scispace - formally typeset
J

J. Andrew G. Cooper

Researcher at Ulster University

Publications -  62
Citations -  2724

J. Andrew G. Cooper is an academic researcher from Ulster University. The author has contributed to research in topics: Airflow & Beach morphodynamics. The author has an hindex of 26, co-authored 56 publications receiving 2430 citations.

Papers
More filters
Journal ArticleDOI

Sea-level rise and shoreline retreat: time to abandon the Bruun Rule

TL;DR: The Bruun Rule has no power for predicting shoreline behaviour under rising sea level and should be abandoned as mentioned in this paper. But, despite the lack of understanding, many appraisals have been undertaken that employ a concept known as the "Bruun Rule" and many studies disprove it in the field.
Journal ArticleDOI

A multi-scale coastal vulnerability index: A tool for coastal managers?

TL;DR: In this paper, the authors investigated the implications of spatial scale in depicting coastal hazard risk, and developed coastal vulnerability indices at national (Northern Ireland), local authority and site levels, which were separated into three sub-indices: a coastal characteristics sub-index concerned with the resilience and susceptibility of the coast to erosion, a coastal forcing subindex to characterize the forcing variables contributing to wave-induced erosion and a socio-economic indicator.
Journal ArticleDOI

Late Quaternary Sea-Level Change in South Africa

TL;DR: In this paper, a Late Quaternary sea-level curve for South Africa is presented on the basis of new and published data from a range of sea level indicators and a variety of locations.
Journal ArticleDOI

Society and Sea Level Rise

TL;DR: In this paper, a simple mathematical relationship called the Bruun rule is not a suitable means for calculating shoreline retreat except under a limited range of environmental circumstances, and a more complex Bruun-based approach is proposed.
Journal ArticleDOI

The estuarine health index: A new approach to scientific information transfer

TL;DR: An approach to the acquisition and effective transfer of integrated, multidisciplinary, environmental information from scientist to end-user is outlined and some of its benefits in terms of temporal and spatial environmental assessment are outlined.