• Title/Summary/Keyword: Rain out

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Fatigue Design of Mooring Lines of Floating Type Combined Renewable Energy Platforms

  • Choung, Joon-Mo;Jeon, Sang-Ik;Lee, Min-Seong
    • International Journal of Ocean System Engineering
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    • v.1 no.3
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    • pp.171-179
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    • 2011
  • This paper presents the concept design procedure of a floating-type combined renewable energy platform based on hydrodynamic analyses and is focused on the fatigue design of taut-type mooring lines of the platform. Two types of combined renewable energy platforms are considered: a combination of wind turbine, wave turbine and photovoltaic energy plant and a combination of wind turbine, current turbine and photovoltaic energy plant. The basic configurations are conceptually determined from the understanding of floating offshore plants, while the main dimensions have been determined based on a hydrostatic calculation. Fully coupled hydrodynamic analyses have been carried out to identify the motion characteristics of the floating body and the tension histories of the mooring lines. The tension history is used for the fatigue life prediction based on the rain-flow cycle counting method. For the fatigue life prediction, tension life curves from API and the Palmgren-Miner rule are employed.

Effective adsorption of lead and copper from aqueous solution by samaneasaman and banana stem

  • Harish, Narayana;Janardhan, Prashanth;Sangami, Sanjeev
    • Advances in environmental research
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    • v.7 no.3
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    • pp.225-237
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    • 2018
  • The sorption of metal ions with low-cost adsorbents plays an important role in sustainable development. In the present study, the efficacy of sugarcane bagasse, rain tree fruits (samaneasaman), banana stem and their mixtures, used as bio-sorbents, in the removal of Cu(II) and Pb(II) ions from aqueous solution is evaluated. Batch studies are conducted, and residual ions were measured using Inductively Coupled Plasma (ICP)-atomic spectrometer. Effect of pH, initial metal ion concentration, reaction time and adsorbent dosage are studied. The Pb(II) removal efficiency was observed to be 97.88%, 98.60% and 91.74% for rain tree fruits, banana stem and a mixture of adsorbents respectively. The highest Cu(II) ion removal was observed for sugarcane bagasse sorbent with an efficiency of 82.10% with a pH of 4.5 and a reaction time of 90 min. Finally, desorption studies were carried out to study the leaching potential of adsorbent, and it was found that the adsorbent is stable in water than the other leaching agents such as HCl, ammonium acetate, Sodium EDTA. Hence, these adsorbents can be effectively used for the removal of these heavy metals.

Radar Quantitative Precipitation Estimation using Long Short-Term Memory Networks

  • Thi, Linh Dinh;Yoon, Seong-Sim;Bae, Deg-Hyo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.183-183
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    • 2020
  • Accurate quantitative precipitation estimation plays an important role in hydrological modelling and prediction. Instantaneous quantitative precipitation estimation (QPE) by utilizing the weather radar data is a great applicability for operational hydrology in a catchment. Previously, regression technique performed between reflectivity (Z) and rain intensity (R) is used commonly to obtain radar QPEs. A novel, recent approaching method which might be applied in hydrological area for QPE is Long Short-Term Memory (LSTM) Networks. LSTM networks is a development and evolution of Recurrent Neuron Networks (RNNs) method that overcomes the limited memory capacity of RNNs and allows learning of long-term input-output dependencies. The advantages of LSTM compare to RNN technique is proven by previous works. In this study, LSTM networks is used to estimate the quantitative precipitation from weather radar for an urban catchment in South Korea. Radar information and rain-gauge data are used to evaluate and verify the estimation. The estimation results figure out that LSTM approaching method shows the accuracy and outperformance compared to Z-R relationship method. This study gives us the high potential of LSTM and its applications in urban hydrology.

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An Experimental Study on Permeable Water Proof Admixtures of Concrete (콘크리트 침투성 방수제의 실험적 연구)

  • 구민세;박언규
    • Magazine of the Korea Concrete Institute
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    • v.8 no.1
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    • pp.138-144
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    • 1996
  • At present, waterproof is absolutely needed to minimize the carbonation of bridge decks in Kor ea. In this research indoor experiments for penetrative waterproof admixture out of available methods are carried out to evaluate the resisting characteristics against natural arid artificial car bona ting conditions. The test results show that the optimal time of waterproof is 14 days after the concrete construc. tion but reconsideration is necessary for the application to high strength concrete because of the reduction in penetration of waterproof admixture. The results also show that the penetrat ive waterproof admixture has srrong resistance to the acid rain. However the waterproof capability of the admixture is not permanent especially under the natural exposure. Therefore the slab of a bridge should be paved with asphalt concrete. Other noticeable effects are the increase of heat and abrasion resistances from the use of the waterproof agents.

