Comparing cost-effectiveness of surface water flood management interventions in a UK catchment

This is the final published version. Available from Wiley via the DOI in this record.Despite significant consequences caused by recent events, surface water flooding has historically been of lower priority relative to fluvial and coastal risks in UK flood management. Legislation and research proposes a variety of innovative interventions to address this; however, widespread application of these remains a challenge due to a number of institutional, economic, and technical barriers. This research applies a framework capable of fast and high-resolution assessment of intervention cost-effectiveness as an opportunity to improve available evidence and encourage uptake of interventions through analysing permutations of type, scale, and distribution in urban catchments. Fast assessment of many scenarios is achieved using a cellular automata flood model and a simplified representation of interventions. Conventional and green strategies are examined across a range of design standard and high-magnitude rainfall events in an urban catchment. Results indicate high-volume rainwater capture interventions demonstrate a significant reduction in estimated annual damage costs, and localised surface water drainage interventions exhibit high cost-effectiveness for damage reduction. Analysis of performance across a wide range of return periods enhances available evidence for option comparison decision support and provides a basis for future resilience assessment of interventions.Engineering and Physical Sciences Research Council (EPSRC

Smartline Environmental Sensor Data and Utility Usage, 2017–2023

The Smartline sensor datasets include utility usage (Gas, Water, Electricity), indoors environmental parameters (Temperature, Humidity, TVOC - Total Volatile Organic Compounds, eCO2 - Estimated Carbon Dioxide, P.M2.5 - Airborne Particulate Matter More than 300 households were recruited in 2017 to take part in the Smartline project to provide data on health, wellbeing, community, indoor environment and utility usages. The overarching aim of the project was to explore and trial opportunities for technology to support people to live healthier and happier lives in their homes and communities. 329 households completed survey questionnaires and 279 opted to have sensors installed. The network of sensors, from which the accompanying data derive, provide opportunities to gain insight in to existing utility usage and environmental conditions in homes. Surveys of participating households were undertaken at several points in the project and linked to sensor data, enabling better exploration of the everyday human lives behind the sensor data. Many of the sensors have recorded data spanning more than 5 years, capturing regular patterns resulting from participants daily routines, seasonal climatic variation, and local weather activity. Unexpected events such as the Covid-19 pandemic, cost of living crisis, and a record summer heatwave all fall within the timeframe of the sensor data.</p

Cognitive Function and Ageing Study - Wales: Waves 1-2, 2011-2016

Abstract copyright UK Data Service and data collection copyright owner.The Cognitive Function and Ageing Study - Wales (CFAS-Wales) is a longitudinal study looking at health and cognitive function in older people living in Wales, building on the design and infrastructure of the successful Cognitive Function and Ageing Study collaboration (CFAS). Recruitment for CFAS Wales began in 2011 with the follow up wave (2 years after initial interview) being completed in early 2016.This study provides data complementing that from an earlier survey conducted in the mid 1990s (CFAS-I), and is closely linked to the MRC-CFAS II project based in three sites in England. MRC CFAS I (1989–2011) included six centres across England and Wales - Cambridgeshire, Gwynedd, Newcastle, Nottingham, Oxford and Liverpool. CFAS II (2008 onwards) included three centres in England - Cambridgeshire, Newcastle and Nottingham. Both studies are available from the Cognitive Function and Ageing Study website. Information about CFAS-Wales is available from the CFAS-Wales webpages and the CFAS-Wales Bangor University website Following on from CFAS-I, the present study established a new cohort of 3,500 older people (aged 65+) enabling an evaluation of changes that have occurred over the last 15 years in lifestyle, including exercise and activities, and people's expectations of ageing, services and families, to be conducted. At wave 2, 2,237 people were re-interviewed. The initial sample was drawn at random from GP lists in the participating areas, with equal numbers from those aged 65-75 and those over 75. People living in care homes were included in the sample. Participants were interviewed in English or Welsh, according to their preference. The aims of CFAS Wales were broad and include examinations of activity and participation, social networks and social resources, health and cognitive function, cognitive reserve and lifestyle factors, resilience and adaptation and environmental influences. The standard CFAS interview has been augmented for CFAS Wales with additional measures relating to loneliness, life satisfaction, resilience, use of Welsh (and other) language(s), and (at wave 2) personality, social cohesion, financial resources and access to services. The interview at each wave includes the CAMCOG cognitive tests, and allows the AGECAT diagnostic algorithms to be run, for dementia, depression and anxiety disorders. Main Topics:Ageing and: health; cognitive function; cognitive reserve; social networks; resilience; nutrition; physical activity; bilingualism

Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain (CAMELS-GB)

This dataset provides hydro-meteorological timeseries and landscape attributes for 671 catchments across Great Britain. It collates river flows, catchment attributes and catchment boundaries from the UK National River Flow Archive together with a suite of new meteorological timeseries and catchment attributes. Daily timeseries for the time period 1st October 1970 to the 30th September 2015 are provided for a range of hydro-meteorological data (including rainfall, potential evapotranspiration, temperature, radiation, humidity and flow). A comprehensive set of catchment attributes are quantified describing a range of catchment characteristics including topography, climate, hydrology, land cover, soils, hydrogeology, human influences and discharge uncertainty. This dataset is intended for the community as a freely available, easily accessible dataset to use in a wide range of environmental data and modelling analyses. A research paper (Coxon et al, CAMELS-GB: Hydrometeorological time series and landscape attributes for 671 catchments in Great Britain) describing the dataset in detail will be made available in Earth System Science Data (https://www.earth-system-science-data.net/)

Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain (CAMELS-GB)

This dataset provides hydro-meteorological timeseries and landscape attributes for 671 catchments across Great Britain. It collates river flows, catchment attributes and catchment boundaries from the UK National River Flow Archive together with a suite of new meteorological timeseries and catchment attributes. Daily timeseries for the time period 1st October 1970 to the 30th September 2015 are provided for a range of hydro-meteorological data (including rainfall, potential evapotranspiration, temperature, radiation, humidity and flow). A comprehensive set of catchment attributes are quantified describing a range of catchment characteristics including topography, climate, hydrology, land cover, soils, hydrogeology, human influences and discharge uncertainty. This dataset is intended for the community as a freely available, easily accessible dataset to use in a wide range of environmental data and modelling analyses. A research paper (Coxon et al, CAMELS-GB: Hydrometeorological time series and landscape attributes for 671 catchments in Great Britain) describing the dataset in detail will be made available in Earth System Science Data (https://www.earth-system-science-data.net/)

Surface Ocean CO2 Atlas (SOCAT) V6

The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (>100 contributors). SOCAT version 6 has 23.4 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2017 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT represents a milestone in biogeochemical and climate research and in informing policy. 424 datasets Version 5: https://doi.pangaea.de/10.1594/PANGAEA.877863 Version 4: https://doi.pangaea.de/10.1594/PANGAEA.866856 Version 3: https://doi.pangaea.de/10.1594/PANGAEA.849770 Version 2: https://doi.org/10.1594/PANGAEA.81515