• Title/Summary/Keyword: precipitation patterns

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Tropical cyclone activity over the western North Pacific associated with Pacific-Japan teleconnection pattern and its impacts on extreme events over the Korean peninsula

  • Kim, Jong-Suk;Zhou, Wen;Li, Cheuk-Yin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.38-38
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    • 2012
  • The East Asia (EA) region including China, Taiwan, Japan, and Korea are especially vulnerable to hydrometerological extremes during the boreal summer (June-September). This study, therefore, pursued an exploratory analysis to improve better understanding of the potential impacts of the two types of PJ patterns on WNP Tropical cyclone (TC) activities and TC-induced extreme moisture fluxes over Korea's five major river basins. This study shows that during positive PJ years, the large-scale atmospheric environments are more favorable for the TC activities than those in negative PJ years. During positive PJ year, it is found that there are weaker wind shear, stronger rising motion, as well as large relative humidity over the Korean peninsula (KP) compared to negative PJ years. As a result, TCs making landfall are more exhibited over the southeastern portions of South Korea. Despite the relatively modest sample size, we expect that insights and results presented here will be useful for developing a critical support system for the effective reduction and mitigation of TC-caused disasters, as well as for water supply management in coupled human and natural systems.

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A Study on the Method of Urban Planning for Adaptation to Climate Change (기후변화 적응을 위한 도시계획 방안 연구)

  • Lee, Sung Hee;Kim, Jong Kon
    • Journal of Climate Change Research
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    • v.5 no.3
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    • pp.257-266
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    • 2014
  • This study aims to understand abnormal climate caused by impacts of climate change and to suggest the direction of urban planning focusing on adaptation to climate change. The study consists of theory consideration and case study(Chicago, Philadelphia, Seattle). As a result, the main impacts of climate change faced by urban areas are heat wave, precipitation, and drought. To prevent these impacts, it is important to prepare methods of urban planning as followings: planning for land use, park and green considering the climate patterns, establishing and managing water resources systems similar to the nature, securing renewable energy resources, and transportation facilities and exterior space with proof against climate. It is especially necessary to introduce infrastructures related to storm water, green roof, shading tree planting, green space, and permeable pavement. Finally, in order to realize urban planning for adaptation to climate change, it is needed to make the detailed and specific goal and strategy for the climate change adaptation plan and to extend the scope from the goals to an action plan, a detailed plan, and a design guideline.

Dust and sandstorm: ecosystem perspectives on dryland hazards in Northeast Asia: a review

  • Kang, Sinkyu;Lee, Sang Hun;Cho, Nanghyun;Aggossou, Casmir;Chun, Jungwha
    • Journal of Ecology and Environment
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    • v.45 no.4
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    • pp.228-236
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    • 2021
  • Background: A review of the literature was carried out to study dust and sandstorm (DSS) in terms of its ecosystem processes and relationship to other dryland disasters in Northeast Asia. Drylands are ecosystems that include grasslands, semi-deserts, and deserts, and these types of ecosystems are vulnerable due to their low primary productivity that depends on a small amount of precipitation. Results: Drought, dust, desertification, and winter livestock disasters (called dzud) are unique natural disasters that affect the region. These disasters are related in that they share major causes, such as dryness and low vegetation cover that combine with other conditions, wind, cold waves, livestock, and land-surface energy, to dramatically impact the ecosystem. Conclusions: The literature review in this study illustrates the macroscopic context of the spatial and temporal patterns of DSS according to geography, climate, and vegetation growth in the drylands of Northeast Asia. The effects of ocean climates and human activities were discussed to infer a possible teleconnection effect of DSS and its relations to desertification and dzud.

