• Title/Summary/Keyword: resources evaluation

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Evaluation of Space-based Wetland InSAR Observations with ALOS-2 ScanSAR Mode (습지대 변화 관측을 위한 ALOS-2 광대역 모드 적용 연구)

  • Hong, Sang-Hoon;Wdowinski, Shimon
    • Korean Journal of Remote Sensing
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    • v.38 no.5_1
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    • pp.447-460
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    • 2022
  • It is well known that satellite synthetic aperture radar interferometry (InSAR) has been widely used for the observation of surface displacement owing to earthquakes, volcanoes, and subsidence very precisely. In wetlands where vegetation exists on the surface of the water, it is possible to create a water level change map with high spatial resolution over a wide area using the InSAR technique. Currently, a number of imaging radar satellites are in operation, and most of them support a ScanSAR mode observation to gather information over a large area at once. The Cienaga Grande de Santa Marta (CGSM) wetland, located in northern Colombia, is a vast wetland developed along the Caribbean coast. The CGSM wetlands face serious environmental threats from human activities such as reclamation for agricultural uses and residential purposes as well as natural causes such as sea level rise owing to climate change. Various restoration and protection plans have been conducted to conserve these invaluable environments in recognition of the ecological importance of the CGSM wetlands. Monitoring of water level changes in wetland is very important resources to understand the hydrologic characteristics and the in-situ water level gauge stations are usually utilized to measure the water level. Although it can provide very good temporal resolution of water level information, it is limited to fully understand flow pattern owing to its very coarse spatial resolution. In this study, we evaluate the L-band ALOS-2 PALSAR-2 ScanSAR mode to observe the water level change over the wide wetland area using the radar interferometric technique. In order to assess the quality of the interferometric product in the aspect of spatial resolution and coherence, we also utilized ALOS-2 PALSAR-2 stripmap high-resolution mode observations.

The Interrelationship between Riparian Vegetation and Hydraulic Characteristics during the 2020 Summer Extreme Flood in the Seomjin-gang River, South Korea (2020 여름 섬진강 대홍수시 하안식생과 수리 특성의 상호관계)

  • Lee, Cheolho;Lee, Keonhak;Kim, Hwirae;Baek, Donghae;Kim, Won;Kim, Daehyun;Lee, Hyunjae;Woo, Hyoseop;Cho, Kang-Hyun
    • Ecology and Resilient Infrastructure
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    • v.8 no.2
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    • pp.79-87
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    • 2021
  • Because active interactions occur among vegetation, hydrology, and geomorphology in riparian systems, any changes in one of these factors can significantly affect the other two. In this study, we evaluated these interactions at four sites (two in Gajeong and two in Hahan) along the Seomjin-gang River that was substantially devastated by an extreme flood in 2020. We examined the relationship between the riparian vegetation and the hydraulic characteristics of the flood using remote sensing, hydraulic modeling, and field surveys combined. The evaluation results showed that the floods caused a record-breaking rise of up to 43.1 m above sea level at the Yeseong-bridge stage gauge station (zero elevation 27.4 m) located between the Gajeong and Hahan sites, with the shear stress being four times higher in Hahan than in Gajeong. Additionally, the water level during the flood was estimated to be a maximum of 1 m higher depending on the location in the presence of riparian plants. Furthermore, both sites underwent extensive biological damage due to the flood, with 78-80% loss in vegetation, with preferential damage observed in large willow species, compared to Quercus acutissima. The above findings imply that all plant species exhibit different vulnerabilities towards extreme floods and do not induce similar behavior towards events causing a disturbance. In conclusion, we developed strategies for effectively managing riparian trees by minimizing flood hazards that could inevitably cause damage.

