The purpose of this study is to develop the automatic water wank for rural living water with a built-in filter device. For this purpose, the author carrying out the design and production of devices such as a stacked plate filter, automatic water tank and water purification equipment, main control system and solenoid valve, solar cell, battery, water gauge, flowmeter and pump, etc. As a result, the author obtained very good results which satisfy all the research and development objectives planned. In addition, the water quality test results received, it is determined that the water is suitable for rural living water standards of the developed prototype.

This study is carried out in order to propose a drought risk assessment methodology. This methodology is required to deal with practical questions that a variety of stakeholder often raise in the course of discussions on mitigation measures. With a focus on the socioeconomic aspect of drought, more particularly, residents’ hardship from water scarcity, it suggests basic concepts and a system of methods in order to assess hazard, exposure, vulnerability and risk. The case study shows a considerable possibility of the methodology in evaluating potential levels of damages in a certain area, in identifying the boundary of districts where risk is disproportionately concentrated, and also in understanding the underlying risk factors of those districts. The authors think that the proposed methodology is able to offer risk information in terms of socioeconomic damages, and therefore contribute to reducing information gaps that policy-makers are currently encountered with.

Existing agricultural reservoirs are considered as alternative source for the water welfare of rural area. In this study, domestic water supply potential of 476 reservoirs, which has storage capacity more than one million cubic meter, out of 3,377 agricultural reservoirs managed by Korean Rural Community Corporation (KRC) were investigated. Among them water quality of 136 reservoirs met the criteria of domestic water source which show less than COD 3 ppm. Available amount for domestic water of reservoirs, which meet the water quality, for ten year return period of drought was analyzed with reservoir water balance model. The results showed that 116 reservoirs has potential for supplementary domestic water supply while satisfying irrigation water supply. Finally, economic analysis using Net Present Value (NPV), Benefit–Cost (B/C) ratio, Internal Rate of Return (IRR), and Profitability Index (PI) methods was also conducted. The analysis showed that 19 reservoirs satisfied economic feasibility when water is provided from reservoir outlet but only 9 reservoirs meet the economic feasibility if water delivered from a reservoir to treatment plant by newly built conveyance canal. In order to supply the domestic water through the agricultural reservoirs managed by KRC, it is necessary to flexibly interpret and operate the ‘Rearrangement of Agricultural and Fishing village Act’. Also, it is reasonable to participate in the water service business when there is a supply request from other Ministries. In addition, the KRC requires further effort to change the crop system for saving water and improve efficiency of irrigation systems.

국민들의 삶의 질과 직접적으로 연관되어 있는 생활용수의 수요 관리 및 공급을 위한 적절한 투자 등 합리적인 정책을 수립, 시행하기 위해서는 생활용수의 경제적 가치에 관한 정확하고 객관적인 정보가 필요하다. 본 연구에서는 수요함수 접근법을 이용하여 16개 시도의 생활용수의 소비자 잉여 및 경제적 가치를 추정하였다. 분석결과, 2009년 전국의 생활용수의 당 소비자 잉여와 경제적 가치는 각각 1,180.7원과 1,812.8원으로 추정되었으며 시도별 1,08

경제이론에 의하면 소비자들은 언제나 효용을 극대화하기 위한 선택에 직면한다. 이 같은 소비자의 선택은 생활용수의 가격, 공급 및 수요 등에 정보가 시장을 통해 나타나고 정책결정자들은 이를 정책 지표로 이용하게 된다. 그러나 수자원의 경우는 시장이 형성되어 있지 않기 때문에 시장에서의 그 같은 정보 획득이 제한적이다. 본 연구는 생활용수의 수질개선에 따른 소비자 지불의사를 1,000 가구를 대상으로 조사하고 이를 추정하였다. 또한 생활용수에 대한 소비행태

This study was performed to improve water demand estimation and analize correlation between generation of domestic sewage and domestic water use. To improve the prediction of water demand estimation, new water demand equation was developed. The results is as follows. InQt = β0 + β₁InPt + β₂InYt + β₃InHt + εt By using the statistical analysis of the "generation of domestic sewage" and "domestic water use", the regression equation between them is formed. The result is as follows. ＿ Generation of domestic sewage = 0.8487 × Domestic water use + 684.57 (R² = 0.972)