• Title/Summary/Keyword: Rainfall Days

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Real-time Forecasting of Daily Stream Flows (하천 일류출량의 실시간예측)

  • 정항우;이남호;박승우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.32 no.3
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    • pp.47-55
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    • 1990
  • An adaptive algorithm was applied to forecast daily stream flows in real time using rainfall data. A three-component tank model was selected to simulate the flows and its time-variant parameters were self-calibrated with updated data using a parameter optimization scheme, golden section search method. The resulting adaptive model, APTANK, was applied to six watersheds, ranging from 0.47 to 33.62 km$^2$ size and the simulated daily streamflows were compared with the measured. The simulation results were in good agreement with the field data. APTANK is found to be applied to real-time flow simulation purposes such as a tool for irrigation water resources management and operations. The model is particularly good to simulate streamflows on dry days as compared to wet days having runoff-induced precipitation.

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Effect of Period of Record on Probable Rainfall Prediction (강우기록년한이 확률수문량 추정에 미치는 영향에 관한연구)

  • 이근후;한욱동
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.23 no.2
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    • pp.45-53
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    • 1981
  • Long term precipitation gaging station record (58 years) was analyzed by progressive mean method to compare the estimated effective period of records for computing mean and probable values. Obtained results are as follows: 1. Fifty-eight years precipitation records at Jinju, Gyeong Sang Nam Do was analyzed by double mass analysis method. Result was appeared that the record was consistent with time. 2. The effective period of records for estimating mean values with the departure of 5% or less from the true mean are up to 33 years for annual precipitation, 20 years for annual maximum daily precipitation and 45 years for maximum successive dry days in summer season. 3. To estimate the probable values by Gumbel-Chow method within the departure of 5% level from true value, periods of 51 years, 38 years and 45 years were required for annual precipitation, annual maximum daily precipitation and maximum successive dry days in summer season, respectively.

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Characteristics of Flowering and Bolling in Cotton (목화의 개화 및 결삭 특성)

  • 박홍재;김철우;김상곤;정동희
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.38 no.3
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    • pp.201-207
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    • 1993
  • This study was carried out to ascertain the flowering and boiling habits in conditions of vinyl mulched cultivation. The effects of vinyl mulching cultivation in cotton was early flowering. The flowering period was no more than 26 days and shedding of flower bud was lower. The total boll setting rate to flower number was about 38%. The number of flowering plants was rapidly increased until Aug. 8, then later was decreased, the period of the highest flowering occured was for 5 days from Aug. 6 to Aug. 10. Boll setting was increased that the flowers opened before July 30, then the later flowers was tended to decrease belling in spite of the increased flowering. However flower bud shedding had a tendency to decrease after the highest boiling period. The effect of weather, max. temperature and hours of sunshine on flowering days were highly positive significant correlation. Minimum temperatures, high air humidity and amount of rainfall had a negative significant correlation. The demanded days to flowering on the same internode in each fruiting branches was taken average 1.2 days, these days among the fruiting branches of the same internode was 3.6 days.

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A Yield Estimation Model of Forage Rye Based on Climate Data by Locations in South Korea Using General Linear Model

  • Peng, Jing Lun;Kim, Moon Ju;Kim, Byong Wan;Sung, Kyung Il
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.36 no.3
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    • pp.205-214
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    • 2016
  • The objective of this study was to construct a forage rye (FR) dry matter yield (DMY) estimation model based on climate data by locations in South Korea. The data set (n = 549) during 29 years were used. Six optimal climatic variables were selected through stepwise multiple regression analysis with DMY as the response variable. Subsequently, via general linear model, the final model including the six climatic variables and cultivated locations as dummy variables was constructed as follows: DMY = 104.166SGD + 1.454AAT + 147.863MTJ + 59.183PAT150 - 4.693SRF + 45.106SRD - 5230.001 + Location, where SGD was spring growing days, AAT was autumnal accumulated temperature, MTJ was mean temperature in January, PAT150 was period to accumulated temperature 150, SRF was spring rainfall, and SRD was spring rainfall days. The model constructed in this research could explain 24.4 % of the variations in DMY of FR. The homoscedasticity and the assumption that the mean of the residuals were equal to zero was satisfied. The goodness-of-fit of the model was proper based on most scatters of the predicted DMY values fell within the 95% confidence interval.