Forecasting of Drought Based on Satellite Precipitation and Atmospheric Patterns Using Deep Learning Model (딥러닝 모델을 활용한 위성강수와 대기패턴 기반의 가뭄 예측)

  • Seung-Yeon Lee;Seok-Jae Hong;Seo-Yeon Park;Joo-Heon Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.336-336
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    • 2023
  • 가뭄은 가장 심각한 기상 재해 중 하나로 농업 생산, 사회경제 등 다양한 분야에 영향을 미친다. 국내의 경우 광주·전남지역이 1990년대 이후 30년 만에 제한 급수 위기에 처하는 역대 최악의 가뭄으로 지역민들은 심각한 피해가 발생하였다. 유럽의 경우 2022년 당시 500년 만에 찾아온 가뭄으로 인해 3분의 2에 해당하는 지역이 피해를 입었으며, 미국 서부 지역은 2000년부터 2021년까지 1200년 만에 가장 극심한 대가뭄을 겪은 것으로 나타났다. 지구온난화에 따른 기후변화로 인해 가뭄의 빈도와 강도가 증가함에 따라 피해도 커질 것으로 예상된다. 가뭄의 부정적인 영향으로 인해 정확하고 신뢰할 수 있는 가뭄 예측 기술이 필요하다. 본 연구에서는 가뭄예측을 위한 입력변수로서 GPM IMERG (The Integrated Multi-satellitE Retrievals for GPM) 강수량 자료와 NOAA에서 제공하는 8가지 북반구 대기패턴 자료 간의 상관성을 분석하였다. 입력변수 간의 상관성과 중장기 가뭄 예측을 위하여 딥러닝 모델 중 시계열 데이터에서 높은 예측 성능을 보이는 LSTM(Long Short Term-Memory)을 적용하여 가뭄을 예측하고자 한다.

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Forecasting of Drought Based on Satellite Precipitation and Atmospheric Patterns Using Deep Learning Model (딥러닝 모델을 활용한 위성강수와 대기패턴 기반의 가뭄 예측)

  • Seung-Yeon Lee;Seok-Jae Hong;Seo-Yeon Park;Joo-Heon Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.337-337
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    • 2023
  • 가뭄은 가장 심각한 기상 재해 중 하나로 농업 생산, 사회경제 등 다양한 분야에 영향을 미친다. 국내의 경우 광주·전남지역이 1990년대 이후 30년 만에 제한 급수 위기에 처하는 역대 최악의 가뭄으로 지역민들은 심각한 피해가 발생하였다. 유럽의 경우 2022년 당시 500년 만에 찾아온 가뭄으로 인해 3분의 2에 해당하는 지역이 피해를 입었으며, 미국 서부 지역은 2000년부터 2021년까지 1200년 만에 가장 극심한 대가뭄을 겪은 것으로 나타났다. 지구온난화에 따른 기후변화로 인해 가뭄의 빈도와 강도가 증가함에 따라 피해도 커질 것으로 예상된다. 가뭄의 부정적인 영향으로 인해 정확하고 신뢰할 수 있는 가뭄 예측 기술이 필요하다. 본 연구에서는 가뭄예측을 위한 입력변수로서 GPM IMERG (The Integrated Multi-satellitE Retrievals for GPM) 강수량 자료와 NOAA에서 제공하는 8가지 북반구 대기패턴 자료 간의 상관성을 분석하였다. 입력변수 간의 상관성과 중장기 가뭄 예측을 위하여 딥러닝 모델 중 시계열 데이터에서 높은 예측 성능을 보이는 LSTM(Long Short Term-Memory)을 적용하여 가뭄을 예측하고자 한다.

