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openwashdata/boreholeforensicspumpingtest

Domaine:

environment and energy

Type de record:

dataset
Créateur:
ope
Hôte:
This dataset contains borehole forensic pumping test data, capturing key parameters related to groundwater extraction, borehole performance, and water quality assessments in Malawi. # Borehole Forensics 4 - Pumping Test 2018 - 2024 This dataset contains borehole forensic pumping test data, capturing key parameters related to groundwater extraction, borehole performance, and water quality assessments. It includes information on the test conditions, water levels, pumping rates, flow measurement methods, and water quality indicators such as pH, turbidity, and electrical conductivity. The dataset also documents permissions granted for testing, equipment used, and observations on borehole performance, such as whether the water level stabilized during pumping and whether the borehole passed the test. Potential Uses of the Dataset 1. Hydrogeological Analysis: Evaluating groundwater availability and borehole efficiency. 2. Environmental Studies: Assessing water quality parameters. 3. Infrastructure Planning: Supporting water resource management and borehole maintenance decisions. 4. Regulatory Compliance: Ensuring boreholes meet required operational standards. The data was collected by BASEFlow with funding from the Open Research Data Program of the ETH Board. ## Installation You can install the development version of boreholeforensicspumpingtest from GitHub with: ``` r # install.packages("devtools") devtools::install_github("openwashdata/boreholeforensicspumpingtest") ``` ``` r ## Run the following code in console if you don't have the packages ## install.packages(c("dplyr", "knitr", "readr", "stringr", "gt", "kableExtra")) library(dplyr) library(knitr) library(readr) library(stringr) library(gt) library(kableExtra) library(ggplot2) library(lubridate) ``` Alternatively, you can download the individual datasets as a CSV or XLSX file from the table below. 1. Click Download CSV. A window opens that displays the CSV in your browser. 2. Right-click anywhere inside the window and select “Save Page As…”. 3. Save the file in a folder of your choice. | dataset | CSV | XLSX | |:---|:---|:---| | boreholeforensicspumpingtest | Down …

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