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Modelling nature-based solutionsintegrating computational and participatory scenario modelling for environmental management and planning /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modelling nature-based solutionsedited by Neil Sang.
其他題名:	integrating computational and participatory scenario modelling for environmental management and planning /
其他作者:	Sang, Neil.
出版者:	Cambridge :Cambridge University Press,2020.
面頁冊數:	xii, 365 p. :ill., digital ;24 cm.
附註:	Title from publisher's bibliographic system (viewed on 13 Mar 2020).
標題:	Environmental managementComputer simulation.
電子資源:	https://doi.org/10.1017/9781108553827
ISBN:	9781108553827$q(electronic bk.)

Modelling nature-based solutionsintegrating computational and participatory scenario modelling for environmental management and planning /
Modelling nature-based solutionsintegrating computational and participatory scenario modelling for environmental management and planning /[electronic resource] :edited by Neil Sang. - Cambridge :Cambridge University Press,2020. - xii, 365 p. :ill., digital ;24 cm.

Title from publisher's bibliographic system (viewed on 13 Mar 2020).

Landscape modelling and stakeholder engagement : participatory approaches and landscape visualisation / David Miller, A?sa Ode Sang, Iain Brown, Jose Munoz-Rojas, Chen Wang and Gillian Donaldson-Selby -- Agent-based models of coupled social and natural systems / Jiaqi Ge and Gary Polhill -- Modelling nature-based solutions from soil ecosystem services / Matthew Aitkenhead -- Modelling water resources for nature-based solutions / Sarah Dunn -- Models at the service of marine nature-based solutions / Ioanna Akoumianaki and Arthur Capet -- Coastal and freshwater flood models : a review in the context of NBS / Neil Sang -- Nature-based solutions to urban microclimate regulation / Johanna Deak Sjo?man and Erik Johansson -- Data mining, machine learning and spatial data infrastructures for scenario modelling / Neil Sang and Matthew Aitkenhead -- Can geodesign be used to facilitate boundary management for planning and implementation of nature-based solutions? / Sarah Gottwald, Ron Janssen and Christopher Raymond -- Integrating models into practice--recommendations / Neil Sang, Ionna Akoumianaki, Matthew Aitkenhead, David Miller and A?sa Ode-Sang.

Nature-based solutions (NBS) are essential to ensure a sustainable society and healthy ecosystem over the coming decades. However, the systems to be managed are both broad and complex, requiring an integrated understanding of both bio-physical systems, such as soils and water, and economic and social systems, such as urban development and human behaviour. This edited book joins these domains of knowledge together from an applied perspective and considers how computer science can help. It takes a strategic look at the benefits and barriers to using modelling within environmental management and planning practice. It delves further by providing an in-depth comparative review of a wide range of models from a variety of scientific disciplines of interest with examples of their use for NBS. As such, this illustrated guide is designed to help students, researchers and practitioners navigate the huge range of modelling options available and develop the common understanding to work inter-disciplinarily.

ISBN: 9781108553827$q(electronic bk.)Subjects--Topical Terms:

238011
Environmental management
--Computer simulation.

LC Class. No.: GE300 / .M649 2020

Dewey Class. No.: 333.70113

Modelling nature-based solutionsintegrating computational and participatory scenario modelling for environmental management and planning /
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520 $a Nature-based solutions (NBS) are essential to ensure a sustainable society and healthy ecosystem over the coming decades. However, the systems to be managed are both broad and complex, requiring an integrated understanding of both bio-physical systems, such as soils and water, and economic and social systems, such as urban development and human behaviour. This edited book joins these domains of knowledge together from an applied perspective and considers how computer science can help. It takes a strategic look at the benefits and barriers to using modelling within environmental management and planning practice. It delves further by providing an in-depth comparative review of a wide range of models from a variety of scientific disciplines of interest with examples of their use for NBS. As such, this illustrated guide is designed to help students, researchers and practitioners navigate the huge range of modelling options available and develop the common understanding to work inter-disciplinarily.
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