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Aqueous mercury partition and modeling.

Wu, Pei-Yao.

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Aqueous mercury partition and modeling.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Aqueous mercury partition and modeling./
Author:	Wu, Pei-Yao.
Description:	126 p.
Notes:	Adviser: Donald F. Hayes.
Contained By:	Dissertation Abstracts International64-03B.
Subject:	Engineering, Environmental. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3086363

Aqueous mercury partition and modeling.
Wu, Pei-Yao.

Aqueous mercury partition and modeling. - 126 p.

Adviser: Donald F. Hayes.

Thesis (Ph.D.)--The University of Utah, 2003.

Mercury (Hg) is widely used in industries and manufacturing processes. Unfortunately, mercury vapor during industrial processes, mercury-containing wastes, and leakage from waste treatment systems have transported mercury into the environment. In the environment, microorganisms methylize inorganic mercury into organic mercury, such as methylmercury. Methylmercury ingested by humans through food sources such as contaminated fish and shellfish can cause liver, kidney, and blood cell damage, and accumulate in the central nerve systems.Subjects--Topical Terms:

783782
Engineering, Environmental.

Aqueous mercury partition and modeling.
LDR:03297nam 2200313 a 45 001 933164
005 20110505
008 110505s2003 eng d
035 $a (UnM)AAI3086363
035 $a AAI3086363
040 $a UnM $c UnM
100 1 $a Wu, Pei-Yao. $3 1256903
245 1 0 $a Aqueous mercury partition and modeling.
300 $a 126 p.
500 $a Adviser: Donald F. Hayes.
500 $a Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1430.
502 $a Thesis (Ph.D.)--The University of Utah, 2003.
520 $a Mercury (Hg) is widely used in industries and manufacturing processes. Unfortunately, mercury vapor during industrial processes, mercury-containing wastes, and leakage from waste treatment systems have transported mercury into the environment. In the environment, microorganisms methylize inorganic mercury into organic mercury, such as methylmercury. Methylmercury ingested by humans through food sources such as contaminated fish and shellfish can cause liver, kidney, and blood cell damage, and accumulate in the central nerve systems.
520 $a Mercury is hydrophobic, associating with solids in natural waters. A series of carefully controlled laboratory experiments in this research were conducted to find the relationship between the mercury adsorption and pH and total chloride concentration. A strong relationship was found and formulated as a set of predictive equations for estimating adsorption under specific conditions.
520 $a The resulting model equations describe the effects of pH and total chloride concentration on the mercury adsorption well. They confirm many findings of other researchers, and establish a conceptual model of the affinity between the mercuric species and the solids adsorbents. The equations further reveal how the hydroxide and chloride ions compete with each other for mercuric ion complexation as a result of adsorption change. Through competitive complexation, the degree of mercuric hydroxide complexation with respect to mercuric adsorption is defined. The results show that lightly hydroxide complexed mercury, e.g., HgOH<super>+</super> and Hg<sub>2</sub>(OH)<super>3+</super>, increase as the maximum mercuric adsorption moves toward its peak value due to the change in chloride and hydroxide ion concentrations. pH reductions observed in the experimental data further support that hydroxide ions are involved with the adsorption.
520 $a Graphical depictions of the empirical formulations allow simple estimation of mercuric partition coefficients under various pH and total chloride concentrations. The resulting partition coefficients can be used in suspended solids transport models to estimate mercury distribution. Since the empirical models focused on only two of the important environmental parameters that control adsorption, studies of other factors such as oxidation-reduction potential and organic content are necessary to expand and increase the utility of the empirical models.
590 $a School code: 0240.
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Environmental Sciences. $3 676987
650 4 $a Health Sciences, Toxicology. $3 1017752
690 $a 0383
690 $a 0768
690 $a 0775
710 2 0 $a The University of Utah. $3 1017410
773 0 $t Dissertation Abstracts International $g 64-03B.
790 $a 0240
790 1 0 $a Hayes, Donald F., $e advisor
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3086363