python-sa-gwdata 0.10.0

Unofficial Python package to ease access to groundwater data in South Australia

python-sa-gwdata

Python code to get groundwater data for South Australia

This code provides the Python package sa_gwdata to make it easier to download and access groundwater data from the South Australian Department for Environment and Water's Groundwater Data website. It also provides some help for getting related data from the Department for Energy and Mining's South Australian Resources Information Gateway (SARIG) website.

This is an unofficial side-project done in my spare time.

How to use

Check out the complete package documentation, and some tutorial Jupyter Notebooks in the notebooks folder.

Define the wells you are interested in manually:

>>> import sa_gwdata
>>> wells = sa_gwdata.find_wells("5928-203", "ule 96")
>>> wells
["LKW042", "ULE096"]

(It has recognised automatically that 5928-203 is also known as LKW042).

Or search for wells by geographic area:

>>> wells = sa_gwdata.find_wells_in_lat_lon([-34.65, -34.62], [135.47, 135.51])

Then you can download data as pandas DataFrames:

>>> wls = sa_gwdata.water_levels(wells)
>>> tds = sa_gwdata.salinities(wells)
>>> dlogs = sa_gwdata.drillers_logs(wells)

There is also full access to the underlying set of web services which provide a variety of data in JSON format.

Start a session with Groundwater Data:

>>> session = sa_gwdata.WaterConnectSession()

On initialisation it downloads some summary information.

>>> session.networks
{'ANGBRM': 'Angas Bremer PWA',
 'AW_NP': 'Alinytjara Wilurara Non-Prescribed Area',
 'BAROOTA': 'Baroota PWRA',
 'BAROSSA': 'Barossa PWRA',
 'BAROSS_IRR': 'Barossa irrigation wells salinity monitoring',
 'BERI_REN': 'Berri and Renmark Irrigation Areas',
 'BOT_GDNS': 'Botanic Gardens wetlands',
 'CENT_ADEL': 'Central Adelaide PWA',
 'CHOWILLA': 'Chowilla Floodplain',
 ...
}

With this information we can make some direct REST calls:

>>> r = session.get("GetObswellNetworkData", params={"Network": "CENT_ADEL"})
>>> r.df.head(5)

	aq_mon	chem	class	dhno	drill_date	lat	latest_open_date	latest_open_depth	latest_sal_date	latest_swl_date	...	pwa	replaceunitnum	sal	salstatus	stat_desc	swl	swlstatus	tds	water	yield
0	Tomw(T2)	Y	WW	27382	1968-02-07	-34.764662	1992-02-20	225.00	2013-09-02	2018-09-18	...	Central Adelaide	NaN	Y	C	OPR	3.47	C	3620.0	Y	2.00
1	Qhcks	N	WW	27437	1963-01-01	-34.800905	1963-01-01	6.40	1984-02-01	1986-03-05	...	Central Adelaide	NaN	Y	H	NaN	5.86	H	1121.0	Y	NaN
2	Tomw(T1)	Y	WW	27443	1972-04-20	-34.811124	2014-04-01	0.00	1991-10-09	2003-07-04	...	Central Adelaide	NaN	Y	H	BKF	NaN	H	2030.0	Y	5.00
3	Tomw(T1)	Y	WW	27504	1978-02-28	-34.779893	1978-02-28	144.50	2016-04-06	2011-09-18	...	Central Adelaide	NaN	Y	H	OPR	11.21	H	2738.0	Y	0.00
4	Tomw(T1)	Y	WW	27569	1975-01-01	-34.891250	1975-07-09	131.10	1986-11-13	1988-09-21	...	Central Adelaide	NaN	Y	H	BKF	9.90	H	42070.0	Y	12.50

Install

You will need Python 3.6 or a more recent version.

$ pip install -U python-sa-gwdata

This installs the latest release of the Python package sa_gwdata.

To install the latest code from GitHub, make sure you the dependencies pandas and requests installed, then use:

$ pip install https://github.com/kinverarity1/python-sa-gwdata/archive/master.zip

License

MIT