Loading Rates and Characteristics of Litter from Highway Stormwater Runoff (강우로 인해 고속도로로부터 유출되는 폐기물의 성상, 부하량 및 유출 특성)

  • Kim, Lee-Hyung;Kang, Joohyon
    • Journal of Korean Society on Water Environment
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    • v.20 no.5
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    • pp.415-421
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    • 2004
  • Litter wastes on highway runoff are gradually being considered one of the major pollutants of concern in protecting the integrity of receiving waters for beneficial use. The California State Water Resources Control Board has identified in their 303(d) list at least 36 water bodies where trash or litter is considered a pollutant of concern. The first TMDL adopted by the Region 4 (Los Angeles area) of the California State Water Quality Control Board was for trash in the Los Angeles River. The first flush characteristic study was developed to obtain first flush water quality and litter data from representative stormwater runoff from standard highway drainage outfalls in the Los Angeles area. Total captured gross pollutants in stormwater runoff were monitored at six Southern California highway sites over two years. The gross pollutants were 90% vegetation and 10% litter. Approximately 50% of the litter was composed of biodegradable materials. The event mean concentrations show an increasing trend with antecedent dry days and a decreasing trend with total runoff volume or total rainfall. Event mean concentrations were ranged 0.0021 to 0.259g/L for wet gross pollutants and 0.0001 to 0.027g/L for wet litters. The first flush phenomenon was evaluated and the impacts of various parameters such as rainfall intensity, drainage area, peak flow rate, and antecedent dry period on litter volume and loading rates were evaluated. First flush phenomenon was generally observed for litter concentrations, but was not apparent with litter mass loading rates. Litter volume and loading rates appear to be directly related to peak storm intensity, antecedent dry days and total flow volume.

Analysis of the Secular Trend of the Annual and Monthly Precipitation Amount of South Korea (우리나라 월 및 연강수량의 경년변동 분석)

  • Kim, Gwang-Seob;Yim, Tae-Kyung;Park, Chan-Hee
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.6
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    • pp.17-30
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    • 2009
  • In this study, the existence of possible deterministic longterm trend of precipitation amount, monthly maximum precipitation, rain day, the number of rain day greater than 20mm, 30mm, and 80mm was analyzed using the Mann-Kendall rank test and the data from 62 stations between 1905 and 2004 in South Korea. Results indicate that the annual and monthly rainfall amount increases and the number of rain days which have more than 80mm rainfall a day, increases. However the number of rain days decreases. Also, monthly trend analysis of precipitation amount and monthly maximum precipitation increases in Jan., May, Jun., Jul., Aug., and Sep. and they decrease in Mar., Apr., Oct., Nov., and Dec. Monthly trend of the number of rain day greater than 20mm, 30mm, and 80mm increases in Jun., Jul., Aug., and Sep. However results of Mann-Kedall test demonstrated that the ratio of stations, which have meaningful longterm trend in the significance level of 90% and 95%, is very low. It means that the random variability of the analyzed precipitation related data is much greater than their linear increment.

Assessment of microclimate conditions under artificial shades in a ginseng field

  • Lee, Kyu Jong;Lee, Byun-Woo;Kang, Je Yong;Lee, Dong Yun;Jang, Soo Won;Kim, Kwang Soo
    • Journal of Ginseng Research
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    • v.40 no.1
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    • pp.90-96
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    • 2016
  • Background: Knowledge on microclimate conditions under artificial shades in a ginseng field would facilitate climate-aware management of ginseng production. Methods: Weather data were measured under the shade and outside the shade at two fields located in Gochang-gun and Jeongeup-si, Korea, in 2011 and 2012 seasons to assess temperature and humidity conditions under the shade. An empirical approach was developed and validated for the estimation of leaf wetness duration (LWD) using weather measurements outside the shade as inputs to the model. Results: Air temperature and relative humidity were similar between under the shade and outside the shade. For example, temperature conditions favorable for ginseng growth, e.g., between $8^{\circ}C$ and $27^{\circ}C$, occurred slightly less frequently in hours during night times under the shade (91%) than outside (92%). Humidity conditions favorable for development of a foliar disease, e.g., relative humidity > 70%, occurred slightly more frequently under the shade (84%) than outside (82%). Effectiveness of correction schemes to an empirical LWD model differed by rainfall conditions for the estimation of LWD under the shade using weather measurements outside the shade as inputs to the model. During dew eligible days, a correction scheme to an empirical LWD model was slightly effective (10%) in reducing estimation errors under the shade. However, another correction approach during rainfall eligible days reduced errors of LWD estimation by 17%. Conclusion: Weather measurements outside the shade and LWD estimates derived from these measurements would be useful as inputs for decision support systems to predict ginseng growth and disease development.

