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Quantifying changes in water use and groundwater availability in Beijing: Supporting data for Hyndman et al. 2017


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Resource type: Composite Resource
Storage: The size of this resource is 248.6 MB
Created: Aug 18, 2017 at 5:54 a.m.
Last updated: Dec 07, 2017 at 2:52 a.m.
DOI: 10.4211/hs.cd33693989f446a28b989eeca4c71654
Citation: See how to cite this resource
Content types: Geographic Raster Content 
Sharing Status: Published
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Abstract

Preferred citation:
Hyndman, DW, T Xu, JM Deines, G Cao, R Nagelkirk, A Vina, W McConnell, B Basso, A Kendall, S Li, L Luo, F Lupi, D Ma, JA Winkler, W Yang, C Zheng, and J Liu. 2017. Quantifying changes in water use and groundwater availability in a megacity using novel integrated systems modeling. Geophysical Research Letters, 44. DOI: 10.1002/2017GL074429

We developed a new systems modeling framework to quantify the influence of changes in land use, crop growth, and urbanization on groundwater storage for Beijing, China. This framework was then used to understand and quantify causes of observed decreases in groundwater storage from 1993 to 2006, revealing that the expansion of Beijing'’s urban areas at the expense of croplands has enhanced recharge while reducing water lost to evapotranspiration, partially ameliorating groundwater declines. Please see Hyndman et al. 2017 for full details.

This repository contains assembled model input data not easily acquired through cited sources, model-subcomponent output such as annual land use rasters, and the MODFLOW groundwater model files which integrates these subcomponents.

Groundwater Model and Data
The MODFLOW groundwater model files and associated data can be found in the "Groundwater Model Files" folder. This includes well observation data, input recharge data, as well as data stored within the groundwater model such as pumping data and aquifer top and bottom. See the readme.txt within the folder and Hyndman et al. 2017 for additional detail.

Annual Land Use Rasters
The "Annual land use rasters" folder contains annually modeled land use. The key for land use codes is in LandUse_codeKey.csv. For methods, see Hyndman et al. 2017.

Contact: David Hyndman, hyndman@msu.edu

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Beijing
North Latitude
40.4759°
East Longitude
117.2516°
South Latitude
39.4973°
West Longitude
115.8477°

Temporal

Start Date:
End Date:

Content

How to Cite

Hyndman, D., J. Deines, T. Xu, G. Cao, R. Nagelkirk, A. Vina, W. McConnell, B. Basso, S. Li, A. Kendall, L. Luo, F. Lupi, D. Ma, J. Winkler, W. Yang, C. Zheng, J. Liu (2017). Quantifying changes in water use and groundwater availability in Beijing: Supporting data for Hyndman et al. 2017, HydroShare, https://doi.org/10.4211/hs.cd33693989f446a28b989eeca4c71654

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

David William Hyndman 2 years, 3 months ago

If you use or refer to any data or models in this resource please cite:
Hyndman, DW, T Xu, JM Deines, G Cao, R Nagelkirk, A Vina, W McConnell, B Basso, A Kendall, S Li, L Luo, F Lupi, D Ma, JA Winkler, W Yang, C Zheng, and J Liu. 2017. Quantifying changes in water use and groundwater availability in a megacity using novel integrated systems modeling. Geophysical Research Letters, 44. DOI: 10.1002/2017GL074429

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