Articles | Volume 25, issue 1
https://doi.org/10.5194/hess-25-387-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-387-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jan 2021
Research article |
| 26 Jan 2021
| 26 Jan 2021
Optimal water use strategies for mitigating high urban temperatures
Bin Liu
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
School of Software Engineering, Chengdu University of Information
Technology, Chengdu, China
University of Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Shuang Liu
Key Laboratory of Mountain Hazards and Earth Surface Processes,
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences,
Chengdu, China
Yujing Zeng
Program in Atmospheric and Oceanic Sciences, Princeton University,
Princeton, New Jersey, USA
Ruichao Li
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Longhuan Wang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Binghao Jia
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Peihua Qin
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Si Chen
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
Jinbo Xie
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
ChunXiang Shi
National Meteorological Information Center, China Meteorological
Administration, Beijing, China
Viewed
Total article views: 2,362 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jun 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,650 | 634 | 78 | 2,362 | 73 | 81 |
- HTML: 1,650
- PDF: 634
- XML: 78
- Total: 2,362
- BibTeX: 73
- EndNote: 81
Total article views: 1,735 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Jan 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,294 | 385 | 56 | 1,735 | 55 | 57 |
- HTML: 1,294
- PDF: 385
- XML: 56
- Total: 1,735
- BibTeX: 55
- EndNote: 57
Total article views: 627 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jun 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 356 | 249 | 22 | 627 | 18 | 24 |
- HTML: 356
- PDF: 249
- XML: 22
- Total: 627
- BibTeX: 18
- EndNote: 24
Viewed (geographical distribution)
Total article views: 2,362 (including HTML, PDF, and XML)
Thereof 2,161 with geography defined
and 201 with unknown origin.
Total article views: 1,735 (including HTML, PDF, and XML)
Thereof 1,610 with geography defined
and 125 with unknown origin.
Total article views: 627 (including HTML, PDF, and XML)
Thereof 551 with geography defined
and 76 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
5 citations as recorded by crossref.
- Urban irrigation reduces moist heat stress in Beijing, China S. Sun et al. 10.1038/s41612-024-00585-6
- Enhancing thermal conductivity of cement-based composites by optimizing pores and adding pitch-based carbon fibers for pavement cooling J. Wei et al. 10.1016/j.enbuild.2023.113388
- High‐Resolution Land Surface Modeling of the Effect of Long‐Term Urbanization on Hydrothermal Changes Over Beijing Metropolitan Area P. Ji et al. 10.1029/2021JD034787
- Assessing Impacts of Environmental Perturbations on Urban Biogenic Carbon Exchange in the Chicago Region P. Li et al. 10.1029/2023MS003867
- An urban module coupled with the Variable Infiltration Capacity model to improve hydrothermal simulations in urban systems Y. Wang et al. 10.5194/gmd-17-5803-2024
5 citations as recorded by crossref.
- Urban irrigation reduces moist heat stress in Beijing, China S. Sun et al. 10.1038/s41612-024-00585-6
- Enhancing thermal conductivity of cement-based composites by optimizing pores and adding pitch-based carbon fibers for pavement cooling J. Wei et al. 10.1016/j.enbuild.2023.113388
- High‐Resolution Land Surface Modeling of the Effect of Long‐Term Urbanization on Hydrothermal Changes Over Beijing Metropolitan Area P. Ji et al. 10.1029/2021JD034787
- Assessing Impacts of Environmental Perturbations on Urban Biogenic Carbon Exchange in the Chicago Region P. Li et al. 10.1029/2023MS003867
- An urban module coupled with the Variable Infiltration Capacity model to improve hydrothermal simulations in urban systems Y. Wang et al. 10.5194/gmd-17-5803-2024
Latest update: 03 Nov 2024
Short summary
We implemented both urban water use schemes in a model (Weather Research and Forecasting model) and assessed their cooling effects with different amounts of water in different parts of the city (center, suburbs, and rural areas) for both road sprinkling and urban irrigation by model simulation. Then, we developed an optimization scheme to find out the optimal water use strategies for mitigating high urban temperatures.
We implemented both urban water use schemes in a model (Weather Research and Forecasting model)...
