東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Microbes in Water: Methods to Evalua...

Wu, Huiyun.

Linked to FindBook

Google Book

Amazon

博客來

Microbes in Water: Methods to Evaluate Sources, Temporal Variability, and Potential Disease Signals.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Microbes in Water: Methods to Evaluate Sources, Temporal Variability, and Potential Disease Signals./
Author:	Wu, Huiyun.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	102 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-04, Section: A.
Contained By:	Dissertations Abstracts International81-04A.
Subject:	Environmental engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13898958
ISBN:	9781085668330

Microbes in Water: Methods to Evaluate Sources, Temporal Variability, and Potential Disease Signals.
Wu, Huiyun.

Microbes in Water: Methods to Evaluate Sources, Temporal Variability, and Potential Disease Signals. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 102 p.

Source: Dissertations Abstracts International, Volume: 81-04, Section: A.

Thesis (Ph.D.)--Michigan State University, 2019.

This item must not be sold to any third party vendors.

Microbial contamination in waters has been one of the most pressing environmental health concerns in the world and the US. Understanding sources, temporal variability, and transport pathways of microbes in water is critical for the development of watershed remediation and pollution prevention plans. Furthermore, understating the occurrence of pathogens in water and its relationship to human and animal health may facilitate early detection and prevention of disease. This dissertation focuses on the study of impaired water bodies in the Great Lakes basin. In particular, maximum pollutant loading and its relationship to hydrological events is studied, microbial pollution source identification methods are investigated, and methods for analyzing water samples to identify disease signals are explored. The selected sites, located in Michigan, are sites for which Total Maximum Daily Load (TMDL) requirement for bacteria have been identified by the state and watershed management plans are being developed.

ISBN: 9781085668330Subjects--Topical Terms:

548583
Environmental engineering.

Microbes in Water: Methods to Evaluate Sources, Temporal Variability, and Potential Disease Signals.
LDR:02142nmm a2200373 4500 001 2263423
005 20200316072009.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781085668330
035 $a (MiAaPQ)AAI13898958
035 $a AAI13898958
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wu, Huiyun. $3 3540513
245 1 0 $a Microbes in Water: Methods to Evaluate Sources, Temporal Variability, and Potential Disease Signals.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 102 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-04, Section: A.
500 $a Advisor: Xagoraraki, Irene.
502 $a Thesis (Ph.D.)--Michigan State University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Microbial contamination in waters has been one of the most pressing environmental health concerns in the world and the US. Understanding sources, temporal variability, and transport pathways of microbes in water is critical for the development of watershed remediation and pollution prevention plans. Furthermore, understating the occurrence of pathogens in water and its relationship to human and animal health may facilitate early detection and prevention of disease. This dissertation focuses on the study of impaired water bodies in the Great Lakes basin. In particular, maximum pollutant loading and its relationship to hydrological events is studied, microbial pollution source identification methods are investigated, and methods for analyzing water samples to identify disease signals are explored. The selected sites, located in Michigan, are sites for which Total Maximum Daily Load (TMDL) requirement for bacteria have been identified by the state and watershed management plans are being developed.
590 $a School code: 0128.
650 4 $a Environmental engineering. $3 548583
650 4 $a Aquatic sciences. $3 3174300
650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Natural resource management. $3 589570
650 4 $a Water resources management. $3 794747
650 4 $a Public health. $3 534748
650 4 $a Toxicology. $3 556884
650 4 $a Public policy. $3 532803
690 $a 0775
690 $a 0792
690 $a 0573
690 $a 0595
690 $a 0383
690 $a 0630
690 $a 0388
690 $a 0528
710 2 $a Michigan State University. $b Environmental Engineering - Doctor of Philosophy. $3 3189971
773 0 $t Dissertations Abstracts International $g 81-04A.
790 $a 0128
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13898958