• Title/Summary/Keyword: Rainfall range

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A Long-term Monitoring of Water Quality at Chongok Cave (천곡동굴의 수질환경 장기 모니터링)

  • Jun, Byonghee
    • Journal of the Korean GEO-environmental Society
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    • v.14 no.9
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    • pp.13-19
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    • 2013
  • The Chongok karst cave which is located in Donghae-city, has high tourist and educational value due to existence of many doline(sink hole). Whereas this cave is easy to approach for the tourists, because this cave is located near the downtown, a high environmental riskiness such as sewage flowing has been also involved. In study, we observed the variation of water quality with long-term monitoring and investigated the possibility of existence of impact factor to water eco-system and determined the proper long-term monitoring factor among many monitoring criteria. The groundwater quality was maintained in the range of about $14^{\circ}C$ in temperature, over 10mg/l in dissolved oxygen and 7-8 in pH, so the impact factor in water eco-system was not observed. The guide line to make sure of tourist safety was determined to 60mm/d as daily rainfall. The conductivity was suggested to main factor for long-term monitoring main factor and pH/turbidity was suitable for the supplementary factor. For the seasonal variation monitoring, ORP was recommended.

Sensitivity of Runoff and Soil Erosion in the Burnt Mountains (산불지역의 유출 및 토양침식 민감도)

  • Park, Sang-Deog;Shin, Seung-Sook;Lee, Kyu-Song
    • Journal of Korea Water Resources Association
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    • v.38 no.1
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    • pp.59-71
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    • 2005
  • Mountain watersheds are a lot of problems about soil erosion because of frequent wildfire occurrence. Runoff and soil erosion caused by the rain on a hillslope after wildfire are dependent on cover factor. And these has been a decrease by the cover factor recovery following time passage. The present paper defines the dynamic sensitivity of runoff and soil erosion that is the rate of runoff volume and soil erosion weight to rainfall energy and analyzes characteristics of the sensitivity for variation of cover factor, In according to the correlation analysis between other parameters and sensitivities, the sensitivity is the most dependent on the cover factor and the relation is exponential. The sensitivities after wildfire have suitable relation with treatment method for the mitigation of burnt forest and wildfire intensity. It was confirmed that the variation of soil erosion sensitivities come upon the range of stability in 5 years after wildfire.

A Study of Chemical Constituents in the major Streams in TaeGu City (대구시 주요 하천수의 이화학적 성분에 관한 조사연구)

  • Kang, Hoe-yang;Jung, Chan
    • Journal of Environmental Health Sciences
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    • v.9 no.1
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    • pp.31-47
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    • 1983
  • This study was performed to investigate how much chemical constituents are contained and to what extent they are spread in the major streams running through Taegu City, i. e.: Yeechun, Beomeo, Chilsung, Dalseo, during the seven months Period between March to September, 1982. Nine constituents, pH, DO, COD, T-N, $NH_4-N, NO_2-N, NO_3-N, Cl^-, SO_4--$ and $PO_4-P---$, were found to be-contained in those streams. The results of the survey are summarized as follows. 1) Each chemical constituent detected in the five streams has the following variation range. pH(7.0-9.10), DO (ND-7.46ppm), COD (5.4-173ppm), T-N(13-42ppm), $NH^+_$-N$ (10.2-32.2ppm), $NO^-_2-N$ (0.007-2.53ppm), $NO^-_3-N$ (0.005-2.16ppm), $Cl^-$ (150-469 ppm), $SO_4^{3-}$ (71-1000ppm), $PO_4^{3-}-P$ (0.9-53ppm) The amount of all the constituents except pH, and $NO_3-N$, exceeded the standard value allowed for drinking, farming, and industrial water. 2) The monthly variation in the amount of each constituent differs according to the station from which it was sampled, but in general, the amount increased during the season from March to July when the rainfall was little while it decreased in August when the rainfall was abundant. 3) A statistical analysis of the constituents shows positive correlations that T-N and $NH^+_4-N$, water temperature and $NO^-_3-N$, but there were no ones beween the COD and $NH^+_4-N$ 4 ) The degree of COD pollution in each stream is in the following order. Kongdan, Yeechun, Beomeo, ChiLsung, and Dalseo. 5) Five major streams in Taegu City, Yeechun, Beomeo, Chilsung Dalseo, and Kongdan, are so narrow in width and so short in length that they flow into the Sincheon river or the Gumho river without undergoing self-purification. The increase in population and various kinds of industrial pollutants make the supply insufficient and water pollution inevitable. 4 ) The degree of COD pollution in each stream is in the following order. Kongdan, Yeechun, Beomeo, ChiLsung, and Dalseo.

