Quantifying changes in water use and groundwater availability in Beijing: Supporting data for Hyndman et al. 2017
|Authors:||David Hyndman · Tianfang Xu · Jillian Deines · Guoliang Cao · Ryan Nagelkirk · Andres Vina · William McConnell · Bruno Basso · Shuxin Li · Anthony Kendall · Lifeng Luo · Frank Lupi · Doncheng Ma · Julie Winkler · Wu Yang · Chunmiao Zheng · Jianguo Liu|
|Owners:||David Hyndman · Jillian Deines|
|DOI:||10.4211/hs.cd33693989f446a28b989eeca4c71654 How to Cite|
|Resource type:||Composite Resource|
|Created:||Aug 18, 2017 at 5:54 a.m.|
|Last updated:||Dec 07, 2017 at 2:52 a.m. by Jillian Deines|
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, email@example.com
Beijing,hydrology,crop model,land use,water use,groundwater,systems approach,water sustainability,recharge
How to cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Coordinate System/Geographic Projection:||WGS 84 EPSG:4326|
|Coordinate Units:||Decimal degrees|
|David Hyndman||Michigan State University|
|Tianfang Xu||Michigan State University|
|Jillian Deines||Michigan State University|
|Guoliang Cao||China Institute of Water Resources and Hydropower Research|
|Ryan Nagelkirk||Michigan State University|
|Andres Vina||Michigan State University|
|William McConnell||Michigan State University|
|Bruno Basso||Michigan State University|
|Shuxin Li||Michigan State University|
|Anthony Kendall||Michigan State University|
|Lifeng Luo||Michigan State University|
|Frank Lupi||Michigan State University|
|Doncheng Ma||Beijing Water Science and Technology Institute|
|Julie Winkler||Michigan State University|
|Wu Yang||Zhejiang University|
|Chunmiao Zheng||South University of Science and Technology of China|
|Jianguo Liu||Michigan State University|
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