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 William Hyndman Jillian M Deines|
|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. by Jillian M Deines|
|Citation:||See how to cite this resource|
|Content types:||Geographic Raster Content|
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, firstname.lastname@example.org
Resource Level Coverage
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
Please wait for the process to complete.