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

Modeling of water temperature, dissolved oxygen, and fish growth rate in stratified fish ponds using stochastic input variables.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling of water temperature, dissolved oxygen, and fish growth rate in stratified fish ponds using stochastic input variables./
作者:	Lu, Zhimin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2003,
面頁冊數:	258 p.
附註:	Source: Dissertations Abstracts International, Volume: 66-01, Section: B.
Contained By:	Dissertations Abstracts International66-01B.
標題:	Agricultural engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3120970
ISBN:	9780496683253

Modeling of water temperature, dissolved oxygen, and fish growth rate in stratified fish ponds using stochastic input variables.
Lu, Zhimin.

Modeling of water temperature, dissolved oxygen, and fish growth rate in stratified fish ponds using stochastic input variables. - Ann Arbor : ProQuest Dissertations & Theses, 2003 - 258 p.

Source: Dissertations Abstracts International, Volume: 66-01, Section: B.

Thesis (Ph.D.)--University of California, Davis, 2003.

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

A computer model has been developed to simulate water temperature, dissolved oxygen, and fish growth in a stratified fishpond using stochastic weather variables as input. The model consists of generated weather variables and calculated water quality and fish growth rate. The weather variables are generated using Monte Carlo methods, and include solar radiation, air temperature, and wind speed and direction. The water quality parameters are state variables that include water temperature, dissolved oxygen (DO), phytoplankton (in terms of chlorophyll a, Chla), and total ammonia nitrogen (TAN). Water temperature and DO are predicted at three depths in the water column and the other state variables are assumed to be uniformly distributed. Fish growth rates are predicted under the effects of weather variables and water quality for various pond fertilization treatments. The model has been calibrated and validated using data from the Pond Dynamics/Aquaculture Collaborative Research Program (PD/A CRSP) database. To evaluate the model's performance for different pond management strategies and different locations, model simulations were compared to data collected from 36 fishponds with 11 fertilization treatments in Thailand, Rwanda, and Honduras sites. The comparisons of simulations and observed data indicate that the model is capable of predicting water temperature and DO stratification and fish growth for simulations up to six months long. The simulated results indicate that water temperature and DO are affected by weather variables, especially solar radiation. Changes in Chla and DO are affected by environmental conditions and fish grazing. The stochastically generated weather variables have little influence on fish growth. Fish growth rate is affected by changes in Chla and fertilization rate because the model assumes that phytoplankton is the preferred food for tilapia. The current model is limited by the uncertainty of available weather data and the corresponding limitations in the weather models. The model did not capture the Chla dynamics for some ponds for the Thailand site. These ponds also had a high variability in observed Chla for pond replicates, highlighting the complexity of the pond ecosystem. The fish growth simulations represent the effects of weather variables, DO and TAN concentrations.

ISBN: 9780496683253Subjects--Topical Terms:

3168406
Agricultural engineering.
Subjects--Index Terms:

Dissolved oxygen

Modeling of water temperature, dissolved oxygen, and fish growth rate in stratified fish ponds using stochastic input variables.
LDR:03655nmm a2200385 4500 001 2348679
005 20220912135633.5
008 241004s2003 ||||||||||||||||| ||eng d
020 $a 9780496683253
035 $a (MiAaPQ)AAI3120970
035 $a AAI3120970
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lu, Zhimin. $3 3688048
245 1 0 $a Modeling of water temperature, dissolved oxygen, and fish growth rate in stratified fish ponds using stochastic input variables.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2003
300 $a 258 p.
500 $a Source: Dissertations Abstracts International, Volume: 66-01, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Piedrahita, Raul.
502 $a Thesis (Ph.D.)--University of California, Davis, 2003.
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 A computer model has been developed to simulate water temperature, dissolved oxygen, and fish growth in a stratified fishpond using stochastic weather variables as input. The model consists of generated weather variables and calculated water quality and fish growth rate. The weather variables are generated using Monte Carlo methods, and include solar radiation, air temperature, and wind speed and direction. The water quality parameters are state variables that include water temperature, dissolved oxygen (DO), phytoplankton (in terms of chlorophyll a, Chla), and total ammonia nitrogen (TAN). Water temperature and DO are predicted at three depths in the water column and the other state variables are assumed to be uniformly distributed. Fish growth rates are predicted under the effects of weather variables and water quality for various pond fertilization treatments. The model has been calibrated and validated using data from the Pond Dynamics/Aquaculture Collaborative Research Program (PD/A CRSP) database. To evaluate the model's performance for different pond management strategies and different locations, model simulations were compared to data collected from 36 fishponds with 11 fertilization treatments in Thailand, Rwanda, and Honduras sites. The comparisons of simulations and observed data indicate that the model is capable of predicting water temperature and DO stratification and fish growth for simulations up to six months long. The simulated results indicate that water temperature and DO are affected by weather variables, especially solar radiation. Changes in Chla and DO are affected by environmental conditions and fish grazing. The stochastically generated weather variables have little influence on fish growth. Fish growth rate is affected by changes in Chla and fertilization rate because the model assumes that phytoplankton is the preferred food for tilapia. The current model is limited by the uncertainty of available weather data and the corresponding limitations in the weather models. The model did not capture the Chla dynamics for some ponds for the Thailand site. These ponds also had a high variability in observed Chla for pond replicates, highlighting the complexity of the pond ecosystem. The fish growth simulations represent the effects of weather variables, DO and TAN concentrations.
590 $a School code: 0029.
650 4 $a Agricultural engineering. $3 3168406
650 4 $a Aquaculture. $3 545878
650 4 $a Fish production. $3 3688049
653 $a Dissolved oxygen
653 $a Fish ponds
653 $a Stratified
653 $a Water temperature
690 $a 0539
690 $a 0792
690 $a 0792
710 2 $a University of California, Davis. $3 1018682
773 0 $t Dissertations Abstracts International $g 66-01B.
790 $a 0029
791 $a Ph.D.
792 $a 2003
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3120970