• 제목/요약/키워드: seasonal-spatial variability

검색결과 76건 처리시간 0.019초

Benthic Organisms and Environmental Variability in Antarctica: Responses to Seasonal, Decadal and Long-term Change

  • Clarke, Andrew
    • Ocean and Polar Research
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    • 제23권4호
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    • pp.433-440
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    • 2001
  • Marine organisms in Antarctica live in an environment which exhibits variability in physical processes over a wide range of temporal scales, from seconds to millennia. This time scale tends to be correlated with the spatial scale over which a given process operates, though this relationship is influenced by biology. The way organisms respond to variability in the physical environment depends on the time-scale of that variability in relation to life-span. Short-term variations are perceived largely as noise and probably have little direct impact on ecology. Of much greater importance to organisms in Antarctica are seasonal and decadal variations. Although seasonality has long been recognised as a key feature of polar environments, the realization that decadal scale variability is important is relatively recent. Long-term change has always been a feature of polar environments and may be a key factor in the evolution of the communities we see today.

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시화호 중형동물플랑크톤 군집의 시공간적 변동 (Spatial and Temporal Variation of Mesozooplankton Community in Lake Sihwa, Korea)

  • 유정규;명철수;최중기;홍현표;김은수
    • Ocean and Polar Research
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    • 제32권3호
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    • pp.187-201
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    • 2010
  • The purpose of this study was to investigate the temporal and spatial variability of taxonomic groups and major species of the mesozooplankton community in Lake Shihwa, Korea. Monthly collections were carried out at five stations in Lake Shihwa for a period of one year. The mesozooplankton community showed distinct seasonal variability with water temperature and salinity. Major mesozooplankton species in each seasonal community were derived from non-metric MDS and SIMPER as follows: winter community (Acartia hongi and Eurytemora pacifica), spring community (Acartia hudsonica and Polychaeta larvae), summer community (Acartia sinjiensis, Pavocalanus crassirostris, Evadne tergestina and Cirripedia nauplii) and fall community (Paracalanus indicus and Podon leuckarti). The succession of the seasonal species, A. hudsonica and A. sinjiensis, was the most remarkable event during the seasonal changes of the mesozooplankton community. The species response curve of these species fitted with the logistic regression in relation to water temperature and salinity. The curve also correctly represented the characteristics of the occurrence of A. hudsonica and A. sinjiensis in Lake Shihwa.

한국 남해 마산만에서 수질환경의 계절적 변동과 기초생산 제한인자 (Variability of Water Quality and Limiting Factor for Primary Production in Semi-enclosed Masan Bay, South Sea of Korea)

  • 임동일;김영옥;강미란;장풍국;신경순;장만
    • Ocean and Polar Research
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    • 제29권4호
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    • pp.349-366
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    • 2007
  • Seasonal variations of various physicochemical components (temperature, salinity, pH, DO, COD, DOC, nutrients-silicate, DIN, DIP) and potential limiting factor for phytoplankton primary production were studied in the surface water of semi-enclosed Masan Bay. Seasonal variations of nutrient concentrations, with lower values in summer and winter, and higher in fall, are probably controlled by freshwater loadings to the bay, benthic flux and magnitude of occurrence of phytoplankton communities. Their spatial distributional patterns are primarily dependent on physical mixing process between freshwater and coastal seawater, which result in a decreasing spatial gradient from inner to outer part of the bay. In the fall season of strong wave action, the major part of nutrient inputs (silicate, ammonium, dissolved inorganic phosphorus) comes from regeneration (benthic flux) at sediment-water interface. During the summer period, high Si:DIN and Si:DIP and low DIN:DIP relative to Redfield ratios suggest a N- and secondarily P-deficiency. During other seasons, however, silicate is the potential limiting factor for primary production, although the Si-deficiency is less pronounced in the outer region of the bay. Indeed, phytoplankton communities in Masan Bay are largely affected by the seasonal variability of limiting nutrients. On the other hand, the severe depletion of DIN (relatively higher silicate level) during summer with high freshwater discharge probably can be explained by N-uptake of temporary nanoflagellate blooms, which responds rapidly to pulsed nutrient loading events. In Masan Bay, this rapid nutrient consumption is considerably important as it can modify the phytoplankton community structures.

황해와 동중국해에서의 유의파고와 파향의 시공간 변동성 (Spatial and Temporal Variability of Significant Wave Height and Wave Direction in the Yellow Sea and East China Sea)

