• 제목/요약/키워드: precipitation patterns

검색결과 310건 처리시간 0.028초

Changes in Forest Disturbance Patterns from 1976 to 2005 in South Korea

  • Park, Pil Sun;Lee, Kyu Hwa;Jung, Mun Ho;Shin, Hanna;Jang, Woongsoon;Bae, Kikang;Lee, Jongkoo;Lee, Don Koo
    • 한국산림과학회지
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    • 제98권5호
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    • pp.593-601
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    • 2009
  • Forest disturbances including forest fire, insect pests and diseases, landslides, and forest conversion from 1976 to 2005 were investigated to trace the changes of major forest disturbance agents and their characteristics over time in accordance with changes in natural and social environment in South Korea. While the damaged area by insect pests and diseases continuously decreased for the past 30 years, damaged areas by forest fire and landslide were fluctuating through years. The interval of large forest fires has become shorter with increased tree volume. The precipitation between January and April were significantly correlated with large fire occurrences as Pearson's correlation coefficient -0.400 (P=0.029). The composition of major insect pests and diseases damaging Korean forests has been changed continuously, and become more diversified. While damages by pine caterpillar (Dendrolimus spectabilis) and pine needle gall midge (Thecodiplosis japonensis) decreased, damage by introduced pests has been more serious recently. The change of precipitation pattern that brought more localized heavy rain or powerful typhoon resulted in the recent increase in landslide areas. The major land uses to induce forest conversion have been changed, reflecting the changes in industrial structure in South Korea as agriculture and mining in 1970s, mining and golf ranges classified in pasture in 1980s, and road and housing construction in 1990s and 2000s. Changes in forest disturbance patterns in South Korea show that a country's industrial development is jointly working with global warming on forest stand dynamics. Altering energy structure and land use pattern induced by industrial development accumulates forest volume and reforms microenvironments on forest floor, interacting with climate change, inducing shorter interval of large forest fire and changes in major species composition of forest insect pests and diseases.

계절별 강수 패턴에 따른 하천 식생 변화 양상 연구 (A Study on the Variation of River Vegetation by Seasonal Precipitation Patterns)

  • 정희정;유승연;조은지;지용주;김용석;오현경;이종성;장현도;조동길
    • 한국지리정보학회지
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    • 제26권2호
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    • pp.1-19
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    • 2023
  • 국내에서는 모래와 자갈로 구성된 하천에서 식생이 과도하게 번성하는 현상이 전국적인 문제로 대두되고 있으며, 그 요인을 봄철 강수량 감소와 연강수량 증가로 지적하고 있다. 본 연구는 경주시 소재 남천을 대상으로 강수 패턴 변화가 하천 식생에 미치는 영향을 파악하고 출현 식생의 면적변화, 그리고 생태적 특성 분석을 목적으로 수행되었다. 연구 결과, 남천의 여름철 월강수량은 2007년 이후로 감소하는 양상을 보였으며 사주면적 대비 식생면적은 지속적으로 증가하였다. 범람이 발생하지 않는 수준의 강수가 지속될 때 귀화식물 비율은 꾸준히 증가했으나, 귀화식물이 차지하는 면적은 적었다. 또한 일정 수위가 유지될 때, 단일종의 우점으로 인해 종다양성이 낮았으며 우점하는 종은 주로 자생식물이었다. 자생식물의 우점은 귀화식물의 생육을 억제하였으나, 식생면적은 더 크게 증가하였다. 따라서 하천식생의 활착과 번성을 해소하기 위해서는 자생식물과 귀화식물의 구분보다 식생확산 자체에 대한 관리가 필요하다. 여름철 집중 호우로 인한 고수위와 범람 지속은 식물군락을 교란시켰고 이후 형성된 식생은 주로 자생식물이었다. 하천생태계에서 이와 같은 범람은 자생식물의 출현과 과도하게 형성된 식생군락에 긍정적인 요소로 작용하므로 식생 관리 계획 수립 시 고려해야 할 것이다.

