python-sa-gwdata

sa_gwdata is a Python package to ease access to groundwater data in South Australia. It provides access to JSON data from the WaterConnect Groundwater Data website, and also provides some well data from SARIG. There are simple methods to easily turn this data into pandas DataFrames.

This is an unofficial hobby project of mine. Use at your own risk... or perhaps reward? :-)

Install

> pip install python-sa-gwdata

How to use

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

Start a web session with Groundwater Data:

>>> import sa_gwdata
>>> 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

Get water levels:

>>> wl = session.get("GetWaterLevelDetails", params={"DHNO": 188444}).df
>>> wl.head(5)
	anomalous_ind	data_source_code	measured_during	obs_date	pumping_ind	rswl	standing_water_level
0	N	DEWNR	D	2002-01-28	N	-8.12	15.08
1	N	DEWNR	M	2002-03-06	N	-12.50	19.46
2	N	DEWNR	M	2002-10-02	N	-3.43	10.39
3	N	DEWNR	M	2003-03-04	N	-11.69	18.65
4	N	DEWNR	M	2003-09-27	N	-1.93	8.89