https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Detecting and predicting the impact of land use changes on groundwater quality, a case study in Northern Kelantan, Malaysia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31423 3-N) concentrations significantly increased with approximately 8.1% and 3.89% annually in agricultural and residential wells, respectively, over 25 years. In 1989 only 1% of the total area had a nitrate value greater than 10 mg/L; and this value increased sharply to 48% by 2014. The significant increase in nitrate was only observed in a shallow aquifer with a 3.74% annual nitrate increase. Based on the result of the Autoregressive Integrated Moving Average (ARIMA) model the nitrate contamination is expected to continue to rise by about 2.64% and 3.9% annually until 2030 in agricultural and residential areas. The present study develops techniques for detecting and predicting the impact of land use changes on environmental parameters as an essential step in land and water resource management strategy development.]]> Thu 21 Oct 2021 12:51:15 AEDT ]]> Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35128 Fri 21 Jun 2019 12:52:57 AEST ]]>