BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Spatial Pattern Dynamics in Aquatic Ecosystem Modelling: UNESCO-IHE PhD Thesis

Spatial Pattern Dynamics in Aquatic Ecosystem Modelling: UNESCO-IHE PhD Thesis

Spatial Pattern Dynamics in Aquatic Ecosystem Modelling: UNESCO-IHE PhD Thesis Paperback / softback - 2009 - 1st Edition

by Hong Li

Add to wish list
  • New
  • Paperback
New

Description

Paperback / softback. New. Focuses on the simulation of spatial patterns in aquatic ecosystems. This title explores various modelling approaches to reveal processes and factors contributing to the spatial pattern development at various scales. It also represents spatial pattern dynamics of aquatic populations in aquatic ecosystems.
Ask the seller a question Add to wish list
A$170.35
A$19.22 Delivery to USA
Standard delivery: 14 to 21 days
More delivery options
Ships from The Saint Bookstore (Merseyside, United Kingdom)

Details

About The Saint Bookstore Merseyside, United Kingdom

Biblio member since 2018

The Saint Bookstore specialises in hard to find titles & also offers delivery worldwide for reasonable rates.

Terms of Sale: Refunds or Returns: A full refund of the price paid will be given if returned within 30 days in undamaged condition. If the product is faulty, we may send a replacement.

Browse books from The Saint Bookstore

Reader reviews for Spatial Pattern Dynamics in Aquatic Ecosystem Modelling: UNESCO-IHE PhD Thesis

From the publisher

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.

About the author

Hong Li carried out her PhD research in collaboration with Deltares Delft Hydraulics, UNESCO-IHE and Delft University of Technology. Her current interests are in spatial temporal dynamics in aquatic ecosystems. She has experience in several areas including, hydroinformatics and ecohydraulics modelling, aquatic population dynamics, and modelling spatial patterns of aquatic populations with various data sources and advanced computational technologies. She holds a M.Sc. degree in Hydrology from Hohai University, China and one in Hydroinformatics from UNESCO-IHE Institute for Water Education, the Netherlands.
tracking-