• Title/Summary/Keyword: rainfall trend

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Analysis of Stability and Behavior of Slope with Solar Power Facilities Considering Seepage of Rainfall (태양광 발전시설이 설치된 사면의 강우시 침투를 고려한 안정성 및 거동 분석)

  • Yu, Jeong-Yeon;Lee, Dong-Gun;Song, Ki-Il
    • Journal of the Korean Geotechnical Society
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    • v.39 no.7
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    • pp.57-67
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    • 2023
  • Slope failures during rainfall have been observed in mountainous areas of South Korea as a result of the presence of solar power facilities. The seepage behavior and pore pressure distribution differ from typical slopes due to the presence of impermeable solar panels, and the load imposed by the solar power structures also affects the slope behavior. This study aims to develop a method for evaluating the stability of slopes with solar power facilities and to analyze vulnerable points by considering the maximum slope displacement. To assess the slope stability and predict behavior while considering rainfall seepage, a combined seepage analysis and finite difference method numerical analysis were employed. For the selected site, various variables were assumed, including parameters related to the Soil Water Characteristic Curve, strength parameters that satisfy the Mohr-Coulomb failure criterion, soil properties, and topographic factors such as slope angle and bedrock depth. The factors with the most significant influence on the factor of safety (FOS) were identified. The presence of solar power facilities was found to affect the seepage distribution and FOS, resulting in a decreasing trend due to rainfall seepage. The maximum displacement points were concentrated near the upper (crest) and lower (toe) sections of the slope.

Analysis of Impact Climate Change on Extreme Rainfall Using B2 Climate Change Scenario and Extreme Indices (B2 기후변화시나리오와 극한지수를 이용한 기후변화가 극한 강우 발생에 미치는 영향분석)

  • Kim, Bo Kyung;Kim, Byung Sik
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1B
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    • pp.23-33
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    • 2009
  • Climate change, abnormal weather, and unprecedented extreme weather events have appeared globally. Interest in their size, frequency, and changes in spatial distribution has been heightened. However, the events do not display regional or regular patterns or cycles. Therefore, it is difficult to carry out quantified evaluation of their frequency and tendency. For more objective evaluation of extreme weather events, this study proposed a rainfall extreme weather index (STARDEX, 2005). To compare the present and future spatio-temporal distribution of extreme weather events, each index was calculated from the past data collected from 66 observation points nationwide operated by Korea Meteorological Administration (KMA). Tendencies up to now have been analyzed. Then, using SRES B2 scenario and 2045s (2031-2050) data from YONU CGCM simulation were used to compute differences among each of future extreme weather event indices and their tendencies were spatially expressed.The results shows increased rainfall tendency in the East-West inland direction during the summer. In autumn, rainfall tendency increased in some parts of Gangwon-do and the south coast. In the meanwhile, the analysis of the duration of prolonged dry period, which can be contrasted with the occurrence of rainfall or its concentration, showed that the dryness tendency was more pronounced in autumn rather than summer. Geographically, the tendency was more remarkable in Jeju-do and areas near coastal areas.

Effect of Rainfall During the Blossom Infection Risk Period on the Outbreak of Fire Blight Disease in Chungnam province (꽃감염 위험기간 중의 강우가 충남지역 과수 화상병 발병에 미치는 영향)

  • Byungryun Kim;Yun-Jeong Kim;Mi-Kyung Won;Jung-Il Ju;Jun Myoung Yu;Yong-Hwan Lee
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.4
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    • pp.302-310
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    • 2023
  • In this study, the extent of the impact of rainfall on the outbreak of fire blight during the blossom infection risk period was explored. In the Chungnam province, the outbreak of fire blight disease began in 2015, and changes in the outbreak's scale were most pronounced between 2020 and 2022, significantly escalating from 63 orchards in 2020 to 170 orchards in 2021, before decreasing to 46 orchards in 2022. In 2022, the number of incidence has decreased and the number of canker symptom in branches has also decreased. It was evaluated that the significant decrease of fire blight disease in 2022 was due to the dry weather during the flowering season. In other words, this yearly fluctuation in fire blight outbreaks was correlated with the presence or absence of rainfall and accumulated precipitation during the blossom infection risk period. This trend was observed across all surveyed regions where apples and pears were cultivated. Among the weather conditions influencing the blossom infection risk period, rainfall notably affected the activation of pathogens from over-wintering cankers and flower infections. In particular, precipitation during the initial 3 days of the blossom infection risk warning was confirmed as a decisive factor in determining the outbreak's scale.

