최근 수자원 분야에서는 미래의 기후변화 및 용수이용 증대에 따른 안정적인 물공급이 중요한 관심사이다. 특히 한강수계의 경우, 수도권의 취수원인 팔당호 상류유역의 약 10 %에 해당하는 유역의 수자원량이 북한의 임남댐(저수용량 27억) 건설로 인하여 동해안으로 유역변경되고 있는 실정이다. 따라서, 북한강 수계의 하천유량이 감소되었으나, 그에 대한 정량적인 평가는 구체적으로 이루어지지 못하고 있다. 본 연구에서는 물리적 기반의 장기유출해석모형인 SWAT-K
본 연구의 목적은 HSPF 모형과 Landsat 영상을 이용하여 토지피복 변화에 따른 유출의 변화를 분석하는 것이다. 토지피복도는 경안수위관측소 상류유역()에 대하여 10년 단위로 3개의 토지피복도(1980, 1990, 2000)를 준비하였다. HSPF의 수문학적 인자들의 보정에는 1999년부터 2000년의 경안수위관측소의 자료를 사용하였고, 검증에는 2001년과 2003년의 자료를 사용하였다. 토지피복도를 입력자료로 한 유출변화의 모의 결과, 20년
This study was to evaluate the impact of river runoff and salt intrusion by tide on nutrient balance of estuary during a complete tidal cycle. 24 hours time series survey was carried out during a spring tide July 2001 on a tidal estuary in the Keum river. Three stations(A,B,C) were set along a transect line of about 10km, which linked the lower part of estuary dyke to the subtidal zone. Surface water was sampled simultaneously at each station every hours for the determination of nutrients. Water temperature, pH and dissolved oxygen were measured in situ. Riverine input of silicate and nitrate during ebb tide significantly increased the concentration of all stations. Conversely, during high tide, nutrient concentration were lowered by the mixing of fresh water with sea water. Ammonium nitrogen concentration were higher at intertidal zone(Stn.B) due to sewage inflow to Kyeongpo stream and ammonium release under anaerobic conditions. Also, these results was discussed as a biological component that influences the processes of nutrient regeneration within the estuary. Best correlations were found at lower part of estuary dyke(Stn.A) for salinity against DIN(Y=0.121 Sal.+4.97, r2=0.956) and silicate(Y=0.040 Sal.+2.62, r2=0.785). But no significant correlation was found between salinity and ammonium. Unbalanced elemental ratio(N/P, Si/N and Si/P) depended significantly on the import of nutrients (silicate & nitrate nitrogen) from river and stream. The effect of the tidal cycle and river runoff is important that in determining the extend of the variations in nutrient concentrations at all station.