4 research outputs found

    Reactive transport simulation of contaminant fate and redox transformation in heterogeneous aquifer systems

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    The transport of contaminants in groundwater system is strongly influenced by various aquifer heterogeneity factors such as spatial aquifer heterogeneity of hydraulic conductivity and reactive substances distribution. The contaminants transport can be simulated by using numerical reactive transport models, and their fate can be possibly even predicted. Furthermore, reactive transport modeling is an essential tool to get a profound understanding of hydrological-geochemical complex processes and to make plausible predictions of assessment. The goal of this work is to improve our understanding of the groundwater contaminants fate and transport processes in heterogeneous aquifer systems, with a focus on nitrate problems. A large body of knowledge of the fate and transport of nitrogen species has been achieved by previous works, however, most previous models typically neglect the interrelation of physical and chemical aquifer heterogeneities on the contaminant fate and redox transformation, which is required for predicting the movement and behavior of nitrate and quantifying the impact of uncertainty of numerical groundwater simulation, and which motivates this study. The main research questions which are answered in this work are how aquifer heterogeneity influences on the nitrate fate and transport and then, what is the most influential aquifer heterogeneity factor must be considered. Among the various type of aquifer heterogeneity, physical and chemical aquifer heterogeneities are considered. The first part of the work describes groundwater flow system and hydrochemical characteristics of the study area (Hessian Ried, Germany). Especially, data analyses are performed with the hydrochemical data to identify the major driving force for nitrate reduction in the study area. The second part of the work introduces a kinetic model describing nitrate removal by using numerical simulation. The resulting model reproduces nitrate reduction processes and captures the sequence of redox reactions. The third and fourth parts show the influence of physical and chemical aquifer heterogeneity with varying variance, correlation length scale, and anisotropy ratio. Heterogeneous aquifer systems are realized by using stochastic approach. Results, in short, show that the most influential aquifer heterogeneity factors could change over time. With abundant requisite electron donors, physical aquifer heterogeneity significantly influences the nitrate reduction while chemical aquifer heterogeneity plays a minor role. Increasing the spatial variability of the hydraulic conductivity increases the nitrate removal efficiency of the system in addition. If these conditions are reversed, nitrate removal efficiency varies by the spatial heterogeneity of the available initial electron donor. The results indicate that an appropriate characterization of the physical and chemical properties can be of significant importance to predict redox contamination transport and design long-term remediation strategies and risk assessment

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    A Study of Skin Reflectance Using Kubelka-Munk Model

