title: Probability-based nitrate contamination map of groundwater in Kinmen.
abstract: Groundwater supplies over 50% of drinking water in Kinmen. Approximately 16.8% of groundwater samples in Kinmen exceed the drinking water quality standard (DWQS) of NO3 (-)-N (10 mg/L). The residents drinking high nitrate-polluted groundwater pose a potential risk to health. To formulate effective water quality management plan and assure a safe drinking water in Kinmen, the detailed spatial distribution of nitrate-N in groundwater is a prerequisite. The aim of this study is to develop an efficient scheme for evaluating spatial distribution of nitrate-N in residential well water using logistic regression (LR) model. A probability-based nitrate-N contamination map in Kinmen is constructed. The LR model predicted the binary occurrence probability of groundwater nitrate-N concentrations exceeding DWQS by simple measurement variables as independent variables, including sampling season, soil type, water table depth, pH, EC, DO, and Eh. The analyzed results reveal that three statistically significant explanatory variables, soil type, pH, and EC, are selected for the forward stepwise LR analysis. The total ratio of correct classification reaches 92.7%. The highest probability of nitrate-N contamination map presents in the central zone, indicating that groundwater in the central zone should not be used for drinking purposes. Furthermore, a handy EC-pH-probability curve of nitrate-N exceeding the threshold of DWQS was developed. This curve can be used for preliminary screening of nitrate-N contamination in Kinmen groundwater. This study recommended that the local agency should implement the best management practice strategies to control nonpoint nitrogen sources and carry out a systematic monitoring of groundwater quality in residential wells of the high nitrate-N contamination zones.
authors.affiliation: Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan, 106, Republic of China, lcw@gwater.agec.ntu.edu.tw.
authors.forename: Chen-Wuing
authors.initials: CW
authors.lastname: Liu
authors.forename: Yeuh-Bin
authors.initials: YB
authors.lastname: Wang
authors.forename: Cheng-Shin
authors.initials: CS
authors.lastname: Jang
mesh_terms: D000383:Agriculture; D002681:China; D004784:Environmental Monitoring; D060587:Groundwater / Q000737:chemistry*; D009566:Nitrates / Q000032:analysis*; D011336:Probability; D012044:Regression Analysis; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data; D060753:Water Quality
chemical_list: D009566:Nitrates; D014874:Water Pollutants, Chemical
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