• Title/Summary/Keyword: environmental performance index

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Soil moisture estimation using the water cloud model and Sentinel-1 & -2 satellite image-based vegetation indices (Sentinel-1 & -2 위성영상 기반 식생지수와 Water Cloud Model을 활용한 토양수분 산정)

  • Chung, Jeehun;Lee, Yonggwan;Kim, Jinuk;Jang, Wonjin;Kim, Seongjoon
    • Journal of Korea Water Resources Association
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    • v.56 no.3
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    • pp.211-224
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    • 2023
  • In this study, a soil moisture estimation was performed using the Water Cloud Model (WCM), a backscatter model that considers vegetation based on SAR (Synthetic Aperture Radar). Sentinel-1 SAR and Sentinel-2 MSI (Multi-Spectral Instrument) images of a 40 × 50 km2 area including the Yongdam Dam watershed of the Geum River were collected for this study. As vegetation descriptor of WCM, Sentinel-1 based vegetation index RVI (Radar Vegetation Index), depolarization ratio (DR), and Sentinel-2 based NDVI (Normalized Difference Vegetation Index) were used, respectively. Forward modeling of WCM was performed by 3 groups, which were divided by the characteristics between backscattering coefficient and soil moisture. The clearer the linear relationship between soil moisture and the backscattering coefficient, the higher the simulation performance. To estimate the soil moisture, the simulated backscattering coefficient was inverted. The simulation performance was proportional to the forward modeling result. The WCM simulation error showed an increasing pattern from about -12dB based on the observed backscattering coefficient.

Photochemical assessment of maize (Zea mays L.) seedlings grown under water stress using photophenomics technique

  • Ham, Hyun Don;Kim, Tea Seong;Yoo, Sung Yung;Park, Ki Bae;Kim, Tae Wan
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.341-341
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    • 2017
  • Abiotic stress adversely affects crop growth worldwide. Drought of the major abiotic stresses have the most significant impact on all of the crop. The main objective of this study was to assess the effects of drought stress on photochemical performance and vitality of maize (Zea mays L.). The photochemical characteristics were analyzed in the context of period of drought stress during the maize growth. Drought experiment was carried out for four weeks, thereafter, the drought treated maize was re-watered. The polyphasic OJIP fluorescence transient was used to evaluate the behavior of photosystem II (PSII) and photosystem I (PSI) during the entire experiment period. In drought stress, the performance Index (PI) level was reached earlier when compared to the controls. For the screening of drought stress tolerance the drought factor index (DFI) of each variety was calculated as follow DFI= log(A) + 2log(B). All the fourteen cultivars show DFI ranged from -0.69 to 0.30, meaning less useful in selection of drought tolerant cultivars. PI and electron transport flux values of fourteen cultivars were to indicate reduction of photosynthetic performance during the early vegetative stage under drought stress. In conclusion, DFI and energy flux parameters can be used as photochemical and physiological index.

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A Metaheuristic Algorithm based Redesign Methodology for Green Product Family Considering Environmental Performance (환경성을 고려한 메타 휴리스틱 알고리즘 기반의 그린 Product Family 재설계 방법론)

  • Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.12 no.5
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    • pp.125-130
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    • 2014
  • The competitiveness in today's global market forces many companies to develop families of products to provide enough variety for the marketplace. The challenge when designing a product family is in resolving the tradeoff between product commonality and distinctiveness. Simultaneously it is necessary to consider environmental performance to design a product family as well as to shorten lead-times, improve quality and reduce costs. This paper proposes a metaheuristic algorithm based redesign methodology for green product family considering environmental performance. The proposed method uses a genetic algorithm as metaheuristic algorithm and green product family index (GPFI) to support green product family design. In addition, it provides the redesign methodology such as product family level and component level. A case study used table lamps as an product family's example shows the verification and effectiveness of the proposed method.

