• Title/Summary/Keyword: aerial algae

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A study of six newly recorded species of cyanobacteria (Cyanophyceae, Cyanophyta) in Korea

  • Song, Mi-Ae;Lee, Ok-Min
    • Journal of Species Research
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    • v.6 no.2
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    • pp.154-162
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    • 2017
  • The aim of this study was to discover and describe new genera and species of cyanobacteria in Korea. Aquatic and aerial algae were collected from various environments in the Han River and Nakdong River watersheds between August 2009 and October 2015. As a result, one genus and six species of cyanobacteria were newly recorded in Korea. The newly recorded genus for Korea was Capsosira; newly recorded species were Capsosira brebissonii, Rivularia minutula, Chamaesiphon amethystinus, Leptolyngbya margaretheana, Pseudanabaena arcuata, and Rhabdoderma lineare.

Monitoring algal bloom in river using unmanned aerial vehicle(UAV) imagery technique (UAV(Unmanned aerial vehicle)를 활용한 하천 녹조 모니터링 평가)

  • Kim, Eun-Ju;Nam, Sook-Hyun;Koo, Jae-Wuk;Hwang, Tae-Mun
    • Journal of Korean Society of Water and Wastewater
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    • v.32 no.6
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    • pp.573-581
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    • 2018
  • The purpose of this study is to evaluate the fixed wing type domestic UAV for monitoring of algae bloom in aquatic environment. The UAV used in this study is operated automatically in-flight using an automatic navigation device, and flies along a path targeting preconfigured GPS coordinates of desired measurement sites input by a flight path controller. The sensors used in this study were Sequoia multi-spectral cameras. The photographed images were processed using orthomosaics, georeferenced digital surface models, and 3D mapping software such as Pix4D. In this study, NDVI(Normalized distribution vegetation index) was used for estimating the concentration of chlorophyll-a in river. Based on the NDVI analysis, the distribution areas of chlorophyll-a could be analyzed. The UAV image was compared with a airborne image at a similar time and place. UAV images were found to be effective for monitoring of chlorophyll-a in river.

A Study of Ten Taxa of Newly Reported Green Algae (Division Chlorophyta) in Korea (한국산 미기록 녹조식물(녹조식물문) 10 분류군에 대한 연구)

  • Lee, Ok-Min;Ahn, Jae-Hyun;Moon, Byeong-Ryeol
    • Korean Journal of Ecology and Environment
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    • v.40 no.1
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    • pp.50-60
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    • 2007
  • Ten taxa of green algae collected at 8 stations of reservoirs and one of aerial habitat were reported newly in Korea. They belong to 7 genera, 2 species, 6 varieties and 2 forms and include one taxon of Scenedesmus, Actinotaenium, Euastrum, Hyalotheca, Staurastrum and Teilingia respectively, 4 taxa of Cosmarium. The Korean green algae, including these newly reported ones, totals to 1,131 taxa, and classified as 1 class, 10 orders, 34 families, 140 genera, 728 species, 318 varieties and 85 forms. Actinotaenium cucurbita var. cucurbita f. rotundatum cultured in this study was appeared to be variable in the size of isthmus. In the Korean taxa of Cosmarium lapponicum var. granulatum, C. portianum var. orthostichum and Euastrum denticulatum var. rectangulare, cell sizes were shown smaller than previously reported ones. Five taxa including Cosmarium lapponicum var. granulatum were occurred in the eutrophic states, and Cosmarium decedens, previously reported as present in the freshwater area, was collected at the aerial habitat in this study.

Applications of image analysis techniques for the drone photography in water resources engineering (무인항공 촬영 영상분석 기술의 수자원기술 분야 적용)

  • Kim, Hyung Ki;Kwon, Hyuk Jae
    • Journal of Korea Water Resources Association
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    • v.53 no.6
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    • pp.463-467
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    • 2020
  • The main feature of this study is to automatically synthesize square images by sending aerial photographs and images from unmanned aerial vehicles (drons). It may be applicable to the cloud server, and to apply analytical algorithms for the suitable purpose of image processing. Drone imaging analysis is a process that can be used in various fields such as finding contaminated area of green algae, monitoring forest fire, and managing crop cultivation.

Six Taxa of Newly Recorded Species of Charophytes (Charophyta) in Korea

  • Lee, Nam Ju;Kim, Jee Hwan;Kim, Mi Ran;Lee, Ok Min
    • Korean Journal of Environmental Biology
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    • v.36 no.3
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    • pp.285-290
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    • 2018
  • Six taxa of unrecorded Korean species of charophytes are described. Freshwater and aerial charophytes were collected from the bark of trees, reservoirs, small ponds and swamps from April 2017 to September 2017. The newly recorded species of Korea were Cosmarium quadrifarium f. octastichum, Euastrum turneri, Spondylosium nitens var. triangulare, Staurastrum kouwetsii, Staurodesmus dickiei var. latus, and Klebsormidium subtile. K. subtile was transferred from Stichococcus subtilis.

Utilization of Unmanned Aerial Vehicle(UAV) Image for Detection of Algal Bloom in Nakdong River (무인항공영상을 활용한 낙동강 녹조 탐지)

  • Kim, Heung-Min;Jang, Seon-Woong;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.3
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    • pp.457-464
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    • 2017
  • The large breeding of algae in rivers has caused the algal bloom and has becoming a serious national problem for the safety of water sources. Therefore, in order to supply stable water resources through securing clean water, it is necessary to develop technology for prevention of water pollution caused by algal bloom. The purpose of this study is to improve the water quality management ability of river by applying the algal bloom detection technique using UAV. Unmanned aerial images were acquired for the Dodong in the middle region of the Nakdong River where algal bloom are frequent. In addition, the phytoplankton concentration was acquired through the sampling of algal bloom and the examination of water quality. Correlation between phytoplankton concentrations and the results of applying the algal bloom index to the Unmanned aerial images showed a strong positive correlation. The remote sensing method suggested in this study is expected to improve the initial response capability of river water pollution.

