東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Low-Cost Improvements in Pollution M...

Furuta, Daniel.

FindBook

Google Book

Amazon

博客來

Low-Cost Improvements in Pollution Monitoring Methods.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Low-Cost Improvements in Pollution Monitoring Methods./
作者:	Furuta, Daniel.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	112 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
Contained By:	Dissertations Abstracts International85-09B.
標題:	Environmental science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30993598
ISBN:	9798381952018

Low-Cost Improvements in Pollution Monitoring Methods.
Furuta, Daniel.

Low-Cost Improvements in Pollution Monitoring Methods. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 112 p.

Source: Dissertations Abstracts International, Volume: 85-09, Section: B.

Thesis (Ph.D.)--University of Minnesota, 2024.

Pollution research and mitigation efforts rely on the accuracy of data collected by monitoring programs. I present work on improving monitoring protocols for two important pollutants. As a step towards improving the spatiotemporal resolution and lowering the cost of ground-level methane sensing, I design and thoroughly characterize an inexpensive sensor node for near-atmospheric methane monitoring. In an effort to improve stormwater monitoring methods, I develop a new model for runoff pollution and use it to simulate stormwater sampling, resulting in two suggested protocol modifications with the potential to substantially improve accuracy without increased cost. Throughout, I focus in particular on developing devices and methods that will improve monitoring accuracy or increase monitoring resolution at the same or lower cost as current approaches.

ISBN: 9798381952018Subjects--Topical Terms:

677245
Environmental science.
Subjects--Index Terms:

Pollution research

Low-Cost Improvements in Pollution Monitoring Methods.
LDR:01944nmm a2200361 4500 001 2403233
005 20241112095335.5
006 m o d
007 cr#unu||||||||
008 251215s2024 ||||||||||||||||| ||eng d
020 $a 9798381952018
035 $a (MiAaPQ)AAI30993598
035 $a AAI30993598
040 $a MiAaPQ $c MiAaPQ
100 1 $a Furuta, Daniel. $3 3773496
245 1 0 $a Low-Cost Improvements in Pollution Monitoring Methods.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 112 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-09, Section: B.
500 $a Advisor: Wilson, Bruce.
502 $a Thesis (Ph.D.)--University of Minnesota, 2024.
520 $a Pollution research and mitigation efforts rely on the accuracy of data collected by monitoring programs. I present work on improving monitoring protocols for two important pollutants. As a step towards improving the spatiotemporal resolution and lowering the cost of ground-level methane sensing, I design and thoroughly characterize an inexpensive sensor node for near-atmospheric methane monitoring. In an effort to improve stormwater monitoring methods, I develop a new model for runoff pollution and use it to simulate stormwater sampling, resulting in two suggested protocol modifications with the potential to substantially improve accuracy without increased cost. Throughout, I focus in particular on developing devices and methods that will improve monitoring accuracy or increase monitoring resolution at the same or lower cost as current approaches.
590 $a School code: 0130.
650 4 $a Environmental science. $3 677245
650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Environmental engineering. $3 548583
653 $a Pollution research
653 $a Spatiotemporal resolution
653 $a Pollution monitoring methods
690 $a 0768
690 $a 0775
690 $a 0388
710 2 $a University of Minnesota. $b Biosystems and Agricultural Engineering. $3 3351400
773 0 $t Dissertations Abstracts International $g 85-09B.
790 $a 0130
791 $a Ph.D.
792 $a 2024
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30993598