Evaluation of Efficient Pb Removal from Aqueous Solutions using Biochar Beads (바이오차 비드를 이용한 수용액에서 Pb의 효율적인 처리효율 평가)

  • Yu-Jin Park;Jae-Hoon Lee;Jun-Suk Rho;Ah-Young Choi;Sin-Sil Kim;Seul-Rin Lee;Jong-Hwan Park;Dong-Cheol Seo
    • Korean Journal of Environmental Agriculture
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    • v.42 no.1
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    • pp.35-43
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    • 2023
  • The fine particulate structure of biochar limits its use as a heavy metal adsorbent, and makes separation of the biochar from the solution technically challenging, thereby reducing recovery of the heavy metals. To address this issue, this study prepared biochar beads under various mixing conditions and investigated their efficiency in removing Pb from aqueous solutions using adsorption models. The biochar beads were produced by mixing alginate and biochar at different ratios: alginate bead (AB), 1% biochar + bead (1-BB), 2.5% biochar + bead (2.5-BB), and 5% biochar + bead (5-BB). The results revealed that the Freundlich isothermal adsorption pattern of the biochar beads to Pb was of the L-type. The highest Langmuir isothermal adsorption capacity (28.736 mg/g) was observed in the 2.5-BB treatment. The dominant mechanism among the kinetic adsorption characteristics of biochar beads for Pb was chemical adsorption. Additionally, the optimal pH range for Pb adsorption was found to be between 4 and 5.5. The highest Pb removal efficiency (97.9%) was achieved when 26.6 g/L of biochar beads were used. These findings suggest that biochar beads are an economical and highly efficient adsorbent that enables separation and recovery of fine biochar particles.

Prediction of Species Distribution Changes for Key Fish Species in Fishing Activity Protected Areas in Korea (국내 어업활동보호구역 주요 어종의 종분포 변화 예측)

  • Hyeong Ju Seok;Chang Hun Lee;Choul-Hee Hwang;Young Ryun Kim;Daesun Kim;Moon Suk Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.802-811
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    • 2023
  • Marine spatial planning (MSP) is a crucial element for rational allocation and sustainable use of marine areas. Particularly, Fishing Activity Protected Areas constitute essential zones accounting for 45.6% designated for sustainable fishing activities. However, the current assessment of these zones does not adequately consider future demands and potential values, necessitating appropriate evaluation methods and predictive tools for long-term planning. In this study, we selected key fish species (Scomber japonicus, Trichiurus lepturus, Engraulis japonicus, and Larimichthys polyactis) within the Fishing Activity Protected Area to predict their distribution and compare it with the current designated zones for evaluating the ability of the prediction tool. Employing the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report scenarios (SSP1-2.6 and SSP5-8.5), we used species distribution models (such as MaxEnt) to assess the movement and distribution changes of these species owing to future variations. The results indicated a 30-50% increase in the distribution area of S. japonicus, T. lepturus, and L. polyactis, whereas the distribution area of E. japonicus decreased by approximately 6-11%. Based on these results, a species richness map for the four key species was created. Within the marine spatial planning boundaries, the overlap between areas rated "high" in species richness and the Fishing Activity Protected Area was approximately 15%, increasing to 21% under the RCP 2.6 scenario and 34% under the RCP 8.5 scenario. These findings can serve as scientific evidence for future evaluations of use zones or changes in reserve areas. The current and predicted distributions of species owing to climate change can address the limitations of current use zone evaluations and contribute to the development of plans for sustainable and beneficial use of marine resources.