Analysis of Chlorophyll-a and Algal Bloom Indices using Unmanned Aerial Vehicle based Multispectral Images on Nakdong River (무인항공기 기반 다중분광영상을 이용한 낙동강 Chlorophyll-a 및 녹조발생지수 분석)

  • KIM, Heung-Min;CHOE, Eunyoung;JANG, Seon-Woong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.1
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    • pp.101-119
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    • 2022
  • Existing algal bloom monitoring is based on field sampling, and there is a limit to understanding the spatial distribution of algal blooms, such as the occurrence and spread of algae, due to local investigations. In this study, algal bloom monitoring was performed using an unmanned aerial vehicle and multispectral sensor, and data on the distribution of algae were provided. For the algal bloom monitoring site, data were acquired from the Mulgeum·Mae-ri site located in the lower part of the Nakdong River, which is the areas with frequent algal bloom. The Chlorophyll-a(Chl-a) value of field-collected samples and the Chl-a estimation formula derived from the correlation between the spectral indices were comparatively analyzed. As a result, among the spectral indices, Maximum Chlorophyll Index (MCI) showed the highest statistical significance(R2=0.91, RMSE=8.1mg/m3). As a result of mapping the distribution of algae by applying MCI to the image of August 05, 2021 with the highest Chl-a concentration, the river area was 1.7km2, the Warning area among the indicators of the algal bloom warning system was 1.03km2(60.56%) and the Algal Bloom area occupied 0.67km2(39.43%). In addition, as a result of calculating the number of occurrence days in the area corresponding to the "Warning" in the images during the study period (July 01, 2021~November 01, 2021), the Chl-a concentration above the "Warning" level was observed in the entire river section from 12 to 19 times. The algal bloom monitoring method proposed in this study can supplement the limitations of the existing algal bloom warning system and can be used to provide information on a point-by-point basis as well as information on a spatial range of the algal bloom warning area.

A study of newly recorded genus and species for aerial cyanobacteria Wilmottia murrayi(Oscillatoriales, Cyanobacteria) in Korea (기중성 남세균, Wilmottia murrayi (Oscillatoriales, Cyanobacteria)의 국내 미기록속 및 미기록종에 대한 연구)

  • Lee, Nam-Ju;Seo, Yoseph;Ki, Jang-Seu;Lee, Ok-Min
    • Korean Journal of Environmental Biology
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    • v.37 no.3
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    • pp.260-267
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    • 2019
  • Two aerophytic cyanobacteria from the rockwall of Haje port located in Geum river, Korea, were isolated in unialgal cultures and submitted to polyphasic evaluation. The filaments of the populations presented solitary or several to many parallel arranged. The straight trichomes were not attenuated with rounded apical cell. Phylogenetic analyses based on 16S rDNA sequences indicated that these populations formed the same clade with Wilmottia murrayi and had 99% or greater DNA similarity. Through the ultrastructure of the TEM, these populations showed parietal thylakoid arrangement, which coincides with family Coleofasciculaceae. From the above results, we reported the newly recorded genus Wilmottia, and species W. murrayi in Korea.

Investigating the Impact of Best Management Practices on Nonpoint Source Pollution from Agricultural Lands

  • ;Saied Mostaghimi
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.32 no.E
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    • pp.1-19
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    • 1990
  • Abstract Over the last several decades, crop production in the United States increased largely due to the extensive use of animal waste and fertilizers as plant nutrient supplements, and pesticides for crops pests and weed control. Without the application of animal waste best management, the use of animal waste can result in nonpoint source pollution from agricultural land area. In order to increase nutrient levels and decrease contamination from agricultural lands, nonpoint source pollution is responsible for water quality degradation. Nonpoint source pollutants such as animal waste, ferilizers, and pesticides are transported primarily through runoff from agricultural areas. Nutrients, primarily nitrogen and phosphorus, can be a major water quality problem because they cause eutrophic algae growth. In 1985, it was presented that Watershed/Water Quality Monitoring for Evaluation BMP Effectiveness was implemented for Nomini Creek Watershed, located in Westmoreland County, Virginia. The watershed is predominantly agricultural and has an aerial extent of 1505 ha of land, with 43% under cropland, 54% under woodland, and 3% as homestead and roads. Rainfall data was collected at the watershed from raingages located at sites PNI through PN 7. Streams at stations QN I and QN2 were being measured with V-notch weirs. Water levels at the stream was measured using an FW-l Belfort (Friez FWl). The water quality monitoring system was designed to provide comprehensive assessment of the quality of storm runoff and baseflow as influenced by changes in landuse, agronomic, and cultural practices ill the watershed. As this study was concerned with the Nomini Creek Watershed, the separation of storm runoff and baseflow measured at QNI and QN2 was given by the master depletion curve method, and the loadings of baseflow and storm runoff for TN (Total Nitrogen) and TP (Total Phosphorus) were analyzed from 1987 through 1989. The results were studied for the best management practices to reduce contamination and loss of nutrients, (e.g., total nitrogen and total phosphorus) by nonpoint source pollution from agricultural lands.

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