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

FindBook

Google Book

Amazon

博客來

Multiple-point variance analysis for groundwater monitoring network design.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multiple-point variance analysis for groundwater monitoring network design./
作者:	Lin, Yu-Pin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 1995,
面頁冊數:	230 p.
附註:	Source: Dissertations Abstracts International, Volume: 57-01, Section: B.
Contained By:	Dissertations Abstracts International57-01B.
標題:	Civil engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9526123
ISBN:	9798209512493

Multiple-point variance analysis for groundwater monitoring network design.
Lin, Yu-Pin.

Multiple-point variance analysis for groundwater monitoring network design. - Ann Arbor : ProQuest Dissertations & Theses, 1995 - 230 p.

Source: Dissertations Abstracts International, Volume: 57-01, Section: B.

Thesis (Ph.D.)--Georgia Institute of Technology, 1995.

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

The selection of sampling sites and frequencies is the major issue of groundwater quality/quantity monitoring network design. The main problems in many groundwater monitoring networks are either insufficient information (i.e. too few monitoring wells), or redundant information (i.e. too many monitoring wells or clustered wells). These problems are further compounded by the high operation costs of the monitoring systems. Most groundwater quality monitoring network design algorithms have focused on the question of insufficient information, where additional wells are usually selected from a pool of potential points. This study presents a new effective algorithm which not only considers the issue of insuffient information, but also addresses the problem of redundant information. This new algorithm is called Multiple-Point Variance Analysis (MPV) which includes both Multiple-Point Variance Reduction Analysis (MPVR) for adding additional wells, and Multiple-Point Variance Increase Analysis (MPVI) for deleting the existing redundant wells. Optimal procedures are also developed for determining multiple additional monitoring well locations without any need for spatial discretization, denoted as optimal MPVR. A similar procedure is developed for optimal deletion of multiple redundant wells defined as optimal MPVI. The efficiency of these optimal procedures are tested both under hypothetical and actual field conditions.

ISBN: 9798209512493Subjects--Topical Terms:

860360
Civil engineering.
Subjects--Index Terms:

monitoring wells

Multiple-point variance analysis for groundwater monitoring network design.
LDR:02633nmm a2200361 4500 001 2349485
005 20220920134325.5
008 241004s1995 ||||||||||||||||| ||eng d
020 $a 9798209512493
035 $a (MiAaPQ)AAI9526123
035 $a AAI9526123
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lin, Yu-Pin. $3 3295109
245 1 0 $a Multiple-point variance analysis for groundwater monitoring network design.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1995
300 $a 230 p.
500 $a Source: Dissertations Abstracts International, Volume: 57-01, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Rouhani, Shahrokh.
502 $a Thesis (Ph.D.)--Georgia Institute of Technology, 1995.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The selection of sampling sites and frequencies is the major issue of groundwater quality/quantity monitoring network design. The main problems in many groundwater monitoring networks are either insufficient information (i.e. too few monitoring wells), or redundant information (i.e. too many monitoring wells or clustered wells). These problems are further compounded by the high operation costs of the monitoring systems. Most groundwater quality monitoring network design algorithms have focused on the question of insufficient information, where additional wells are usually selected from a pool of potential points. This study presents a new effective algorithm which not only considers the issue of insuffient information, but also addresses the problem of redundant information. This new algorithm is called Multiple-Point Variance Analysis (MPV) which includes both Multiple-Point Variance Reduction Analysis (MPVR) for adding additional wells, and Multiple-Point Variance Increase Analysis (MPVI) for deleting the existing redundant wells. Optimal procedures are also developed for determining multiple additional monitoring well locations without any need for spatial discretization, denoted as optimal MPVR. A similar procedure is developed for optimal deletion of multiple redundant wells defined as optimal MPVI. The efficiency of these optimal procedures are tested both under hypothetical and actual field conditions.
590 $a School code: 0078.
650 4 $a Civil engineering. $3 860360
650 4 $a Hydrology. $3 545716
650 4 $a Statistics. $3 517247
653 $a monitoring wells
653 $a water quality
690 $a 0543
690 $a 0388
690 $a 0463
710 2 $a Georgia Institute of Technology. $3 696730
773 0 $t Dissertations Abstracts International $g 57-01B.
790 $a 0078
791 $a Ph.D.
792 $a 1995
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9526123