Spatial Analysis for Groundwater Pollution based on Monitoring Data by COMGIS

被引:0
|
作者
Jing, Ping [1 ]
机构
[1] Tianjin Normal Univ, Sch Urban & Environm Sci, Tianjin, Peoples R China
来源
ADVANCED RESEARCH ON MATERIAL ENGINEERING, CHEMISTRY AND ENVIRONMENT | 2013年 / 788卷
关键词
Pollution; Spatial Interpolation; Visualization; GIS; PROVINCE;
D O I
10.4028/www.scientific.net/AMR.788.342
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Groundwater pollution is an important issue in recent years, in order to know how the spatial pollutant situation is, the visualization analysis is adopted to analyse the regional pollution with monitoring data. Monitoring data can be easily acquired, which is the basis for spatial analysis, with the GIS software, the vector layer of monitoring data can be established, and environmental pollution monitoring data can be dynamically managed by point vector layer. On the development platform VB.NET, taking geographic information system components (COMGIS) to design and develop software to come true the spatial analysis function, with the design techniques, various space interpolation methods can be loaded to realize the spatial analysis, such as IDW, Krige, Spline, Trend. These methods can be used to acquire the data of unknown pollutant region by loading the monitoring data layer. With the spatial interpolation method, visual spatial analysis function for groundwater pollution can be realized easily with monitoring data.
引用
收藏
页码:342 / 345
页数:4
相关论文
共 50 条
  • [31] Spatial Distribution and Health Risk Assessment of Groundwater Pollution in Kotlakhpat Industrial Complex, Lahore
    Anwar, Momina
    Shirazi, Safdar Ali
    Mazhar, Usman
    WATER AIR AND SOIL POLLUTION, 2024, 235 (02)
  • [32] Spatial Assessment of Groundwater Quality and Health Risk of Nitrogen Pollution for Shallow Groundwater Aquifer around Fuyang City, China
    Wegahita, Nigus Kebede
    Ma, Lei
    Liu, Jiankui
    Huang, Tingwei
    Luo, Qiankun
    Qian, Jiazhong
    WATER, 2020, 12 (12)
  • [33] Assessment of spatial relationship between groundwater pollution vulnerability and quality indices in Kano, Nigeria
    Hamza, S. M.
    Ahsan, Amimul
    Imteaz, M. A.
    Mohammad, T. A.
    Ghazali, A. H.
    Shariff, A. R. M.
    ARABIAN JOURNAL OF GEOSCIENCES, 2017, 10 (07)
  • [34] Spatial extent of road pollution: A national analysis
    Phillips, Benjamin B.
    Bullock, James M.
    Osborne, Juliet L.
    Gaston, Kevin J.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 773
  • [35] Assessment of spatial relationship between groundwater pollution vulnerability and quality indices in Kano, Nigeria
    S. M. Hamza
    Amimul Ahsan
    M. A. Imteaz
    T. A. Mohammad
    A. H. Ghazali
    A. R. M. Shariff
    Arabian Journal of Geosciences, 2017, 10
  • [36] Distributed data collection and web-based integration for more efficient and informative groundwater pollution risk assessment
    Sege, Jon
    Ghanem, Marwan
    Ahmad, Waseem
    Bader, Hanadi
    Rubin, Yoram
    ENVIRONMENTAL MODELLING & SOFTWARE, 2018, 100 : 278 - 290
  • [37] Large scale prediction of groundwater nitrate concentrations from spatial data using machine learning
    Knoll, Lukas
    Breuer, Lutz
    Bach, Martin
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 668 : 1317 - 1327
  • [38] Monitoring Method of Cow Anthrax Based on Gis and Spatial Statistical Analysis
    Li, Lin
    Yang, Yong
    Wang, Hongbin
    Dong, Jing
    Zhao, Yujun
    He, Jianbin
    Fan, Honggang
    COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE III, 2010, 317 : 21 - +
  • [39] Landfill Risk Assessment on Groundwater Based on Vulnerability and Pollution Index
    Bo Zhang
    Guoxiu Li
    Pin Cheng
    Tian-Chyi Jim Yeh
    Mei Hong
    Water Resources Management, 2016, 30 : 1465 - 1480
  • [40] Temporal and spatial assessment of groundwater contamination with nitrate using nitrate pollution index (NPI), groundwater pollution index (GPI), and GIS (case study: Essaouira basin, Morocco)
    Otman El Mountassir
    Mohammed Bahir
    Driss Ouazar
    Abdelghani Chehbouni
    Paula M. Carreira
    Environmental Science and Pollution Research, 2022, 29 : 17132 - 17149