• Title/Summary/Keyword: Irrigation water requirement

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Analysis of Channel Water Loss of the Agricultural Water Supply in a Gyeongcheon Drought Area (경천가뭄지역 농업용수 공급량의 수로손실 분석)

  • Cho, Gun Ho;Moon, Jin Kyoung;Choi, Kyung Sook
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.2
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    • pp.53-62
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    • 2020
  • The purpose of this study is to estimate the channel water loss of agricultural water supply in the command areas belong to Yechon irrigation channel of Gyeongcheon reservoir located Mungyeong-si, which area experienced a severe drought in 2015. The channel water loss was estimated by comparison of the irrigation water requirements (IWR) and agricultural water supply of the field data from 2012 to 2015. Further analysis was conducted to define the conveyance loss estimated based on the leakage holes and illegal pumping spots investigated through the field survey, and the distribution loss obtained by subtracting conveyance loss from the channel water loss. The annual rainfall decreased gradually, but the contribution of effective rainfall, available rain water to crop, increased to IWR during the study period. These phenomena resulted in the increase of agricultural water supply, and hence made greater the channel water loss simultaneously. The average channel water losses estimated as 36.8 % with 7.1 % of the conveyance loss and 29.7 % of distribution loss respectively. The distribution loss seems to be related to total number of rainy days, and irrigation schedules, while the conveyance loss was caused by irrigation channel aging conditions and illegal intake problems. In order to achieve sustainable agricultural water resources, the channel water loss needs to be reduced through the restoration of aged irrigation facilities and effective water managements in the fields.

Analysis of the Characteristics of Nutrients Loading and the Water Purification Function in the Paddy-fields (논의 영양물질 배출부하 특성과 수질정화 기능 분석)

  • Kim Hyoon Soo;Kim Jin Soo;Kim Young Il;Cheong Byeong Ho
    • KCID journal
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    • v.11 no.1
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    • pp.36-44
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    • 2004
  • The objective of this study is to analyze the characteristics of the nutrients loading and the water purification function in the paddy-fields. This study was carried out based on the research data in the three case studies. 1. Irrigation requirement is m

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Simulation of Optimum Irrigation Water of Upland Crops by Evapotranspiration Calculation Methods (증발산량 산정기법에 따른 밭작물의 적정 관개량 모의)

  • Kim, Sun-Joo;Lee, Joo-Yong;Kim, Phil-Shik
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2003.10a
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    • pp.271-274
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    • 2003
  • The objectives of this study are for finding an optimal calculation method comparing observed evapotranspiration with calculated evapotranspiration by Blaney-Criddle, Penman and Penman-Monteith method which are used in many place of Korea. And after appling optimal calculation method, optimal irrigation is presented through calculation of effective rainfall and requirement water considering characteristics of region, crop and soil.

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Surface Drainage Simulation Model for Irrigation Districts Composed of Paddy and Protected Cultivation (복합영농 관개지구의 배수량 모의 모형의 개발)

  • Song, Jung-Hun;Kang, Moon-Seong;Song, Inhong;Hwang, Soon-Ho;Park, Jihoon;Ahn, Ji-Hyun
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.3
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    • pp.63-73
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    • 2013
  • The objectives of this study were to develop a hydrologic simulation model to estimate surface drainage for irrigation districts consisting of paddy and protected cultivation, and to evaluate the applicability of the developed model. The model consists of three sub-models; agricultural supply, paddy block drainage, and protected cultivation runoff. The model simulates daily total drainage as the sum of paddy field drainage, irrigation canal drainage, and protected cultivation runoff at the outlets of the irrigation districts. The agricultural supply sub-model was formulated considering crop water requirement for growing seasons and agricultural water management loss. Agricultural supply was calculated for use as input data for the paddy block sub-model. The paddy block drainage sub-model simulates paddy field drainage based on water balance, and irrigation canal drainage as a fraction of agricultural supply. Protected cultivation runoff is calculated based on NRCS (Natural Resources Conservation Service) curve number method. The Idong reservoir irrigation district was selected for surface drainage monitoring and model verification. The parameters of model were calibrated using a trial and error technique, and validated with the measured data from the study site. The model can be a useful tool to estimate surface drainage for irrigated districts consisting of paddy and protected cultivation.

Effect of Soil Texture on Rice Growth and Paddy Soil Percolation under Lysimeter Condition (라이시미터 조건에서 토성이 벼의 생육 및 논토양의 지하삼투수량에 미치는 영향)

  • Chae, Je-Cheon;Kim, Sung-Won
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.46 no.3
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    • pp.236-240
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    • 2001
  • The lysimeter experiment was conducted to investigate the temporal changes of irrigation requirement, soil water percolation and rice root distribution during rice growing period under different soil texture that were sandy loam, clay loam and clay paddy soil in 1999 and 2000. The irrigation requirement in the first year was 3,306 l/$m^2$ in clay loam, 2,650 l/$m^2$ in sandy loam and 2,002 l/$m^2$ in clay soil. However, the highest irrigation requirement was 5,281 l/$m^2$ in sandy loam and the next was 4,984 l/$m^2$ in clay loam and 3,968 l/$m^2$ in clay soil in the second year, Soil water percolation in the first year was 2,141 l/$m^2$ in clay loam, 1,228 l/$m^2$ in Sandy loam and 862 l/$m^2$ in clay soil. However, in the second year, the highest water percolation of 4,448 l/$m^2$ was measured in sandy loam, and was followed by 3,833 l/$m^2$ in clay loam and 2,925 l/$m^2$ in clay soil. Distribution ratio of rice roots measured in 0-10cm of soil depth was 56.0% in sandy loam, 61.4% in clay loam and 72.1% in clay soil, respectively. It was interpreted that the greater water percolation measured in the second year was caused mainly by the large amount of rice root growth. Therefore, it was concluded that the soil water percolation in rice paddy soil was affected greatly not only by soil texture but also the growth of rice root.

