• Journal of Korean Society of Water and Wastewater
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• v.38 no.2
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• pp.69-81
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• 2024

In this study, an evaluation system that can be used to evaluate the feasibility of developing and supplying hydrothermal energy for the operation of large-scale complex facilities was developed. To this end, this study derived factors to be considered when selecting a location for the use of hydrothermal energy using raw water from multi-purpose dams and regional water supply systems through literature survey and expert interviews. The evaluation indicators derived from this study are divided into four sectors: hydrothermal energy utilization factors, location factors, planning factors, and disaster safety factors, and are composed of 10 mid-level indicators and 34 detailed planning indicators. The relative importance of all factors was derived using the Analytic Hierarchy Process (AHP) technique, and the developed evaluation indicators and relative importance were applied to four multi-purpose dam regions in the country. As a result, it was found that in the development and use of hydrothermal energy utilizing regional raw water supply line the urban planning conditions of the supply site can have a greater impact on the location selection results than the hydrothermal energy development itself. Due to the characteristics of the evaluation indicators developed in this study and their nature as comprehensive indicators, it is believed that the results should be applied to determine the overall adequacy of site selection in the early stages of hydrothermal energy development. In the future, it is believed that it will be necessary to analyze the problems in supplying and operating hydrothermal energy using raw water from multi-purpose dams and regional water resources. Based on the analysis the evaluation system developed in this study is expected to be improved and supplemented.

• Korean Journal of Remote Sensing
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• v.28 no.1
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• pp.159-169
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• 2012

The purpose of this study was to assess the vulnerability of forest ecosystem to climate change in South Korea using socio-environmental indicators and the results of two vegetation models named as Hydrological and Thermal Analogy Group(HyTAG), and MAPSS-Century 1(MC1). The changing frequency and direction of biome types estimated by HyTAG model was used for quantifying sensitivity and adaptive capacity of forest distribution. Similarly, the variation and changing tendency of net primary production and soil carbon storage estimated by MC1 model was used for quantifying sensitivity and adaptive capacity of forest function. As socio-environmental indicators, many statistical data such as financial autonomy rate and the number of forestry officer was prepared. All indicators were standardized, and then calculated using the vulnerability assessment equation. The period of vulnerability assessment was divided into the past(1971-2000) and the future(2021-2050). To understand what policy has a priority to climate change, distribution maps of each indicators was depicted and the vulnerability results were compared among administrative districts. Evident differences could be found in entire study area. These differences were mostly derived from regionalspecific adaptive capacity. The result and methodology of this study would be helpful for the development of decision-making supporting system and policy making in forest management with respect to climate change.

• Journal of Korea Technology Innovation Society
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• v.6 no.3
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• pp.345-357
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• 2003

As the sustaindble development becomes the main goal of the global world in the 21st century, it is important that technological innovations should be realized ecologically sound based on co-evolutionalry approach. From this perspective, the trans-disciplinary research method is gaining importance in the evaluation process of public funded R&D, especially in the environmental technology. In our evaluation research on the R&D projects of the $CO_2$reduction and sequestration technology in Korea, we attempt to apply a trans-disciplinary integrated method on the concept of the eco-innovation, the technology push and the market pull. Also, we try to develop the trans-disciplinary indicators of the environmental technology evaluation. This research confirms the necessity of trans-disciplinary research among the three academic perspectives, engineering, social sciences and public policy.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.145-146
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• 2012

With the increasing public concerns on sustainability in construction industry, a variety of standards for green buildings have been developed and implemented. However, most of their criteria are not adaptable to evaluate environmental performances of construction activities. Besides, the great part of existing studies are focusing only on energy consumption and CO₂ emissions, overlooking the impact of pollution sources which occur intentionally in the construction phase. In this study, indicators and their importances are investigated to assess the overall environmental performance of construction activities.

• Parasites, Hosts and Diseases
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• v.55 no.2
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• pp.129-135
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• 2017

A total of 60 samples were collected from 35 swimming pools in Beijing, China, and the presence of Cryptosporidium and Giardia were investigated. The results showed that 16.7% and 15.0% of samples were positive for Cryptosporidium oocyst and Giardia cysts, respectively, with a mean concentration of 0.30 oocysts/10 L and 0.27 cysts/10 L. The oocysts and cysts were found to have higher rates of occurrence in August than in May. Genotyping confirmed the presence of Cryptosporidium hominis, C. parvum, and Giardia assemblages A and B, all of which were associated with human infections. The predominant species/assemblages were C. hominis and Giardia assemblage A. Analyses of the relationships between parasite oocysts/cysts, indicator bacteria, and physical-chemical parameters revealed that there was no correlation between 2 parasites and fecal bacterial indicators, whilst there was a significant correlation between protozoa and urea concentration, which indicates that urea concentration rather than fecal bacterial indicators might be an appropriate index for chlorine-resistant protozoa in swimming pools. This study provides useful information to improve the safety of swimming pool water and deduce the risk of protozoan infections.