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A study on the derivation of Dimensionless Unit Hydrographs by the Linear model in the small watersheds (선형 Model에 의한 소류역에 있어서의 무차원 단위도 유도에 관한 연구)

  • 이순혁;한중석
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.23 no.3
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    • pp.78-87
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    • 1981
  • This study was attempted to get dimensionless unit hydrograph by linear model which can be used to the estimation of flood for the development of Agricultural water resources and laid emphasis on the application of dimensionless unit hydrographs for the ungaged watersheds by applying linear model. The results summarized through this study are as follows. 1.Peak discharge is found to be Qp= CAR (C =0. 895A-o.145) having high significance between peak discharge, Qp and effective rainfall, R within the range of small watershed area, 84 to 470km2. consequently, linearity was acknowledged between rainfall and runoff. Reasonability is confirmed for the derivation of dimensionless unit hydrograph by linear model. 2.Through mathematical analysis, formula for the derivation of dimensionless unit hydrograph was derived. qp--p=(tp--t)n-1[e-(n-1)](tp--t-1) 3.Moment method was used for the evaluation of storage constant, K and shape parameter, n for the derivation of dimensionless unit hydrograph. Storage constant, K is more closely related with the such watershed characteristics as length of main stream and slopes. On the other hand, the shape parameter, n was derived with such watershed characteristics as watershed area, river length, centroid distance of the basin and slopes. 4.Time to peak discharge, Tp could be expressed as Tp=1. 25 (√s/L)0.76 having a high significance. 5.Dimensionless unit hydrographs by linear model stood more closely to the observe dimensionless unit hydrographs On the contrary, dimensionless unit hydrographs by S.C. S. method has much difference in comparison with linear model at the falling limb of hydrographs. 6.Relative errors in the q/qp at the point of 0.8 and 1.2 for the dimensionles ratio by linear model and S. C. S. method showed to be 2.41, 1.57 and 4.0, 3.19 percent respectively to the q/qp of observed dimensionless unit hydrographs. 7.Derivation of dimensionless unit hydrograph by linear model can be accomplished by linking the two empirical formulars for storage constant, K, and shape parameter, n with derivation formular for dimensionless unit hydrograph for the ungaged small watersheds.

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Assessment and Improvement of Monthly Coefficients of Kajiyama Formular on Climate Change (기후변화에 따른 가지야마 공식 월별 보정계수 개선 및 평가)

  • Seo, Jiho;Lee, Dongjun;Lee, Gwanjae;Kim, Jonggun;Kim, Ki-sung;Lim, Kyoung Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.5
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    • pp.81-93
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    • 2018
  • The Kajiyama formula, which is an empirical formula based on the maximum flood data at Korean watersheds, has been widely used for the design of hydraulic structures and management of watersheds. However, this formula was developed based on meteorological data and flow measured during early 1900s so that it could not consider the recently changed rainfall pattern due to climate changes. Moreover, the formula does not provide the monthly coefficients for 5 months including July and August (flood season), which causes the uncertainty to accurately interpret runoff characteristics at a watershed. Thus, the objective of this study is to enhance the monthly coefficients based on the recent meteorological data and flow data expanding the range of rainfall classification. The simulated runoff using the enhanced monthly coefficients showed better performance compared to that using the original coefficients. In addition, we evaluated the applicability of the enhanced monthly coefficient for future runoff prediction. Based on the results of this study, we found that the Kajiyame formula with the enhanced coefficients could be applied for the future prediction. Hence, the Kajiyama formula with enhanced monthly coefficient can be useful to support the policy and plan related to management of watersheds in Korea.

