• Ocean and Polar Research
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• v.29 no.2
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• pp.155-165
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• 2007

Recently, coastal erosion has become an important issue in relation to keeping territorial integrity of a nation as well as protecting the coastal marine ecosystem. This study examines some apprehensions about the effectiveness of the existing legal system concerning prevention of coastal erosion. After examining several case studies in Scotland, the USA, and the Netherlands, this study proposes appropriate revisional legal measures that can be applied in Korea: first, the coastal management act should be revised for stronger, enforceable and practical legal grounds emphasizing minimal coastal erosion; second, the proposed "Comprehensive Coastal Erosion Prevention Plan" should be established and implemented in four steps such as characterization of issues through surveys of stakeholders and demand assessment, plan establishment, execution, and maintenance and management; third, there is a demand to establish and implement a legal framework to support monitoring activities which provide important data and information to prevent coastal erosion; fourth, the chronic region of damage is designated as the "Vulnerable Area" to be protected and managed accordingly; fifth, the "Coastal Coordination council" is established and operated for developing an integrated coastal management policy and visions for sustainable coastal zone, as well as coordinating and intervention of any activities which may cause coastal erosion.

• Ocean and Polar Research
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• v.34 no.2
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• pp.219-228
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• 2012

Tintinnid species distribution has been monitored in the northern East China Sea (ECS) in the summer of 2006 through 2011. This is used to understand the water mass movements in the northern ECS. The warm oceanic tintinnid species had largely spread in 2007 in the area, indicating that there was greater warm water extension into the northern ECS. However the extension of neritic water within the Changjiang diluted water mass has strengthened in 2008 and 2010 because the neritic species distribution had relatively grown in both years. These annual results based on the biological indicators of tintinnid species are well matched with the salinity change in the area. The warm oceanic species, Dadayiella ganymedes had frequently occurred over the study years and had shown a significant relationship with the salinity change. This is valuable as a key stone species for monitoring the intrusion of the Kuroshio within the northern ECS. Information from tintinnid biological indicators can support physical oceanography data to confirm ambiguous water mass properties.

• Journal of Korea Multimedia Society
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• v.13 no.1
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• pp.83-92
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• 2010

Sensor networks applications can be employed by a vast range of applications. Environmental information monitoring systems and ecosystem surveillance are representative application using sensor networks. But, limited battery capacity of sensor node is a key feature that determines lifetime of networks and system. It also affects quality of collected data. We recognized factors that affects lifetime of environment sensor nodes through the experiment of environment information system deployed over campus. We will show useful proposals for future construction of sensor network application systems.

• Journal of Environmental Impact Assessment
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• v.18 no.6
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• pp.393-399
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• 2009

The water of rivers and lakes are affecting by point and nonpoint source pollutions. The point source pollution can be controlled by establishing the treatment plants. However, nonpoint source pollution by various human activities is not easy to be controlled because it is difficult to determine the exits of the water flow and have many exit points. Due to contribution of nonpoint source pollution, the achievement ratio of water quality in rivers and lakes is not high. TMDL is the outstanding water quality control policy because all of the pollutant loadings from the watershed area are counting on the input loads. Our aqua-ecosystem has self-purification process by biological, physical and ecological processes. The self-purification process can remove the pollutant load from background concentrations. Usually forest area is main source of background concentrations. In Korea, about 70% of the national boundary area consists of mountains. This study is conducting as part of long-term monitoring to determine the Event Mean Concentration during a storm. The monitoring was performed on a broad-leaved tree area.

• Korean Journal of Environmental Agriculture
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• v.29 no.4
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• pp.315-327
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• 2010

A vast increase of antibiotics usage in concentrated animal feeding operations (CAFOs) over the last few decades has led to an environmental risk due to the presence of antibiotic residuals in different environmental compartments. Especially in Korea, the use of antibiotics in CAFOs is much greater than in other developed countries. One of the primary adverse impacts of antibiotic residuals in the environment is that they readily produce antibiotic resistant bacteria (ARB), which exert detrimental effects on the ecosystem as well as human health. In this article, the impacts of veterinary antibiotic residuals with regard to their quantification and management, and desirable remediation technologies have been widely reviewed. This review article concluded that the continuous monitoring should be required to ensure the safety of antibiotic residuals in the surrounding environments. Furthermore, the management guidelines of antibiotic residuals need to be developed in the future.

