Study on an Online Detection Method for Ground Water Quality and Instrument Design

The online measurement of ground water quality, as one important area of water resource protection, can provide real-time measured water quality parameters and send out warning information in a timely manner when the water resource is polluted. Based on ultraviolet (UV) spectrophotometry, a remote online measurement method is proposed and used to measure the ground water quality parameters chemical oxygen demand (COD), total organic carbon (TOC), nitrate nitrogen (NO3–N), and turbidity (TURB). The principle of UV spectrophotometry and the data processing method are discussed in detail, the correlated mathematical modeling of COD and TOC is given, and a confirmatory experiment is carried out. Turbidity-compensated mathematical modeling is proposed to improve the COD measurement accuracy and a confirmatory experiment is finished with turbidity that ranges from 0 to 100 NTU (Nephelometric Turbidity Unit). The development of a measurement instrument to detect the ground water COD, TOC, NO3–N, and TURB is accomplished; the test experiments are completed according to the standard specification of China’s technical requirement for water quality online automatic monitoring of UV, and the absolute measuring errors of COD, TOC, and NO3–N are smaller than 5.0%, while that of TURB is smaller than 5.4%, which meets the requirements for the online measurement of ground water quality.

[1]  K H Ahn,et al.  Monitoring of COD as an organic indicator in waste water and treated effluent by fluorescence excitation-emission (FEEM) matrix characterization. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[2]  J. Müller,et al.  Chemical water quality in Thailand and its impacts on the drinking water production in Thailand. , 2005, The Science of the total environment.

[3]  Baisheng Chen,et al.  Development of variable pathlength UV-vis spectroscopy combined with partial-least-squares regression for wastewater chemical oxygen demand (COD) monitoring. , 2014, Talanta.

[4]  P. Selvaganapathy,et al.  A carbon nanotube based resettable sensor for measuring free chlorine in drinking water , 2014, IEEE SENSORS 2014 Proceedings.

[5]  I. Miettinen,et al.  On-line detection of Escherichia coli intrusion in a pilot-scale drinking water distribution system. , 2017, Journal of environmental management.

[6]  Yunlin Zhang,et al.  Absorption and fluorescence properties of chromophoric dissolved organic matter: implications for the monitoring of water quality in a large subtropical reservoir , 2014, Environmental Science and Pollution Research.

[7]  K. Schug,et al.  Vacuum ultraviolet detector for gas chromatography. , 2014, Analytical chemistry.

[8]  Xiaohan Liu,et al.  Long-Term Satellite Observations of Microcystin Concentrations in Lake Taihu during Cyanobacterial Bloom Periods. , 2015, Environmental science & technology.

[9]  D. Aguado,et al.  A voltammetric electronic tongue as tool for water quality monitoring in wastewater treatment plants. , 2012, Water research.

[10]  Y. Madrid,et al.  Simultaneous determination of the size and concentration of AgNPs in water samples by UV-vis spectrophotometry and chemometrics tools. , 2018, Talanta.

[11]  Tania Portolés,et al.  Advancing towards universal screening for organic pollutants in waters. , 2015, Journal of hazardous materials.

[12]  Dan Rosbjerg,et al.  Hydroeconomic optimization of reservoir management under downstream water quality constraints , 2015 .

[13]  N. Mantzafleri,et al.  Water Quality Monitoring and Modeling in Lake Kastoria, Using GIS. Assessment and Management of Pollution Sources , 2009 .

[14]  Julian F. Tyson,et al.  Atomic spectrometry update. Advances in atomic emission, absorption, and fluorescence spectrometry, and related techniques , 1991 .

[15]  Eldon R. Rene,et al.  PREDICTION OF WATER QUALITY INDICES BY REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS , 2008 .

[16]  Avi Ostfeld,et al.  A hybrid evolutionary data driven model for river water quality early warning. , 2014, Journal of environmental management.

[17]  Barak Fishbain,et al.  Water characterization and early contamination detection in highly varying stochastic background water, based on Machine Learning methodology for processing real-time UV-Spectrophotometry. , 2019, Water research.

[18]  T. Tsuchihara,et al.  Fluctuation of NO3-N in groundwater of the reservoir of the Sunagawa Subsurface Dam, Miyako Island, Japan , 2006, Paddy and Water Environment.

[19]  W. Ahmed,et al.  A Community Multi-Omics Approach towards the Assessment of Surface Water Quality in an Urban River System , 2017, International journal of environmental research and public health.

[20]  Paul J Worsfold,et al.  Nitrogen cycling in natural waters using in situ, reagentless UV spectrophotometry with simultaneous determination of nitrate and nitrite. , 2007, Environmental science & technology.

[21]  Kao-Hung Lin,et al.  Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. , 2003, The Science of the total environment.

[22]  K. Linden,et al.  Wavelength-Dependent Damage to Adenoviral Proteins Across the Germicidal UV Spectrum. , 2018, Environmental science & technology.

[23]  P. Ravi Selvaganapathy,et al.  Development of a low cost Hemin based dissolved oxygen sensor with anti-biofouling coating for water monitoring , 2013, 2013 IEEE SENSORS.

[24]  E. Ferreira,et al.  Quantitative monitoring of an activated sludge reactor using on-line UV-visible and near-infrared spectroscopy , 2009, Analytical and bioanalytical chemistry.

[25]  M. El-Fadel,et al.  Temporal variation of leachate quality from pre-sorted and baled municipal solid waste with high organic and moisture content. , 2002, Waste management.

[26]  M. Ersahin,et al.  A new approach for chemical oxygen demand (COD) measurement at high salinity and low organic matter samples , 2010, Environmental science and pollution research international.

[27]  Heejun Chang,et al.  Spatial analysis of water quality trends in the Han River basin, South Korea. , 2008, Water research.

[28]  Claudineia R. Silva,et al.  Determination of the chemical oxygen demand (COD) using a copper electrode: a clean alternative method , 2009 .

[29]  Donata Dubber,et al.  Replacement of chemical oxygen demand (COD) with total organic carbon (TOC) for monitoring wastewater treatment performance to minimize disposal of toxic analytical waste , 2010, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

[30]  F. Momani,et al.  Photocatalytic treatment of water soluble pesticide by advanced oxidation technologies using UV light and solar energy , 2010 .

[31]  Delu Pan,et al.  Deteriorating water clarity in shallow waters: Evidence from long term MODIS and in-situ observations , 2018, International Journal of Applied Earth Observation and Geoinformation.

[32]  Furong Gao,et al.  Wastewater quality monitoring system using sensor fusion and machine learning techniques. , 2012, Water research.

[33]  Jacek Namieśnik,et al.  Moving your laboratories to the field--Advantages and limitations of the use of field portable instruments in environmental sample analysis. , 2015, Environmental research.