  • 우혜진;박경애;정광영;변도성;오현주
    • 한국지구과학회지
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    • 제44권1호
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    • pp.1-12
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    • 2023
  • 해양의 파랑은 지구온난화 및 기후변화의 중요한 지표 중 하나로 인식되고 있다. 기후변화와 동아시아 몬순의 영향을 직접적으로 받는 황해 및 동중국해역에서의 유의파고 및 파향의 시공간 변동성 연구가 필요하다. 본 연구에서는 유럽중기예보센터(European Centre for Medium-Range Weather Forecasts; ECMWF)에서 제공하고 있는 5세대 모델 재분석장 (ECMWF Reanalysis 5, ERA5) 자료를 활용하여 황해 및 동중국해역에서의 유의파고와 파향의 공간분포와 계절 및 경년변동을 포함하는 시공간 변동성을 분석하였다. 모델 재분석자료를 활용한 유의파고와 파향의 변동성 분석에 앞서 이어도 해양과학기지 관측 자료와의 비교를 통하여 정확도를 검증하였다. 평균 유의파고는 0.3-1.6 m의 범위를 보였으며 북쪽에 비해 남쪽이 높고 연안에 비해 황해 중심부에서 높은 공간분포 특성을 보였다. 유의파고의 표준편차 또한 평균과 유사한 양상을 나타내었다. 황해에서 유의파고와 파향은 뚜렷한 계절변동성을 보였다. 유의파고의 경우 전반적으로 겨울철에 가장 높았으며 늦봄 또는 초여름에 가장 낮았다. 파향은 계절풍의 영향으로 겨울철에는 주로 남쪽으로 전파되었으며 여름철에는 북쪽으로 전파되는 특성이 나타났다. 유의파고의 계절변동은 여름철 태풍 등의 영향으로 해마다 연 진폭의 큰 변화를 가진 강한 경년변동성을 보였다.

이어도 주변해역에서 수중음속의 시공간적 변동성 (Temporal and Spatial Variability of Sound Speed in the Sea around the Ieodo)

  • 박경주
    • 한국환경과학회지
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    • 제29권11호
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    • pp.1141-1151
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    • 2020
  • The impact of sound speed variability in the sea is the very important on acoustic propagation for the underwater acoustic systems. Understanding of the temporal and spatial variability of ocean sound speed in the sea around the Ieodo were obtained using oceanographic data (temperature, salinity). from the Korea Oceanographic Data Center, collected by season for 17 years. The vertical distributions of sound speed are mainly related to seasonal variations and various current such as Chinese coastal water, Yellow Sea Cold Water (YSCW), Kuroshio source water. The standard deviations show that great variations of sound speed exist in the upper layer and observation station between 16 and 18. In order to quantitatively explain the reason for sound speed variations, Empirical Orthogonal Function (EOF) analysis was performed on sound speed data at the Line 316 covering 68 cruises between 2002 and 2018. Three main modes of EOFs respectively revealed 55, 29, and 5% the total variance of sound speed. The first mode of the EOFs was associated with influence of surface heating. The second EOFs pattern shows that contributions of YSCW and surface heating. The first and second modes had seasonal and inter-annul variations.

Eddy Kinetic Energy in the East Sea Estimated from Topex/Poseidon Altimeter Measurements

  • Cho Kwangwoo;Cho Kyu-Dae
    • Fisheries and Aquatic Sciences
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    • 제5권3호
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    • pp.219-228
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    • 2002
  • Based on the five-year (October 1992 through September 1997) Topex/Poseidon altimeter measurements, we describe the statistical characteristics of the eddy variability in the East Sea in terms of sea surface height anomaly, slope variability, and eddy kinetic energy (EKE). The sea surface height anomalies in the East Sea are produced with standard corrections from Topex/Poseidon measurements. In order to eliminate the high frequency noise in the sea surface height anomaly data, the alongtrack height anomaly data was filtered by about 40 km low-pass Lanczos filter based on Strub et al. (1997) and Kelly et a1. (1998). We find that there exists a distinct spatial contrast of high eddy variability in the south and low eddy energy in the north, bordering the Polar Front. In the northwestern area $(north\;of\;39^{\circ}N\;and\;west\;of\;133^{\circ}E)$ from the Polar Front where the eddies frequently appear, the EKE is also considerabel. The high kinetic energy in the southern East Sea reveals a close connection with the paths of the Tsushima Warm Current, suggesting that the high variability in the south is mainly generated by the baroclinic instability process of the Tsushima Warm Current. This finding is supported by other studies (Fu and Zlontnicki, 1989; Stammer, 1997) wh.ch have shown the strong eddy energy coupled in the major current system. The monthly variation of the EKE in both areas of high and low eddy variability shows a strong seasonality of a high eddy kinetic energy from October to February and a relatively low one from March to September. The sequential pattern of wind stress curl shows resemblance with those of monthly and seasonal EKE and the two sequences have a correlation of 0.82 and 0.67, respectively, providing an evidence that wind stress curl can be the possible forcing for the monthly and seasonal variation of the EKE in the East Sea. The seasonality of the EKE also seems to correlate with the seasonality of the Tsushima Warm Current. There also exists the large spatial and interannual variabilities in the EKE.