Evaluation of Performance Index for Optimization of Food Waste Treatment and Recovery Facility (음식물류폐기물 자원화시설 최적화를 위한 이행지표 평가)

  • Kim, Jong-Hwan;Park, Joon-Seok;Phae, Chae-Gun
    • Clean Technology
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    • v.22 no.3
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    • pp.181-189
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    • 2016
  • This research was performed to evaluate the food waste recovery facility using optimization performance index. In 2014, the generated amount of food waste occupied approximately 27% in total municipal solid waste. The 97.2% of the food waste was recycled and the others were treated through landfill and incineration in the portion of 0.9% and 1.9%, respectively. In food waste recovery facilities of year 2014, the composting and feed facilities were 49.5% and 22.9%, respectively. The feed facility showed higher scores in all technological, environmental, and especially economical evaluations than those of composting facility. As results of overall optimization performance index, the feed facility has higher score of 61.5 than 52.7 of composting facility. It was demonstrated that the feed facility has the advantage, compared with the composting facility.

Structural damage alarming and localization of cable-supported bridges using multi-novelty indices: a feasibility study

  • Ni, Yi-Qing;Wang, Junfang;Chan, Tommy H.T.
    • Structural Engineering and Mechanics
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    • v.54 no.2
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    • pp.337-362
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    • 2015
  • This paper presents a feasibility study on structural damage alarming and localization of long-span cable-supported bridges using multi-novelty indices formulated by monitoring-derived modal parameters. The proposed method which requires neither structural model nor damage model is applicable to structures of arbitrary complexity. With the intention to enhance the tolerance to measurement noise/uncertainty and the sensitivity to structural damage, an improved novelty index is formulated in terms of auto-associative neural networks (ANNs) where the output vector is designated to differ from the input vector while the training of the ANNs needs only the measured modal properties of the intact structure under in-service conditions. After validating the enhanced capability of the improved novelty index for structural damage alarming over the commonly configured novelty index, the performance of the improved novelty index for damage occurrence detection of large-scale bridges is examined through numerical simulation studies of the suspension Tsing Ma Bridge (TMB) and the cable-stayed Ting Kau Bridge (TKB) incurred with different types of structural damage. Then the improved novelty index is extended to formulate multi-novelty indices in terms of the measured modal frequencies and incomplete modeshape components for damage region identification. The capability of the formulated multi-novelty indices for damage region identification is also examined through numerical simulations of the TMB and TKB.

Development of Satellite-based Drought Indices for Assessing Wildfire Risk (산불발생위험 추정을 위한 위성기반 가뭄지수 개발)

  • Park, Sumin;Son, Bokyung;Im, Jungho;Lee, Jaese;Lee, Byungdoo;Kwon, ChunGeun
    • Korean Journal of Remote Sensing
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    • v.35 no.6_3
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    • pp.1285-1298
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    • 2019
  • Drought is one of the factors that can cause wildfires. Drought is related to not only the occurrence of wildfires but also their frequency, extent and severity. In South Korea, most wildfires occur in dry seasons (i.e. spring and autumn), which are highly correlated to drought events. In this study, we examined the relationship between wildfire occurrence and drought factors, and developed satellite-based new drought indices for assessing wildfire risk over South Korea. Drought factors used in this study were high-resolution downscaled soil moisture, Normalized Different Water Index (NDWI), Normalized Multi-band Drought Index (NMDI), Normalized Different Drought Index (NDDI), Temperature Condition Index (TCI), Precipitation Condition Index (PCI) and Vegetation Condition Index (VCI). Drought indices were then proposed through weighted linear combination and one-class support vector machine (One-class SVM) using the drought factors. We found that most drought factors, in particular, soil moisture, NDWI, and PCI were linked well to wildfire occurrence. The validation results using wildfire cases in 2018 showed that all five linear combinations produced consistently good performance (> 88% in occurrence match). In particular, the combination of soil moisture and NDWI, and the combination of soil moisture, NDWI, and precipitation were found to be appropriate for representing wildfire risk.

Influence of natural and accelerated weathering of polycarbonate (폴리카보네이트 소재의 자연폭로와 실내촉진 내후성 영향)

  • Moon, Jung-mi;Jang, Ho-Jin;Kim, Chang-Hwan
    • Journal of the Korean institute of surface engineering
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    • v.55 no.6
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    • pp.383-389
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    • 2022
  • Natural(outdoor) and accelerated(artificial) weathering tests were performed to investigate their influence on polycarbonate. The polycarbonate materials were prepared of various formulations divided into three batches, with existing, development materials1, development materials2, containing mixture of UV additives. Weathering tests were carried out as outdoor weathering(Seosan, South Korea) and accelerated weathering(xenon-arc), and the results analysis were evaluated based on yellow-index(YI), scanning electron microscope(SEM/EDS), energy dispersive x-ray spectroscopy(XRD), and gel permeation chromatography(GPC). Among the three materials, processing method development materials1 with UV stabilizer was excellent in weathering. This study can provide basic data for standardization of development and performance evaluation on livestock barn roof.