Trade-off Analysis Between National Ecosystem Services Due to Long-term Land Cover Changes (장기간 토지피복 변화에 따른 국내 생태계서비스 간 상쇄효과(Trade-off) 분석)

  • Yoon-Sun Park;Young-Keun Song
    • Korean Journal of Environment and Ecology
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    • v.38 no.2
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    • pp.204-216
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    • 2024
  • Understanding the trade-off effect in ecosystem services and measuring the interrelationships between services are crucial for managing limited environmental resources. Accordingly, in this study, we identified the dominant trends and increases and decreases in ecosystem services derived from changes in land cover over about 30 years and tracked changes in the relationships between ecosystem services that occurred over time. Through it, we determined the relationship between land cover changes and ecosystem service changes, as well as the distinct characteristics of service changes in different areas. The research primarily utilized the InVEST model, an ecosystem service assessment model. After standardizing the evaluation results between 0 and 1, it went through principal component analysis, a dimensionality reduction technique, to observe the time-series changes and understand the relationships between the services. According to the research results, the area of urbanized regions dramatically increased between 1989 and 2019, while forests showed a significant increase between 2009 and 2019. Between 1989 and 2019, the national ecosystem service supply witnessed a 13.9% decrease in water supply, a 10.5% decrease in nitrogen retention, a 2.6% increase in phosphorus retention, a 0.9% decrease in carbon storage, a 1.2% increase in air purification, and a 3.4% decrease in habitat quality. Over the past 30 years, South Korea experienced an increase in urbanized areas, a decrease in agricultural land, and an increase in forests, resulting in a trade-off effect between phosphorus retention and habitat quality. This study concluded that South Korea's environment management policies contribute to improving ecosystem quality, which has declined due to urbanization, and maximizing ecosystem services. These findings can help policymakers establish and implement forestry policies focusing on sustainable environmental conservation and ecosystem service provision.

Study on the Possibility of Estimating Surface Soil Moisture Using Sentinel-1 SAR Satellite Imagery Based on Google Earth Engine (Google Earth Engine 기반 Sentinel-1 SAR 위성영상을 이용한 지표 토양수분량 산정 가능성에 관한 연구)

  • Younghyun Cho
    • Korean Journal of Remote Sensing
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    • v.40 no.2
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    • pp.229-241
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    • 2024
  • With the advancement of big data processing technology using cloud platforms, access, processing, and analysis of large-volume data such as satellite imagery have recently been significantly improved. In this study, the Change Detection Method, a relatively simple technique for retrieving soil moisture, was applied to the backscattering coefficient values of pre-processed Sentinel-1 synthetic aperture radar (SAR) satellite imagery product based on Google Earth Engine (GEE), one of those platforms, to estimate the surface soil moisture for six observatories within the Yongdam Dam watershed in South Korea for the period of 2015 to 2023, as well as the watershed average. Subsequently, a correlation analysis was conducted between the estimated values and actual measurements, along with an examination of the applicability of GEE. The results revealed that the surface soil moisture estimated for small areas within the soil moisture observatories of the watershed exhibited low correlations ranging from 0.1 to 0.3 for both VH and VV polarizations, likely due to the inherent measurement accuracy of the SAR satellite imagery and variations in data characteristics. However, the surface soil moisture average, which was derived by extracting the average SAR backscattering coefficient values for the entire watershed area and applying moving averages to mitigate data uncertainties and variability, exhibited significantly improved results at the level of 0.5. The results obtained from estimating soil moisture using GEE demonstrate its utility despite limitations in directly conducting desired analyses due to preprocessed SAR data. However, the efficient processing of extensive satellite imagery data allows for the estimation and evaluation of soil moisture over broad ranges, such as long-term watershed averages. This highlights the effectiveness of GEE in handling vast satellite imagery datasets to assess soil moisture. Based on this, it is anticipated that GEE can be effectively utilized to assess long-term variations of soil moisture average in major dam watersheds, in conjunction with soil moisture observation data from various locations across the country in the future.

