• Title/Summary/Keyword: 계절지수

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Evaluation of eutrophication characteristics of major lakes in the Seomjin River (섬진강 주요호수의 부영양화 특성 평가)

  • Lee, Bo Ram;Park, Soo Ho;Park, Sung Chun;Lee, Woo Bum
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.479-479
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    • 2022
  • 섬진강 주요호수 4개 호수에 대하여 20년간의 수질자료를 수집하여 한국형 부영양화지수(TSIko)를 산정하고 부영양화정도와 경향성을 분석하였다. 호수별 20년간 평균 수질농도 분석 결과, 4개 호수 중 BOD, COD, T-P, Chl-a, TOC의 5개 항목에서 보성호가 가장 높은 농도를 보이고, T-N도 두 번째로 높은 농도를 나타냈으며, 월별·계절별 분석 결과, 전체 수질항목의 수질은 대체적으로 여름(6-8월)에 가장 높았으나, 동복호의 Chl-a 항목의 경우 봄(3-5월)과 가을(9-11월)에 가장 높았다. 호소별 수질자료를 통한 경향분석 결과, 옥정호(섬진강호)는 BOD, TOC, 주암호는 COD, TOC, 보성호는 COD, TOC, Chl-a, 동복호는 TOC 항목이 증가하는 경향을 보이며, 주로 유기물 항목들이 증가하는 경향을 나타내었고, 각 호소의 수질항목별 상관관계 분석 결과, 보성호의 COD와 TOC 항목 사이의 상관계수가 0.85로 높은 상관관계를 나타냈고, 그 외에는 보통 또는 약한 상관관계 또는 상관관계가 거의 없는 것으로 나타났다. 최근 20년간의 연도별, 월별, 계절별 수질자료를 바탕으로 섬진강 내 주요호수 4개 호수의TSIko 평가 결과, 대부분의 호수가 중영양 상태를 나타내었고, 보성호의 경우, 2001년, 2004년, 2005년, 2015년~2020년에 각각 부영양화지수가 51.31, 56.94, 54.59, 52.77, 51.08, 57.95, 58.10, 50.82, 50.77로 부영양 상태로 평가되었다. 특히 보성호의 경우, TSIko 결과를 기반으로 한 경향분석 결과, 경향성이 없거나 감소하는 다른 호수들과는 달리 증가하는 경향성을 보이고, 항목별 경향성 분석 결과 COD, TOC, Chl-a이 증가하는 경향으로 나타났으며, 유기물인 COD와 TOC 항목의 경우 높은 상관관계를 보이고 있으므로, 추후 섬진강 유역의 물 수요 문제 해소에 대한 중요한 수자원에 대한 모니터링 및 부영양화 해소와 수질개선방안에 대한 연구가 필요할 것으로 판단된다.

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Species Composition and Seasonal Variation of Shrimp Assemblage in the Coastal Waters of Kori, Korea (고리 주변 해역 새우류의 종조성과 계절 변동)

  • HUH Sung-Hoi;AN Yong-Rock
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.32 no.6
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    • pp.784-790
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    • 1999
  • Species composition and seasonal variation of a shrimp assemblage in the coastal waters of Kori, Korea were studied based on the monthly trawled samples through a year of 1996. In the study period, 11 species of shrimps from 6 families were collected. Of these Crangon affinis predominated throughout the year. The peak abundances occurred in June and November, and low ones in winter and early autumn. More species were collected in winter and spring than summer and autumn. Species diversity indices showed that the shrimp assemblage was more diverse in winter than spring and autumn. Predominance of C. affinis in June, July and November caused high abundances and low diversity indices. The shrimps in the study area can be grouped into two groups on the basis of their occurrence patterns: resident species and seasonal species.

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Seasonal Variations in Species Composition and Abundance of Fishes Collected by an Otter Trawl in Nakdong River Estuary (낙동강 하구해역에서 저인망에 의해 어획되는 어류의 종조성 및 계절 변동)

  • 허성회;정석근
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.35 no.2
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    • pp.178-195
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    • 1999
  • The species composition and seasonal variation in abundance of fishes in the Nakdong River estuary were investigated monthly from February 1987 to January 1988. During the study period, 23,008 specimens belonging to 100 species were collected. The most abundant fish species were Repomucenus valenciennei, Pholis fangi, Leiognathus nuchalis, Trachurus japonicus, and Sardinella zunasi. These five species comprised 63.0% of total fishes and 47.8% of total biomass collected. The seasonal dominant fish species were P. fangi and R. valenciennei in spring, R. valenciennei and Cynoglossus joyneri in summer, Thryssa kammalensis and Apogon lineatus in fall, and R. valenciennei, L. nuchalis and S. zunasi in winter. The number of fish species, number of individuals collected, and species diversity indices fluctuated with the seasons. The number of species and number of individuals decreased significantly in the upper estuary. While temperature was an important factor which influenced on seasonal fluctuation of the fish community, salinity determined the spatial distribution of fishes.