Runoff Pattern in Upland Soils with Various Soil Texture and Slope at Torrential Rainfall Events (집중강우시 우리나라 밭토양의 토성과 경사에 따른 물유출 양상)

  • Jung, Kang-Ho;Hur, Seung-Oh;Ha, Sang-Geon;Park, Chan-Won;Lee, Hyun-Haeng
    • Korean Journal of Soil Science and Fertilizer
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    • v.40 no.3
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    • pp.208-213
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    • 2007
  • When overland flow water is small and slow, it moves down a stream slowly and we use it as available resource. However, it could not only be good for nothing but arouse an inundation if a lot of runoff pour down to stream at a torrential rain. So it is important to know how much water to flow out and be stored in soil and on land in order to predict a flood and conserve soil and water quality. We intended to develop the prediction model of runoff in upland at a torrential rain and conducted lysimeter study in soybean cultivation and bare soil with 3 slopeness, 3 slope length and 5 soil texture from 1985 to 1991. The data of rainfall and runoff were used when daily rainfall was over 80 mm, the level of torrential rain warning. Minimum rainfall occurring runoff (MROR) was dependent on surface coverage and slope length. However soil texture and slopeness had a little influence on MROR. Runoff after MROR increased in proportion to precipitation which depended on surface coverage, soil texture and slope. Runoff ratio was larger in fine texture and bare soil than coarse soil and soybean coverage. Runoff ratio was in proportion to a square root of slope angle(radian) and reduced with slope length to converge a certain value. From these basis, we developed the prediction model following as $$Runoff(mm)=a(s^{0.5}+l^b)(Rainfall(mm)-80(1-e^{-bl}))$$ where a is a coefficient relevant soil hydraulic properties, b is a surface coverage coefficient, s is a slope angle and l is a slope length. The coefficient a was 0.5 in sandy loam and 0.6 in clay, and b was 0.06 in bare soil and 0.5 in soybean cultivation.

Yearly Changes in the Precipitation Component and Investigation on the Source Strength to Acid Rain in the Iksan Area (익산지역 강수성분의 연차 변화와 산성비 원인물질 조사)

  • Lee, Kyeong-Bo;Kang, Jong-Gook;Kim, Jong-Gu;Rhee, Gyeong-Soo;So, Jae-Don
    • Korean Journal of Environmental Agriculture
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    • v.15 no.2
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    • pp.188-197
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    • 1996
  • This study was carried out to investigate yearly changes in the precipitation component and the source strength to acid precipitation in the rural area of Chinbuk province by analysis of the chemical components in the precipitation at National Honam Agricultural Experiment Station RDA in the suburbs of Iksan from 1991 to 1995. The average ratio of acid precipitation was 47.9% from 1991 to 1995. pH of the rain water in precipitation below 5mm was higher than that above 5mm and the concentration of the ions in the rain water was the highest in the first fraction$(0{\sim}5mm)$ of precipitation. The amount and ratio of the precipitation below pH 4.0 from 1991 to 1995 were 64mm and 1.4%, respectively. The order of the major ions concentration in the precipitation was $SO_4\;^{2-}$ > $NO_3\;^-$ > $Cl^-$ > $NH_4\;^+$ > $Ca^{2+}$ > $K^+$ ${\lrcorner}\;Mg^{2+}$. The relative contributions to the acidification of the rain in Iksan were 52% from $SO_4\;^{2-}$, 25% from $NO_3\;^-$ and 23% from $Cl^-$.

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Effects of Simulated Acid Rain on Stomatal Resistance, Wettability and Anatomical Changes in Quercus acutissima and Ginkgo biloba Seedlings (인공산성우가 상수리나무와 은행나무 유묘의 기공저항성, 엽의 Wettability 및 해부학적 변화에 미치는 영향)

  • Lee, Kye Han;Chung, Gap Chae;Lee, Jyung Seuk
    • Journal of Korean Society of Forest Science
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    • v.82 no.4
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    • pp.337-346
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    • 1993
  • Experiments were performed to find out the effects of simulated acid rain(SAR) of pH 4.0 or pH 2.5 for 12 weeks on stomatal resistance, wettability and anatomical changes in Quercus acutissima and Ginkgo biloba seedlings. As a control, distilled water with a pH 6.5 was also sprayed. Stomatal resistance of Q. acutissima and of G. biloba remarkably increased after exposure to SAR. SAR increased the wettability of Q. acutissima leaves measured with water blue solution and of G. biloba leaves measured by leaf contact angle method. Anatomical changes in the leaves of Q. acutissima affected by SAR were the partial damage of epidermis and parenchymatous cells. Scanning electron microscopical observation showed that the number of trichomes in the leaves of Q. acutissima treated with SAR markedly decreased and the erosion of epicuticular wax was significant. No distinct damage was found in the G. biloba leaves at pH 4.0, while epidermis and vascular tissue were collapsed at pH 2.5. No significant alteration of surface structures in this tree species was observed.

