scispace - formally typeset
R

Ranasinghe W M R J B Ranasinghe

Researcher at UNESCO-IHE Institute for Water Education

Publications -  20
Citations -  674

Ranasinghe W M R J B Ranasinghe is an academic researcher from UNESCO-IHE Institute for Water Education. The author has contributed to research in topics: Climate change & Sediment transport. The author has an hindex of 8, co-authored 20 publications receiving 480 citations. Previous affiliations of Ranasinghe W M R J B Ranasinghe include Australian National University.

Papers
More filters
Journal ArticleDOI

Assessing climate change impacts on open sandy coasts: A review

TL;DR: In this article, a review aims to promote the adoption of best practice in local scale assessments of potential physical impacts of climate change on open sandy coasts by summarising the potential first order physical impacts, suggesting a standard modelling framework for local scale CC impact assessments, identifying future research needs to facilitate the effective implementation of the prescribed modelling framework, and suggesting ways to address the identified research needs.
Journal ArticleDOI

Response of the Bight of Benin (Gulf of Guinea, West Africa) coastline to anthropogenic and natural forcing, Part1: Wave climate variability and impacts on the longshore sediment transport

TL;DR: In this paper, a general overview of coastal evolution in the Bight of Benin and the physical processes that control this evolution is provided. But, little is known of the environmental drivers, notably the wave climate, that governs longshore sediment transport and the ensuing pattern of shoreline evolution of this coastal zone.
Journal ArticleDOI

The initial morphological response of the sand engine: a process based modelling study

TL;DR: In this paper, a detailed numerical modelling study was conducted to examine the model skill and the processes governing the initial morphological response of the Sand Engine and the adjacent coastline. But neither the skill of current state-of-the-art models for such predictions nor the primary drivers that control the evolution are known.
Journal ArticleDOI

Quantifying Economic Value of Coastal Ecosystem Services : A Review

TL;DR: In this article, the authors present a review on the valuation of coastal ecosystem services (CES), which systematically describes fundamental concepts, analyzes reported applications, and addresses the issue of climate change impacts on the monetary value of CES.
Journal ArticleDOI

Comparison of empirical statistical methods for downscaling daily climate projections from CMIP5 GCMs: a case study of the Huai River Basin, China

TL;DR: In this article, empirical statistical downscaling methods are classified based on calibration strategies [bias correction (BC) and change factor (CF)] and statistical transformations (mean based, variance based, quantile mapping and quantile correcting and transfer function methods).