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

The Washington orchard spray drift s...

Tsai, Ming-Yi.

Linked to FindBook

Google Book

Amazon

博客來

The Washington orchard spray drift study: Understanding the broader mechanisms of pesticide spray drift.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The Washington orchard spray drift study: Understanding the broader mechanisms of pesticide spray drift./
Author:	Tsai, Ming-Yi.
Description:	176 p.
Notes:	Adviser: Michael G. Yost.
Contained By:	Dissertation Abstracts International68-11B.
Subject:	Engineering, Agricultural. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3290607
ISBN:	9780549344384

The Washington orchard spray drift study: Understanding the broader mechanisms of pesticide spray drift.
Tsai, Ming-Yi.

The Washington orchard spray drift study: Understanding the broader mechanisms of pesticide spray drift. - 176 p.

Adviser: Michael G. Yost.

Thesis (Ph.D.)--University of Washington, 2007.

The Washington aerial and airblast spray drift studies were conducted over the summers of 2002 & 2004 respectively. This dissertation focuses on spray drift from orchard airblast spraying; however, in chapter 2, we start with modeling results from an aerial application. These results revealed the episodic nature of deposition from drift and demonstrated the importance of considering both changing meteorology and source location in characterizing spray drift.

ISBN: 9780549344384Subjects--Topical Terms:

1019504
Engineering, Agricultural.

The Washington orchard spray drift study: Understanding the broader mechanisms of pesticide spray drift.
LDR:03286nam 2200325 a 45 001 948626
005 20110524
008 110524s2007 ||||||||||||||||| ||eng d
020 $a 9780549344384
035 $a (UMI)AAI3290607
035 $a AAI3290607
040 $a UMI $c UMI
100 1 $a Tsai, Ming-Yi. $3 1272076
245 1 4 $a The Washington orchard spray drift study: Understanding the broader mechanisms of pesticide spray drift.
300 $a 176 p.
500 $a Adviser: Michael G. Yost.
500 $a Source: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7216.
502 $a Thesis (Ph.D.)--University of Washington, 2007.
520 $a The Washington aerial and airblast spray drift studies were conducted over the summers of 2002 & 2004 respectively. This dissertation focuses on spray drift from orchard airblast spraying; however, in chapter 2, we start with modeling results from an aerial application. These results revealed the episodic nature of deposition from drift and demonstrated the importance of considering both changing meteorology and source location in characterizing spray drift.
520 $a Chapter 3 describes the orchard spray drift study and analyzes our deposition results using the geostatistical method of ordinary kriging. Compared with along-wind transects, perpendicular transects (as per U.S. EPA's spray drift test guidelines) underestimated de position with distance by 22 to 94%, and AgDRIFTRTM underestimated deposition by 88 to 100%. Our orchard spray drift study showed that: (1) following EPA's spray drift test guidelines will underestimate deposition with distance, (2) transects perpendicular to tree rows overestimate near-field and across field deposition, (3) overestimation in the near-field results in underestimation of mass available for longer range drift.
520 $a Chapter 4 presents our orchard spray drift model (OSDM). OSDM is based on U.S. EPA's fugitive dust model and adds a complex multi-component source term. The calibrated model accurately estimated actual deposition in three of four spray events with concordance correlations ranging from 0.950 to 0.996. It also showed the overwhelming contribution to deposition of spray escaping from the top of the canopy, and the importance of changing wind direction and source orientation on the total deposition pattern of a spray event.
520 $a Chapter 5 compares optical remote sensing (Lidar) data to our OSDM output. Overall, it validates the general trends predicted by the model, but the smoothness of the data are quite different. These differences are a result of: monitoring an actual spray, the intermittent quality of our lidar data, and the idealized definition of the OSDM source term. The lidar data confirms the importance of changing wind direction and source position (as shown in time-resolved OSDM output), but suggests that for worker/bystander exposure, a Lagrangian model would be better suited for estimating the probability of being 'drifted' on.
590 $a School code: 0250.
650 4 $a Engineering, Agricultural. $3 1019504
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Environmental Sciences. $3 676987
690 $a 0539
690 $a 0768
690 $a 0775
710 2 $a University of Washington. $3 545923
773 0 $t Dissertation Abstracts International $g 68-11B.
790 $a 0250
790 1 0 $a Yost, Michael G., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3290607