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Spatial Pattern Dynamics in Aquatic Ecosystem Modelling - UNESCO-IHE PhD Thesis (Paperback) Loot Price: R2,613
Discovery Miles 26 130
Spatial Pattern Dynamics in Aquatic Ecosystem Modelling - UNESCO-IHE PhD Thesis (Paperback): Hong Li

Spatial Pattern Dynamics in Aquatic Ecosystem Modelling - UNESCO-IHE PhD Thesis (Paperback)

Hong Li

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Loot Price R2,613 Discovery Miles 26 130 | Repayment Terms: R245 pm x 12*

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In this work, several modelling approaches are explored to represent spatial pattern dynamics of aquatic populations in aquatic ecosystems by the combination of models, knowledge and data in different scales.

It is shown that including spatially distributed inputs retrieved from Remote Sensing images, a conventional physically-based Harmful Algal Bloom model can be enhanced. Also, Cellular Automata based models using high resolution photographs prove to be good in representing aquatic plant growth. Multi-Agent Systems can capture well the spatial patterns exhibited in GIS density maps. A synthesis modelling framework was developed to include biological/ecological growth and diffusive processes, and local effects in conventional modelling framework. The results of the complementary modelling paradigms investigated in this research can be of help in achieving a sustainable environmental management strategy.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: December 2009
First published: 2009
Authors: Hong Li
Dimensions: 254 x 178 x 17mm (L x W x T)
Format: Paperback
Pages: 202
ISBN-13: 978-0-415-55897-6
Categories: Books > Professional & Technical > Civil engineering, surveying & building > General
Books > Professional & Technical > Environmental engineering & technology > General
Books > Professional & Technical > Agriculture & farming > Aquaculture & fishing: practice & techniques
Books > Business & Economics > Industry & industrial studies > Primary industries > Agriculture & related industries
Books > Earth & environment > Earth sciences > The hydrosphere > General
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LSN: 0-415-55897-2
Barcode: 9780415558976

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