equation(in a given sites).

The purpose of this study was to analyze the village groves in Pohang city by classifying them into 5 categories: sage plantation, shelter-belt plantation, shore plantation, ornamental plantation and bower plantation. The results of this study can be summarized as follows; The village groves in Pohang city consist of 16 sage plantations (128,682㎡), 14 shelter-belt plantations (807,755㎡), 17 shore plantations (447,616㎡), 10 ornamental plantations (141,276㎡) and 6 bower plantations (79,075㎡). Namely, the ratio of shore plantations is highest (n=17) in terms of number, while that of shelter-belt plantations is highest (50.3%) in terms of area. On the other hand, Pinus Thunbergii account for the absolute majority (n=55,239, 74.1%) of the trees, followed by pine trees (n=18,017, 24.2%). Both species are combined to account for 98.3% of the entire trees, which means that the plantations are simple in terms of tree species. When the village groves were compared in terms of functional age, sage plantations are oldest or aged 143 years, followed by bower plantations (aged 137), ornamental plantations (aged 118), shore plantations (aged 92) and shelter-belt plantations (aged 88).