• Journal of Applied Biological Chemistry
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• v.50 no.2
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• pp.88-96
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• 2007

Organic farming systems based on ecological concepts have the potential to produce sustainable crop yields with no decline in soil and environmental qualities. Recent expansion of sustainable agricultural systems, including organic farming, has brought about need for development of sustainable farming systems based on value judgments for key properties of importance for farming. Chemical and microbiological properties were chosen as indicators of soil quality and measured at soil depth intervals of 5-20 and 20-35 cm in conventional and organic-based apple orchards located in Yeongchun, Gyeongbuk. The orchards were two adjacent fields to ensure the same pedological conditions except management system. Soil pH in organic farming was around 7.5, whereas below 6.0 in conventional farming. Organic farming resulted in significant increases in organic matter and Kjeldahl-N contents compared to those found with conventional management. Microbial populations, biomass C, and enzyme activities (except acid phosphatase) in apple orchard soil of organic farming were higher than those found in conventional farming. Higher microbial quotient ($C_{mic}/C_{org}$ ratio) and lower microbial metabolic quotient for $CO_2(qCO_2)$ in organic farming confirmed that organic farming better conserves soil organic carbon. Biological soil quality indicators showed significant positive correlations with soil organic matter content. These results indicate organic-based farming positively affected soil organic matter content, thus improving soil chemical and biological qualities.

• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.5-25
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• 2016

The purpose of this study develops the methodology to extract the poor deprived districts using the data from the national spatial data infrastructure portal. Particularly this study tries to select more acute indicators and to test the operability of such indicators. Also this study is focused on the versatile methodology that can be adjusted to incorporate alternative indicators that might be appropriate according to the hierarchy of the spatial unit. The indicator sets are composed of three dimensions: the poor class, the poor old housing, and poor residential neighborhood environment. Each representative indicator is selected based on the characteristics of the poor deprived districts. As a result, at the level of administrative Dong, key indicators for extracting the poor deprived districts are number of recipients of national basic living security per thousand persons and ratio of households living at old detached house. At the level of the national based zip code district, the ratio of buildings built on parcels located at roads below 4m in width, the ratio of small parcels below $60m^2$ and the ratio of poor old buildings are very important indicators. The result of grid analysis by overlaying the coverage of multiple indicators shows that relatively more vulnerable and deprived districts can be extracted at the small sub-district level. This study suggests the possibility to create the high value-added information, using the data from the national spatial data infrastructure portal. This methodology enables policymakers to select the priority target districts of poor deprived district more effectively.

• Bulletin of the Korean Chemical Society
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• v.35 no.12
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• pp.3595-3600
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• 2014

Monitoring of pH, especially under highly alkaline conditions, is necessary in various processes in the industrial, biotechnological, agricultural, and environmental fields. However, few pH indicators that can function at highly alkaline levels are available, and most of which are organic-based pH indicators. Several years ago, it was reported that gold nanoparticles prepared using trisodium citrate dihydrate were rapidly aggregated at pH values higher than ~12.7. A shift of surface plasmon resonance for such aggregated gold nanoparticles can be applied to pH indicators, allowing for the substitution of traditional organic-based pH indicators. The most important characteristic of pH indicators is the transition pH range. Herein, gold and silver nanoparticles are prepared using different reducing agents, and their transition pH ranges are examined. The results showed that all nanoparticles prepared in this study exhibit similar transition pH ranges spanning 11.9-13.0, regardless of the nanoparticle material, reducing agents, and concentration.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.6
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• pp.1893-1899
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• 2014

This study is to suggest strategies of specialty contractors that provide labors oriented engineering service by interaction analysis between construction business indicators and business performance indicators. For specialty contractors that mainly provides labor oriented engineering service, the amount of construction orders imposes lasting impact to the turnover ratio of current assets supposedly because they are operating current assets to secure labor. In other words, this type of specialty contractors are focused on mobilization of labor not materials or equipment. So, it is determined that they will be able to increase revenue by operating current assets to address current liabilities and labor mobilization.

• Journal of Forest and Environmental Science
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• v.21 no.1
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• pp.1-15
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• 2005

To be a sustainable forest management, Korea took a Montreal process in many processes. This study applied seven criterias, twenty-seven indicators that are applicable indicators to the forest function type. Forest function type choose representation, suitability, possibility criterias and indicators that forest conditions are thought a great deal of wegit on the forest by a goal. And we can't estimate many forest with same criteria and indicators every time, to apply them need correct data and knowledge about forest.