About Drought Handbook: Outputs & Impacts
As the UK’s £12m Drought and Water Scarcity (DWS) research programme reaches its conclusion with a final event at The Royal Society in London, this handbook draws together the key outputs and outcomes. The book also features a series of interviews with our leading stakeholders, which highlight how successfully we have met our objectives to produce cutting-edge science that has made a demonstrable impact on how decision-makers manage water scarcity in the UK.
As the UK’s £12m Drought and Water Scarcity (DWS) research programme reaches its conclusion with a final event at The Royal Society in London, this handbook draws together the key outputs and outcomes. The book also features a series of interviews with our leading stakeholders, which highlight how successfully we have met our objectives to produce cutting-edge science that has made a demonstrable impact on how decision-makers manage water scarcity in the UK.
- No tags were found...
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
MaRIUS:<br />
PUBLICATIONS<br />
Qadrdan M. et. al., (2019) Electricity Systems Capacity<br />
Expansion Under Cooling Water availability Constraints.<br />
IET Energy Systems Integration.<br />
http://dx.doi.org/10.1049/iet-esi.2018.0024<br />
Rahman M. et. al., (2019) Towards a computationally efficient<br />
free-surface groundwater flow boundary condition for largescale<br />
hydrological modelling. Advances in Water Resources.<br />
http://dx.doi.org/10.1016/j.advwatres.2018.11.015<br />
Rey D. et. al., (2016) Modelling and mapping the economic<br />
value of supplemental irrigation in a humid climate.<br />
Agricultural Water Management.<br />
http://dx.doi.org/10.1016/j.agwat.2016.04.017<br />
Rey D. et. al., (2017) Developing drought resilience in<br />
irrigated agriculture in the face of increasing water scarcity.<br />
Regional Environmental Change.<br />
http://dx.doi.org/10.1007/s10113-017-1116-6<br />
Whitehead P. G., (2016) An INCA model for pathogens in<br />
rivers and catchments: Model structure, sensitivity analysis<br />
and application to the River Thames catchment, UK. The<br />
Science of the total environment.<br />
https://doi.org/10.1016/j.scitotenv.2016.01.128<br />
Policy Briefings/Reports<br />
Cook C., (2017) <strong>Drought</strong> planning in England: a primer.<br />
https://bit.ly/2nRWRI2<br />
Grecksch K., (2018) Governance of water scarcity and<br />
droughts. https://bit.ly/2medSMc<br />
Rey D. et. al., (2018) Assessing opportunities for secondary<br />
markets for water in response to proposed abstraction<br />
reforms: Key findings https://bit.ly/2EgWPl5<br />
Rio M. et. al., (2018) Evaluation of changing surface water<br />
abstraction reliability for supplemental irrigation under<br />
climate change. Agricultural Water Management.<br />
http://dx.doi.org/10.1016/j.agwat.2018.05.005<br />
Rudd A. et. al., (2017) National-scale analysis of simulated<br />
hydrological droughts (1891-2015). Journal of Hydrology.<br />
http://dx.doi.org/10.1016/j.jhydrol.2017.05.018<br />
Salmoral G. et. al., (2019) A Probabilistic Risk Assessment<br />
of the National Economic <strong>Impacts</strong> of Regulatory <strong>Drought</strong><br />
Management on Irrigated Agriculture. Earth’s Future.<br />
http://dx.doi.org/10.1029/2018EF001092<br />
Trnka M. et. al., (2018) Priority questions in multidisciplinary<br />
drought research. Climate Research.<br />
http://dx.doi.org/10.3354/cr01509<br />
Van Eerdenbrugh K. et. al., (2017) Consistency assessment<br />
of rating curve data in various locations using Bidirectional<br />
Reach (BReach). Hydrology and Earth System Sciences.<br />
http://dx.doi.org/10.5194/hess-21-5315-2017<br />
Van Loon A. et. al., (2016) <strong>Drought</strong> in the Anthropocene.<br />
Nature Geoscience. http://dx.doi.org/10.1038/ngeo2646<br />
Westerberg I. et. al., (2016) Uncertainty in hydrological<br />
signatures for gauged and ungauged catchments. Water<br />
Resources Research.<br />
http://dx.doi.org/10.1002/2015WR017635<br />
Whitehead P. et. al., (2015) Dynamic modelling of multiple<br />
phytoplankton groups in rivers with an application to the<br />
Thames river system in the UK. Environmental Modelling<br />
& Software.<br />
http://dx.doi.org/10.1016/j.envsoft.2015.09.010<br />
58
Change language