Cartographic Representation of Drinking Water Complexes and Projects Service Efficiency of Hilla District


  • Ameera Mohammed Ali Hamza Al-Asaadi
  • Miaad Abbas Barhi Khalil Al-Shammary


Cartographic representation, Service efficiency, GIS


The technological improvement that has reached the world in various fields has prompted geographical and analytical studies to keep pace with scientific development and try to take advantage of the advanced capabilities granted by modern technologies in collecting, storing and tabulating data and information, including the preparation of objective maps with the aim of revealing the efficiency of drinking water projects and complexes with reference and briefing. The effective and influencing factors, whether natural or human, to give a clear picture to know the extent of their impact on the projects in providing drinking water services to the residents of Hilla district using Geographic Information Systems (GIS), as modern geographic techniques were used to collect and survey data on drinking water projects and complexes, analyze and distribute it to know the efficiency of the service Drinking water projects and complexes, the study included five important paragraphs detailed on the efficiency of drinking water services. The first category was a study of the theoretical framework of the study, while the second paragraph included the study of geographical factors affecting the efficiency of drinking water. As for the third paragraph, it was concerned with studying project maps and filtering complexes. Drinking water and its production capacity in the study area, while the focus Paragraph four on the cartographic representation of the efficiency of serving drinking water projects and complexes in the district of Hilla. It was found from the study that there are some projects that suffer from a shortage of production capacity and therefore a deterioration in the efficiency of the service provided by drinking water projects and complexes. Therefore, we note an increase in the number of unsaved populations, this increase varies from one area to another among the administrative units in the study area.