An Environmental Risk Evaluation Method Employing Atmospheric Dispersion Models and GIS

Ishii, Masakazu; Yamamoto, Kayoko

doi:10.4236/jep.2013.412160

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Humans are exposed to PCDFs, PCDDs, and PCBs through environmental, occupational contamination, and accidental exposure [2].…”

Section: Exposure To Dioxinsmentioning

confidence: 99%

“…Among this group of chemicals are dioxins. Dioxins and dioxin-like compounds (DLC) are highly persistent organic pollutants (POPs) that are extremely poisonous and highly resistant to chemical, biological, and photolytic destruction [2]. Polychlorinated dibenzofurans (PCDFs), polychlorinated dibenzodioxins (PCDDs), and dioxin-like polychlorinated biphenyl (DL-PCBs) are the three main categories under which POPs are categorized.…”

Section: Introductionmentioning

confidence: 99%

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The promising protective effect of locust bean against hepatotoxicity of Dioxins and dioxin like compounds

Dahy

2023

Frontiers in Scientific Research and Technology

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In recent years, waste generation tends to increase in quantity as the population and living circumstances increase. Uncontrolled waste incinerators (solid waste and hospital waste) are frequently the worst offenders when it comes to dioxin leakage into the environment because of incomplete burning. Dioxins are a type of persistent organic pollutants (POPs). Dioxins are primarily by-products of industrial operations such as smelting, chlorine bleaching of paper pulp, and the production of various herbicides and insecticides, although they can also be produced by natural events like volcanic eruptions and forest fires. Dioxins have an impact on several organs and systems. Dioxins removal from the ecosystem is challenging due to their persistence, resistance to biodegradation, and pervasiveness, and now dioxins toxicity is recognized as a problem that needs to be addressed right away. Nowadays, increasing attention has been paid to natural antioxidant compounds with fewer detrimental effects such as locust beans to reduce the toxicity of different chemicals. Locust bean seeds mostly include galactomannans and flavonoids which are antioxidants and are essential in protecting cells from free radicals, which may also be beneficial in liver disease, cancer, and other diseases. Locust beans also may increase the removal of dioxin from the body. Hence, in the current review, we shed light on the promising protective effect of Locust beans against the hepatotoxicity of dioxins and dioxin-like compounds [1].

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“…Humans are exposed to PCDFs, PCDDs, and PCBs through environmental, occupational contamination, and accidental exposure [2].…”

Section: Exposure To Dioxinsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The promising protective effect of locust bean against hepatotoxicity of Dioxins and dioxin like compounds

Dahy

2023

Frontiers in Scientific Research and Technology

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“…Regarding studies that grasped the behavior of air pollutants using atmospheric dispersion model, there have been many with dioxin as its subject. Some of the representative studies in recent years include that of Sasaki et al [1], Teshima et al [2], Hoa [3], Viel [4], Ripamonti et al [5], Ashworth et al [6], Ishii and Yamamoto [7], Sun et al [8], and Zhang et al [9], in which simulations of the behavior of dioxins in the atmosphere were conducted with incinerators as its generation source. Maantay et al [10], Chen et al [11], Kawashima et al [12], Onofrio et al [13], Zhou et al [14], and Chandra et al [15] conducted simulations of dioxins in the atmosphere.…”

Section: Related Workmentioning

confidence: 99%

“…Among the related studies above, Maantay et al [10] and Viel [4] demonstrated the effectiveness to combine atmospheric dispersion model and GIS to estimate the behavior of dioxins in the atmosphere. Additionally, Ishii et al [7] combined two types of atmospheric dispersion models and GIS to grasp the dispersion conditions of dioxins in both wide-rage and small-range areas with high concentration and proposed a method to evaluate environmental risks.…”

Section: Related Workmentioning

confidence: 99%

Estimation of PM2.5 Trajectory Using Atmospheric Dispersion Models and GIS in the Tokyo Metropolitan Area