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    ๋น›์€ ํ”ผ๋ถ€์—์„œ ๊ฐœ๊ฐœ์ธ๋งˆ๋‹ค ์ƒ์ดํ•œ ๋ฐ˜์‚ฌ, ํก์ˆ˜ ๋ฐ ์‚ฐ๋ž€ ๋“ฑ์˜ ๊ด‘ํ•™์  ๊ฑฐ๋™์„ ๋ณด์—ฌ์ค€๋‹ค. ํŠนํžˆ, ํ”ผ๋ถ€์—์„œ ๋น›์˜๋ฐ˜์‚ฌ๋Š” ๋ถ„๊ด‘๋ฐ˜์‚ฌ์œจ์ด๋ผ๋Š” ๋ฌผ๋ฆฌ๋Ÿ‰ ์ธก์ •์„ ํ†ตํ•ด ๊ฐœ์ธ์˜ ํ”ผ๋ถ€ ๋ฐ๊ธฐ์ง€ํ‘œ๋กœ ๋„๋ฆฌ ํ™œ์šฉ๋˜์–ด ์™”๋‹ค. ๋”ฐ๋ผ์„œ ํ”ผ๋ถ€์—์„œ๋น›์˜ ๋ฐ˜์‚ฌ ๊ฑฐ๋™ ์—ฐ๊ตฌ๋Š” ๊ฐœ์ธ ๋งž์ถคํ˜• ํ™”์žฅํ’ˆ, ํŠนํžˆ ๋ฉ”์ดํฌ์—… ์ œํ’ˆ ๊ฐœ๋ฐœ์— ์žˆ์–ด ์ข€ ๋” ํšจ์œจ์ ์ธ ์ฒ˜๋ฐฉ ๊ฐœ์„ ์— ๊ธฐ์—ฌํ•˜๊ฑฐ๋‚˜ ์ƒˆ๋กœ์šด ํ‰๊ฐ€๋ฒ•์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” Kubelka-Munk ๋ชจ๋ธ์„ ์ด์šฉํ•˜์—ฌ ๊ฐœ์ธ์˜ ํ”ผ๋ถ€ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๋น›์˜ ๋ถ„๊ด‘๋ฐ˜์‚ฌ์œจ ๊ฑฐ๋™์— ๋Œ€ํ•ด ๋‹ค๊ฐ์ ์ธ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์ƒ๊ธฐ ๋ชจ๋ธ๊ณผ ๊ธฐ์กด์— ์•Œ๋ ค์ง„ ๋ฌธํ—Œ ์ •๋ณด๋ฅผ์ด์šฉํ•˜์—ฌ ๊ฐœ์ธ์˜ ํ”ผ๋ถ€ ๋ถ„๊ด‘๋ฐ˜์‚ฌ์œจ์— ์˜ํ–ฅ์„ ์ค„ ์ˆ˜ ์žˆ๋Š” ํ”ผ๋ถ€ ๋‘๊ป˜ ๋ฐ ํ—ค๋ชจ๊ธ€๋กœ๋นˆ ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ํŒŒ๋ผ๋ฏธํ„ฐ๋“ค์— ๋Œ€ํ•œ๊ธฐ์—ฌ๋„ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด, ์ผ๋ฐ˜์ ์ธ ์—ฌ์„ฑ์˜ ํ”ผ๋ถ€์—์„œ์˜ ๋ถ„๊ด‘๋ฐ˜์‚ฌ์œจ ์ด๋ก ์น˜๋ฅผ ๊ณ„์‚ฐํ•˜์˜€๊ณ , ๋ถ„๊ด‘๋ฐ˜์‚ฌ์œจ ์‹ค์ธก์„ ํ†ตํ•ด ์ด๋ก ์น˜์™€ ์‹ค์ธก์น˜ ๊ฐ„์˜ ์œ ์‚ฌ์„ฑ์„ ํ™•์ธํ•˜์˜€๋‹ค. Kubelka-Munk ๋ชจ๋ธ์„ ์ด์šฉํ•œ ํ”ผ๋ถ€ ๋ถ„๊ด‘๋ฐ˜์‚ฌ์œจ์—ฐ๊ตฌ๋Š” ํ–ฅํ›„ ์ƒˆ๋กœ์šด ๊ฐœ์ธ ๋งž์ถคํ˜• ๋ฉ”์ดํฌ์—… ํ™”์žฅํ’ˆ ๊ฐœ๋ฐœ์— ์œ ์šฉํ•˜๊ฒŒ ์ด์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค. Light shows various optical behaviors such as reflection, absorption, and scattering on skin for individuals. In particular, reflection of light from the skin has been widely used as the brightness index of the skin of individuals through the measurement of the physical quantity of spectral reflectance. Therefore, the study of light behavior on skin would be useful for the preparation of new evaluation method in the development stage of make-up products. In this study, multi-dimensional analysis for spectral reflectance behavior of light on individual skin was performed using Kubelka-Munk model. Also, we analyzed the contribution of skin parameters such as skin thickness and hemoglobin, which could affect the spectral reflectance, using above model and literature information. Base on this, we calculated the theoretical reflectance of normal women for visual light, which showed good agreement with the measured reflectance. Our study of light propagation in skin based on Kubelka-Munk model provides useful insight for the development of personalized cosmetic in the near future.22Nkc
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