• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.815-815
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• 2012

우리나라의 경우 1조원 이상 피해를 입힌 자연재해가 '98년 이후 집중적으로 발생하는 등 최근 급격한 도시화 산업화 및 범지구적인 이상기후 현상으로 자연재해로 인한 피해가 점차 대형화 다양화되는 추세이다. 그에 따른 국내 재해관리 및 사전예방의 중요성은 그 동안 여러 차례 기획사업 및 재정계획을 통해 제시된 바 있으나, 대부분 추진계획 수립에 그치고 실질적인 예산 편성시에는 충분히 반연되지 못한 실정이다. 따라서 본 연구에서는 우리나라의 재해예방투자사업의 규모와 구체적 계획에 대하여 살펴보고자 한다. 재해사전예방 분야의 기존 투자계획으로는 "제1차 국가안전관리 5개년 기본계획"과 "2005-2009 국가재정운용계획", "수해방지대책 백서" 등이 있었으며 그 중 "제1차 국가안전관리 5개년 기본계획"은 정부역사상 처음으로 시행하는 중 장기 국가재난관리정책으로, 풍수해대책, 설해대책 등의 자연재해를 비롯하여 총 17개의 재난유형별 재난관리대책을 포괄하고 있으며, 11개 부처 및 시도에 대해 27개 사업, 36조 8천억원을 투자하는 계획을 제시하였다. 가장 최근에는 2010년 8월에 국무총리실 주도 재난관리 개선 민관합동 TF팀을 구성하여 기후변화 및 기상이변에 선제적 대응 및 기존 방재체계에 대한 근본 패러다임 전환을 통한 선진적 방재시스템 구축을 추진하기 위하여 기후변화대응 재난관리 개선 종합대책을 마련하였다. 일선 경험이 많은 민간전문가 주도로 철저히 현장 중심의 문제점과 대안을 검토하고 대책을 준비함으로서 기존의 재난관리대책 구축방법과 차별성을 띄었다고 할 수 있다. 이번 재난관리 개선 종합대책에서는 5개 시 도의 현장조사와 기존대책을 분석하고, 전문가 의견 등을 검토하여 도시유역종합치수계획, 소하천 및 사방댐 정비, 소규모 시설 정비 등 26건을 포함한 '99년부터 3회에 걸쳐 추진한 재해관련 범정부 종합대책을 검토하여 필요성이 있으나 추진이 미흡했던 과제는 포함시켰다. 또한 기후변화 대응에 필요한 신규과제 및 재해취약요인이 드러난 도시방재를 위한 개선과제를 집중 검토하도록 하였다. 다수부처 관련 쟁점과제에 대해서는 주관부처를 정하거나 민간 전문가가 참여하는 조정회의 및 세미나, 공청회를 통해 보완 검토하였다. 그 결과로서 2011년 전년대비 재해예방 관련 사업에 대한 국고 투자규모는 도시침수방지 17%, 수자원 관리 25%, 항만 정비 17%, 산사태 예방 24%, 농업기반시설 정비 20%, 위험지 정비 19%, 재난 예측 및 대응시스템 개선 16% 증가하여 투자계획이 수립되었으며 전체적으로는 약 21% 증가된 투자계획이 수립되었다.

• Journal of Korean Society on Water Environment
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• v.23 no.2
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• pp.260-265
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• 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.

• Korean Journal of Environmental Agriculture
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• v.27 no.1
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• pp.35-43
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• 2008

The study was carried out to estimate runoff loads of heavy metals in the valley watershed at the middle of South Korea, during farming season. There were no other pollution sources except agricultural activity. From 27 April 2006 to 31 October 2007, water samples were collected using two methods. The first method was regular sampling wherein water samples were taken every two weeks; and the other method was through regular sampling when water were collected during each rainfall event. Results showed that heavy metals were found in the water from the regular samples, and were highest during May and June. It was presumed that this might have been contributed by farming activities. Heavy metal concentration of the irregular samples was lower than regular samples. The correlation coefficient between each heavy metal of the regular samples were as follows: Fe-Al>Cr-Al>Fe-Cr>Mn-Fe. The correlation coefficient of the irregular samples were the following: Fe-Al>Fe-Cu is positive; and Pb-Cu>Ni-Al is negative. Measured pollutant loads of heavy metals in the valley watershed were : 2.047 kg $day^{-1}$ of Al, 0.008 kg $day^{-1}$ of Cd, 0.034 kg $day^{-1}$ of Cr, 0.311 kg $day^{-1}$ of Cu, 0.601 kg $day^{-1}$ of Fe, and 0.282 kg $day^{-1}$ of Zn in 2006; while in 2007, the following were observed: 2.535 kg $day^{-1}$ of Al, 0.026 kg $day^{-1}$ of Cd, 0.055 kg $day^{-1}$ of Cu, 0.727 kg $day^{-1}$ of Fe, and 0.317 kg $day^{-1}$ of Zn. In the analysis of data gathered, the loading rates of effluents from the valley watershed during the rainy season were : 79.8% of Al, 69.1% of Cu, 82.5% of Fe, and 69.1% of Zn in 2006; while 69.9% of Al, 67.5% of Cu, 70.4% of Fe, and 67.5% of Zn in 2007.

• Korean Journal of Soil Science and Fertilizer
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• v.18 no.3
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• pp.265-275
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• 1985

Present studies were carried out to investigate the distribution and formation of organic tiers contained paddy soils in Honam area characteristics to give basic informations on the effective utilization, management and improvement of the soils. The results obtained were summarized as follows; 1. The extent of organic tiers contained paddy soils in Honam area were 6.538㏊ and the amount of peat deposits were presumed about 2.41 million M/T. 2. Out of the total extent of the organic tiers contained paddy soils, about 97.6% was distributed in Honam plains (water-sheds of Mangyeong-Dongjin river), while about 1.5% in the Naju plains (water-sheds of Yeongsan river), and 0.9% in the Wando and Yeocheon areas. 3. The period of peat formation was presumed to be about the early of Seung Moon period (B.C. 4,250), and the Gongdeog series and the Bongnam series were formed in the bog conditions close to the valley mouth of near rolling and hill with small steram channels, and the Gimje series was formed in the out-skirts plains of the Gongdeog and Bongnam soils. 4. In the casue of peat formation, it was presumed to be the Gimje series that accumulated the fibrous peat out of the autochthonous peat such as reeds and grasses etc, to be the Gongdeog and Bongnam series that accumulated the autochtonous peat and the xylem and fibrous peat out of first allochthonous peat. 5. In the Organic horizons of these soils, the range of muck and peat horizons were in 62-68cm and 68-137cm of soil profile in the Gongdeog series, 52-84cm and 84-113cm in the Bongnam series respectively, one of muck horizon was in 46-71cm in the Gimje series. 6. The marks of soil horizons of the soils were expressed that the lower soils than the horizon of muck and peat were formed Cg, Aag for the muck horizon, 0 for the peat horizon, 0 of peat horizon were distingushed with Oag and Oig according to Organic forms. 7. The depthe occurred the muck and peat horizons were positively correlated with the width of local in the Gongdeog series ($r=0.881^{**}$, $r=0.827^{**}$), but not in the Bongnam series and Gimje series.