기후변화에 따른 한반도 난대성 상록활엽수 잠재서식지 분포 변화 (Potential Impact of Climate Change on Distribution of Warm Temperate Evergreen Broad-leaved Trees in the Korean Peninsula)

  • 박선욱;구경아;공우석
    • 대한지리학회지
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    • 제51권2호
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    • pp.201-217
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    • 2016
  • 본 연구는 난대성 상록활엽수에 대한 기후변화의 영향을 평가하고자 하였다. 이를 위해 분포 북방한계지가 중부해안인 난대성 상록활엽수 9종을 선정하고, 각 종의 분포 자료와 최한월최저기온, 겨울철강수량에 Generalized Additive Model(GAM) 알고리즘을 적용하여 종분포모형을 구축하였다. 종분포모형에 현재와 미래기후자료, 토지이용도를 적용하여 난대성 상록활엽수의 현재와 미래 잠재서식지를 예측하였다. 기후요소 분석 결과에서 최한월최저기온은 모든 종의 분포에 유의한 영향을 주지만, 겨울철강수량은 종에 따라 영향이 다르게 나타났다. 9종은 잠재서식지의 분포 패턴에 따라 3개의 유형(중부해안형, 남서해안형, 중부경상내륙형)으로 분류되며 기후변화와 토지이용의 영향이 다르게 나타났다. 토지이용을 고려했을 때 9종에서 60% 이상의 잠재서식지가 감소하며, 특히 중부경상내륙형에 속하는 종들은 다른 유형에 비해 높은 서식지 감소를 보였다. 9종 모두 기후변화에 따라 2050년과 2070년에 분포지가 북쪽으로 확대될 것으로 예측되었지만, 분포 유형에 따라 각기 다르게 나타났다. 이러한 분포 유형별 기후변화 영향이 다른 것은 겨울철강수량의 시공간적 변화와 종별로 미치는 영향의 정도가 다르기 때문으로 판단된다.

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기후변화를 고려하기 위한 오염총량관리제 토지계 오염부하량 산정 방식 개선 (Enhancement of Land Load Estimation Method in TMDLs for Considering of Climate Change Scenarios)

  • 류지철;박윤식;한미덕;안기홍;금동혁;임경재;박배경
    • 한국물환경학회지
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    • 제30권2호
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    • pp.212-219
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    • 2014
  • In this study, a land pollutant load calculation method in TMDLs was improved to consider climate change scenarios. In order to evaluate the new method, future change in rainfall patterns was predicted by using SRES A1B climate change scenarios and then post-processing methods such as change factor (CF) and quantile mapping (QM) were applied to correct the bias between the predicted and the observed rainfall patterns. Also, future land pollutant loads were estimated by using both the bias corrected rainfall patterns and the enhanced method. For the results of bias correction, both methods (CF and QM) predicted the temporal trend of the past rainfall patterns and QM method showed future daily average precipitation in the range of 1.1~7.5 mm and CF showed it in the range of 1.3~6.8 mm from 2014 to 2100. Also, in the result of the estimation of future land pollutant loads using the enhanced method (2020, 2040, 2100), TN loads were in the range of 4316.6~6138.6 kg/day and TP loads were in the range of 457.0~716.5 kg/day. However, each result of TN and TP loads in 2020, 2040, 2100 was the same with the original method. The enhanced method in this study will be useful to predict land pollutant loads under the influence of climate change because it can reflect future change in rainfall patterns. Also, it is expected that the results of this study are used as a base data of TMDLs in case of applying for climate change scenarios.

