• 제목/요약/키워드: water requirement model

검색결과 106건 처리시간 0.023초

토양수분모형을 이용한 미래 주요 밭작물 소비수량 및 관개용수량 전망 (Projection of Consumptive Use and Irrigation Water for Major Upland Crops using Soil Moisture Model under Climate Change)

  • 남원호;홍은미;장민원;최진용
    • 한국농공학회논문집
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    • 제56권5호
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    • pp.77-87
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    • 2014
  • The impacts of climate change on upland crops is great significance for water resource planning, estimating crop water demand and irrigation scheduling. The objective of this study is to predict upland crop evapotranspiration, effective rainfall and net irrigation requirement for upland under climate change, and changes in the temporal trends in South Korea. The changes in consumptive use and net irrigation requirement in the six upland crops, such as Soybeans, Maize, Potatoes, Red Peppers, Chinese Cabbage (spring and fall) were determined based on the soil moisture model using historical meteorological data and climate change data from the representative concentration pathway (RCP) scenarios. The results of this study showed that the average annual upland crop evapotranspiration and net irrigation requirement during the growing period for upland crops would increase persistently in the future, and were projected to increase more in RCP 8.5 than those in RCP 4.5 scenario, while effective rainfall decreased. This study is significant, as it provides baseline information on future plan of water resources management for upland crops related to climate variability and change.

저수지 관리 관행을 반영한 농업용 저수지 저수율 추정 (Estimation of Agricultural Reservoir Water Storage Based on Empirical Method)

  • 강한솔;안현욱;남원호;이광야
    • 한국농공학회논문집
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    • 제61권5호
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    • pp.1-10
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    • 2019
  • Due to the climate change the drought had been occurring more frequently in recent two decades as compared to the previous years. The change in the pattern and frequency of the rainfall have a direct effect on the farming sector; therefore, the quantitative estimation of water supply is necessary for efficient agricultural water reservoir management. In past researches, there had been several studies conducted in estimation and evaluation of water supply based on the irrigational water requirement. However, some researches had shown significant differences between the theoretical and observed data based on this requirement. Thus, this study aims to propose an approach in estimating reservoir rate based on empirical method that utilized observed reservoir rate data. The result of these two methods in comparison with the previous one is seen to be more fitted for both R2 and RMSE with the observed reservoir rate. Among these procedures, the method that considers the drought year data shows more fitted outcomes. In addition, this new method was verified using 15-year (2002 to 2006) linear regression equation and then compare the preceeding 3-year (1999 to 2001) data to the theoretical method. The result using linear regression equation is also perceived to be more closely fitted to the observed reservoir rate data than the one based on theoretical irrigation water requirement. The new method developed in this research can therefore be used to provide more suitable supply data, and can contribute to effectively managing the reservoir operation in the country.

한강수계의 농업용수 공급량 조사방법의 개발 (Methodology for Estimating Agricultural Water Supply in the Han River Basin)

  • 임상준;박승우;김현준
    • 한국수자원학회논문집
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    • 제33권6호
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    • pp.765-774
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    • 2000
  • 본 연구는 수계규모에서 과거의 수원공 운영자료를 이용하여 농업용 저수지, 취입보 및 관정 등으로부터 논 관개지구에 공급된 농업용수 공급량의 조사방법을 개발하는 데 그 목적이 있다. 농업용 저수지에 의해 공급된 관개량은 일별 혹은 순별 저수율 자료와 DIROM 모형을 이용하여 추정하였으며, 일별 양수량은 연간 총양수량으로부터 일별 양수패턴을 적용하여 산정하였다. 관정에 의해 취수된 일별 공급량은 논벼의 조용수량과 관정의 설계유량을 고려하여 계산하였으며, 취입보의 일별 공급량은 관개지구의 조용수량, 하천 유량 및 설계취수량 중에서 최소 유량으로부터 구하였다. 1993~1997년의 조사 기간동안에 한강수계에서 공급된 농업용수는 $569백만\;\textrm{m}^3/년부터\;709백만\;\textrm{m}^3/년$의 범위를 보였으며, 5개년 평균 공급량은 $640백만\;\textrm{m}^3/년$이었다.