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Effects of Heavy Rain during Rainy Season and Drainage Methods on Soil Water Content, Photosynthesis Characteristics, and Growth in 'Jinok' and 'Campbell Early' Grapes (장마기 집중호우와 배수방법이 토양수분 및 포도 '진옥'과 '캠벨얼리'의 광합성 특성과 생육에 미치는 영향)

  • Choi, Young Min;Jung, Sung Min;Choi, Dong Geun
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.19 no.1
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    • pp.1-9
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    • 2017
  • Recently, it is increasing the grape farm which is converted from paddy field to orchard. These soil which are poor drainage extremely also can be damaged a lot by excessive water or flooding during heavy rain season on summer. Therefore the aim of this study was carried out to measure the changes of soil water potential and to compare the growth responses of 'Jinok' (Vitis spp.) and 'Campbell Early' (V. labruscana) grapes under three drainage systems (control, conventional drainage, and under drainage). After heavy rain, soil water potential holding times above -15 kpa applied water excessive were 352, 348 and 180 hours in control, conventional, and under drainage systems, respectively. The clay content of the under drainage system was lower than the other systems about 8-12%. The crop water stress index was lowest in the under drainage and highest in the control. Also, photosynthetic rate has showed the opposite result with crop water stress index. It was significant differences between the treatments but, the value has not shown significantly different between the varieties. In addition, leaf area and the trunk growth rate was more effective in under drainage than in the control and conventional drainage.

The study on the selection of operating conditions of the precipitation heating system for observation of snowfall in winter (겨울철 강설 관측을 위한 강수량계 가열 시스템 운영 조건 선정에 관한 연구)

  • Kim, Byeongtaek;Hwang, Sungeun;Lee, Youngtae;Kim, Minhoo;Hwang, Hyunjun;In, Sora;Yun, Jinah;Kim, Kihoon
    • Journal of Korea Water Resources Association
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    • v.56 no.7
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    • pp.461-470
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    • 2023
  • The purpose of this research is to derive the optimal temperature, location, and heating control system for a tipping bucket rain gauge heating system used for observing snowfall during winter. We conducted indoor and outdoor experiments by manufacturing a tipping bucket rain gauge that can be variably controlled for heating at the funnel, exterior, and interior, and indoor and outdoor. The indoor experiments involved using a temperature and humidity chamber to compare the performance and derive the appropriate temperature of the precipitation gauge heating system. Subsequently, the outdoor experiments were carried out at the Cloud Physics Observation Center located in Daeguallyeong, heavy snowfall region, to validate the findings. The analysis result was derived that the heating temperature of the funnel should be set at the 10 to 30℃, while the internal heating temperature should be 70℃. Furthermore, the optimal locations for the heating devices, which aim to minimize measurement delay, were identified as the exterior of the rain gauge, the rim of the funnel, and the vertical surface of the funnel. Our result shows that used as the basis for the operating conditions of precipitation gauge heating systems for solid precipitation measurement in winter.

Using Extended Kalman Filter for Real-time Decision of Parameters of Z-R Relationship (확장 칼만 필터를 활용한 Z-R 관계식의 매개변수 실시간 결정)

  • Kim, Jungho;Yoo, Chulsang
    • Journal of Korea Water Resources Association
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    • v.47 no.2
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    • pp.119-133
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    • 2014
  • The study adopted extended Kalman filter technique in an effort to predict Z-R relationship parameter as a stable value in real-time. Toward this end, a parameter estimation model was established based on extended Kalman filter in consideration of non-linearity of Z-R relationship. A state-space model was established based on a study that was conducted by Adamowski and Muir (1989). Two parameters of Z-R relationship were set as state variables of the state-space model. As a result, a stable model where a divergence of Kalman gain and state variables are not generated was established. It is noteworthy that overestimated or underestimated parameters based on a conventional method were filtered and removed. As application of inappropriate parameters might cause physically unrealistic rain rate estimation, it can be more effective in terms of quantitative precipitation estimation. As a result of estimation on radar rainfall based on parameters predicted with the extended Kalman filter, the mean field bias correction factor turned out to be around 1.0 indicating that there was a minor difference from the gauge rain rate without the mean field bias correction. In addition, it turned out that it was possible to conduct more accurate estimation on radar rainfall compared to the conventional method.