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A Study on the Seasonal Variations of Fresh Water Distribution and Flushing Time in Suyoung Bay (수영만에 유입된 담수의 체류시간과 그 계절적 변동 특성)

  • Lee, Byeong-Geol;Jo, Gyu-Dae;Kim, Dong-Seon
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.27 no.3
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    • pp.170-177
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    • 1991
  • This paper presents the seasonal variation of distribution and flushing time of the fresh water in Suyoung Bay based on the monthly observation from May 1989 through April 1990 and Pusan City Report of Suyoung Bay. Most of Suyoung river water was trapped inside of the bay west of the Dong-Baek Island located. Low salinity water lies dominantly on the right hand side of the Suyong river. Salinity structure of the bay is the well mixed type in summer and the partially mixed type in other season. The fresh water fraction varied in an exponetial manner from unity at the head of bay toward a value of zero at the its mouth. The calculated average flushing time during a year was about 10-15days. About 1.5 days was in summer because the strong fresh water discharge from the river was dominated in the bay.

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Seasonal Variation in the Species Composition of Larval Fish Assemblages in the Coastal Waters off Gadeok-do, South Sea, Korea (한국 남해 가덕도 인근해역에 출현하는 자어의 종조성과 계절변동)

  • Eun Kyung Lee
    • Korean Journal of Ichthyology
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    • v.35 no.4
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    • pp.294-304
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    • 2023
  • Seasonal variations in the community structure of larval fish assemblage in the coastal waters off Gadeok-do were investigated in May, August and November of 2019, and February in 2020. During the study period, a total of 85 larvae species belonging to 45 families were collected. The dominant species were Engraulis japonica, Gobiidae sp., Clupea pallasii, Decapterus maruadsi, and Callionymidae sp.. These five species accounted for 84.1% of the total number of larvae during the survey period. E. japonica, Gobiidae sp., D. maruadsi, and Callionymidae sp. were the dominant species in the summer, while C. pallasii was the dominant species in the winter. The Species Diversity Index was highest in the summer and lower in the fall and winter months, with the lowest values in the spring. As a result of cluster analysis using the number of individual larval fish showed that they are divided into four seasonal groups. In particular, due to seasonal changes in water temperature, an appropriate growth environment was formed in the summer, and an appropriate hatching water temperature for winter spawning fish species was formed in winter, reflecting the seasonal characteristics of the larval fish community.

Regression models based on cumulative data for forecasting of new product (신제품 수요예측을 위하여 누적자료를 활용한 회귀모형에 관한 연구)

  • Park, Sang-Gue;Oh, Jung-Hyun
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.1
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    • pp.117-124
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    • 2009
  • If time series data with seasonal effect exist, various statistical models like winters for successful forecasts could be used. But if the data are not enough to estimate seasonal effect, not much methods are available. This paper proposes the statistical forecasting method based on cumulative data when the data are not enough to estimate seasonal effect. We apply this method to real cosmetic sales data and show its better performance over moving average method.

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The Effect of Seasonal Input on Predicting Groundwater Level Using Artificial Neural Network (인공신경망을 이용한 지하수위 예측과 계절효과 반영을 위한 입력치의 영향)

  • Kim, Incheol;Lee, Junhwan
    • Ecology and Resilient Infrastructure
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    • v.5 no.3
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    • pp.125-133
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    • 2018
  • Artificial neural network (ANN) is a powerful model to predict time series data and have been frequently adopted to predict groundwater level (GWL). Many researchers have also tried to improve the performance of ANN prediction for GWL in many ways. Dummies are usually used in ANN as input to reflect the seasonal effect on predicted results, which is necessary for improving the predicting performance of ANN. In this study, the effect of Dummy on the prediction performance was analyzed qualitatively and quantitatively using several graphical methods, correlation coefficient and performance index. It was observed that results predicted using dummies for ANN model indicated worse performance than those without dummies.

