• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.216-216
• /
• 2015

Frequent hydro-meteorological events caused by global climate change and human exacerbate activities, make the water resource problem more complicated. The increasing speed urbanization brings a significant impact on the city flood control and security, water supply safety, water ecological security, water environment safety and the water engineering security in China, and puts forward higher requirements to urban water integrated management, undoubtedly which become the biggest obstacle for water ecological civilization construction, thus urgent requiring an advanced methods to enhance the effectiveness of the water integrated management. The other fields of smart ideas point out a development path for water resource development. The construction demand of smart water resource is expounded in the paper, combining the philosophy of modern Internet of things with the application of cloud computing technology. The concept of smart water resource is analyzed, the connotation characteristics of smart water resource is extracted, and the general model of smart water resource is refined. Then, the frame structure of smart water resource is put forward. The connotation and the overall framework of the smart water resource represent a higher level of water resource informationization development and provide a comprehensive scientific and technological support to transform water resource management from an extensive, passive, static, branch and traditional management to a fine, active, dynamic, collaborative and modern management.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.34 no.2
• /
• pp.49-57
• /
• 2018

The purpose of this study is to analyze the current condition of green building education, which is a necessary condition to activate green architecture, with the need to reduce greenhouse gas emissions in the building sector. The main results are as follows. First, the level of education and the level of domestic green architecture were generally underestimated. Second, in order to increase the satisfaction of participants in green building education, it is necessary to increase the number of courses and to increase the number of lecturers who have excellent practical skills. Third, there is a need to strengthen green building programs related to BEMS and green remodeling. Fourth, it is necessary to expand the education on green architecture for the people in the architectural planning and design field and the related field officials. Fifth, green building education needs to be implemented in conjunction with curriculum of elementary, middle and high school. Sixth, it is necessary to diversify the PR(public relations) channels of the green building education program and to provide a way to give the employment increase point when the curriculum is completed. Seventh, there is a need to expand administrative and financial incentives for green architecture in order to revitalize green architecture education.

• Economic and Environmental Geology
• /
• v.54 no.6
• /
• pp.649-657
• /
• 2021

This paper aims to study the impact of natural disasters on per capita income in Vietnam both the short and long-term, specifically impact loss of income caused by the extreme drought 2013 for agriculture, forestry and fishery in Phu Yen Province, Central Vietnam. The study valued economic damage by applying the synthetic control method (SCM), which is a statistical method to evaluate the effect of an intervention (e.g. natural disasters) in different case studies. It estimates what would have happened to the treatment group if it had not received the treatment by constructing a weighted combination of control units (e.g. control provinces). The results showed that the 2013 drought caused a decrease in income per capita, mainly in the agriculture, forestry, and fishery sector in Phu Yen. The reduced income was estimated to be VND 160,000 (1 USD = 23,500 VND (2021)) for one person per month, accounting for 11% of total income per capita and continued to affect the income 6 years later. Therefore, authorities need to invest in preventive solutions such as early and accurate warnings to help people to be more proactive in disaster prevention.

• Journal of Information Technology Services
• /
• v.21 no.6
• /
• pp.117-125
• /
• 2022

In respond to climate change caused by global environmental problems, countries around the world are actively promoting the advancement of new electricity industries. The new energy business is being applied to energy storage systems (ESS), electric vehicle charging business, and power demand response using cutting edge technologies. In 2022, the Korean government is also establishing a policy stance to foster new energy industries and making efforts to improve its responsiveness to power demand response with the innovative technologies. In Korea, attempts to commercialize energy power are also being made in the private and public sectors to control energy power in houses, buildings, and industries. For example, private companies, local governments, and central government are making all-out efforts to develop new energy industry models through joint investment. There are forms such as establishing energy-independent facilities by region, establishing an electric vehicle charging system, controlling urban lighting systems with Information technologies, and managing demand between power suppliers and power consumers. This study examined the business model applied with energy storage system, electric vehicle charging business, smart lighting, and power demand response based on information communication technology to examine the site where smart energy system was introduced. According to this study, company missions and government tasks are suggested to apply new energy business technologies as economical energy solutions that meet the purpose of use by region, industry, and company.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.75-75
• /
• 2021

