Literature DB >> 31664670

Assessing the influence of land use on groundwater pollution based on coefficient of variation weight method: a case study of Shuangliao City.

Ying Sun1,2,3, Xiujuan Liang4,5,6, Changlai Xiao1,2,3.   

Abstract

In this study, the quality of groundwater was tested in 95 sampling wells in Shuangliao City. Based on the results, the coefficient of variation method was used to calculate the comprehensively evaluated value F, and the grade of groundwater quality, in accordance with the actual scenario in the study area, was classified according to the results of the evaluation. The spatial distribution of groundwater quality types in the study area was classified. In addition, the influence of human activity on each groundwater subsystem was assessed. Combined with the land use types in the study area, the Circle model was used to extract the land use types in the circular buffer zone with a radius of 500 m, and the Kendall rank correlation test was used to analyze the influence of the land use types on the spatial distribution of groundwater pollution. Based on the coefficient of variation, the groundwater quality standard was divided into four sections considering the actual scenario: ≤ 0.92 (I), 0.92~≤ 1.75 (II), 1.75~≤ 2.40 (III), and > 2.40 (IV). Water from class II was considered the main type for groundwater quality. NO3-, TFe, and Mn were deemed the main indexes of groundwater pollution. Further, land use type was found to have a great influence on the spatial distribution of groundwater pollution; specifically, dry land, paddy field, areas with dense traffic, and residential areas are the main land types that affect the groundwater environment.

Entities:  

Keywords:  Circle model; Coefficient of variation; Groundwater pollution; Kendall’s tau (τ); Land use types; Responsible Editor: Philipp Gariguess; Weight of indexes

Mesh:

Substances:

Year:  2019        PMID: 31664670     DOI: 10.1007/s11356-019-06598-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  8 in total

1.  The use of multicomponent statistical analysis in hydrogeological environmental research.

Authors:  Nicolaos Lambrakis; Andreas Antonakos; George Panagopoulos
Journal:  Water Res       Date:  2004-04       Impact factor: 11.236

2.  Assessing the impact of changes in landuse and management practices on the diffuse pollution and retention of nitrate in a riparian floodplain.

Authors:  Stefan Krause; Joerg Jacobs; Anja Voss; Axel Bronstert; Erwin Zehe
Journal:  Sci Total Environ       Date:  2007-10-29       Impact factor: 7.963

3.  [Influence of human activities on groundwater environment based on coefficient variation method].

Authors:  Wei Zhao; Jian Lin; Shu-Fang Wang; Ji-Lai Liu; Zhong-Rong Chen; Wen-Jie Kou
Journal:  Huan Jing Ke Xue       Date:  2013-04

Review 4.  Progress, opportunities, and key fields for groundwater quality research under the impacts of human activities in China with a special focus on western China.

Authors:  Peiyue Li; Rui Tian; Chenyang Xue; Jianhua Wu
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-10       Impact factor: 4.223

5.  Impacts of urban land use on the spatial distribution of groundwater pollution, Harbin City, Northeast China.

Authors:  Zhuo Jia; Jianmin Bian; Yu Wang
Journal:  J Contam Hydrol       Date:  2018-07-04       Impact factor: 3.188

6.  Characterizing groundwater quality ranks for drinking purposes in Sylhet district, Bangladesh, using entropy method, spatial autocorrelation index, and geostatistics.

Authors:  Abu Reza Md Towfiqul Islam; Nasir Ahmed; Md Bodrud-Doza; Ronghao Chu
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-24       Impact factor: 4.223

7.  Anemia and iron deficiency in rural Bangladeshi pregnant women living in areas of high and low iron in groundwater.

Authors:  Faruk Ahmed; Moududur Rahman Khan; Najma Shaheen; Kazi Matin Uddin Ahmed; Aziz Hasan; Ireen Akhtar Chowdhury; Rafiqul Chowdhury
Journal:  Nutrition       Date:  2018-02-09       Impact factor: 4.008

8.  Development of relative risk model for regional groundwater risk assessment: a case study in the lower Liaohe River Plain, China.

Authors:  Xianbo Li; Rui Zuo; Yanguo Teng; Jinsheng Wang; Bin Wang
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

  8 in total
  3 in total

1.  Integrated index-based assessment reveals long-term conservation progress in implementation of Convention on Biological Diversity.

Authors:  Yisi Hu; Meng Wang; Tianxiao Ma; Mingpan Huang; Guangping Huang; Wenliang Zhou; Xiaoge Ping; Yonglong Lu; Fuwen Wei
Journal:  Sci Adv       Date:  2022-01-05       Impact factor: 14.136

2.  Evaluating water-yield property of karst aquifer based on the AHP and CV.

Authors:  Shuai Yu; Hanghang Ding; Yifan Zeng
Journal:  Sci Rep       Date:  2022-02-28       Impact factor: 4.379

3.  Dynamic Analysis of the Coupling Coordination Relationship between Urbanization and Water Resource Security and Its Obstacle Factor.

Authors:  Kaize Zhang; Juqin Shen; Ran He; Bihang Fan; Han Han
Journal:  Int J Environ Res Public Health       Date:  2019-11-28       Impact factor: 3.390

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.