Dendroclimatological Investigation of High Altitude Himalayan Conifers and Tropical Teak In India

  • Borgaonkar, H.P.;Sikder, A.B.;Ram, Somaru;Kumar, K. Rupa;Pant, G.B.
    • The Korean Journal of Quaternary Research
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    • v.21 no.1
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    • pp.15-26
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    • 2007
  • A wide tree-ring data network from Western Himalayan region as well as from Central and Peninsular India have been established by the Indian Institute of Tropical Meteorology (IITM), Pune, India. This includes several ring width and density chronologies of Himalayan conifers (Pinus, Picea, Cedrus, Abies)covering entire area of Western Himalaya and teak (Tectona grandis L.F.) from central and peninsular India. Many of these chronologies go back to $15^{th}$ century. Tree-ring based reconstructed pre-monsoon (March-April-May) summer climate of Western Himalaya do not show any significant increasing or decreasing trend since past several centuries. High altitude tree-ring chronologies near tree line-glacier boundary are sensitive to the winter temperature. Unprecedented higher growth in recent decades is closely associated with the warming trend over the Himalayan region. Dendroclimatic analysis of teak (Tectona grandis) from Central and Peninsular India show significant relationship with pre-monsoon and monsoon climate. Moisture index over the region indicates strong association with tree-ring variations rather than the direct influence of rainfall. It is evident that, two to three consecutive good monsoon years are capable of maintaining normal or above normal tree growth, even though the following year is low precipitation year.

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Analysis of First Flushing Effects and EMCs of Non-point Pollutants from Impervious Area during Rainfall (강우시 불투수성 지역의 비점오염물질 EMCs 산정 및 초기세척효과 분석)

  • Ahn, Tae-Woong;Kim, Tae-Hoon;Oh, Jong-Min
    • Korean Journal of Ecology and Environment
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    • v.45 no.4
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    • pp.459-473
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    • 2012
  • This study evaluated the rainfall-runoff characteristics of Non-point Pollution Source (NPS) of the impervious area through on-site monitoring. In this study, trend analysis was performed by various runoff analysis method of non-point pollution source. The characteristics of rainfall at impervious area appeared to be influenced by rainfall strength. It is judged that the measure is required to be prepared against that now that concentration difference of non-point pollution source appeared to be big by precedent number of days of no rainfall. However, it appeared that Rainfall Sustaining Time (RST) has nothing to do with effluent concentration of non-point pollution source, however, the rising tendency that effluent concentration did not appear because the tendency that concentration of non-point pollution source reduces more than 50% within initial 60 min due to first flushing effects and rainfall sustaining time is long. If looking into the outflow tendency of non-point pollution source at the impervious area, it showed the tendency that the concentration lowers gradually as time goes by after initial concentration appeared very high. However, it could be recognized that the concentration of non-point pollution source appeared to be high as the pollutants integrated on the surface of the road during dry season. The Event Mean Concentrations (EMCs) in impervious area were ranged $9.2{\sim}199.3mg{\cdot}L^{-1}$ for TSS, $8.1{\sim}24.2mg{\cdot}L^{-1}$ for $COD_{Mn}$, $0.070{\sim}1.860mg{\cdot}L^{-1}$ for T-N. Based on such runoff characteristics of non-point pollution source, it is judged that it would be desirable to process initial rain efficiently as the measure against initial rain phenomenon at the impervious area.