Development of a Flood Runoff and Inundation Analysis System Associated With 2-D Rainfall Data Generated Using Radar III. 2-D Flood Inundation Simulation (레이더 정량강우와 연계한 홍수유출 및 범람해석 시스템 확립 III. 2차원 홍수범람 모의)

  • Choi, Kyu-Hyun;Han, Kun-Yeun;Kim, Sang-Ho;Lee, Chang-Hee
    • Journal of Korea Water Resources Association
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    • v.39 no.4 s.165
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    • pp.347-362
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    • 2006
  • In this study, a 2-D flood inundation model was developed to evaluate the impact of levee failure in a natural basin for flood analysis. The model was applied to analyze the inundation flow from the levee break of Gamcheon river during the typhoon Rusa on October 31 through September 1, 2002. To verify the simulated results, wide range field surveys have been performed including the collection of NGIS database, land use condition, flooded area, and flow depths. Velocity distributions and inundation depths were presented to demonstrate the robustness of the model. Model results have good agreements with the observed data in terms of flood level and flooded area. The model is able to compute maximum stage and peak discharge efficiently in channel and protected lowland. Methodology considering radar-rainfall estimation using cokriging scheme, flood-runoff and inundation analysis in this study will contribute to the establishment of the national integrated flood disaster prevention system and the river or protect lowland management system.

Application of the Artificial Neurons Networks for Runoff Forecasting in Sungai Kolok Basin, Southern Thailand

  • Mama, Ruetaitip;Namsai, Matharit;Choi, Mikyoung;Jung, Kwansue
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.259-259
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    • 2016
  • This study examined Artificial Neurons Networks model (ANNs) for forecast flash discharge at Southern part of Thailand by using rainfall data and discharge data. The Sungai Kolok River Basin has meant the border crossing between Thailand and Malaysia which watershed drains an area lies in Thailand 691.88 square kilometer from over all 2,175 square kilometer. The river originates in mountainous area of Waeng district then flow through Gulf of Thailand at Narathiwat Province, which the river length is approximately 103 kilometers. Almost every year, flooding seems to have increased in frequency and magnitude which is highly non-linear and complicated phenomena. The purpose of this study is to forecast runoff on Sungai Kolok at X.119A gauge station (Sungai Kolok district, Narathiwat province) for 3 days in advance by using Artificial Neural Networks model (ANNs). 3 daily rainfall stations and 2 daily runoff station have been measured by Royal Irrigation Department and Meteorological Department during flood period 2000-2014 were used as input data. In order to check an accuracy of forecasting, forecasted runoff were compared with observed data by pursuing Coefficient of determination ($R^2$). The result of the first day gets the highest accuracy and then decreased in day 2 and day 3, consequently. $R^2$values for first day, second day and third day of runoff forecasting is 0.71, 0.62 and 0.49 respectively. The results confirmed that the ANNs model can be used when the range of collected dataset is short and real-time operated. In conclusion, the ANNs model is suitable to runoff forecasting during flood incident of Sungai Kolok river because it is straightforward model and require with only a few parameters for simulation.

