• Title/Summary/Keyword: soil cover

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Investigation on the biodegradation of VOCs in soil, sewage sludge, and food waste compost (토양.하수 슬러지.음식물 쓰레기 퇴비내에서의 휘발성 유기화합물(VOCs)의 기체상 생분해에 관한 연구)

  • 김혜진;이은영;박재우
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2000.05a
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    • pp.11-14
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    • 2000
  • Wastewater sludge and composted food wastes were examined as the alternatives of a landfill cover for soils to eliminate the emission of VOCs. The benefit of these alternatives is in their high sorption capacity, which is 5 to 50 times higher than natural soils. After sorption is finished, biodegradation is an important mechanism in decrease of VOCs concentration. In order to investigate appropriate VOCs degradation condition, biodegradation batch experiment is being conducted with isolated strain X9-c. Both benzene and TCE were degraded only in soil with 12%(water volume/sorbent volumn) water condition. When the water condition varied from 12 to 48% in compost, optimum water conditions of composted food waste was 36%.

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Reliability of underground concrete barriers against normal missile impact

  • Siddiqui, N.A.;Khan, F.H.;Umar, A.
    • Computers and Concrete
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    • v.6 no.1
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    • pp.79-93
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    • 2009
  • In the present paper, a methodology has been presented for the reliability assessment of concrete barriers that lie at a certain depth in the soil, and a missile (a rigid projectile) impacts the top of the soil cover normally, and subsequently after penetrating the soil cover completely it hits the barrier with certain striking velocity. For this purpose, using expressions available in the literature, striking velocity of missile at any depth of soil has been derived and then expressions for the depths of penetration in crater and tunnel region of concrete barrier have been deduced. These depths of penetration have been employed for the derivation of limit state functions. Using the derived limit state functions reliability assessment of underground concrete barrier has then been carried out through First Order Reliability Method (FORM). To study the influence of various random variables on barrier reliability, sensitivity analysis has also been carried out. In addition, a number of parametric studies is conducted to obtain the results of practical interest.

A Study of Landfill Coyer Liners by Freezing/Thawing (동결/융해에 따른 폐기물 매립지 복토층 연구)

  • Jai-Young Lee
    • Journal of Korea Soil Environment Society
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    • v.1 no.1
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    • pp.103-109
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    • 1996
  • The cover liners at municipal and hazardous waste landfill is not emphasized as much as the bottom liners. However, one of the most effective reason of landfill destroy is the cover liner failure. The cover system at municipal and hazardous waste landfill, 1 perform the following functions, at minimum: promote surface runoff, impede infiltration, protect settlement in the landfill, and provide a buffer from surface exposure of the waste. This research was to expand the existing knowledge base of landfill cover liner behavior during period of freeze/thaw Also, the great Lysimeter was built in the laboratory to provide as much as same condition with the field and three designs were simulated by actual cover materials. The result of simulation indicated the clay was effected by freezing/thawing. The degradation of cover liners in the frost penetration affects the physical, engineering properties of clay. these factors may consider to design and construct of the landfill. This paper provides the description of testing cover liners, experimental results and a discussion of the results of the simulation.

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Landsat TM Based Land-cover Analysis of Cholwon (South Korea) and Wonsan (North Korea)

  • Song, Moo-Young;Park, Jong-Oh;Shin, Kwang-Soo;Yu, Young-Chul
    • Journal of the Korean earth science society
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    • v.23 no.1
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    • pp.1-14
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    • 2002
  • The land-cover of two regions of South and North Korea included in one Landsat TM scene was investigated by comparing different seasons and different band data over the multiple land-cover types. The relationships between the intensities of two bands in the 2-D plot are mainly linear in band2 versus band1 and band3 versus band1, polygonal sporadic in band5 versus band1 and band7 versus band1, and almost tri-polarized in band4 versus band3. The 2-D plot of band4/band3 shows the best capability to discriminate different main land-cover such as water, vegetation and dry soil. Some discriminations are not clear between city and dry field, or mountain and plain field in the scene of September. The digital number data of band4 from vegetated zones show stronger reflectance in September rather than April, while other band values tend to be lager in April than in September over each land-cover. NDVI presents high value in both regions in September. However the image of Wonsan area in April suggests weak vigor of vegetation in comparison with Cholwon area. Band ratios are very effective in eliminating the influence of the complex topography. The proper pairing of the band ratio improved the discrimination capability of the land-cover; band5/band2 for dry soil, band4/band3 for vegetation and band1/band7 for the water. The RGB combination of the three band ratio pairs showed the best results in the discrimination of the land-cover of Wonsan, Cholwon and even the Demilitarized Zone.

A Study of Runoff Curve Number Estimation Using Land Cover Classified by Artificial Neural Networks (신경망기법으로 분류한 토지피복도의 CN값 산정 적용성 검토)

  • Kim, Hong-Tae;Shin, Hyun-Suk
    • Journal of Korea Water Resources Association
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    • v.36 no.4
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    • pp.633-645
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    • 2003
  • The techniques of GIS and remote sensing are being applied to hydrology, geomorphology and various field of studies are performed by many researcher, related those techniques. In this paper, curve number change detection is tested according to soil map and land cover in mountain area. Neural networks method is applied for land cover classification and GIS for curve number calculation. The first, sample area are selected and tested land cover classification, NN(84.1%) is superior to MLC(80.9%). So we selected NN with land cover classifier. The second, curve number from the land cover by neural network classifier(57) is compared with that(curve number) from the land cover by manual work(55). Two values are so similar. The third, curve number classified by NN in sample area was applied and tested to whole study area. As results of this study, it is shown that curve number is more exact and efficient by using NN and GIS technique than by (using) manual work.