본 연구는 기후변화에 따른 강우현상의 극한화에 대응한 도시치수규모 설정 방안에 대한 연구이다. 발생가능한 모든 강우상태를 강우지속시간과 강우량 매트릭스로 구성하고 모든 강우상태에 대한 침수규모를 사전에 산정한 후 도시침수 상태를 추정하는 2변수(강우량, 강우지속시간) 회귀식을 개발하였다. 치수규모 결정을 위해서 지금까지 사용해 오던 "발생빈도" 기준의 극치통계의 개념적, 공학적 의미를 재해석하여 물리적으로 의미가 있는 "침수 특성치" 기준으로 대전환하자는 것이다. 기술적으로 가능해졌기 때문이다. 도시유역의 침수를 정량적(침수심, 침수면적)으로 모의할 수 있는 방법을 제시하기 위한 침수상태의 기준이 될 침수특성치로는 관로첨두유출량, 최대침수면적, 침수총량, 평균침수심, 특정지점의 최대침수심, 특정지점의 침수지속시간 등 6가지를 선정하였다. 우리나라에서 발생가능한 모든 강우상태에 대한 침수 발생 가능성을 점검하여 침수특성치를 분석하고 해당 유역의 "물리적/사회적 특성"을 고려한 "사회적 합의"에 의해 "감당할 수 있는 피해의 정도"에 맞춘 도시유역 치수계획규모를 설정하는 방안을 확립하는 것이다. 또 결과로 구해지는 다음과 같은 형태의 유역별 침수특성치 산정식(2변수 회귀식)을 각 유역별로 구해 놓으면 기상예보(강우지속시간-강우량)에 따라 유역의 침수 특성치를 쉽게 추정하여 사전에 확립해둔 방재대책을 시행할 수 있게 한다.

• Journal of Species Research
• /
• v.12 no.4
• /
• pp.299-306
• /
• 2023

A northern lineage plant, Stellaria filicaulis (Caryophyllaceae), was newly found in Yeoncheon-gun, Gyeonggi-do of South Korea. This species is distributed in China, Japan, Korea, Mongolia, and Russia. On the Korean Peninsula, St. filicaulis, however, has been known to grow in North Korea. Species identification was confirmed using morphological characteristics and DNA sequence data, while comparing with materials obtained from herbarium specimens. Stellaria filicaulis is distinguished from St. longifolia by having smooth surface of stem, petals about twice longer than sepals. On the neighbor-joining tree, St. filicaulis formed a clade, and the species is closely related to St. longifolia of the Parviflorae clade. Details of the morphological characters, the type specimens, voucher specimens data, and photographs of St. filicaulis in South Korea are presented. In addition, it is likely that a new habitat will be found by plant biodiversity field surveys through the middle part of the Korean Peninsula. Further research is needed to determine its population size, distribution, and threats, as well as identify appropriate locations for conservation collection of germplasm.

• Korean Journal of Construction Engineering and Management
• /
• v.24 no.6
• /
• pp.81-90
• /
• 2023

Climate change has resulted in increased frequency and intensity of heat waves, which poses a significant threat to the health and safety of construction workers, particularly those engaged in labor-intensive and heat-stress vulnerable working environments. To address this challenge, this study aimed to propose an interpretable machine learning approach for forecasting personal heat strain by considering the cumulative effect of heat exposure as a situational variable, which has not been taken into account in the existing approach. As a result, the proposed model, which incorporated the cumulative working time along with environmental and personal variables, was found to have superior forecast performance and explanatory power. Specifically, the proposed Multi-Layer Perceptron (MLP) model achieved a Mean Absolute Error (MAE) of 0.034 (℃) and an R-squared of 99.3% (0.933). Feature importance analysis revealed that the cumulative working time, as a situational variable, had the most significant impact on personal heat strain. These findings highlight the importance of systematic management of personal heat strain at construction sites by comprehensively considering the cumulative working time as a situational variable as well as environmental and personal variables. This study provided a valuable contribution to the construction industry by offering a reliable and accurate heat strain forecasting model, enhancing the health and safety of construction workers.

