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| Type: | Resource | |
| Storage: | The size of this resource is 4.2 MB | |
| Created: | Mar 11, 2024 at 10:11 a.m. | |
| Last updated: | Mar 19, 2024 at 3:39 p.m. | |
| DOI: | 10.4211/hs.fa6840cb376f4311af2bb5f52724ce7c | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content Geographic Feature Content |
| Sharing Status: | Published |
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| Views: | 58 |
| Downloads: | 0 |
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Abstract
This resource includes the dataset and Matlab code corresponding to the manuscript titled "An Imputation Method for Simulating 3D Well Screen Locations from Limited Regional Well Log Data".
Subject Keywords
Coverage
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Content
Readme.md
Overview
This repository contains the data, code and links to material related to our GWAT-2023-03-0054 paper.
Dataset
The data set that was used in our paper contains the Irrigation and public supply wells. The well data used in the study were accessed in 2018. The spreadsheet CVwellData.csv contains the following fields:
- WCRNumber: Well completion Report identification number
- lat: Latitude in WGS 84
- lon: Longitude in WGS 84
- top: Distance between Ground surface and top of the well perforation [ft]
- bot: Distance between Ground surface and bottom of the well perforation [ft]
- depth: Total Drilled depth [ft]
- Q: Well yield [gpm]
- type: Type of well. Only Agricultural or public supply are included
- Year: THe year that the well was constructed
- MethodofDeterminationLL: How accurate the coordinates are. if the value is
Derived from TRSthen the accuracy is half mile
Script
The code is written in matlab. The script Well_Imputation.mlx contains an example on how to pre process the data, how to calculate the empirical Probability Distribution Functions using Radial Basis functions and how to use the PDFs to impute the missing data. This is a live script and to access it Matlab. Neverthelss we provide a view of the script in the following link Well_Imputation.mlx.
In the script we use the function VWGA_calc_2D_PDF which is part of our gwtools repository.
## Spatial data Central Valley is split into 21 water balance subregions. We apply the imputation algorithm for each of the 21 subregions separately. Inside the folder Subregions we provide the shapefile that we use to split CV into the subregions
Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| California State Water Resources Control Board | 19-051-250 | |
| USDA NRCS | NR183A750023C005 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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