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Integrated Flood Risk Management through Modelling of Nature Based Solutions

  • Bastola, Shiksha;Kareem, Kola Yusuff;Park, Kiddo;Jung, Younghun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.160-160
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    • 2022
  • Floods are the most common natural disasters and are annually causing severe destructions worldwide. Human activities, along with expected increased extreme precipitation patterns as a result of climate change enhance the future potential of floods. There are proven evidence that infrastructure based responses to flood disaster is no longer achieving optimum mitigation and have created a false sense of security. Nature-based solutions(NBS) is a widely accepted sustainable and efficient approach for disaster risk reduction and involves the protection, restoration, or management of natural and semi-natural ecosystems to tackle the climate and natural crisis. Adoption of NBS in decision-making, especially in developing nations is limited due to a lack of sufficient scenario-based studies, research, and technical knowledge. This study explores the knowledge gap and challenges on NBS adoption with case study of developing nation, specially for flood management, by the study of multiple scenario analysis in the context of climate, land-use change, and policies. Identification and quantification of the strength of natural ecosystems for flood resilience and water management can help to prioritize NBS in policymaking leading to sustainable measures for integrated flood management.

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Influence of climate change on crop water requirements to improve water management and maize crop productivity

  • Adeola, Adeyemi Khalid;Adelodun, Bashir;Odey, Golden;Choi, Kyung Sook
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.126-126
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    • 2022
  • Climate change has continued to impact meteorological factors like rainfall in many countries including Nigeria. Thus, altering the rainfall patterns which subsequently affect the crop yield. Maize is an important cereal grown in northern Nigeria, along with sorghum, rice, and millet. Due to the challenge of water scarcity during the dry season, it has become critical to design appropriate strategies for planning, developing, and management of the limited available water resources to increase the maize yield. This study, therefore, determines the quantity of water required to produce maize from planting to harvesting and the impact of drought on maize during different growth stages in the region. Rainfall data from six rain gauge stations for a period of 36 years (1979-2014) was considered for the analysis. The standardized precipitation and evapotranspiration index (SPEI) is used to evaluate the severity of drought. Using the CROPWAT model, the evapotranspiration was calculated using the Penman-Monteith method, while the crop water requirements (CWRs) and irrigation scheduling for the maize crop was also determined. Irrigation was considered for 100% of critical soil moisture loss. At different phases of maize crop growth, the model predicted daily and monthly crop water requirements. The crop water requirement was found to be 319.0 mm and the irrigation requirement was 15.5 mm. The CROPWAT 8.0 model adequately estimated the yield reduction caused by water stress and climatic impacts, which makes this model appropriate for determining the crop water requirements, irrigation planning, and management.

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Analyzing the Impact of Weather Conditions on Beer Sales: Insights for Market Strategy and Inventory Management

  • Sangwoo LEE;Sang Hyeon LEE
    • Asian Journal of Business Environment
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    • v.14 no.3
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    • pp.1-11
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    • 2024
  • Purpose: This study analyzes the impact of weather conditions, holidays, and sporting events on beer sales, providing insights for market strategy and inventory management in the beer industry. Research design, data and methodology: Beer types were classified into Lagers and Ales, with further subcategories. The study utilized weekly retail sales data from January 2018 to August 2020, provided by Nielsen Korea. An ARMAX model was employed for time-series analysis. Results: The analysis revealed that increasing temperatures positively influence sales of Pilsners and Pale Lagers. Conversely, higher precipitation levels negatively affect overall Lager sales. Among Ales, only Stout sales showed a significant decrease with increased rainfall. Sunshine duration did not significantly impact sales for any beer type. Humidity generally had little effect on beer sales, with the exception of Amber Lagers, which showed sensitivity to humidity changes. Holidays and sporting events were found to significantly boost sales across most beer types, although the specific impacts varied by beer category. Conclusions: This study offers a detailed analysis of how weather conditions and specific events influence different beer type sales. The findings provide valuable insights for breweries, beer processors, and retailers to optimize their market strategies and inventory management based on weather forecasts and seasonal events. By understanding the consumption patterns of each beer type in relation to environmental factors, businesses can better anticipate demand fluctuations and tailor their operations accordingly.