수치모델을 이용한 홀로세 중기의 아시아 몬순순환 변화 연구 (Numerical Simulation of the Asian Monsoon for the Mid-Holocene Using a Numerical Model)

  • 김성중;이방용;박유민;석봉출
    • Ocean and Polar Research
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    • 제27권3호
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    • pp.289-297
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    • 2005
  • The change in global climate and Asian monsoon patterns during the mid-Holocene, 6000 years before present (6 ka), is simulated by a climate model at spectral truncations of T170 with 18 vertical layers, corresponding to grid-cell sizes of roughly 75km. The present simulation is forced with the observed monthly data of sea surface temperatures, and the specified concentration of atmospheric carbon dioxide, while in the mid-Holocene experiment, orbital parameters such as obliquity, precession, and eccentricity are changed to the 6ka conditions. Under such conditions, the precipitation associated with the summer monsoon is enhanced over a wider zonal band from the Middle East to Southeast Asia, while no significant alteration takes Place in winter. The monsoonal wind also increases over the Arabian Sea, showing the enhanced southwesterly wind during summer and northeasterly wind during winter. Overall, the showing of the Asian monsoon is enhanced during the mid-Holocene, especially in summer, which is consistent with the proxy estimates and other previous model simulations.

Seasonal Variations in Mercury Deposition over the Yellow Sea, July 2007 through April 2008

  • Ghim, Young Sung;Oh, Hyun Sun;Kim, Jin Young;Woo, Jung-Hun;Chang, Young-Soo
    • Asian Journal of Atmospheric Environment
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    • 제10권3호
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    • pp.146-155
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    • 2016
  • Spatial and temporal variations of mercury, including dry and wet deposition fluxes, were assessed over Northeast Asia, targeting the Yellow Sea, using meteorology and chemistry models. Four modeling periods, each representative of one of the four seasons, were selected. Modeling results captured general patterns and behaviors, and fell within similar ranges with respect to observations. However, temporal variations of mercury were not closely matched, possibly owing to the effects of localized emissions. Modeling results indicated that dry deposition is correlated with wind speed, while wet deposition is correlated with precipitation amount. Overall, the wet deposition flux of $66ng/m^2-day$ was about twice as large as the dry deposition flux of $32ng/m^2-day$, when averaged over the four modeling periods. Dry deposition occurred predominantly in the form of reactive gaseous mercury (RGM). In contrast, RGM accounted for only about two-thirds of wet deposition, while particulate mercury accounted for the remainder.

미래 기후변화에 따른 제주도의 사면과 해발고도별 가뭄 예측 (Prediction of Regional Drought considering Aspect and Elevation in Jeju Island under Future Climate Change)

  • 박종철;최광준;송성호
    • 한국환경과학회지
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    • 제23권4호
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    • pp.649-660
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    • 2014
  • Spatial and temporal patterns of precipitation and temperature occur with regard to aspect and elevation of Mt. Halla in Jeju Island. Therefore, there is a need to predict regional drought associate with them to mitigate of impacts of drought. In this study, regional drought is predicted based on Palmer drought severity index (PDSI) and standardized precipitation index (SPI) using future (2015~2044) climate change scenario RCP (representative concentration pathways) 4.5 classified as 24 regions according to aspect and elevation. The results show that number and duration of drought will be decrease in Jeju Island. However, severity of severe drought will be increase in western and northern aspect with under 200 meters above mean sea level. These findings provide primary information for developing the proactive strategies to mitigate impacts of drought by future climate change in Jeju Island.

공침법으로 제조한 Ni-Cu-Zn Ferrite의 Ni 첨가량과 온도에 따른 주파수 및 물리적 특성 연구 (A Study on Frequency and the Physical Properties of Ni-Cu-Zn Ferrites with the Variation of Ni Addition and Temperature Prepared by Co-Precipitation Method)

