Statistics for Assessing variability and uncertainty in green infrastructure planning using a high-resolution surface-subsurface hydrological model and site-monitored flow data
Total visits
| views | |
|---|---|
| Assessing variability and uncertainty in green infrastructure planning using a high-resolution surface-subsurface hydrological model and site-monitored flow data | 205 |
Total visits per month
| views | |
|---|---|
| May 2024 | 0 |
| June 2024 | 0 |
| July 2024 | 0 |
| August 2024 | 0 |
| September 2024 | 0 |
| October 2024 | 0 |
| November 2024 | 0 |
File Visits
| views | |
|---|---|
| Lim and Welty - 2018 - Assessing Variability and Uncertainty in Green Inf.pdf | 72 |
Top country views
| views | |
|---|---|
| United States | 182 |
| Sweden | 5 |
| China | 4 |
| France | 3 |
| Ireland | 2 |
| Russia | 2 |
| Canada | 1 |
| Germany | 1 |
| United Kingdom | 1 |
| India | 1 |
| Latvia | 1 |
| Malaysia | 1 |
| Norway | 1 |
Top city views
| views | |
|---|---|
| Reston | 154 |
| Ashburn | 6 |
| Umeå | 5 |
| Christiansburg | 4 |
| Castro Valley | 2 |
| Dublin | 2 |
| New Orleans | 2 |
| Shchelkovo | 2 |
| Andover | 1 |
| Bengaluru | 1 |
| Boardman | 1 |
| Des Moines | 1 |
| Hamar | 1 |
| New York | 1 |
| Petaling Jaya | 1 |
| Portland | 1 |
| Riga | 1 |
| Shenzhen | 1 |
| Tianjin | 1 |
| Xinxiang | 1 |
| Zhengzhou | 1 |