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Morphometric Classification and GIS-Based Data Analysis in Coastal Modeling and Management
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. (Miljöanalys)
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. (Miljöanalys)
2011 (English)In: Open Environmental Sciences, ISSN 1876-3251, Vol. 5, 1-17 p.Article in journal (Refereed) Published
Abstract [en]

This paper describes how morphometric classification (based on openness, form, depth and size) and Geographic Information Systems (GIS) can be used for possible identification of coastal areas sensitive to pollution. Generalized maps of key water properties are then created for as large parts of Europe as possible using large amounts of empirical data. These maps give an overview of the general spatial pattern of the presented properties and offer identification of highly polluted coastal areas. They also provide input and reference data for two dynamic ecosystem models (CoastWeb and CoastMab) suitable for in-depth studies of individual coastal areas or regions. A modeling case study of coastal eutrophication is presented to illustrate that these general models may be practically applied for simulations related to the response of coastal ecosystems to various remedial scenarios using only the data presented in the morphometric coastal classification system and in the generalized overview maps.

Place, publisher, year, edition, pages
2011. Vol. 5, 1-17 p.
Keyword [en]
Coastal areas, morphometric classification, GIS, maps, ecosystem modeling
National Category
Earth and Related Environmental Sciences
Research subject
Earth Science with specialization in Environmental Analysis
Identifiers
URN: urn:nbn:se:uu:diva-150360DOI: 10.2174/1876325101105010001OAI: oai:DiVA.org:uu-150360DiVA: diva2:407109
Available from: 2011-03-29 Created: 2011-03-29 Last updated: 2011-10-14Bibliographically approved
In thesis
1. Form and Function of Coastal Areas
Open this publication in new window or tab >>Form and Function of Coastal Areas
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Coastal waters have high biological productivity and provide goods and services with a high monetary value. Coasts are used by many different stakeholders and are often densely populated. These factors put coastal ecosystems under heavy environmental pressure and place high demands on politicians and coastal managers, who need suitable tools to facilitate decision-making. Geographic information systems and predictive mass balance models are two such tools, and the form of coastal areas (morphometry) is an important component of both tools in coastal management.

In this thesis it was shown that the form and function of coastal areas are interrelated in a number of ways. Morphometric parameters can be used to identify coastal areas that are more sensitive to pollution, or that potentially have higher ecological value; and morphometric analysis is an essential part of mass balance modeling. New ways of using morphometry for estimation of benthic production potential were presented and tested. It was shown that there are great differences in benthic production potential among Swedish coastal areas and regions. Different morphometric descriptors of openness were developed and tested; these can be used in habitat mapping or for prediction of sediment bottom types. Significant correlation was found between the morphometric properties of coastal areas, the proportion of accumulation bottom areas and the critical depth. Statistical models for prediction of accumulation bottom areas and critical depth were also obtained using multiple regression. Large differences were found in empirical values of bottom dynamic conditions from two different sources. Algorithms from a well tested mass balance model were adapted for modeling salt in the Baltic Sea. This enabled calculation of water exchange between five basins on a monthly time scale, which can be of use in future modeling studies. The study included morphometric analysis for structuring the model and for calculation of input data.

 

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2011. 52 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 819
Keyword
Coastal areas, morphometry, geographic information systems, GIS, ecological value, wave exposure, sediment, bottom dynamic conditions, mass balance modeling
National Category
Other Earth and Related Environmental Sciences
Research subject
Earth Science with specialization in Environmental Analysis
Identifiers
urn:nbn:se:uu:diva-150645 (URN)978-91-554-8057-8 (ISBN)
Public defence
2011-05-20, Axel Hambergsalen, Department of Earth Sciences, Villavägen 16, Uppsala, 10:00 (Swedish)
Opponent
Supervisors
Available from: 2011-04-27 Created: 2011-04-04 Last updated: 2011-05-05

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