Literature DB >> 29285604

A new four-step hierarchy method for combined assessment of groundwater quality and pollution.

Henghua Zhu1, Xiaohua Ren2, Zhizheng Liu1.   

Abstract

A new four-step hierarchy method was constructed and applied to evaluate the groundwater quality and pollution of the Dagujia River Basin. The assessment index system is divided into four types: field test indices, common inorganic chemical indices, inorganic toxicology indices, and trace organic indices. Background values of common inorganic chemical indices and inorganic toxicology indices were estimated with the cumulative-probability curve method, and the results showed that the background values of Mg2+ (51.1 mg L-1), total hardness (TH) (509.4 mg L-1), and NO3- (182.4 mg L-1) are all higher than the corresponding grade III values of Quality Standard for Groundwater, indicating that they were poor indicators and therefore were not included in the groundwater quality assessment. The quality assessment results displayed that the field test indices were mainly classified as grade II, accounting for 60.87% of wells sampled. The indices of common inorganic chemical and inorganic toxicology were both mostly in the range of grade III, whereas the trace organic indices were predominantly classified as grade I. The variabilities and excess ratios of the indices were also calculated and evaluated. Spatial distributions showed that the groundwater with poor quality indices was mainly located in the northeast of the basin, which was well-connected with seawater intrusion. Additionally, the pollution assessment revealed that groundwater in well 44 was classified as "moderately polluted," wells 5 and 8 were "lightly polluted," and other wells were classified as "unpolluted."

Entities:  

Keywords:  Comprehensive evaluation; Four-step hierarchy; Groundwater; Quality and pollution assessment

Mesh:

Substances:

Year:  2017        PMID: 29285604     DOI: 10.1007/s10661-017-6403-7

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  7 in total

1.  Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of blackfoot disease in Taiwan.

Authors:  Yi Ming Kuo; Chen Wuing Liu; Kao Hung Lin
Journal:  Water Res       Date:  2004-01       Impact factor: 11.236

2.  The natural (baseline) quality of groundwater: a UK pilot study.

Authors:  W M Edmunds; P Shand; P Hart; R S Ward
Journal:  Sci Total Environ       Date:  2003-07-01       Impact factor: 7.963

3.  Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan.

Authors:  Chen-Wuing Liu; Kao-Hung Lin; Yi-Ming Kuo
Journal:  Sci Total Environ       Date:  2003-09-01       Impact factor: 7.963

4.  Background and threshold: critical comparison of methods of determination.

Authors:  Clemens Reimann; Peter Filzmoser; Robert G Garrett
Journal:  Sci Total Environ       Date:  2005-06-15       Impact factor: 7.963

5.  Groundwater Quality Modeling with a Small Data Set.

Authors:  Mohamad Sakizadeh; Abbass Malian; Eisa Ahmadpour
Journal:  Ground Water       Date:  2015-01-08       Impact factor: 2.671

6.  A study of trace element contamination using multivariate statistical techniques and health risk assessment in groundwater of Chhaprola Industrial Area, Gautam Buddha Nagar, Uttar Pradesh, India.

Authors:  Manoj Kumar; A L Ramanathan; Ritu Tripathi; Sandhya Farswan; Devendra Kumar; Prosun Bhattacharya
Journal:  Chemosphere       Date:  2016-09-29       Impact factor: 7.086

Review 7.  A review of groundwater contamination near municipal solid waste landfill sites in China.

Authors:  Zhiyong Han; Haining Ma; Guozhong Shi; Li He; Luoyu Wei; Qingqing Shi
Journal:  Sci Total Environ       Date:  2016-07-05       Impact factor: 7.963

  7 in total
  1 in total

1.  Environmental assessment of agricultural activities and groundwater nitrate pollution susceptibility: a regional case study (Southwestern Romania).

Authors:  Oana Mititelu-Ionuș; Daniel Simulescu; Simona Mariana Popescu
Journal:  Environ Monit Assess       Date:  2019-07-20       Impact factor: 2.513

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.