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

Quantifying nutrient and sediment ex...

Zhang, Qian.

Linked to FindBook

Google Book

Amazon

博客來

Quantifying nutrient and sediment export from the Chesapeake Bay watershed: Retrospective analyses and method improvements.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantifying nutrient and sediment export from the Chesapeake Bay watershed: Retrospective analyses and method improvements./
Author:	Zhang, Qian.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	606 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.
Contained By:	Dissertation Abstracts International78-06B(E).
Subject:	Environmental engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10304540
ISBN:	9781369482034

Quantifying nutrient and sediment export from the Chesapeake Bay watershed: Retrospective analyses and method improvements.
Zhang, Qian.

Quantifying nutrient and sediment export from the Chesapeake Bay watershed: Retrospective analyses and method improvements. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 606 p.

Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.

Thesis (Ph.D.)--The Johns Hopkins University, 2016.

Toward Chesapeake Bay restoration, management programs have focused for decades on reducing nutrient and sediment loadings from the Chesapeake Bay watershed (CBW). To assess progress and shape future strategies, a critical need is to better understand historical loading changes from different regions of the CBW, using best current methods and data. In this regard, investigators at USGS have developed the "Weighted Regressions on Time, Discharge, and Season (WRTDS)" method for better loading and trend estimation.

ISBN: 9781369482034Subjects--Topical Terms:

548583
Environmental engineering.

Quantifying nutrient and sediment export from the Chesapeake Bay watershed: Retrospective analyses and method improvements.
LDR:03650nmm a2200325 4500 001 2123653
005 20171003070920.5
008 180830s2016 ||||||||||||||||| ||eng d
020 $a 9781369482034
035 $a (MiAaPQ)AAI10304540
035 $a AAI10304540
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zhang, Qian. $3 1930855
245 1 0 $a Quantifying nutrient and sediment export from the Chesapeake Bay watershed: Retrospective analyses and method improvements.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 606 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-06(E), Section: B.
500 $a Adviser: William P. Ball.
502 $a Thesis (Ph.D.)--The Johns Hopkins University, 2016.
520 $a Toward Chesapeake Bay restoration, management programs have focused for decades on reducing nutrient and sediment loadings from the Chesapeake Bay watershed (CBW). To assess progress and shape future strategies, a critical need is to better understand historical loading changes from different regions of the CBW, using best current methods and data. In this regard, investigators at USGS have developed the "Weighted Regressions on Time, Discharge, and Season (WRTDS)" method for better loading and trend estimation.
520 $a Motivated by the above need, this dissertation research focused on applying the WRTDS method to long-term monitoring records for various major tributaries, exploring the method's uncertainties, and improving the method's estimation performance. Specific contributions include: (1) analysis of long-term seasonal trends of riverine nutrient and sediment loadings from major tributaries to Chesapeake Bay; (2) evaluation of decadal-scale changes in sediment and nutrient processing within the Lower Susquehanna River Reservoir System (LSRRS); (3) analysis of uncertainty and sensitivity of results to sample availability and storm events when estimating LSRRS input and output loadings; (4) investigation of the temporal and spatial patterns of nutrient and sediment export from the Susquehanna River basin and major factors affecting such patterns; (5) development of an improved method for making robust interpretations of riverine concentration-discharge relationships and application of this method toward Chesapeake tributaries for a top-down synthesis of export patterns; (6) development of improved methods for estimating riverine concentration and loading through incorporation of antecedent discharge conditions into WRTDS and evaluation of the methods' performance under various sampling strategies; and, (7) comparison of alternative approaches for quantifying long-range dependence in irregularly sampled water-quality data through Monte-Carlo simulations.
520 $a Overall, this research has demonstrated the utility of statistical modeling approaches toward large-scale analysis and synthesis of decadal-scale water-quality data collected in river systems. The applications to the CBW have provided new evidence on the decreasing trapping performance of the LSRRS and new understanding of nutrient and sediment export from various locations in the watershed. In addition, this work has made important methodological advancements with respect to WRTDS estimation performance, interpretation of riverine concentration-discharge relationships, and quantification of long-range dependence in irregularly sampled data.
590 $a School code: 0098.
650 4 $a Environmental engineering. $3 548583
650 4 $a Environmental science. $3 677245
650 4 $a Hydrologic sciences. $3 3168407
690 $a 0775
690 $a 0768
690 $a 0388
710 2 $a The Johns Hopkins University. $b Geography and Environmental Engineering. $3 3285583
773 0 $t Dissertation Abstracts International $g 78-06B(E).
790 $a 0098
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10304540