Water Quality and Ecosystem Modelling: Practical Application on Lakes and Reservoirs

Author(s):  
Rafał Ulańczyk ◽  
Bartosz Łozowski ◽  
Andrzej Woźnica ◽  
Damian Absalon ◽  
Agnieszka Kolada
1991 ◽  
Vol 24 (6) ◽  
pp. 171-177 ◽  
Author(s):  
Zeng Fantang ◽  
Xu Zhencheng ◽  
Chen Xiancheng

A real-time mathematical model for three-dimensional tidal flow and water quality is presented in this paper. A control-volume-based difference method and a “power interpolation distribution” advocated by Patankar (1984) have been employed, and a concept of “separating the top-layer water” has been developed to solve the movable boundary problem. The model is unconditionally stable and convergent. Practical application of the model is illustrated by an example for the Pearl River Estuary.


1997 ◽  
Vol 96 (1-3) ◽  
pp. 91-110 ◽  
Author(s):  
David P. Hamilton ◽  
S.Geoffrey Schladow

2019 ◽  
Vol 20 (2) ◽  
pp. 469-477
Author(s):  
Yu Bai ◽  
Jinhua Gao ◽  
Ying Zhang

Abstract Nutrient (total nitrogen (TN) and total phosphorus (TP)) are considered the major indicators to be impacted by wind speed in shallow lakes and reservoirs. As a reservoir situated in Jilin Province, China, Yangshapao Reservoir has been employed for irrigation and urban water use. After 2 years’ observation carried out on water quality and wind speed, it was found that the TN, NH4 and TP are significantly correlated with the bottom shear stress attributed to wind, whereas the dissolved phosphorus (DP) is not. Bottom shear stress is also noticeably associated with dissolved oxygen (DO), thus promoting nutrient release into the water body. In winter, ice can effectively inhibit the wind-induced shear stress, and the TP concentration is evidently lower than in the other seasons. This scenario should be considered in the management of the water quality of the lake and similar lakes.


Author(s):  
Carolina Dona ◽  
Juan M. Sanchez ◽  
Vicente Caselles ◽  
Jose Antonio Dominguez ◽  
Antonio Camacho

2007 ◽  
Vol 56 (6) ◽  
pp. 19-27 ◽  
Author(s):  
F. De Laender ◽  
K.A.C. De Schamphelaere ◽  
C.R. Janssen ◽  
P.A. Vanrolleghem

Ecological effects of chemicals on ecosystems are the result of direct effects of the chemical, determined in single-species toxicity testing, and indirect effects due to ecological interactions between species. Current experimental methods to account for such interactions are expensive. Hence, mathematical models of ecosystems have been proposed as an alternative. The use of these models often requires extensive calibration, which hampers their use as a general tool in ecological effect assessments. Here we present a novel ecosystem modelling approach which assesses effects of chemicals on ecosystems by integrating single-species toxicity test results and ecological interactions, without the need for calibration on case-specific data. The methodology is validated by comparing predicted ecological effects of copper in a freshwater planktonic ecosystem with an experimental ecosystem data set. Two main effects reflected by this data set (a decrease of cladocerans and an increase of small phytoplankton) which were unpredictable from single-species toxicity test results alone, were predicted accurately by the developed model. Effects on populations which don't interact directly with other populations, were predicted equally well by single-species toxicity test results as by the ecosystem model. The small amount of required data and the high predictive capacity can make this ecosystem modelling approach an efficient tool in water quality criteria derivation for chemicals.


2019 ◽  
Vol 117 ◽  
pp. 181-187 ◽  
Author(s):  
Marieke A. Frassl ◽  
Jonathan M. Abell ◽  
Daniel A. Botelho ◽  
Kathy Cinque ◽  
Badin R. Gibbes ◽  
...  

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