Artificial bifurcation effect on downstream channel dynamics of a large lowland river, the Atchafalaya

2021 ◽  
Author(s):  
Ming Tang ◽  
Y. Jun Xu ◽  
Bo Wang ◽  
Wei Xu ◽  
Heqin Cheng ◽  
...  
Keyword(s):  
Lowland River ◽  
Channel Dynamics

The distribution and turnover of benthic organic matter in a lowland river: influence of hydrology, seston load and impoundment

2002 ◽  
Vol 18 (2) ◽  
pp. 107-122 ◽  
Author(s):  
S.C. Wanner ◽  
K. Ockenfeld ◽  
M. Brunke ◽  
H. Fischer ◽  
M. Pusch
Keyword(s):  
Organic Matter ◽  
Lowland River ◽  
Benthic Organic Matter

scholarly journals Computing Optimal Properties of Drugs Using Mathematical Models of Single Channel Dynamics

2018 ◽  
Vol 6 (1) ◽  
pp. 41-64 ◽  
Author(s):  
Aslak Tveito ◽  
Mary M. Maleckar ◽  
Glenn T. Lines
Keyword(s):  
Differential Equations ◽  
Markov Model ◽  
Stochastic Models ◽  
Markov Models ◽  
Single Channel ◽  
Probability Density Functions ◽  
Density Functions ◽  
Mathematical Framework ◽  
Wild Type ◽  
Channel Dynamics

AbstractSingle channel dynamics can be modeled using stochastic differential equations, and the dynamics of the state of the channel (e.g. open, closed, inactivated) can be represented using Markov models. Such models can also be used to represent the effect of mutations as well as the effect of drugs used to alleviate deleterious effects of mutations. Based on the Markov model and the stochastic models of the single channel, it is possible to derive deterministic partial differential equations (PDEs) giving the probability density functions (PDFs) of the states of the Markov model. In this study, we have analyzed PDEs modeling wild type (WT) channels, mutant channels (MT) and mutant channels for which a drug has been applied (MTD). Our aim is to show that it is possible to optimize the parameters of a given drug such that the solution of theMTD model is very close to that of the WT: the mutation’s effect is, theoretically, reduced significantly.We will present the mathematical framework underpinning this methodology and apply it to several examples. In particular, we will show that it is possible to use the method to, theoretically, improve the properties of some well-known existing drugs.

Modelling suppression of cyanobacterial blooms by flow management in a lowland river

2005 ◽  
Vol 22 (1) ◽  
pp. 109-114 ◽  
Author(s):  
Simon M. Mitrovic ◽  
Bruce C. Chessman ◽  
Lee C. Bowling ◽  
Richard H. Cooke
Keyword(s):  
Cyanobacterial Blooms ◽  
Lowland River ◽  
Flow Management
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