  • 김문석;고재귀
    • 한국자기학회지
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    • 제15권5호
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    • pp.282-286
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    • 2005
  • 공침법으로 제조한 Ni-Cu-Zn ferrite를 사용하여 전파흡수체로 사용할 저온소결용 ferrite를 연구하였다. Ni 첨가량에 따른 조성비 및 가소온도와 소결온도 변화를 시켜 전파흡수특성 및 물리적 특성을 고찰하였다. XRD pattern을 통하여 spinel구조를 가짐을 확인하였고, 공침법으로 제조된 Ni-Cu-Zn ferrite 미분말이 나노입자 크기를 보였다 소결온도가 $1100^{\circ}C$이고 Ni 함량이 많을 수록 투자율이 낮고 손실계수도 높게 측정되어 흡수 능력도 좋아짐을 알 수 있고, MHz 영역에서 사용할 수 있다고 사료된다. 그리고 소결온도 $1100^{\circ}C$이고 $(Ni_{0.7}Cu_{0.2}Zn_{0.1}O)_{1.02}(Fe_{2}O_3)_{0.98}$ 조성일 때가 가장 손실이 크므로 전파흡수체로 사용할 조성임을 확인 할 수 있었다.

GIS overlay analysis for hazard assessment of drought in Iran using Standardized Precipitation Index (SPI)

  • Asrari, Elham;Masoudi, Masoud;Hakimi, Somaye Sadat
    • Journal of Ecology and Environment
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    • 제35권4호
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    • pp.323-329
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    • 2012
  • The Standardized Precipitation Index (SPI) is a widely used drought index to provide good estimations of the intensity, magnitude and spatial extent of droughts. The objective of this study was to analyze the spatial pattern of drought by SPI index. In this paper, the patterns of drought hazard in Iran are evaluated according to the data of 40 weather stations during 1967-2009. The influenced zone of each station was specified by the Thiessen method. It was attempted to make a new model of drought hazard using GIS. Three criteria for drought were studied and considered to define areas of vulnerability. Drought hazard criteria used in the present model included: maximum severity of drought in the period, trend of drought, and the maximum number of sequential arid years. Each of the vulnerability indicators were mapped and these as well as a final hazard map were classified into 5 hazard classes of drought: one, slight, moderate, severe and very severe. The final drought vulnerability map was prepared by overlaying three criteria maps in a GIS, and the final hazard classes were defined on the basis of hazard scores, which were determined according to the means of the main indicators. The final vulnerability map shows that severe hazard areas (43% of the country) which are observed in the west and eastern parts of country are much more widespread than areas under other hazard classes. Overall, approximately half of the country was determined to be under severe and very severe hazard classes for drought.

가우시안 프로세스 회귀분석을 이용한 지하수위 추세분석 및 장기예측 연구 (Groundwater Level Trend Analysis for Long-term Prediction Basedon Gaussian Process Regression)

  • 김효건;박은규;정진아;한원식;김구영
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제21권4호
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    • pp.30-41
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    • 2016
  • The amount of groundwater related data is drastically increasing domestically from various sources since 2000. To justify the more expansive continuation of the data acquisition and to derive valuable implications from the data, continued employments of sophisticated and state-of-the-arts statistical tools in the analyses and predictions are important issue. In the present study, we employed a well established machine learning technique of Gaussian Process Regression (GPR) model in the trend analyses of groundwater level for the long-term change. The major benefit of GPR model is that the model provide not only the future predictions but also the associated uncertainty. In the study, the long-term predictions of groundwater level from the stations of National Groundwater Monitoring Network located within Han River Basin were exemplified as prediction cases based on the GPR model. In addition, a few types of groundwater change patterns were delineated (i.e., increasing, decreasing, and no trend) on the basis of the statistics acquired from GPR analyses. From the study, it was found that the majority of the monitoring stations has decreasing trend while small portion shows increasing or no trend. To further analyze the causes of the trend, the corresponding precipitation data were jointly analyzed by the same method (i.e., GPR). Based on the analyses, the major cause of decreasing trend of groundwater level is attributed to reduction of precipitation rate whereas a few of the stations show weak relationship between the pattern of groundwater level changes and precipitation.