Text Mining-Based Emerging Trend Analysis for e-Learning Contents Targeting for CEO (텍스트마이닝을 통한 최고경영자 대상 이러닝 콘텐츠 트렌드 분석)

  • Kyung-Hoon Kim;Myungsin Chae;Byungtae Lee
    • Information Systems Review
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    • v.19 no.2
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    • pp.1-19
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    • 2017
  • Original scripts of e-learning lectures for the CEOs of corporation S were analyzed using topic analysis, which is a text mining method. Twenty-two topics were extracted based on the keywords chosen from five-year records that ranged from 2011 to 2015. Research analysis was then conducted on various issues. Promising topics were selected through evaluation and element analysis of the members of each topic. In management and economics, members demonstrated high satisfaction and interest toward topics in marketing strategy, human resource management, and communication. Philosophy, history of war, and history demonstrated high interest and satisfaction in the field of humanities, whereas mind health showed high interest and satisfaction in the field of in lifestyle. Studies were also conducted to identify topics on the proportion of content, but these studies failed to increase member satisfaction. In the field of IT, educational content responds sensitively to change of the times, but it may not increase the interest and satisfaction of members. The present study found that content production for CEOs should draw out deep implications for value innovation through technology application instead of simply ending the technical aspect of information delivery. Previous studies classified contents superficially based on the name of content program when analyzing the status of content operation. However, text mining can derive deep content and subject classification based on the contents of unstructured data script. This approach can examine current shortages and necessary fields if the service contents of the themes are displayed by year. This study was based on data obtained from influential e-learning companies in Korea. Obtaining practical results was difficult because data were not acquired from portal sites or social networking service. The content of e-learning trends of CEOs were analyzed. Data analysis was also conducted on the intellectual interests of CEOs in each field.

Establishing Optimal Conditions for LED-Based Speed Breeding System in Soybean [Glycine max (L.) Merr.] (LED 기반 콩[Glycine max (L.) Merr.] 세대단축 시스템 구축을 위한 조건 설정)

  • Gyu Tae Park;Ji-Hyun Bae;Ju Seok Lee;Soo-Kwon Park;Dool-Yi Kim;Jung-Kyung Moon;Mi-Suk Seo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.68 no.4
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    • pp.304-312
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    • 2023
  • Plant breeding is a time-consuming process, mainly due to the limited annual generational advancement. A speed breeding system, using LED light sources, has been applied to accelerate generational progression in various crops. However, detailed protocols applicable to soybeans are still insufficient. In this study, we report the optimized protocols for a speed breeding system comprising 12 soybean varieties with various maturity ecotypes. We investigated the effects of two light qualities (RGB ratio), three levels of light intensity (PPFD), and two soil conditions on the flowering time and development of soybeans. Our results showed that an increase in the red wavelength of the light spectrum led to a delay in flowering time. Furthermore, as light intensity increased, flowering time, average internode length, and plant height decreased, while the number of nodes, branches, and pods increased. When compared to agronomic soil, horticultural soil resulted in an increase of more than 50% in the number of nodes, branches, and pods. Consequently, the optimal conditions were determined as follows: a 10-hour short-day photoperiod, an equal RGB ratio (1:1:1), light intensity exceeding 1,300 PPFD, and the use of horticultural soil. Under these conditions, the average flowering time was found to be 27.3±2.48 days, with an average seed yield of 7.9±2.67. Thus, the speed breeding systems reduced the flowering time by more than 40 days, compared to the average flowering time of Korean soybean resources (approximately 70 days). By using a controlled growth chamber that is unaffected by external environmental conditions, up to 6 generations can be achieved per year. The use of LED illumination and streamlined facilities further contributes to cost savings. This study highlights the substantial potential of integrating modern crop breeding techniques, such as digital breeding and genetic editing, with generational shortening systems to accelerate crop improvement.

