Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maryam Alavi-Shoshtari"'
Publikováno v:
Science of The Total Environment. :112-119
Land use regression (LUR) analysis has become a key method to explain air pollutant concentrations at unmeasured sites at city or country scales, but little is known about the applicability of LUR at microscales. We present a microscale LUR model dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8179b21324dc502e9bb9580bd254f17d
https://doi.org/10.1016/j.scitotenv.2017.11.028
https://doi.org/10.1016/j.scitotenv.2017.11.028
Autor:
Ciprian Doru Giurcaneanu, Lena Weissert, David E. Williams, Georgia Miskell, Jennifer Salmond, Maryam Alavi-Shoshtari
Publikováno v:
Environmental Modelling & Software. 101:34-50
Recent improvements in low-cost air quality instrumentation make deployment of dense networks of sensors possible. However, the shear volume of data from these networks means that traditional methods for data quality control and data analysis are no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13e2222f27b0ff77540c6764650b219f
https://doi.org/10.1016/j.envsoft.2017.12.002
https://doi.org/10.1016/j.envsoft.2017.12.002
Autor:
Lena Weissert, Jennifer Salmond, Stuart K. Grange, David E. Williams, Maryam Alavi-Shoshtari, Geoffrey Stephen Henshaw, Georgia Miskell
Publikováno v:
Science of The Total Environment. 575:67-78
Ozone (O 3 ) concentrations in urban areas are spatially and temporally variable, influenced by chemical production, depletion through deposition and chemical titration processes and dispersion. To date, analysis of intra-urban variability of O 3 con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::578db66cf0fca51363ee30760f83c8d7
https://doi.org/10.1016/j.scitotenv.2016.09.229
https://doi.org/10.1016/j.scitotenv.2016.09.229
Publikováno v:
Natural Hazards Review. 19
The resilience of communities to earthquakes is a function of the performance of infrastructure and, specifically, water supply systems in the aftermath of the disaster and their serviceabi...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdfc8d4af9229bd42e128ad6fc2cd8b0
https://doi.org/10.1061/(asce)nh.1527-6996.0000292
https://doi.org/10.1061/(asce)nh.1527-6996.0000292
Autor:
Jennifer Salmond, M. Bart, Ian G. McKendry, Stuart K. Grange, Bruce Ainslie, David E. Williams, Geoff S. Henshaw, Georgia Miskell, Maryam Alavi-Shoshtari
Publikováno v:
Environmental Science & Technology. 50:835-846
Aiming at minimizing the costs, both of capital expenditure and maintenance, of an extensive air-quality measurement network, we present simple statistical methods that do not require extensive training data sets for automated real-time verification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::684cc8ad983e8f2ea4445ae42fef8043
https://doi.org/10.1021/acs.est.5b04421
https://doi.org/10.1021/acs.est.5b04421
Publikováno v:
International Journal of Disaster Risk Reduction. 37:101187
The supply of water following disasters has always been of significant concern within communities. Although water systems encompass physical components, a variety of social, economic, and organizational factors can affect their resilience to disaster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1de2f17641564aef73464eb053954421
https://doi.org/10.1016/j.ijdrr.2019.101187
https://doi.org/10.1016/j.ijdrr.2019.101187
Publikováno v:
Environmetrics. 24:227-236
Due to the increasing availability of sensors of moderate cost, large scale sensor networks are currently considered for different tasks. One of these is the monitoring of air quality with several, possibly hundreds of sensors that may cover an exten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f94b17033f1dea3a39adf6735467c80a
https://doi.org/10.1002/env.2206
https://doi.org/10.1002/env.2206
Autor:
Ian G. McKendry, Stuart K. Grange, Bruce Ainslie, David E. Williams, M. Bart, Geoff S. Henshaw, Maryam Alavi-Shoshtari, Jennifer Salmond, Douw G. Steyn
Publikováno v:
Environmental sciencetechnology. 48(7)
A cost-efficient technology for accurate surface ozone monitoring using gas-sensitive semiconducting oxide (GSS) technology, solar power, and automated cell-phone communications was deployed and validated in a 50 sensor test-bed in the Lower Fraser V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73cb532548bdfd5b58aca08f5889f169
https://pubmed.ncbi.nlm.nih.gov/24579930
https://pubmed.ncbi.nlm.nih.gov/24579930