• Geotechnical Engineering
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• v.14 no.1
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• pp.5-14
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• 1998

In refuse landfill, long-term settlement is considerably dependent upon the biological decomposition of refuse which is distinguished from typical soil behavior. Two equations are combined in order to model long-term settlement behavior of refuse landfill caused by mechanical secondary compression and secondary compression caused by the decomposition of biolegradable refuse. It is suggested that mechanical secondary compression is linear with respcet to the logarithm of time. In order to estimate the settlement that occurs due. to the decomposition of biodegradable refuse, a mathematical model is used which theoretically conoiders the decomposition process related to the solubilization stage of biodegradable refuse solid. This model is based on hydrolysis process and expressed as first order kinetics. The proposed model is applied to Lysimeter compression data of an old refuse. This paper intends to propose the simplest mathematical model which effectively represents settlement caused by the solubilization stage of biodegradable refuse solid on decomposition process.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.7 no.4
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• pp.31-40
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• 1987

To evaluate the fundamental factors in the recovery of biogas from the landfills composed of about 40% of volatile solids, the experiments for the samples from the operating landfill site as well as from the laboratory-scale lysimeter were undertaken. In the test of landfills, the change of moisture content, the content of volatile solids (VS), the ratio of saccharide to ligin(Y) and the estimation of landfills reclaimed and the correlationship between VS and Y were investigated. During the experiments with laboratory-lysimeter, temperature, pH, gas production rate, the composition of gas were measured. The mathematical model derived from the the rate coefficient of gas production(k) were proposed from the results of this investigation. Furthermore, the proposed mathematical model from this study was verified with the obtained values from experiments.

• Journal of the Korean Geosynthetics Society
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• v.2 no.3
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• pp.11-18
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• 2003

The one of the most important concerns in the design of the final cover system is to restrict percolation of water into the waste body. To minimize entering the water, the final cover system has the barrier layer that consists of a single compacted clay liner(CCL) or a composite liner with high density polyethylene(HDPE) overlying CCL. The HDPE as well as CCL can be damaged by landfill settlements. Therefore, this study was conducted to assess the effects of HDPE induced by settlements in the final cover system after closure. The results of the three test that is field test, lysimeter test in laboratory, and prediction of settlement represent that the HDPE in the final cover system is not pretty much affected by settlements and stable on settlements.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.115-119
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• 2006

The goal of this research is to develop and apply the generalized regression neural networks model (GRNNM) embedding genetic algorithm (GA) for pan evaporation, which is missed or ungaged and for the alfalfa reference evapotranspiration, which is not measured in South Korea. The GRNNM-GA is evaluated using the training, the testing, and reproduction performance respectively for the estimation of the PE and the alfalfa reference evapotranspiration. Since the observed data of the alfalfa reference evapotranspiration using lysimeter have not been measured for a long time in South Korea, the PM method is used to assume and estimate the observed alfalfa reference evapotranspiration. From this research, we evaluate the impact of the limited climatical variables on the accuracy of the GRNNM-GA. We should, furthermore, construct the credible data of the PE and the alfalfa reference evapotranspiration and suggest the reference data for irrigation and drainage networks system in South Korea.

• Asian Journal of Turfgrass Science
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• v.8 no.3
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• pp.193-199
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• 1994

Effect pf rape seed oil cake compast (OM) active carbon(C) compound fertilizer (NPK) and magnesium sulfate (Mg) application on Zoysia koreana growth by lysimeter of 50cm soil column filled with a low fertility loam. Effect on growth was in order of OM>OM . NPK interaction> NPK . active carbon and Mg were not effective OM . NPK interaction effect was negative on leaf width and root dry matter yield. OM and OM . NPK interaction were most effective on rhizome growth. Their effect did not change the ratio of growth rates between aerial part and rhizome but change that between aerial part and root. Leaf width was most sensitive to the treatments.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.32-37
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• 2005

Crop evapotranspiration rates of the garlic, potato and carrot were measured in a lysimeter at the National Institute of Subtropical Agriculture. The crop coefficients were calculated using the values of the actually measured evapotranspiration(ETcrop) and the reference crop evapotranspiration (ETo) estimated by the Penman-Monteith equation. The maximum crop coefficients of the garlic, potato, carrot and cabbage were 1.07, 1.07, 0.73 and 0.92 respectively. For the Citrus Aoshima Unshiu and Hallabong in the plastic house, the maximum crop coefficients were 1.38 and 1.29 respectively. Computer program using EXCEL was also developed to estimate the crop water use.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.75-80
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• 1999

The water requirement of crops in paddy fields is composed of evapotranspiration and infiltration. The determination of effective rainfall has the great significance for the irrigation managements and system design. There are numerous methods to estimate effective rainfall. The FreeBoard Model(FBM), ond of them , is popular because it can describe the algorithm of effective rainfal with simplified and general formation. The purpose of this study is to evaluate effective rainfall by field measurement , to compare this closely with the results from freeboard model and modified freeboard model , and to find out which of two models is more consistent with the results obtained by measurements.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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• pp.247-250
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• 2003

Crop evapotranspiration rates of the garlic and potato were measured in a lysimeter at National Jeju Agricultural Experiment Station, Rural Development Administration, Korea. The crop coefficients were calculated using the values of the actually measured evapotranspiration(ETcrop) and the reference crop evapotranspiration (ETo) estimated by the Penman-Monteith equation. The maximum crop coefficients of the potato and garlic were 1.07 and 1.31 respectively. A water requirement model using the moisture accounting method is presented. The moisture accounting method is illustrated by the example (Table 2). As soon as the accumulated deficit exceeds 22 mm, a further irrigation is supplied.

• Korean Journal of Environmental Agriculture
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• v.12 no.3
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• pp.309-318
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• 1993

A few technical methods including lysimeter, micro-ecosystem and soil column experiments which have been used for elucidation of the behaviour of pesticide residues in soil by means of the $^{14}C-radiotracer$ were introduced. They are essential for the investigation of soil-bound residues of pesticides, and hence the continued development and support in this field are urgently required.

• Magazine of the Korean Society of Agricultural Engineers
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• v.40 no.1
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• pp.43-48
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• 1998

In order to provide basic information for the estimation of evapotranspiration for grass (Joycia Japonica), both field lysimeter experiment and model prediction were performed to estimate daily ET Various methods were used to predict daily reference crop ET and crop coefficients. Measured mean daily ET during the 1997 growing season was 4.5mm Model predicted mean daily ET during the 1997 growing season varied from 3.6 to 4.7mm depending on the prediction model Crop coefficients varied from 0.96 to 1.27 depending on the prediction model Comparison of the seven reference crop ET prediction methods used in this study shows that the Penman-Monteith method gave the smallest ET while the Hargreaves method gave the largest ET. The crop coefficient by the corrected Penman method was 1.03, which is closest to 1.0, suggesting that this method may he the best prediction method.