This study uses a combination of basic data collection and on-site monitoring analysis to obtain the relevant data required for SWAT model construction. Data types can be divided into spatial data and surface observation data. Unlike previous studies, there is less agricultural land and larger urban land in the Licun River basin. Therefore, agricultural management data were not collected during data collection. The data and basic information required for SWAT model construction are shown in Table 2.
Data sources and basic information required for SWAT model construction
| Data type . | Name . | Source . | Description . |
|---|---|---|---|
| Spatial data | Basin topography | Geospatial Date Cloud | DEM raster data at 30 m resolution |
| Basin land types | Resource and Environment Science and Date Center | Vector data of 1 km × 1 km | |
| Basin soil type | Vector data of 1:1,000,000 | ||
| Surface observation data | Meteorological data | Qingdao Meteorological Bureau | Daily data for 2018–2021 |
| Point source data | Qingdao Municipal Bureau of Ecology and Environment | Daily data on water quantity and quality at replenishment sites from 2018–2021 | |
| Water quality data of control section | Monthly cross-sectional data of Shengli Bridge in 2020 and 2021 | ||
| Water data from hydrological stations | Qingdao Hydrographic Bureau | Daily data of Licun hydrological station from 2018 to 2021 | |
| Soil property data | Chinese soil database, SPAW software (Liu et al. (2009)) | Soil property database with updated models | |
| Property data of urban land type | On-site monitoring studies | Urban database with updated models |
| Data type . | Name . | Source . | Description . |
|---|---|---|---|
| Spatial data | Basin topography | Geospatial Date Cloud | DEM raster data at 30 m resolution |
| Basin land types | Resource and Environment Science and Date Center | Vector data of 1 km × 1 km | |
| Basin soil type | Vector data of 1:1,000,000 | ||
| Surface observation data | Meteorological data | Qingdao Meteorological Bureau | Daily data for 2018–2021 |
| Point source data | Qingdao Municipal Bureau of Ecology and Environment | Daily data on water quantity and quality at replenishment sites from 2018–2021 | |
| Water quality data of control section | Monthly cross-sectional data of Shengli Bridge in 2020 and 2021 | ||
| Water data from hydrological stations | Qingdao Hydrographic Bureau | Daily data of Licun hydrological station from 2018 to 2021 | |
| Soil property data | Chinese soil database, SPAW software (Liu et al. (2009)) | Soil property database with updated models | |
| Property data of urban land type | On-site monitoring studies | Urban database with updated models |