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

Model Studies on the Dynamics of Hyd...

Kong, Xiangzhen.

FindBook

Google Book

Amazon

博客來

Model Studies on the Dynamics of Hydrophobic Organic Compounds in Shallow Lake Ecosystems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Model Studies on the Dynamics of Hydrophobic Organic Compounds in Shallow Lake Ecosystems./
作者:	Kong, Xiangzhen.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	257 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
Contained By:	Dissertations Abstracts International82-11B.
標題:	Water quality. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28229901
ISBN:	9798597031255

Model Studies on the Dynamics of Hydrophobic Organic Compounds in Shallow Lake Ecosystems.
Kong, Xiangzhen.

Model Studies on the Dynamics of Hydrophobic Organic Compounds in Shallow Lake Ecosystems. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 257 p.

Source: Dissertations Abstracts International, Volume: 82-11, Section: B.

Thesis (Ph.D.)--Wageningen University and Research, 2018.

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

The twentieth century witnesses the widespread eutrophication and intensive organic contaminants in earth surface water systems located in highly populated areas, resulting in severe deterioration of water quality in freshwater ecosystems around the globe. This is particularly the case for many freshwater shallow lakes in China. The interaction between excess nutrient loading and enormous organic contaminants discharge has raised increasing attention from both scientists and lake managers, whereas accurate prediction for both substances cannot be properly predicted based on knowledge from either field alone. However, efforts in the related scientific research, particularly the development of relevant modeling tools, remains scarce. To this end, the aim of this thesis is to develop an integrated ecological and chemical modeling tool, which is composed of contaminant fate module (CF), food web accumulation module (FW) and ecological module (EM), in the hope to fulfill the research gap above. We collected three groups of HOCs, namely hexachlorocyclohexanes (HCHs), polycyclic aromatic hydrocarbons (PAHs) and Per- and polyfluoroalkyl substances (PFASs), in multiple compartments from two Chinese shallow lakes that are currently in distinct ecological states, i.e., Lake Small Baiyangdian (in clear state) and Lake Chaohu (in turbid state). In particular, paleo-records of PAHs residual levels in Lake Chaohu in two sediment cores covering the time span of over 60 years were obtained. We elaborated to explicitly investigate the fate, transport and transformation of these contaminants in these two shallow lakes using the developed modeling tool, with either steady state or dynamic simulations (in time scales of both short-term intra-annual (1-2 years) and long-term inter-annual (60 years)). The following issues were addressed: 1) fate of the chemicals in lake environment and the dominant processes; 2) seasonal patterns of chemicals in lakes and the driving factors; 3) long-term dynamics of chemicals in lakes and the driving factors; and 4) impact of abrupt changes in ecosystems on the distribution of contaminations in shallow lakes. For modeling techniques, we implemented uncertainty analysis on the model using both classic Monde Carlo and more advanced Bayesian Markov Chain Monte Carlo (MCMC) algorithm. We recommend to apply MCMC to contaminant modeling approach to make calibration possible and to remove the overestimated uncertainty in predictions. Furthermore, we compared the advantages and disadvantages of our model to other models with similar objectives, and we further proposed a more comprehensive modeling framework that incorporates hydrodynamic models to address spatial variations of contamination, which embraces the fruitful outcomes in aquatic ecosystem modeling. Finally, we advocate to add modeling approach as the third dimension for the 'contemporary & paleo-observations' strategy, which together contribute to the 'golden triangle' framework. New insights and discoveries may emerge for the evaluation on the organic contaminants in shallow lake systems, which may contribute to ecological and human health risk assessment. This 'golden triangle' may serve as the multidiscipline framework for limnologic research in the future.