Observed Seasonal Variability of Barrier Layer in the Bay of Bengal

  • Thadathil, Pankajakshan;Muraleedharan, P.M.;Rao, R.R.;Somayajulu, Y.K.;Reddy, G.V.;Revichandran, C.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.922-925
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    • 2006
  • The objective of this study is first to resolve the spatial and seasonal variability of BL in the bay using 'the most comprehensive' data set available for the bay and then to understand the formation mechanisms and variability in the light of the known dynamical and thermodynamical processes. The most recent study [Masson et al., 2002] on the BL variability in the bay was based on the World Ocean Atlas (WOA98) of Levitus [1998]. The temperature and salinity profiles in the bay have increased considerably after the release of WOA98. The WOA98, itself has been updated to WOA01 in 2001. Further, the deployment of ARGO profiling floats in the bay since 2002 has generated many additional profiles. In addition to the ARGO data and the updated WOA01, the hydrographic data collected from the bay under several Indian national programs and archived in the Indian Oceanographic Data Centre (IODC) was also considered in the present study. The WOA98 and WOA01 consist of only limited data from the IODC archive, especially from the Exclusive Economic Zone of India. Therefore, the combination of these data from the three different sources (WOA01, ARGO and IODC) provides ‘the most comprehensive data set’ for the bay to resolve the BLT structure and its variability in a much better scale than in the past.

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Rainfall and Water Quality Characteristics of Saemangeum Area

  • Monica, Nankya;Choi, Kyung-Sook
    • Current Research on Agriculture and Life Sciences
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    • 제32권4호
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    • pp.203-209
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    • 2014
  • This study investigated characteristics of rainfall and water quality in Saemangeum area with attention to temporal and spatial distributions. A high variability in rainfall was noted during July and August. The temporal analysis of water quality data indicated that DO and TN as well as BOD, COD and SS were within national standards except for increased concentrations during spring and summer, unlike TP values that indicated poor water quality. Standard deviation showed a high variability in SS among the seasons most especially during summer. The high dispersion indicated variability in the chemical composition of pollutants where the temporal and spatial variations caused by polluting sources and/or seasonal changes were most evident for BOD and COD during winter and spring. The box plots and bar charts showed steadily low concentrations of BOD, COD, TN and TP except within Iksan and notable significant variations in SS concentrations among the monitoring stations. Thus, high pollution levels requiring intervention were identified in Mangyeong river basin with particular concern for areas represented by Iksan station. It was noted that Iksan received a considerable amount of rainfall which meant high runoff which could explain the significant pollution levels revealed in the water quality spatial distribution. Major pollution contributing pollutants within Saemangeum area were identified as SS, BOD, COD and TN. Therefore the present results could be used as a guideline for the temporal and spatial distributions analysis of both rainfall and water quality in Saemangeum watershed.

동중국해 북부해역에서 음파전달 특성의 시공간적 변동성 (Temporal and Spatial Variability of Sound Propagation Characteristics in the Northern East China Sea)

  • 박경주;피터추
    • 한국군사과학기술학회지
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    • 제18권2호
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    • pp.201-211
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    • 2015
  • Acoustic propagation in shallow water with changing environments is a major concern of navy. Temporal and spatial variability of acoustic propagation in the northern East China Sea (ECS) is studied, using the 11 years hydrographic data and the Bellhop acoustic model. Acoustic propagation in the northern ECS is highly variable due to extensive interaction of various ocean currents and boundaries. Seasonal variations of transmission loss (TL) with various source depths are highly affected by sharp gradient of sound speed and bottoms interaction. Especially, various bottom sediment types lead to severely degrading a waterborne propagation with bottom loss. In particular, the highly increased TL near the ocean front depends on the source position, and the direction of sound propagation.

ROMS-NPZD 접합모델을 이용한 한반도 주변해역의 표층 영양염 및 클로로필의 계절변동성 (Application of ROMS-NPZD Coupled Model for Seasonal Variability of Nutrient and Chlorophyll at Surface Layer in the Northwestern Pacific)

  • 이준호;김태훈;문재홍
    • Ocean and Polar Research
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    • 제38권1호
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    • pp.1-19
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    • 2016
  • Recently, there has been a growing interest in physical-biological ocean-modeling systems by communities in the fields of science and business. In this paper, we present preliminary results from a coupled physical-biological model for the Northwestern Pacific marginal seas. The ocean circulation component is an implementation of the Regional Ocean Modeling System (ROMS), and the lower trophic level ecosystem component is a Nutrient-Phytoplankton-Zooplankton-Detritus (NPZD) model. The ROMS-NPZD coupled system, with a 25 km resolution, is forced by climatological atmospheric data and predicts the physical variables and concentrations of nitrate, phytoplankton, zooplankton, and detritus. Model results are compared with remote-sensed sea surface temperature and chlorophyll, and with climatological sea surface salinity and nitrate. Our model adequately reproduces the observed spatial distribution and seasonal variability of nitrate and chlorophyll concentrations as well as physical variables, showing a high correlation in the East Sea (ES) and Kuroshio/Oyashio Extension (KOE) region but relatively low correlation in the Yellow Sea (YS) and East China Sea (ECS). Although some deficiencies were found in the biological components, such as the over/underestimation of the intensity of phytoplankton blooms in the ES and KOE/the YS and ECS, our system demonstrates the capability of the model to capture and record dominant seasonal variability in physical-biological processes and this holds out the promise of coming to a better understanding of such processes and making better predictions .