Changes in Meteorological Variables by SO2 Emissions over East Asia using a Linux-based U.K. Earth System Model (리눅스 기반 U.K. 지구시스템모형을 이용한 동아시아 SO2 배출에 따른 기상장 변화)

  • Youn, Daeok;Song, Hyunggyu;Lee, Johan
    • Journal of the Korean earth science society
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    • v.43 no.1
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    • pp.60-76
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    • 2022
  • This study presents a software full setup and the following test execution times in a Linux cluster for the United Kingdom Earth System Model (UKESM) and then compares the model results from control and experimental simulations of the UKESM relative to various observations. Despite its low resolution, the latest version of the UKESM can simulate tropospheric chemistry-aerosol processes and the stratospheric ozone chemistry using the United Kingdom Chemistry and Aerosol (UKCA) module. The UKESM with UKCA (UKESM-UKCA) can treat atmospheric chemistryaerosol-cloud-radiation interactions throughout the whole atmosphere. In addition to the control UKESM run with the default CMIP5 SO2 emission dataset, an experimental run was conducted to evaluate the aerosol effects on meteorology by changing atmospheric SO2 loading with the newest REAS data over East Asia. The simulation period of the two model runs was 28 years, from January 1, 1982 to December 31, 2009. Spatial distributions of monthly mean aerosol optical depth, 2-m temperature, and precipitation intensity from model simulations and observations over East Asia were compared. The spatial patterns of surface temperature and precipitation from the two model simulations were generally in reasonable agreement with the observations. The simulated ozone concentration and total column ozone also agreed reasonably with the ERA5 reanalyzed one. Comparisons of spatial patterns and linear trends led to the conclusion that the model simulation with the newest SO2 emission dataset over East Asia showed better temporal changes in temperature and precipitation over the western Pacific and inland China. Our results are in line with previous finding that SO2 emissions over East Asia are an important factor for the atmospheric environment and climate change. This study confirms that the UKESM can be installed and operated in a Linux cluster-computing environment. Thus, researchers in various fields would have better access to the UKESM, which can handle the carbon cycle and atmospheric environment on Earth with interactions between the atmosphere, ocean, sea ice, and land.

Geochemical and Isotopic Study of the Kumho River (금호강 하천수의 지구화학 및 동위원소 연구)

  • Kim, Yeong-Kyoo;Nam, Eun-Kyung
    • Economic and Environmental Geology
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    • v.42 no.6
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    • pp.527-539
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    • 2009
  • The Kumho River flows through volcanic and sedimentary rocks at upstream and downstream regions and also through industrial district including dyeing complex before it meets the Nakdong River, and as a result, many factors can influence the geochemistry of river water. The concentrations of dissolved ions generally increased as it flows downstream. The concentrations of cations are in the order of Ca>Na>Mg>K, and those of anions are $HCO_3$>$SO_4$>Cl>$NO_3$. These results show that the weathering of sandstone and shale containing carbonate including calcite caused the enrichment of Ca and $HCO_3$. At first 4 sampling sites, Si contents are relatively high mainly due to the weathering of silicate minerals of volcanic rocks. However, Na and $SO_4$ contents are higher at downstream sites due to the industrial and municipal sewage. Piper diagram also shows that the geochemical patterns changed from Ca-$HCO_3$ to Ca-Cl/Ca-$SO_4$ and Na-Cl/Na-$SO_4$ type. When comparing the samples collected in May and July, the concentrations of dissolved ions in July are generally lower than those in May, which indicates that dilution by precipitation played an important role. In July the relative concentration of Ca increased, indicating that Ca in soils probably from fertilizer were mixed into the river water by precipitation. The river waters are mainly from precipitation. The dissolved ions are mainly from weathering of carbonate minerals and pollutants from municipal sewage and discharged water from industrial complex. The composition of oxygen and deutrium isotope in July showed higher values, which is contrary to the amount effect, maybe due to Youngchon Dam. The nitrogen isotope showed lower values in July than those in May, which can be interpreted to indicate mixing of nitrate from soils and fertilizer in the cultivated land by the heavy rain. The isotope composition of nitrate increased downstream, indicating that the influence of sewage and animal manure also increased downstream.