• Applied Chemistry for Engineering
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• v.27 no.6
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• pp.565-572
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• 2016

While there have been great demands on improving domestic water pollution issues, the necessity for real time monitoring of particular drug residues in water resources has been raised since drug residues including antibiotics could provoke new trains of drug-resistant bacteria in water environments. Among many different types of drugs used for pharmaceutical treatment, antibiotics are considered to be one of the most hazardous to our ecosystem since they can rapidly promote the spreading of drug-resistant bacteria in water environments. In this mini-review, we will highlight recent developments made on creating in-situ sensing platforms for the fast monitoring of antibiotic residues in aquatic environmental samples focusing on optical and electrochemical techniques. Related recent technology developments and the resulting economy effects will also be discussed.

• Journal of the Korean Geographical Society
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• v.33 no.3
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• pp.435-446
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• 1998

This Paper reports that a new remote sensing techlique focused on a narrow and long strip target (e.g. 15m wide and 100km long) has been specifically developed for pipeline ROW (Right-Of-Way) recovery monitoring. With video it was possible to isolate the maior vegetation communities of the narrow pipeline ROW with acceptable spatial precision by visual or quantitative methods. It was particuarly useful when used to assess a variety of spatial patch dynamics for ROW recovery through digital change-detection techniques in a GIS environment. The main conclusion of this paper is that VSM is a realistic operational technique for a pipeline ROW application. The results also indicate that VSM could be extensively used for other examples of linear thematic mapping.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.72-74
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• 2003

Forest canopy density is an ideal representative of the forest habitat situations. It can directly or indirectly depict the canopy structure and gap size in the forestland, thus could be applied to assessment of wildlife’s diversit y. Since population survey of vegetation and wildlife diversities is a key issue for sustainable forest ecosystem management, many research efforts have been focused on forest canopy density using multispectral data in the last two decades. Unfortunately, prediction of canopy density using large scaling remote sensing data remains a challenging issue. Due to recent advances in hyperspectral image sensors hyperspectral imagery is now available for environmental monitoring. In this paper, we conduct experiments to monitor complicated environments of forestland that can be captured by using hyperspectral imagery and further be analyzed to test a prediction model of forest canopy density. The results show that 95% of canopy density could be well described by using 2 difference vegetation indices (DVIs), which are difference of blue and green reflectances rband_100-rband_150 and difference of 2 short wave infrared reflectancse rband_406-rband_410 With the wavelengths of band no. 100, 150, 406, and 410 specified by 462.39 nm, 534.40 nm, 918.22 nm and 924.41 nm respectively.

• Journal of Marine Bioscience and Biotechnology
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• v.5 no.4
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• pp.46-50
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• 2011

Phytoplankton forms the base of sea ecosystems. Various environmental factors and anthropogenic pollution, primarily, affect the concentration and photosynthetic activity algal cells, and the changes in the phytoplankton photosynthesis influence other elements of aquatic ecosystems. The increase in anthropogenic pollution markedly damages natural aquatic ecosystems, particularly, in the coastal zones, where an intense blooming of microalgae occurs, including the release of highly dangerous ecotoxic substances of various chemical natures (red tides). In this study, we tried to apply as a parameter for the algal blooming prediction in the ocean from fluorescence values in the taken samples around Busan coastal area. F0 value was almost constant but Fv/Fm value showed the irregular pattern. We presume that these results are due to the changes of the ocean environment and climate. To predict or give early warning the algal blooming, we need to investigate the specific area or fixed area through real-time monitoring. Especially, algal blooming prediction or warning can be achieved via continuously monitoring and interpretation of fluorescence changes.

• Journal of the Korean Society of Visualization
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• v.19 no.2
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• pp.41-47
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• 2021

River and stream are the important water supply source in our lives. Eutrophication causes excessive green algae growth including microcystis, which makes harmful to ecosystem and human health. Therefore, the water purification process to remove green algae is essential. In Korea, green algae alarm system exists depending on the concentration of green algae cells in river or stream. To maintain the growth amount under control, green algae monitoring system is being used. However, the unmanned, small and automatic monitoring system would be preferable. In this study, we developed the 3D printed device to measure the concentration of green algae cell using microfluidic droplet generator and deep learning. Deep learning network was trained by using transfer learning through pre-trained deep learning network. This newly developed microfluidic cell counter has sufficient accuracy to be possibly applicable to green algae alarm system.