Water issues in developing countries aren't restricted to a water source and sanitation services. Water shortages experienced by owners across the region is plagued with persistent cycles of flooding as well as the drought that are increasing in severity and frequency, inside portion exacerbated by climate shift, as well as coupled with population growth, great upland watershed destruction, and nonequitable distribution of water resources.

There's demand in improving access to water, improving community capability to control and much better use water resources, improving drinking water resource infrastructure in semi-arid and arid places, improving water sanitation as well as hygiene methods, in addition to defending watersheds.

Program Objectives

By completing this training program, participants are will be able to:-

• Evaluate the spatial info needs in Water Sanitation and Hygiene

• Use GIS and RS as something for examining Wash projects Activities

• Assess geospatial data availability

• Comprehend the advantages of Spatial Data Infrastructure (SDI) discovered Wash programs

• Carry out water and sanitation modeling using GIS

• Collect info using Mobile info gathering tools

• Do important data analysis using statistical software

• Design and put into action their very own GIS projects which include remote sensing information, GPS based field information in an excellent geospatial framework

Course Content

Introduction and definitions of key concepts

·       WASH concepts

·       GIS concepts

·         Introduction to GIS Software (QGIS)

GIS Principles

·         Principles of GIS

·         Components of GIS Systems

·         GIS Capabilities and Functions in the context of WASH

·         Spatial Data Infrastructure in WASH

Configuration of GPS and GPS Data Collection

·         GPS configuration, capturing data from surveys

·         GPS download and related tasks

·         Integrating field GPS data into the GIS database

·         Facilitated Field exercises in GPS Data Collection in WASH

GIS Data Management

·         Data Sources in GIS for WASH

·         Working with GIS Data

·         Attributes manipulation in GIS

·         Tabular data in GIS –import/add and editing tables in GIS

·         GIS database creation

·         GIS database management

·         Facilitated Practical exercises in working with Geo-databases

Development & presentation of maps

·         GIS Mapping

·         Styling and symbolization

·         Mapping resources/Project activities

Online Mapping

·         Facilitated practical exercises

·         Basic analysis and Geo processing

·         Online Mapping – Google Maps and Fusion Tables

Case study: GIS application in testing of water quality

• Identify and map critical areas of land use and reveal trends that affect water quality
• GIS to monitor the levels of water, water usage, & watch for trends
• Use of GIS for mapping river contamination

Mobile Phones for data Collection Technology

·         Participatory GIS for WASH

·         Use of Mobile Phones for data Collection in WASH

·         Multi Criteria analysis and its application in WASH

·         Case study: GIS and Remote Sensing as a tool in monitoring WASH projects

Statistical data analysis for WASH

·         Introduction to excel

·         Data Entry and Management with Excel

·         Manipulating data using formulas

·         Preparing data for analysis

·         Creating a list

·         Outlining and Sorting data

·         Entering Data: Data Forms

·         Finding Records Using Criteria

·         Filtering Data

·         Data Auditing

·         Data validation

·         Introduction to Excel Pivot tables

·         Frequency Tables

·         Two Way Tables

·         Any Order Tables

Qualitative and Quantitative Data Analysis

·         Graphing Qualitative Data

·         Graphing Quantitative Data

·         Descriptive Statistics

·         Basic Inferential Statistics Tests such as ANOVA and correlation

·         Basic Regression Analysis

·         Tabulations and Graphics

·         Statistical Data Analysis with Excel

·         Data Quality reporting