Data & Code
Code
SWMM-LID-GW: supporting code for Zhang et al. (2018, JH), which is a modified Storm Water Model (SWMM) that enables considering groundwater table depth in the simulation of low-impact development (LID).
Data-driven sparse sensing: supporting code for Zhang et al. (2023, WRR), which is a series of script that enables 1) identifying the optimal timings for streamflow measurements and 2) predicting streamflow time-series with temporally-sparse measurements.
DATA
Sanitary sewer flow in Milwaukee 2014-2019 (collected from MMSD, 2020)
Stream flow and concentration data in Midwest 2015-2021 (collected from USGS, 2022)Â
Stream flow data across the CONUS 1981-2010 (collected from CAMELS dataset, 2022)
MAILING ADDRESS
MAILING ADDRESS
Kun Zhang
Kun Zhang
258 Swenson Civil Engineering (SCiv)
258 Swenson Civil Engineering (SCiv)
1405 University Dr, Duluth, MN 55812