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Reassessment on SEBAL Algorithm and MODIS Products

  • 오랑치맥 솜야;권현한;김현묵;김윤희
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2016년도 학술발표회
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    • pp.230-230
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    • 2016
  • Hydrological modeling is a very complex task dealing with multi-source of data, but it can be potentially benefited from recent improvements and developments in remote sensing. The estimation of actual land surface evapotranspiration (ET), an important variable in water management, has become possible based entirely on satellite data. This study adopted a Surface Energy Balance Algorithm for Land (SEBAL) with the use of MODerate Resolution Imaging Spectrometer (MODIS) satellite products. The SEBAL model is one of the commonly used approach for the ET estimation. A primary advantage of the SEBAL model is rather its minimum requirement for ground-based weather data. The MODIS provides ET (MOD16) product that is based on the Penman-Monteith equation. This study aims to further develop the SEBAL model by employing a more rigorous parameterization scheme including the estimation of uncertainty associated with parameter and model selection in regression model. Finally, the proposed model is compared with the existing approaches and comprehensive discussion is then provided.

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기상예보를 고려한 관개용 저수지의 최적 조작 모형(II) -모형의 구성- (Optimal Reservoir Operation Models for Paddy Rice Irrigation with Weather Forecasts (II) -Model Development-)

  • 김병진;박승우
    • 한국농공학회지
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    • 제36권2호
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    • pp.44-55
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    • 1994
  • This paper describes the development of real-time irrigation reservoir operation models that adequately allocate available water resources for paddy rice irrigation. Water requirement deficiency index(WRDI) was proposed as a guide to evaluate the operational performance of release schemes by comparing accumulated differences between daily release requirements for irrigated areas and actual release amounts. Seven reservoir release rules were developed, which are constant release rate method (CRR), mean storage curve method(MSC), frequency analysis method of reservoir storage rate(FAS), storage requirement curve method(SRC), constant optimal storage rate method (COS), ten-day optimal storage rate method(TOS), and release optimization method(ROM). Long-term forecasting reservoir operation model(LFROM) was formulated to find an optimal release scheme which minimizes WRDIs with long-term weather generation. Rainfall sequences, rainfall amount, and evaporation amount throughout the growing season were to be forecasted and the results used as an input for the model. And short-term forecasting reservoir operation model(SFROM) was developed to find an optimal release scheme which minimizes WRDIs with short-term weather forecasts. The model uses rainfall sequences forecasted by the weather service, and uses rainfall and evaporation amounts generated according to rainfall sequences.

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저수지 가뭄지수를 활용한 농업가뭄 위험도 평가 (Agricultural Drought Risk Assessment using Reservoir Drought Index)

  • 남원호;최진용;장민원;홍은미
    • 한국농공학회논문집
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    • 제55권3호
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    • pp.41-49
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    • 2013
  • Drought risk assessment is usually performed qualitatively and quantitatively depending on the definition a drought. The meteorological drought indices have a limit of not being able to consider the hydrological components such as evapotranspiration, soil moisture and runoff, because it does not consider the water demand in paddies and water supply in reservoirs. Agricultural drought was defined as the reservoir storage shortage state that cannot satisfy water requirement from the paddy fields. The objectives of this study were to suggest improved agricultural drought risk assessment in order to evaluate of regional drought vulnerability and severity studied by using Reservoir Drought Index (RDI). The RDI is designed to simulate daily water balance between available water from agricultural reservoir and water requirement in paddies and is calculated with a frequency analysis of monthly water deficit based on water demand and water supply condition. The results indicated that RDI can be used to assess regional drought risk in agricultural perspective by comparing with the historical records of drought in 2012. It can be concluded that the RDI obtained good performance to reflect the historical drought events for both spatially and temporally. In addition, RDI is expected to contribute to determine the exact situation on the current drought condition for evaluating regional drought risk and to assist the effective drought-related decision making.

갈신양수장 관개지구의 관개효율과 관개패턴분석 (Analysis of Irrigation Efficiency and Pattern in Galshin Pumping District)