Content Analysis of Voluntary Environmental Disclosure Made in Stand-alone Environmental Reports or Company Web-sites: Focusing on the Interrelations between Disclosure Quality, Environmental Performance and Economic Performance (환경보고서 혹은 웹사이트를 통한 자발적 환경공시의 내용분석: 환경성과 및 경제적 성과와의 동시적 상관관계를 중심으로)

  • Choi, Jong-Seo
    • Journal of Environmental Policy
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    • v.9 no.3
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    • pp.69-114
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    • 2010
  • This study investigates the voluntary corporate disclosure of environmental information via stand-alone environmental reports or company web-sites. Quality of disclosure was assessed using the content analysis index proposed by Clarkson et al. (2008) based on GRI guidelines. Descriptive statistics on disclosure scores by category suggest that the level of disclosure is low relative to the expectation implied by the GRI reporting guidelines, and points to the need for improvement in the future. Specific areas where improvement is required include the disclosure of environmental performance indicators. Corporate environmental performance was measured in terms of the percentage of toxic wastes that was treated or processed by each firm and economic performance, by industry-adjusted annual return, which was subject to a series of association tests designed to explore the interrelations among environmental disclosure, environmental performance, and economic performance. The individual equation approach based on OLS procedures suggests a positive association between environmental performance and the level of discretionary environmental disclosures, which is not the case between environmental and economic performance. An integrated analysis using simultaneous equations approach does not indicate any significant relationships among three constructs, suggesting the lack of endogeneity, inconsistent with Al-Tuwaijri et al. (2004). Additional analysis assesses the level of environmental disclosure made in footnotes to the audited annual reports, which suggests that the quality of disclosure is very low and that footnote disclosure does not serve as a meaningful channel for the provision of corporate environmental information.

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A Review on Applicability of Sustainable City Index - Focusing on GCI, EPI and CBI - (지속가능한 도시평가지표의 적용 가능성 검토 - GCI, EPI, CBI를 중심으로 -)

  • Yun, Hyerngdu;Park, Jinyoung;Choi, Taebong;Choi, Intae;Noh, Taihwan;Han, Bongho;Kim, Myungjin
    • Journal of Environmental Impact Assessment
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    • v.24 no.6
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    • pp.593-606
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    • 2015
  • This study was intended to develop Korean Environmental Sustainable City Index (ESCI) so that local governments can examine and identify urban environment issues and then come up with a policy to improve the environment and urban biodiversity for cities. Green City Index (GCI), Environmental Performance Index (EPI), and City Biodiversity Index (CBI) which have used worldwide were analyzed. Based on the result of analysis, evaluation indicators of ESCI were finally a total of 20 indicators under four categories, which are native biodiversity, living environment, ecosystem services, and governance and management. Then, five cities with biotope mapping and evaluation index were selected to apply ESCI for evaluation. In order to apply ESCI, local governments need to accumulate basic data. There should be a policy which requires local governments to build data for biotope mapping so that the rate of natural area, ecological network and permeable land surface can be evaluated. Indicators must be applied to be compliant with scale of the city and level of data building gradually.

A Comparative Study on Reliability Index and Target Performance Measure Based Probabilistic Structural Design Optimizations (신뢰도지수와 목표성능치에 기반한 확률론적 구조설계 최적화기법에 대한 비교연구)

  • 양영순;이재옥
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.10a
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    • pp.32-39
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    • 2000
  • Probabilistic structural design optimization, which is characterized by the so-called probabilistic. constraints which introduce permissible probability of violation, is preferred to deterministic design optimization since unpredictable inherent uncertainties and randomness in structural and environmental properties are to be taken quantitatively into account by probabilistic design optimization. In this paper, the well-known reliability index based MPFP(Most Probable Failure Point) search approach and the newly introduced target performance measure based MPTP(Minimum Performance Target Point) search approach are summarized and compared. The present comparison focuses on the number of iterations required for the estimation of probabilistic constraints and a technique for improvement which removes exhaustive iterations is presented as well. A 10 bar truss problem is examined for this.

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