Evaluation of Fruit Yield and Quality of Netted Melon, Water and Nutrient Use Efficiency in a Closed Hydroponic System (순환식 수경재배 멜론의 수량과 품질, 관개수 및 양분 이용 효율성 평가)

  • Minju Shin;Seungri Yoon;Jin Hyun Kim;Ho Jeong Jeong;Sung Kyeom Kim
    • Journal of Bio-Environment Control
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    • v.32 no.4
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    • pp.492-500
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    • 2023
  • The spectrum of this study was research on the closed hydroponic cultivation of netted melons (Cucumis melo L.) using coir substrate, analyzing the impact of this cultivation method on melon yield, fruit quality, and the efficiency of water and nutrient usage. The experimental results showed that the average fruit weight of the melons grown in a closed system was 71.4 g higher than that of the open system, and the fruit width was on average 0.2 cm larger, showing a statistically significant difference. However, there was no difference in the average sugar content of the fruit flesh and height. Although there is no substantial commercial difference, it is conjectured that the change in the macronutrients ratio in the irrigation has played a role in the statistically significant increase in fruit weight, which is attributed to changes in the crops' nutrient uptake concentrations. This necessitates further research for a more comprehensive understanding. In terms of the productivity of irrigation required to produce the fruit, applying the closed system resulted in an increase of 7.6 kg/ton compared to the open system, saving 31.6% of water resources. Additionally, in terms of nutrients, cultivating in a closed system allowed for savings of approximately 59, 25, 55, 83, 76, and 87% of N, P, K, Ca, Mg, and S, respectively, throughout the entire cultivation period. As the drainage was reused, the ratios of NO3- and Ca2+ increased up to a maximum of 9.6 and 9.1%, respectively, while the ratios of other ions gradually decreased. In summary, these results suggest that closed hydroponic cultivation can effectively optimize the use of water and fertilizer while maintaining excellent fruit quality in melon cultivation.

A Study on Revitalizing Innovative Startup Ecosystems Using Public Technologies (공공기술을 활용한 혁신 창업생태계 활성화 방안 연구)

  • Tae-Uk Ahn;Tae-Won Kang
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.4
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    • pp.231-241
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    • 2024
  • Discovering innovative startups that use public technologies from universities and government-funded research institutes is crucial for maintaining national competitiveness. Advancing public R&D technology, discovering entrepreneurs from research institutes, and fostering and investing in deep-tech startups are very important at the national level. However, there is a lack of research on activating startups using public technologies, and research analyzing each governance entity is needed to activate the innovation startup ecosystem. Therefore, this study conducted an empirical analysis of the priorities for revitalizing the innovation startup ecosystem among researchers, research institutes, innovative startups, and the government, which constitute the public technology governance. The results of this study revealed that the sustainability of innovative startups (0.308), government innovation startup activation (0.298), research institutions discovering and fostering startups (0.221), and researcher's characteristics (0.173) were the most significant factors in the public R&D technology innovation startup ecosystem. And the sub-factors of researcher's characteristics, seizing business opportunities (0.305) was most important, and creating a startup-friendly culture (0.293) was most important among the sub-factors of research institutions discovering and fostering startups. Investment funds and procurement (0.373) was the most critical sub-factor for the sustainability of innovative startups, while a dedicated fund for public technology (0.305) was the most important among the sub-factors of government schemes for promoting innovative startups. A total of 20 factors were analyzed sequentially according to their importance in the weights for evaluation factors and sub-factors. By sub-factor, investment and financing for innovative startups (0.115), dedicated government fund for public technology (0.091), securing high-quality human resources for innovative startups (0.078), improving government regulations and permits related to innovative technologies (0.074), and creating a startup-friendly culture in research institutions (0.065) were the most important. This result emphasizes the significance of securing competitiveness to become a sustainable public technology startup. In addition, based on entrepreneurship experience, 'dedicated funding for public technology' was most important for the group with startup experience, while the group with no experience needed more 'investment and funding'. Furthermore, By region, 'improving government regulations and permits' was the highest priority in the Seoul metropolitan area, while 'attracting investment and financing' was the most important in Daejeon. Therefore, the results of this research, it is important to give policy priority to innovative startup companies in order to activate the innovation startup ecosystem in the public technology sector. The political and practical implications were derived that long-term (10 years or more) investment and funding for deep tech companies and the establishment of public technology-only funds are the most urgent and important.

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