The Characteristics of Disaster by Track of Typhoon Affecting the Korean Peninsula (한반도 영향 태풍의 이동경로에 따른 재해 특성)

  • Ahn, Suk-Hee;Kim, Baek-Jo;Lee, Seong-Lo;Kim, Ho-Kyung
    • Journal of the Korean Society of Hazard Mitigation
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    • v.8 no.3
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    • pp.29-36
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    • 2008
  • The purpose of this study is to examine the characteristics of disaster associated with typhoon passed through the sea areas excluding the South Sea around the Korean Peninsula. First, Korean peninsula-affecting typhoons were divided into their track patterns of passing through the Korean West Sea and East Sea based on typhoon data from 1951 to 2006 provided by Regional Specialized Meteorological Center(RSMC)-Tokyo. Then, annual and monthly frequency and intensity of typhoon in each pattern was examined. In particular, typhoon related damages during the period of 1973 to 2006 were analyzed in each case. Results showed that since early 1970, in the West Sea case, typhoon becomes weaker without significant change in frequency, while in the East Sea case, it becomes stronger with an increasing trend. It is also found that the high amount of typhoon damage results from the submergence of houses and farmlands in the East Sea case, while it is due to the breakdown of houses, ships, roads and bridges in the West Sea case. In addition, it is revealed from the analysis of rainfall and maximum wind speed data associated with typhoon disasters that the main cause of occurring typhoon disasters seem to be qualitatively related to strong wind in the West Sea case and heavy rainfall in the East Sea case.

Characteristics and Assessment of Metal Pollution and their Potential Source in Stormwater Runoff from Shihwa Industrial Complex, Korea (시화산업단지 강우유출수 내 중금속 오염도 평가 및 오염원 추적 연구)

  • Lee, Jihyun;Jeong, Hyeryeong;Choi, Jin-Young;Ra, Kongtae
    • Korean Journal of Ecology and Environment
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    • v.53 no.1
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    • pp.91-101
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    • 2020
  • Stormwater runoff is known as a major non-point water pollution source that transports heavy metals, which have accumulated in road surface, to stream and coastal area. Dissolved and particulate metals in stormwater runoffs have been investigated to understand the outflow characteristics of heavy metals during rainfall events and to identify their pollution sources. The concentration of dissolved Co and Ni decreased after the outflow with high concentrations at the beginning of the rainfall, and other metals showed different characteristics depending on the rainfall and rate of discharge. Particulate metals showed a similar trend with the temporal variation of suspended solids concentration in stormwater runoffs. The results of geo-accumulation index (Igeo) indicated that the stormwater runoffs from industrial region were very highly polluted with Cu, Zn and Cd. As a result of comparing the metal concentrations of <125 ㎛ for road dust near the study area, Cu, Zn and Cd were originated from inside of metal manufacturing facilities rather than traffic activities at road surface and these metals accumulated on the surface area of facilities were transported to the water environments during stormwater event. The average discharged amounts of heavy metals for one rainfall event were Cr 128 g, Co 12.35 g, Ni 98.5 g, Cu 607.5 g, Zn 8,429.5 g, As 6.95 g, Cd 3.7 g, Pb 251.75 g, indicating that metal runoff loads in the stormwater runoffs are closely related to surrounding industry types.

Developing Extreme Drought Scenarios for Seoul based on the Long Term Precipitation Including Paleoclimatic Data (고기후 자료를 포함한 장기연속 강수자료에 의한 서울지역의 극한가뭄 시나리오 개발)

  • Jang, Ho-Won;Cho, Hyeong-Won;Kim, Tae-Woong;Lee, Joo-Heon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.4
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    • pp.659-668
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    • 2017
  • In this study, long-term rainfall data of more than 300 years including the paleoclimatic rainfall data from Chuk Woo Kee (1777-1907), the modern observed rainfall data (1908-2015), and the climate change scenario (2016-2099), which were provided by KMA (Korea Meteorological Agency), was used to analyze the statistical characteristics of the extreme drought in the Seoul., Annual average rainfall showed an increasing trend over a entire period, and Wavelet transform analysis of SPI (Standardized Precipitation Index) which is meteorological drought index, showed 64 to 80 months (5-6 Year) of drought periods for Chuk Woo Kee and KMA data, 96 to 128 months (8 to 10 years) of drought period for climate change data. The dry spell analysis showed that the drought occurrence frequency in the ancient period was high, but frequency was gradually decreased in the modern and future periods. In addition, through the analysis of the drought magnitude, 1901 was the extreme drought year in Seoul, and 1899-1907 was the worst consecutive 9 years long term drought in Seoul.