인공위성 원격탐사에 의한 지구 수계환경 감시

  • 박경윤
    • Water for future
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    • v.24 no.3
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    • pp.36-41
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    • 1991
  • 1960년대 초부터 미 국립항공우주국(NASA)에서 기상위성을 지구궤도에 올리면서 시작되고 우주개발 선도국들에 의해 수 없이 발사되어 지구상공을 선회하고 있는 각종 실험위성, 자원탐사위성들로부터 이전까지만해도 지엽적이고 단편적인으로 알려지던 지구환경현황들이 이제는 지구전체에 대한 시시각각의 정보로 확대되고 있다. 기상위성들에 장착된 Sensor들로는 구름과 기상현상의 분포는 물론이고 각 대양의 해수면 온도 분포들이 파악되고 있으며 식물지수에 의한 지상의 식물분포의 계절적 변화양상에서 열대림의 사막화 추세들까지도 분석된다. 특히 위성탐사에 의한 남극 오존홀 (Ozone Hole)의 확인은 최근악화 되고 있느 swlrnchs 환경문제에 대한 커다란 주의를 환기시켜 주었다. 대양의 Phytoplankton 분포가 계절에 따라 위성자료에 의해 분석되므로서 해양의 생산능력(Productivity)의 변화도 알게되고 있다. 해양수면의 높이를 측정했던 초단파(microwave)영역의 SAR 자료는 구름을 투과하여 지구표면을 전천후 Monitoring할 수 있는 다음 세대의 Sensor로 각광을 받고 있으며 앞으로 유럽과 일본, 카나다, 소련 등에서 이들 새로운 Sensor들이 탑재 될 자원탐사 위성(ERS)과 RADASAT 등의 위성이 계속해서 개발되고 있어 이들에 의한 지구환경상태 진단은 크게 각광받게 될 것이다. 그외에도 해면풍 운량, 총강우량 분포, 대기 투명도, 대기의 열수지등의 계절적 변화에 대한 인공위성자료 해석을 통하여 지구의 온난화nas제가 본격적으로 ud가되고 있다. 또한 자원탐사위성인 Landsat 과 SPOT 등의 위성에 의해서는 각대륙의 토지 이용도 변화, 토사의 이도, 지질도 작성, 입체도 제착등과 농산물수확량의 예측있어서 괄목할 만한 발전이 계속되고 있다. 더욱이 NASA와 일본, 유럽등에서 지구관측을 위해서 준비하고 있는 각종 지구관측위성(EOS)들이 실용화 될 2000년 대에는 일반 지구환경감시는 물론 수계환경 감시 체계구축에 획기적인 진전이 있을 것으로 기대된다.

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The Analysis of Phytoplankton Community Structure in the Middle-Lower Part of the Nakdong River (낙동강 중·하류의 식물플랑크톤 군집구조 분석)

  • Son, Hee-Jong
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.6
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    • pp.430-435
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    • 2013
  • A seasonal variation of phytoplankton community in the middle-lower part of the Nakdong River was studied in four sampling stations at monthly intervals from January to December 2012. We identified 40 genera 72 species of phytoplankton. Among these, diatoms were 36 species (50.0%), green algae 20 species (27.8%), blue-green algae 9 species (12.5%) and others 7 species (9.7%), respectively. The phytoplankton standing crops were recorded a maximum of 29,640 cells/mL at the Mulgeum (St. 4) in June and a minimum of 236 cells/mL at the Goryung (St. 1) in October. Also, Standing crops were increased with proceeding from middle part to lower part. Ecological important species were Stephanodiscus hantzschii, Cyclotella meneghiniana, Synedra acus, Aulacoseira granulata, Pediastrum sp. and Microcystis aeruginosa. Seasonal succession of phytoplankton represented that Stephanodiscus hantzschii was dominant species in winter, Cyclotella meneghiniana, Synedra acus was dominant species in spring, Microcystis aeruginosa, Cyclotella meneghiniana, Fragilaria crotonensis, Synedra acus, Aulacoseria granulata was dominant species in summer, and Aulacoseria granulata, Cyclotella meneghiniana, Fragilaria crotonensis was dominant species in autumn. In the community analysis, diversity index and dominant index were higher May~July and December~February, respectively. Also, diversity index and dominant index were decreased and increased with proceeding from middle part to lower part.

Forest Damage Detection Using Daily Normal Vegetation Index Based on Time Series LANDSAT Images (시계열 위성영상 기반 평년 식생지수 추정을 통한 산림생태계 피해 탐지 기법)

  • Kim, Eun-sook;Lee, Bora;Lim, Jong-hwan
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1133-1148
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    • 2019
  • Tree growth and vitality in forest shows seasonal changes. So, in order to detect forest damage accurately, we have to use satellite images before and after damages taken at the same season. However, temporal resolution of high or medium resolution images is very low,so it is not easy to acquire satellite images of the same seasons. Therefore, in this study, we estimated spectral information of the same DOY using time-series Landsat images and used the estimates as reference values to assess forest damages. The study site is Hwasun, Jeollanam-do, where forest damage occurred due to hail and drought in 2017. Time-series vegetation index (NDVI, EVI, NDMI) maps were produced using all Landsat 8 images taken in the past 3 years. Daily normal vegetation index maps were produced through cloud removal and data interpolation processes. We analyzed the difference of daily normal vegetation index value before damage event and vegetation index value after event at the same DOY, and applied the criteria of forest damage. Finally, forest damage map based on daily normal vegetation index was produced. Forest damage map based on Landsat images could detect better subtle changes of vegetation vitality than the existing map based on UAV images. In the extreme damage areas, forest damage map based on NDMI using the SWIR band showed similar results to the existing forest damage map. The daily normal vegetation index map can used to detect forest damage more rapidly and accurately.