The Soil Loss Analysis using Landcover of WAMIS - for Musimcheon Watershed - (WAMIS 토지피복도를 활용한 토양유실량 분석 - 무심천 유역을 대상으로 -)

  • Kim, Joo-Hun;Lee, Chung-Dae;Kim, Kyung-Tak;Choi, Yun-Seok
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.4
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    • pp.122-131
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    • 2007
  • This study estimates how soil loss in a basin has been occurred according to the change of land cover, and analyzes which type of land cover has the largest soil loss by classifying the land-cover type into each area and a whole basin. Musimcheon, the second branch stream of GeumGang, is chosen as a research area. The result of analysis shows that the average soil loss occurs most largely in a crop land and a paddy field. The yearly soil loss of watershed estimates approximately 14,000 ton/yr in case of using 100-year-frequency rainfall data. A forest area, which takes the largest area in watershed, shows the soil loss occurs approximately 1,000ton/yr. A crop field shows that soil loss increased most largely 4,900 ton/yr (34.6%) in 1985 to 8,100 ton/yr (56.1%) in 2000. The change of land cover in a crop land increased 8% to 14%, and this change influences on the increase of soil loss. As a result of analyzing the area over $200ton/km^2/yr$, the soil loss in a crop field accounts for 74% to 96%.

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Application of Surface Cover Materials and Soil Amendments for Reduction of Non-Point Source Pollution from Upland Fields (배추와 무밭에서 발생하는 비점오염원 저감을 위한 피복재와 토양개량제 적용)

  • Shin, Min Hwan;Jang, Jeong Ryeol;Shin, Hyun Jun;Kum, Dong Hyuk;Choi, Yong Hun;Won, Chul Hee;Lim, Kyoung Jae;Choi, Joong Dae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.4
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    • pp.21-28
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    • 2013
  • The objective of the study was to investigate the effect of rice straw mat, rice straw mat with PAM (Polyacrylamide) and gypsum addition on surface runoff and sediment discharge in field. Six experimental plots of $5{\times}22m$ in size and 3 % in slope prepared on gravelly sandy loam soil were treated with control, rice straw mat cover with gypsum and rice straw mat cover with gypsum and PAM. Radish in Spring and Chinese cabbage in autumn growing seasons were cultivated. Non point source (NPS) pollution discharge was monitored and compared among the treatments. Rainfall of the 10 monitored events ranged from 17.0 mm to 93.5 mm. Runoff coefficient of the events was 0.005~0.239 in control plot, 0~0.176 in rice straw plot with gypsum and 0~0.046 in rice straw mat plot with gypsum and PAM. When compared to the control plot, the runoff amount was reduced by 10.4~100 % (Ave. 60.8) in rice straw plot with gypsum and 80.7~100 % (Ave. 96.7 %) in rice straw mat plot with gypsum and PAM. The reduction of NPS pollution load was 54.6 % for BOD5, 71.5 % for SS, 41.6 % for TN and 61.4 % for T-P in rice straw with gypsum plot and 91.9 % for BOD5, 92.0 % for SS, 88.0 % for TN and 88.5 % for T-P in rice straw mat with gypsum and PAM plot. This research revealed that rice straw mat cover with soil amendments on the soil surface could not only increase the crop yield but also reduce the NPS pollution loads substantially.

Development of USLExls and its Application for the Analysis of the Impact of Soil-Filling Work on Soil Loss (USLExls를 이용한 복토법에 따른 필지 단위 토양유실량 분석)

  • Kim, Sorae;Yu, Chan;Lee, Sang-Whan;Ji, Won-Hyun;Jang, Min-Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.6
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    • pp.109-125
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    • 2017
  • This study aimed to develop a parcel-unit soil loss estimation tool embedded in Excel worksheet, USLExls, required for the design of contaminated farmland restoration project and to analyze the impact of the project carried out soil-filling work on soil loss. USLE method was adopted for the estimation of average annual soil loss in a parcel unit, and each erosivity factor in the USLE equation was defined through the review of previous studies. USLExls was implemented to allow an engineer to try out different combinations just by selecting one among the popular formulas by each factor at a combo box and to simply update parameters by using look-up tables. This study applied it to the estimation of soil loss before and after soil-filling work at Dong-a project area. The average annual soil loss after the project increased by about 2.4 times than before on average, and about 60 % of 291 parcels shifted to worse classes under the classification criteria proposed by Kwak (2005). Although average farmland steepness was lower thanks to land grading work, the soil loss increased because the inappropriate texture of the cover soil induced the soil erosion factor K to increase from 0.33 before to 0.78 after the soil-filling work. The results showed that the selection of cover soil for soil-filling work should be carefully considered in terms soil loss control and the estimation of change in soil loss should be mandatory in planning a contaminated farmland restoration project.