Affiliations 

  • 1 Faculty of Environmental Studies, Department of Environmental Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Malaysia
  • 2 Faculty of Environmental Studies, Department of Environmental Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Malaysia. Electronic address: Zaharin@upm.edu.my
  • 3 Hydrogeology Research Centre, National Hydraulic Research Institute of Malaysia, 43300 Seri Kembangan, Malaysia
  • 4 Soil Physics and Land Management Group, Wageningen University, Droevendaalsesteeg 4, 6708PB Wageningen, The Netherlands; Civil, Surveying and Environmental Engineering, the University of Newcastle, Callaghan 2308, Australia
Sci Total Environ, 2017 Dec 01;599-600:844-853.
PMID: 28501010 DOI: 10.1016/j.scitotenv.2017.04.171

Abstract

The conversions of forests and grass land to urban and farmland has exerted significant changes on terrestrial ecosystems. However, quantifying how these changes can affect the quality of water resources is still a challenge for hydrologists. Nitrate concentrations can be applied as an indicator to trace the link between land use changes and groundwater quality due to their solubility and easy transport from their source to the groundwater. In this study, 25year records (from 1989 to 2014) of nitrate concentrations are applied to show the impact of land use changes on the quality of groundwater in Northern Kelantan, Malaysia, where large scale deforestation in recent decades has occurred. The results from the integration of time series analysis and geospatial modelling revealed that nitrate (NO3-N) concentrations significantly increased with approximately 8.1% and 3.89% annually in agricultural and residential wells, respectively, over 25years. In 1989 only 1% of the total area had a nitrate value greater than 10mg/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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.