Yamamoto¹,

Yang²

2018

Risk Assessment

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The present study aims to use atmospheric dispersion models and geographical information system (GIS) to make estimations of the trajectory of PM2.5 (particulate matter) discharged from specific generation sources, by grasping the atmospheric concentration within the Tokyo metropolitan area in Japan. It is expected that such estimation results should contribute to the risk assessment concerning the influences of PM2.5 on human health and ecosystem. Using ADMER in the first stage, estimations of the atmospheric concentration distribution of PM2.5 throughout the entire Tokyo metropolitan area from 2009 to 2014 were conducted. As a result, areas with high atmospheric concentration of PM2.5 focused in the same area each year, and it was revealed that the entire Tokyo and Saitama had high atmospheric concentrations. Additionally, as a result of setting Tokyo the detail estimation range, it was grasped that the atmospheric concentrations are high in Shinjuku ward and Tachikawa city in Tokyo. Based on the results in the first stage, using METI-LIS in the second stage, estimations of the trajectory of PM2.5 discharged from specific generation sources were conducted in Tachikawa city. As a result, it was made clear that PM2.5 had spread within 500 m of the specific generation sources, and the atmospheric concentrations were intensively high.

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“…Ugyanakkor a modellek eredményeinek felhasználói, a döntéshozók és hatóságok felé való kommunikáció szempontjából fontossá vált a terjedési modellek térinformatikai szoftverekbe való integrációja, valamint az eredmények bizonytalanságának becslése a kockázatalapú döntéstámogató rendszerek kiszolgálása érdekében (Ishii and Yamamoto, 2013). Különleges jelentőséget kaptak ezek a szempontok a 2011-es japán földrengés után, amikor a Fukushimából származó radioaktív szennyeződés Japánban komoly környezeti és egészségügyi kockázatokat jelentett, csekély mértékben pedig globálisan is kimutatható volt (Steinhauser et al, 2014).…”

Section: Előzmények éS Motivációunclassified

Szennyezőanyagok légköri koncentrációját előrejelző modellrendszer fejlesztése és alkalmazása

Leelőssy¹

2017

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Atmospheric dispersion models have become important tools for air pollution meteorology for the last decades. Based on meteorological data, these models can simulate the transmission of pollutants released from accidental or normal industrial processes, traffic and households, as well as deflation and evaporation. The scale of the dispersion process can range from local air pollution events to globally detectable nuclear accidents. Simulation of atmospheric dispersion on different scales requires different modeling approaches.The aim of this research is to develop an atmospheric dispersion model applicable on a wide range of scales. A regional-to-global scale Lagrangian particle dispersion model and a local scale plume model have been developed, which can be used with data from several numerical weather prediction systems.The main application of the Lagrangian model was the simulation of the global dispersion of radionuclides released from the Fukushima Nuclear Power Plant. Measurement data from several sites in the Northern Hemisphere provided a resource to validate model results and to reconstruct the dispersion process in each region.The developed dispersion models have been applied for recent cases in Hungary that reached large public interest. Our plume model was used to simulate the long-term spatial distribution of deflated industrial dust from the Budapest Chemical Works site for a period of thirteen years. Radioiodine release from the Institute of Isotopes in Budapest was simulated with our Lagrangian model to reveal model uncertainties in a complex weather situation with low-level inversion and wind shear.Our Gaussian and Lagrangian models can simulate the dispersion of passive tracers or toxic substances with a simple chemical mechanism. Development of the model allows the flexible adaptation for special needs of users and its integration into complex decision support software. Development and testing provided valuable experience for future applications to select and set up the best possible modeling tool for atmospheric dispersion problems.

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An Environmental Risk Evaluation Method Employing Atmospheric Dispersion Models and GIS

Cited by 7 publications

References 14 publications

The promising protective effect of locust bean against hepatotoxicity of Dioxins and dioxin like compounds

The promising protective effect of locust bean against hepatotoxicity of Dioxins and dioxin like compounds

Estimation of PM2.5 Trajectory Using Atmospheric Dispersion Models and GIS in the Tokyo Metropolitan Area

Szennyezőanyagok légköri koncentrációját előrejelző modellrendszer fejlesztése és alkalmazása

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