Surface water groundwater interactions of stream reaches in the Murray Darling Basin within the network of the AWRA R river systems model
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https://researchdata.edu.au/surface-water-groundwater-systems-model/1969370
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This dataset contains a classification of the stream reaches in the Murray Darling Basin by their proportion of bores predicting losing or gaining conditions within the network of the AWRA-R river systems model. The classification is applied on an annual basis from 1/6/1970 to 31/5/2019 (49 years). The dataset was created for the purpose of identifying which reaches are potentially losing stream water to groundwater and how these conditions have changed through time. \n\nThe dataset contains a figure displaying a summary of the data (summary since 2000.png), a shapefile containing the results of the summary (SW-GW_int_summary_2000_2019.shp) and a csv file for each year with the number and proportion of bores predicting losing and gaining conditions (MDB_gain_lose_YYYY_YYYY.csv). \n\nThe csv files contain a field with the reach name (ID_updated) that can be used to link to the shapefile for viewing the data. There are columns for the number of bores predicting losing conditions (no_losing), gaining conditions (no_gaining) and those where the measurements were too close to classify (no_unsure). There is also a column for the total number of bores with water level observations within that reach for that year (cnt). The number of bores predicting a condition is also normalised as a proportion of the total number of bores within the reach (p_losing, p_unsure, and p_gaining).\n\nThe shapefile contains the river network from the AWRA-R river model, the reaches within this model are identified by ID_updated and Reach_ID. The downstream gauge for each reach is identified by the fields for the gauge ID (GaugeID) and gauge name (GaugeName). The data within the shapefile is a summary of the proportion losing conditions for the 19 years from 2000/2001 to 2018/2019. Each reach is summarised by the mean proportion (p) of bores predicting losing conditions: Always losing (p = 1), mostly losing (0.67
提供机构:
Commonwealth Scientific and Industrial Research Organisation



