A scenario-based approach for urban water management in the context of the COVID-19 pandemic and a case study for the Tabriz metropolitan area, Iran

Feizizadeh, Bakhtiar; Omarzadeh, Davoud; Ronagh, Zahra; Sharifi, Ayyoob; Blaschke, Thomas; Lakes, Tobia

doi:10.1016/j.scitotenv.2021.148272

Cited by 51 publications

(24 citation statements)

References 62 publications

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“…Haghnazar et al ( 2022 ) showed that the contribution of both municipal wastewater and weathering in water pollution of Zarjoub river located in north of Iran increased from 23 to 50% during the COVID-19 pandemic lockdown. In other study Feizizadeh et al ( 2021 ) showed that the domestic water use in Tabriz increased up to 17.57% during the year 2020 with the maximum increasing in lockdown period in spring 2020 (April-June).…”

Section: Discussionmentioning

confidence: 90%

Satellite-Based Monitoring of the Algal Communities of Aras Dam Reservoir: Meteorological Dependence Analysis and the Footprint of COVID-19 Pandemic Lockdown on the Eutrophication Status

et al. 2022

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Aras Dam Lake is a strategic aquatic ecosystem in Iran and there are reports of toxic phytoplankton blooms in this reservoir. This study was performed to determine the effect of meteorological variables on the formation and expansion of toxic phytoplankton communities in Aras dam reservoir. The data of this project have been obtained using field studies and satellite data (MODIS and Sentinel-2). Sampling to determine the composition of phytoplankton communities in the area was carried out seasonally in two time periods from 2003 to 2014, and environmental assessments were also performed based on meteorological and satellite data over an 18-year period (2003–2020). The Chlorophyll-a content was obtained from MODIS and correlated with meteorological data. The statistical analysis showed that the highest coefficient of determination is related to the correlation of chlorophyll-a and Evaporation ( R 2 = 0.86). Also, the relative root mean square error is equal to 18%, 18.1% and 21.2% for the chlorophyll-a -SST, chlorophyll-a -wind and chlorophyll-a -Evaporation relations, respectively. Moreover, in a supplementary study, correlation between the chlorophyll-a content with selected meteorological variables including evaporation, wind speed and water surface temperature were investigated seasonally. The results showed that the trend of changes in chlorophyll-a content with three considered variables are parabolic functions and chlorophyll-a -Evp ( R 2 = 0.86, MAPE = 15.2%) model indicates better performance. The results also showed that the eutrophication rate of the reservoir during lockdown period increased in comparison with the same time at pre-pandemic period, which can be related to increase of incoming waste loads in this reservoir. Graphical Abstract

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Section: Discussionmentioning

confidence: 90%

Satellite-Based Monitoring of the Algal Communities of Aras Dam Reservoir: Meteorological Dependence Analysis and the Footprint of COVID-19 Pandemic Lockdown on the Eutrophication Status

et al. 2022

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“…The more frequent bathing and regular disinfecting spray are also part of the pandemic life. Naturally, this new habit demands additional domestic water required as confirmed by various studies [13,14].…”

Section: Introductionmentioning

confidence: 95%

The Impact of Covid-19 to Domestic Water Usage and Rainwater Harvesting at an Office Building in Jakarta

Kurniawan

Sutandi

Liucius

et al. 2022

Civil and Environmental Engineering

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COVID-19 transforms many social fabric and people adopt new lifestyle due to the pandemic. It compels people to regularly wash their hands which lead to increasing water demand. The research on an office building in Central Jakarta, Indonesia, during 2018 - 2020 indicates 31.23 % increase in water demand per capita per day. The pandemic also reduces the effectiveness of the building’s rainwater harvesting (RWH) system because people require more water while its RWH remains unchanged. Note that the last sentence cannot be applied universally or in absolute manner due to the variability of annual rainfall and the difference in buildings’ characteristics.

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“…Since early 2020, the city has been hit by multiple waves of the epidemic, with significant social and economic consequences [26]. According to the Iranian Ministry of Health and Medical Education [33], since the early days of the pandemic, Tabriz has always been a major high-risk city.…”

Section: Study Areamentioning

confidence: 99%

A GIS-Based Spatiotemporal Modelling of Urban Traffic Accidents in Tabriz City during the COVID-19 Pandemic

et al. 2022

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The main aim of the present study was to investigate the spatiotemporal trends of urban traffic accident hotspots during the COVID-19 pandemic. The severity index was used to determine high-risk areas, and the kernel density estimation method was used to identify risk of traffic accident hotspots. Accident data for the time period of April 2018 to November 2020 were obtained from the traffic police of Tabriz (Iran) and analyzed using GIS spatial and network analysis procedures. To evaluate the impacts of COVID-19, we used the seasonal variation in car accidents to analyze the change in the total number or urban traffic accidents. Eventually, the sustainability of urban transport was analyzed based on the demographic and land use data to identify the areas with a high number of accidents and its respective impacts for the local residences. Based on the results, the lockdown measures in response to the pandemic have led to significant reductions in road traffic accidents. From the perspective of urban planning, the spatiotemporal urban traffic accident analysis indicated that areas with high numbers of elderly people and children were most affected by car accidents. As we identified the hotspots of urban traffic accidents and evaluated their spatiotemporal correlation with land use and demography characteristics, we conclude that the results of this study can be used by urban managers and support decision making to improve the situation, so that fewer accidents will happen in the future.

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A scenario-based approach for urban water management in the context of the COVID-19 pandemic and a case study for the Tabriz metropolitan area, Iran

Cited by 51 publications

References 62 publications

Satellite-Based Monitoring of the Algal Communities of Aras Dam Reservoir: Meteorological Dependence Analysis and the Footprint of COVID-19 Pandemic Lockdown on the Eutrophication Status

Satellite-Based Monitoring of the Algal Communities of Aras Dam Reservoir: Meteorological Dependence Analysis and the Footprint of COVID-19 Pandemic Lockdown on the Eutrophication Status

The Impact of Covid-19 to Domestic Water Usage and Rainwater Harvesting at an Office Building in Jakarta

A GIS-Based Spatiotemporal Modelling of Urban Traffic Accidents in Tabriz City during the COVID-19 Pandemic

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