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Evaluation of Corn Production Based on Different Climate Scenarios

  • Twumasi, George Blay;Choi, Kyung-Sook
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.518-518
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    • 2016
  • Agriculture is the lifeblood of the economy in Ghana, employs about 42% of the population work force and accounts for 30% of the Gross Domestic Product (GDP). Corn (maize) is the major cereal crop grown as staple food under rain fed conditions, covers over 92% of the total agricultural area, and contributes 54% of the caloric intake. Issues of hunger and food insecurity for the entire nation are associated with corn scarcity and low production. The climate changes are expected to affect corn production in Ghana. This study evaluated variations of corn yields based on different climate conditions of rain-fed area in the Dangbe East District of Ghana. AquaCrop model has been used to simulate corn growing cycles in study area for this purpose. The main goal for this study was to predict yield of corn using selected climatic parameters from 1992 to 2013 using different climate scenarios. The Model was calibrated and validated using observed field data, and the simulated grain yields matched well with observed values for the season under production giving an R squared (R2)of 0.93 and Nash-Sutcliff Error(NSE) of 0.21. Study results showed that rainfall reduction in the range of -5% to -20% would reduce the yield from 1.315ton/ha to 0.421ton/ha (-21. 3%) whereas increasing temperature from 1% to 7% would result in the maximum yield reduction of -20.6% (1.315 to 1.09 ton/ha.). On the other hand, increasing rainfall from 5-20% resulted in yield increment of 68% (1.315-2.209 ton/ha) and decreasing temperature produce 7% increase in yield ( 1.315 to 1.401ton/ha). These results provide useful information to adopt strategies by the Government of Ghana and farmers for improving national food security under climate change.

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Doppler Spectrum Estimation in a Low Elevation Weather Radar (저고도 기상 레이다에서의 도플러 스펙트럼 추정)

  • Lee, Jonggil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1492-1499
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    • 2020
  • A weather radar system generally shows the weather phenomena related with rainfall and wind velocity. These systems are usually very helpful to monitor the relatively high altitude weather situation for the wide and long range area. However, since the weather hazards due to the strong hail and heavy rainfall occurring locally are observed frequently in recent days, it is important to detect these wether phenomena. For this purpose, it is necessary to detect the fast varying low altitude weather conditions. In this environment, the effect of surface clutter is more evident and the antenna dwell time is much shorter. Therefore, the conventional Doppler spectrum estimation method may cause serious problems. In this paper, the AR(autoregressive) Doppler spectrum estimation methods were applied to solve these problems and the results were analyzed. Applied methods show that improved Doppler spectra can be obtained comparing with the conventional FFT(Fast Fourier Transform) method.

Optimization of Fractionation Conditions for Natural Organic Matter in Water by DAX-8 Resin and its Application to Environmental Samples (DAX-8 레진의 수중 자연유기물의 분획조건 최적화 및 환경시료에의 적용)

  • Lim, Hyebin;Hur, Jin;Kim, Joowon;Shin, Hyunsang
    • Journal of Korean Society on Water Environment
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    • v.38 no.3
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    • pp.133-142
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    • 2022
  • Natural organic matter (NOM) is a heterogeneous mixture of organic matter with various polarities and molecular weights in an aquatic environment. This study investigated the effects of separation conditions (resin volume, organic matter, etc.) and the repeated use of the resin for the fractionation of organic components in the DAX resin fractionation method. The distribution characteristics of the organic components ((hydrophilic [Hi], hydrophobic acid [HoA], and hydrophobic neutral [HoN]) under the derived fractionation conditions were also analyzed. Constant fractionation results (i.e. HoA/Hi ratio) were obtained in the column capacity factor (i.e. the packed resin volume) in the range of 50 to 100. The resin-packed column maintained constant separation efficiency for up to two repeated uses. The above conditions were applied to wastewater and stream water samples (before and after rainfall). The results showed that the concentration of organic matter in the wastewater effluent was 2-15 times lower with an increased ratio of hydrophilicity to hydrophobicity (i.e. Ho/Hi) compared to the influent depending on the industrial wastewater classification. Particularly, HoN was found to have a high content distribution, 10.2-50.4% of the total dissolved organic matter (DOM), in the effluents. For the stream water, the content of Hi or HoN increased significantly after rainfall, suggesting a correlation with the distribution characteristics of pollutants from the stream watershed. The results provide useful data to enhance the reliability of the DAX resin fractionation and its application to environmental samples.