Long-term Variations of Water Quality Parameters in Lake Kyoungpo (경포호에서 수질변수들의 장기적인 변화)

  • Kwak, Sungjin;Bhattrai, Bal Dev;Choi, Kwansoon;Heo, Woomyung
    • Korean Journal of Ecology and Environment
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    • v.48 no.2
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    • pp.95-107
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    • 2015
  • In order to identify long-term trends of water quality parameters in Lake Kyeongpo, Mann-Kendall test, Sen's slope estimator and linear regression were applied on data, with 15 parameters from three different sites and rainfall, monitored once in every two months from March to November during 1998~2013. Seasonal variation analysis only used Mann-Kendall test and Sen's slope estimator. Analysis result showed that salinity, transparency and nutrient variables (total phosphorus, dissolved inorganic phosphorus, total nitrogen, nitrate nitrogen, ammonia nitrogen) were only parameters having statistically significant trend. In linear regression analysis, salinity (surface and bottom layer of all sites) and transparency (only at site 1), were figured out with statistically significant increasing trend, while in non-parametric statistical method, salinity and transparency in all sites (surface, middle, deep) were figured out with statistically significant increasing trend. Water quality parameters showing statistically significant decreasing trends were dissolved oxygen (surface layer of site 1 and bottom layer of sites 2 and 3), total phosphorus (sites 1 and 2), dissolved inorganic phosphorus, total nitrogen, nitrate nitrogen and ammonia nitrogen in the linear regression analysis and, dissolved oxygen (bottom layer of all sites), total phosphorus, dissolved inorganic phosphorus, total nitrogen, nitrate nitrogen and ammonia nitrogen in the non-parametric method. Seasonal trend analysis result showed that salinity, turbidity, transparency and suspended solids in spring, salinity, transparency, nitrate nitrogen and suspended solids in summer and temperature, salinity, transparency and suspended solids in fall were the variables depending on the season with increasing trends. In general, rainfall during the research period showed decreasing trend. The significant reduction trends of nutrients in Lake Kyeongpo were believed to be related to lagoon restoration and water management project run by Gangneung city and under-water wear removal, but further detailed studies are needed to know the exact causes.

Trend Analysis of Rainfall Data Using Stochastic Time Series Models (추계학적 모의발생기법을 이용한 강우자료의 경향성 분석)

  • Seo, Lynn;Kim, Tae-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.1282-1286
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    • 2009
  • 최근에 빈번하게 발생하는 집중호우로는 강우자료의 경향성에 영향을 주고 있다. 하지만, 우리나라의 강우관측기록이 충분하지 못하여 통계학적 경향성 분석은 유의한 결과를 보여주고 있지 않아, 확률강우량 산정시 강우자료가 정상성을 지니고 있다고 가정하여 빈도분석을 실시하고 있다. 본 연구에서는 경향성이 나타나지 않는 강우관측소 49개지점중 4개의 지점을 선정하여 향후 경향성 여부를 분석하였다. 이들 관측자료가 가지는 경향성을 유지하면서 추계학적 시계열 모의발생기법을 이용하여 강우자료를 발생시킨 후 경향성 검정을 실시하였다. 이를 위하여 Regression model, ARMA model을 이용하여 강우자료를 발생시켰으며, 발생된 강우자료는 Mann-Kendall test, Hotelling-Pabst test, Wald-Wolfowitz test를 사용하였다. 그 결과 거의 모든 지점에서 가까운 미래에 경향성을 갖게 될 것임을 알 수 있었다.

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