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Optimal Reservoir Operation Models for Paddy Rice Irrigation with Weather Forecasts(Ill) -Model Application- (기상예보를 고려한 관개용 저수지의 최적 조작 모형(III) -모형의 적용-)

  • 김병진;박승우;정하우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.36 no.3
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    • pp.47-59
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    • 1994
  • The irrigation reservoir operation models developed were tested with weather and field data, and the sensitivity of the water requirement deficiency indices(WRDI) were checked with different initial reservoir storages, irrigated areas, and other water uses from the reservoir storage. Seven reservoir release rules were applied to Yongseol Reservoir. Twenty year WRDIs were computed to check performances of those reservoir release rules. Mean WRDIs were 138, 198, 198, 200, 240, 344, and 1033mm for ROM, TOS, COS, CRR, MSC, FAS, and SRC, respectively. The results indicated that ROM contributes consistently to higher operation efficiencies of an irrigation reservoir. The test results of LFROM and SFROM showed that reservoir operation with the proposed optimization technique ROM would be better suited for an irrigation district than those with the other rules. And the proposed model could be used as a tool to improve reservoir operations.

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Estimation of Irrigation Requirements for Red Pepper using Soil Moisture Model with High Resolution Meteorological Data (고해상도 기상자료와 토양수분모형을 이용한 고추의 관개량 산정)

  • Shin, Yong-Hoon;Choi, Jin-Yong;Lee, Seung-Jae;Lee, Sung-Hack
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.5
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    • pp.31-40
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    • 2017
  • The aim of this study is to estimate net irrigation requirements for red pepper during growing period using soil moisture model. The soil moisture model based on water balance approach simulates soil moisture contents of 4 soil layers in crop root zone considering soil moisture extraction pattern. The LAMP (Land-Atmosphere Modeling Package) high resolution meteorological data provided from National Center for AgroMeteorology (NCAM) was used to simulate soil moisture as the input weather data. Study area for the LAMP data and soil moisture simulation covers $36.92^{\circ}{\sim}37.40^{\circ}$ in latitude and $127.36^{\circ}{\sim}127.94^{\circ}$ in longitude. Soil moisture was monitored using FDR (Frequency Domain Reflectometry) sensors and the data were used to validate the simulation model from May 24 to October 20 in 2016. The results showed spatially detailed soil moisture pattern under different weather conditions and soil texture. Net irrigation requirements were also different by location reflecting the spatially distributed weather condition. The average of the requirements was 470.7 mm and averages about soil texture were 466.8 mm, 482.4 mm, 456.0 mm, 481.7 mm, and 465.6 mm for clay loam, sandy loam, silty clay loam, clay, and sand respectively. This study showed spatial differences of soil moisture and the irrigation requirements of red pepper about spatially uneven weather condition and soil texture. From the results, it was demonstrated that high resolution meteorological data could provide an opportunity of spatially different crop water requirement estimation during the irrigation management.

Soil Salt Prediction Modeling for the Estimation of Irrigation Water Requirements for Dry Field Crops in Reclaimed Tidelands (간척지 밭작물의 관개용수량 추정을 위한 토양염분예측모형 개발)

  • 손재권;구자웅;최진규
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.36 no.2
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    • pp.96-110
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    • 1994
  • The purpose of this study is to develop soil salt prediction model for the estimation of irrigation water requirements for dry field crops in reclaimed tidelands. The simulation model based on water balance equation, salt balance equation, and salt storage equation was developed for daily prediction of sa]t concentration in root zone. The data obtained from field measurement during the growing period of tomato were used to evaluate the applicability of this model. The results of this study are summarized as follows: 1.The optimum irrigation point which maximizes the crop yield in reclaimed tidelands of silt loam soil while maintaining the salt concentration within the tolerance level, ws found to be pF 1.6, and total irrigation requirement after transplanting was 602mm(6.7 mm/day)for tomato. 2.When the irrigation point was pF 1.6, the deviation between predicted and measured salt concentration was less than 4 % at the significance level of 1 7% 3.Since the deviations between predicted and measured values data decrease as the amount of irrigation water increases, the proposed model appear to be more suitable for use in reclaimed tidelands. 4.The amount of irrigation water estimated by the simulation model was 7.2mm/day in the average for cultivating tomato at the optimum irrigation point of pF 1.6.The simulation model proposed in this study can be generalized by applying it to other crops. This, model, also, could be further improved and extended to estimate desalinization effects in reclaimed tidelands by including meteorological effect, capillary phenomenon, and infiltration.

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

  • 김병진;박승우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.36 no.2
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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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