Recent Spatial and Temporal Changes in Means and Extreme Events of Temperature and Precipitation across the Republic of Korea (최근 우리나라 기온 및 강수 평균과 극한 사상의 시.공간적 변화)

  • Choi, Gwang-Yong;Kwon, Won-Tae;Boo, Kyung-On;Cha, Yu-Mi
    • Journal of the Korean Geographical Society
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    • v.43 no.5
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    • pp.681-700
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    • 2008
  • In this study, the spatial and temporal patterns of changes in means and extreme events of temperature and precipitation across the Republic of Korea over the last 35 years (1973-2007) are examined. Over the study period, meteorological winter (December-February) mean minimum (maximum) temperature has increased by $+0.54^{\circ}C$/decade ($+0.6^{\circ}C$/decade), while there have been no significant changes in meteorological summer (June-August) mean temperatures. According to analyses of upper or lower $10^{th}$ percentile-based extreme temperature indices, the annual frequency of cool nights (days) has decreased by -9.2 days/decade (-3.3 days/decade), while the annual frequency of warm nights (days) has increased by +4.9 days/decade (+6.8 days/decade). In contrast, the increase rates of summer warm nights (+8.0 days/$^{\circ}C$) and days (+6.6 days/$^{\circ}C$) relative to changes in summer means minimum and maximum temperatures means are greater than the decreasing rates of winter nights (-5.2 days/$^{\circ}C$) and days (-4.3 days/$^{\circ}C$) relative to changes in winter temperatures. These results demonstrate that seasonal and diurnal asymmetric changes in extreme temperature events have occurred. Moreover, annual total precipitation has increased by 85.5 mm/decade particularly in July and August, which led to the shift of a bimodal behavior of summer precipitation into a multi-modal structure. These changes have resulted from the intensification of heavy rainfall events above 40mm in recent decades, and spatially the statistically-significant increases in these heavy rainfall events are observed around the Taebaek mountain region.

An Evaluation of Moisture Susceptibility on Asphalt Mixtures by Rainfall Intensity (강우강도에 따른 아스팔트 혼합물 종류의 수분민감도 평가)

  • Jung, Jong Suk;Kim, Yong Rak;Lee, Sang Hyeog;Kim, hyo Jin
    • International Journal of Highway Engineering
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    • v.16 no.5
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    • pp.29-38
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    • 2014
  • PURPOSES : The purpose of this study is to evaluate moisture susceptibility of a dense graded and an open graded asphalt mixtures by the method of AASHTO T-283. METHODS : To simulate moisture damage of asphalt pavements with continuously rainfall during summer rainy season, the dense graded and the open graded asphalt mixtures were immersed in water for 15 days and were measured the weight and the change of strength. Also, the mixtures were performed five freeze-thaw cycles to simulate moisture damage of the mixtures by freeze-thaw during winter and were measured the change of strength. The degradation characteristics model was used to analyze the relationship between strength and moisture damage. RESULTS : According to the results, the dense graded and the open graded asphalt mixtures were shown in the similar trends of the strength changes by immersion time and freeze-thaw cycle. However, the moisture damage reduction of open graded asphalt mixture was more sensitive in early phase than that of dense graded asphalt mixture.

A Field Study to Evaluate Greenroof Runoff Reduction and Delay (옥상녹화의 우수유출량 저감효과에 관한 연구 -토심 및 식생유무를 중심으로-)

  • Lee, Dong-Kun;Oh, Seung-Hwan;Yoon, So-Won;Jang, Seong-Wan
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.9 no.6
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    • pp.117-122
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    • 2006
  • The objective of this study is to analyze the greenroof runoff quantity and delay. The experimental districts, have different soil thickness and vegetation, had installed. A measurement was conducted in Seoul University to investigate the runoff quantity and delay of the greenroof. The measurement point of runoff quality data were 8, located next to each experimental district. Also, the precipitation was measured by rain gauges(# RG2). The experimental investigation lasted from 21th July to 4th December, a total of 137 days. The results showed that the greenroof can contribute runoff retention and delay by soil, but the intensity of actual rain event affected the runoff reduction and delay. Overall, when was the rainy season, percent rainfall retention ranged 17.5% and runoff flow was delayed for 1-3 hours. But on the other hand, when was the typical rain event, percent rainfall retention ranged over 90% and runoff flow was delayed for 1-11 hours. In the result, the greenroof had the greatest runoff retention and delay, while for the typical rain event.