ISBN: 9798597031255Subjects--Topical Terms:

556913
Water quality.
Subjects--Index Terms:

Aquatic ecology

Model Studies on the Dynamics of Hydrophobic Organic Compounds in Shallow Lake Ecosystems.
LDR:04469nmm a2200361 4500 001 2396648
005 20240611104908.5
006 m o d
007 cr#unu||||||||
008 251215s2018 ||||||||||||||||| ||eng d
020 $a 9798597031255
035 $a (MiAaPQ)AAI28229901
035 $a (MiAaPQ)Wageningen543969
035 $a AAI28229901
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kong, Xiangzhen. $3 3442634
245 1 0 $a Model Studies on the Dynamics of Hydrophobic Organic Compounds in Shallow Lake Ecosystems.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 257 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
500 $a Advisor: Mooij, W. M.;Koelmans, A. A.
502 $a Thesis (Ph.D.)--Wageningen University and Research, 2018.
506 $a This item must not be sold to any third party vendors.
520 $a The twentieth century witnesses the widespread eutrophication and intensive organic contaminants in earth surface water systems located in highly populated areas, resulting in severe deterioration of water quality in freshwater ecosystems around the globe. This is particularly the case for many freshwater shallow lakes in China. The interaction between excess nutrient loading and enormous organic contaminants discharge has raised increasing attention from both scientists and lake managers, whereas accurate prediction for both substances cannot be properly predicted based on knowledge from either field alone. However, efforts in the related scientific research, particularly the development of relevant modeling tools, remains scarce. To this end, the aim of this thesis is to develop an integrated ecological and chemical modeling tool, which is composed of contaminant fate module (CF), food web accumulation module (FW) and ecological module (EM), in the hope to fulfill the research gap above. We collected three groups of HOCs, namely hexachlorocyclohexanes (HCHs), polycyclic aromatic hydrocarbons (PAHs) and Per- and polyfluoroalkyl substances (PFASs), in multiple compartments from two Chinese shallow lakes that are currently in distinct ecological states, i.e., Lake Small Baiyangdian (in clear state) and Lake Chaohu (in turbid state). In particular, paleo-records of PAHs residual levels in Lake Chaohu in two sediment cores covering the time span of over 60 years were obtained. We elaborated to explicitly investigate the fate, transport and transformation of these contaminants in these two shallow lakes using the developed modeling tool, with either steady state or dynamic simulations (in time scales of both short-term intra-annual (1-2 years) and long-term inter-annual (60 years)). The following issues were addressed: 1) fate of the chemicals in lake environment and the dominant processes; 2) seasonal patterns of chemicals in lakes and the driving factors; 3) long-term dynamics of chemicals in lakes and the driving factors; and 4) impact of abrupt changes in ecosystems on the distribution of contaminations in shallow lakes. For modeling techniques, we implemented uncertainty analysis on the model using both classic Monde Carlo and more advanced Bayesian Markov Chain Monte Carlo (MCMC) algorithm. We recommend to apply MCMC to contaminant modeling approach to make calibration possible and to remove the overestimated uncertainty in predictions. Furthermore, we compared the advantages and disadvantages of our model to other models with similar objectives, and we further proposed a more comprehensive modeling framework that incorporates hydrodynamic models to address spatial variations of contamination, which embraces the fruitful outcomes in aquatic ecosystem modeling. Finally, we advocate to add modeling approach as the third dimension for the 'contemporary & paleo-observations' strategy, which together contribute to the 'golden triangle' framework. New insights and discoveries may emerge for the evaluation on the organic contaminants in shallow lake systems, which may contribute to ecological and human health risk assessment. This 'golden triangle' may serve as the multidiscipline framework for limnologic research in the future.
590 $a School code: 2157.
650 4 $a Water quality. $3 556913
650 4 $a Aquatic ecology. $3 625176
650 4 $a Multimedia. $2 gtt $3 1000510
650 4 $a Aquatic ecosystems. $3 3560371
650 4 $a Environmental research. $3 3689712
650 4 $a Limnology. $3 545788
653 $a Aquatic ecology
653 $a Hexachlorocyclohexanes
690 $a 0329
690 $a 0793
710 2 $a Wageningen University and Research. $3 3557914
773 0 $t Dissertations Abstracts International $g 82-11B.
790 $a 2157
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28229901