  • 류범희;박승기
    • 농촌계획
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    • 제26권3호
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    • pp.91-102
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    • 2020
  • The purpose of study was analyze the pumping characteristics, Irrigation Efficiency(IE), and irrigation pattern by period of rice growing stage with based on the performance of design irrigation water requirement and operational Galshin Pumping(GP) station in GP irrigation district constructed under rural water development project master plan. GP station was located in Yedang reservoir, Yesan-gun, Chungcheongnam-do and has been supplying irrigation water since 2006. The research data are the Irrigation Water Requirement(IWR) and the Pumping Water Amount(PWA) from 2006 to 2015 at the GP station, which is the supplied amount. The IWR were calculated using the Blaney-Criddle formula of the HOMWRS program, Hydrological Operation Model for Water Resource System, developed by Korea Rural Community Corporation. The Blaney-Criddle formula was used to calculate design irrigation water requirement of Galshin rural water development project master plan. During 2006-2015, the study period, the annual average IWR is 763.2(±149.1)mm, the annual PWA of the GP station is 397.4mm to 1,056.9mm, and those average annual PWA is 643.4(±208.4)mm. The annual IE of GP station 96.5% to 169.0%, and the average annual IE is 124.3%, which is higher than the research results conducted in other pumping stations. Analyzing the irrigation patterns of the GP irrigation district, the IWR Ratio per 10days(IWRR) and the PWA Ratio per 10days(PWAR) of the G P station were obtained. The IWRR is the percentage of IWR for each 10 days of a month to total IWR per year, and the PWAR is the percentage of PWA for each 10 days of a month to total PWA per year. The Kolmogorov- Smirnov(K-S) test results of IWRR and PWAR showed the characteristics classification by rice growing stage and stable normal distribution characteristics. Average IWRR(AIWRR) and Average PWAR(APWAR) are presented as irrigation patterns. Irrigation pattern analysis will be able to standardize comparison, analysis and probability calculation of the pumping station characteristics of different pumping stations and apply to objective evaluation of the pumping station district.

물관리자동화시스템의 발전방향 (A New Directionin the Advance of TM/TC System)

  • 고광돈;여운식
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
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    • pp.99-104
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    • 1999
  • In 2000 FFIA , FIA, RDC are united into new corporation. This corporation will manage rural water with TM/TC(Tele-Monitoring/Tele-Control) system. Most systems which were adopted in TM/TC system were Closed Control System which use exclusive network and protocol . Closed Control System can not support new corporation's requirement in water management system. Therefore, new corporation should adopt Open Control System as standard rural water management system. Open Control System support Fieldbus technology, TCP/IP various protocols, programming model, OPC which is essential to the water management program, and so on.

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고도정수처리에 따른 상수도 공급과정에서의 소독부산물 농도 예측모델 개발 (Development of a Concentration Prediction Model for Disinfection By-product according to Introduce the Advanced Water Treatment Process in Water Supply Network)

  • 서지원;김기범;김기범;구자용
    • 상하수도학회지
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    • 제31권5호
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    • pp.421-430
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    • 2017
  • In this study, a model was developed to predict for Disinfection By-Products (DBPs) generated in water supply networks and consumer premises, before and after the introduction of advanced water purification facilities. Based on two-way ANOVA, which was carried out to statistically verify the water quality difference in the water supply network according to introduce the advanced water treatment process. The water quality before and after advanced water purification was shown to have a statistically significant difference. A multiple regression model was developed to predict the concentration of DBPs in consumer premises before and after the introduction of advanced water purification facilities. The prediction model developed for the concentration of DBPs accurately simulated the actual measurements, as its coefficients of correlation with the actual measurements were all 0.88 or higher. In addition, the prediction for the period not used in the model development to verify the developed model also showed coefficients of correlation with the actual measurements of 0.96 or higher. As the prediction model developed in this study has an advantage in that the variables that compose the model are relatively simple when compared with those of models developed in previous studies, it is considered highly usable for further study and field application. The methodology proposed in this study and the study findings can be used to meet the level of consumer requirement related to DBPs and to analyze and set the service level when establishing a master plan for development of water supply, and a water supply facility asset management plan.

단일저수지 농업가뭄평가모형의 개발 (Development of A Single Reservoir Agricultural Drought Evaluation Model for Paddy)

  • 정하우;최진용;박기욱;배승종;장민원
    • 한국농공학회논문집
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    • 제46권3호
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    • pp.17-30
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    • 2004
  • This study aimed to develop an agricultural drought assessment methodology for irrigated paddy field districts from a single reservoir. Agricultural drought was defined as the reservoir storage shortage state that cannot satisfy water requirement from the paddy fields. The suggested model, SRADEMP (a Single Reservoir Agricultural Drought Evaluation Model for Paddy), was composed of 4 submodels: PWBM (Paddy Water Balance Model), RWBM (Reservoir Water Balance Model), FA (Frequency and probability Analysis model), and DCI (Drought Classification and Indexing model). Two indices, PDF (Paddy Drought Frequency) and PDI (Paddy Drought Index) were also introduced to classify agricultural drought severity Both values were divided into 4 steps, i.e. normal, moderate drought, severe drought, and extreme drought. Each step of PDI was ranged from +4.2 to -1.39, from -1.39 to -3.33, from -3.33 to -4.0 and less than -4.0, respectively. SRADEMP was applied to Jangheung reservoir irrigation district, and the results showed good relationships between simulated results and the observed data including historical drought records showing that SRADEMP explains better the drought conditions in irrigated paddy districts than PDSI.