• Journal of Forest and Environmental Science
• /
• v.39 no.4
• /
• pp.213-224
• /
• 2023

As abnormal weather events due to climate change continue to rise, landslide damage is also increasing. Given the substantial time and financial resources required for post-landslide recovery, it becomes imperative to formulate a proactive response plan. In this regard, landslide susceptibility analysis has emerged as a valuable tool for establishing preemptive measures against landslides. Accordingly, this study conducted an annual landslide susceptibility analysis using the history of landslides that occurred over many years in the Jeolla region, and analyzed areas with a high potential for landslides in the Jeolla region. The analysis employed an ensemble model that amalgamated 10 data-based models, aiming to mitigate uncertainties associated with a single-model approach. Furthermore, based on the cumulative data regarding landslide susceptible areas, this research identified regions vulnerable to recurring landslide damage in Jeolla region and proposed specific strategies for utilizing this information at various levels, including local government initiatives, adaptation plan development, and development approval processes. In particular, this study outlined approaches for local government utilization, the determination of adaptation plan types, and considerations for development permits. It is anticipated that this research will serve as a valuable opportunity to underscore the significance of information concerning regions vulnerable to recurring landslide damage.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.22 no.3
• /
• pp.21-36
• /
• 2019

Dead fuel moisture content is a key variable in fire danger rating as it affects fire ignition and behavior. This study evaluates simple regression models estimating the moisture content of standardized 10-h fuel stick (10-h FMC) at three sites with different characteristics(urban and outside/inside the forest). Equilibrium moisture content (EMC) was used as an independent variable, and in-situ measured 10-h FMC was used as a dependent variable and validation data. 10-h FMC spatial distribution maps were created for dates with the most frequent fire occurrence during 2013-2018. Also, 10-h FMC values of the dates were analyzed to investigate under which 10-h FMC condition forest fire is likely to occur. As the results, fitted equations could explain considerable part of the variance in 10-h FMC (62~78%). Compared to the validation data, the models performed well with R2 ranged from 0.53 to 0.68, root mean squared error (RMSE) ranged from 2.52% to 3.43%, and bias ranged from -0.41% to 1.10%. When the 10-h FMC model fitted for one site was applied to the other sites, $R^2$ was maintained as the same while RMSE and bias increased up to 5.13% and 3.68%, respectively. The major deficiency of the 10-h FMC model was that it poorly caught the difference in the drying process after rainfall between 10-h FMC and EMC. From the analysis of 10-h FMC during the dates fire occurred, more than 70% of the fires occurred under a 10-h FMC condition of less than 10.5%. Overall, the present study suggested a simple model estimating 10-h FMC with acceptable performance. Applying the 10-h FMC model to the automatic mountain weather observation system was successfully tested to produce a national-scale 10-h FMC spatial distribution map. This data will be fundamental information for forest fire research, and will support the policy maker.

• Korean Journal of Soil Science and Fertilizer
• /
• v.45 no.5
• /
• pp.848-852
• /
• 2012

Vegetation can make not only to lower the urban ambient air temperature (UAAT) by crop evapotranspiration (ET) and increasing solar radiation albedo, but also to reduce the urban air pollution by $CO_2$ uptake and $O_2$ emission in addition to the reducing ozone concentrations by aid of lower the UAAT. To evaluate the effect of vegetation on urban heat island mitigation (UHIM), the climate change of 6 cities during 30 years are analysed, and the amount of ET, $CO_2$ uptake, $O_2$ emission and ozone concentrations are estimated in Korea. The most hot season is the last part of July and the first part of August, and the highest average UAAT of a period of ten days was $35.03^{\circ}C$ during 30 years (1979 - 2008). The mean values of maximum ET of rice and soybean in urban area during urban heat island phenomena were 6.86 and $6.00mm\;day^{-1}$, respectively. The effect of rice and soybean cultivation on lowering the UAAT was assessed to be 10.5 and $3.0^{\circ}C$ in Suwon, respectively, whereas the differences between the UAAT and canopy temperature at urban paddy and upland in Ansung were 2.6 and $2.2^{\circ}C$. On the other hand, the urban-garden in Suwon city had resulted in lowering the UAAT and the surface temperature of buildings to 2.0 and $14.5^{\circ}C$, respectively. Furthermore, the amounts of $CO_2$ uptake by rice and soybean were estimated to be 20.27 and $15.54kg\;CO_2\;10a^{-1}day^{-1}$, respectively. The amounts of $O_2$ emission by rice and soybean were also assessed to be 14.74 and $11.30kg\;O_2\;10a^{-1}day^{-1}$, respectively. As other cleaning effect of air pollution, the ozone concentrations could be also estimated to reduce 21.0, 8.8, and 4.0 ppb through rice-, soybean cultivation, and urban gardening during most highest temperature period in summer, respectively.