Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): development and evaluation

Abstract

Abstract. Thermal emissions – or anthropogenic heat fluxes (QF) – from human activities impact urban climates at a local and larger scale. DASH considers both urban form and function in simulating QF through the use of an agent-based structure that includes behavioural characteristics of urban residents. This allows human activities to drive the calculation of QF, incorporating dynamic responses to environmental conditions. The spatial resolution of simulations depends on data availability. DASH has simple transport and building energy models to allow simulation of dynamic vehicle use, occupancy and heating–cooling demand, and release of energy to the outdoor environment through the building fabric. Building stock variations are captured using archetypes. Evaluation of DASH in Greater London for periods in 2015 uses a top-down inventory model (GQF) and national energy consumption statistics. DASH reproduces the expected spatial and temporal patterns of QF, but the annual average is smaller than published energy data. Overall, the model generally performs well, including for domestic appliance energy use. DASH could be coupled to an urban land surface model and/or used offline for developing coefficients for simpler/faster models.

Spatial and Temporal Variation of Anthropogenic Heat Emissions in Colombo, Sri Lanka

“…The metabolism varies diurnally (t h,{wd,we} ) by type of day as large behavioural changes occur between work (wd) and non-workdays (we) (e.g. Kotthaus and Grimmond, 2012;Capel-Timms et al, 2020). On workdays people need to commute to and from work, before and after their work period, whereas at night people tend to be asleep.…”

Anthropogenic Pressures on Gorillas: A Case of Grauer’s Gorillas in Maiko National Park, the Democratic Republic of Congo

“…At the same time, anthropogenic activities increase the chances for human-wildlife interaction [1,2]. Anthropogenic pressure involves human activities such as farming, overgrazing, mining, bush burning, hunting, poaching, and timber harvest that impact the environment [3]. Habitat disturbance and modification are among the main threats to the wildlife population in tropical forests [4,5].…”

Exploring the link between socio-economic and physical structure in cities to inform heat adaptation options: the case of Stuttgart

“…Admittedly, adaptation to the effects of climate change is representing key principles and simultaneously challenges for spatial planning. Among diverse climate-related hazards, heat stress is exacerbated by the globally rising temperatures and also affected by the local climate, physical and socio-economic factors; this can pose a significant risk to human health and affect daily activitiesBesides the physical and spatial factors such as land-use, building height and density [1][2][3], a number of studies have been dedicated to the importance of socioeconomic factors in forming urban structures and their contribution to intensifying the urban heat-related effects in European countries and worldwide [1,[4][5][6][7]. Some examples of these factors that increase human susceptibility to heat include age [8][9][10], existing health issues [11][12][13] and income level [14] [15].…”