Changes

Jump to: navigation, search

Water Portal / Rainwater Harvesting / Rainwater Harvesting GIS Map

828 bytes added, 01:24, 15 January 2016
no edit summary
{{Language-box|english_link=Water Portal / Rainwater Harvesting / Rainwater Harvesting GIS Map|french_link=Les cartes SIG pour la collecte des eaux de pluie|spanish_link=El SIG aplicado a la captación de agua de lluvia|hindi_link=वाटर पोर्टल / वर्षाजल संचयन / वर्षाजल संचयन जीआइएस मैप |malayalam_link=coming soon|tamil_link=coming soon | korean_link=빗물집수 GIS 지도 | chinese_link=雨水收集的地理信息系统地图|indonesian_link=Peta GIS Panen Air Hujan|japanese_link=雨水貯留 GIS マップ}}
[[Image:rain_logo.png|right|150px|]]
[[Rainwater Harvesting]] has proven to be an effective and sustainable solution to overcome or reduce water shortages all over the world. Especially in the light of climate change, population growth and increased pressure on natural water resources, rainwater is becoming more and more attractive as an alternative water source.
 
 
[[Image:rainwater GIS tool banner.png|none|900px|]]
 
===Mapping the Potential of Rainwater Harvesting===
===STEP 1. Data Collection===
[[Image:GIS model icon.png|50px|]]<br>
To collect the information needed for developing the Rainwater Harvesting map, the first step is to define the datasets that are needed to answer your specific question and collect the data accordingly. If you are interested in the Rainwater Harvesting potential in your area, in general two types of information should be combined to assess this:
===STEP 2. Assigning Scores and Weights===
[[Image:Scores and weights icon.png|50px|]]<br>
Having collected the correct data, you need to assign scores and weights to these datasets, as not all datasets might be equally important for the analysis. A GIS expert can help you putting the data in a GIS model and advise you on assigning scores and weights.
'''How does this work?'''<br>
The guiding principle with adding weights is that you give higher weights to the more relevant datasets in your study. For example, when your study focuses on reaching the most remote populations in the region, the suitability class for “population density” will get a lower weight. The weights that should be assigned to the datasets need to be between 0 and 1. Remember that the sum of all weights is always 1one.
The results of this scoring analysis are two maps: one with the need for Rainwater Harvesting and another for the potential success of implementing Rainwater Harvesting. Together, these form the basis for the third step.
===STEP 3. Combining & Analysing Data===
[[Image:combining and analyzing icon.png|50px|]]<br>
Once the suitability scores and weights for both groups of datasets (the need factors and success factors) have been assigned, in this third step you can combine the datasets to find out the Rainwater Harvesting potential of your specific area.
<br>
<font size="3" color="#999">BEFORE AND AFTER UNDERTAKING RAINWATER HARVESTING GIS MAPPING, TAKE INTO ACCOUNT THESE [http://www.nineyrainfoundation.org/showcasetools/map-your-rain/maps.html# FIVE TIPS & TRICKS] (scroll down the page)</font>
<br>
<font size="3" color="#999">INTERESTED? FIND OUT YOURSELF WHAT RAINWATER HARVESTING MAPS CAN DO FOR YOU: [http://www.nineyrainfoundation.org/showcasetools/map-your-rain/maps.html CHECK OUT THESE EXAMPLES FROM MALI, SENEGAL AND BURKINA FASO] (scroll down for an interactive map). </font>
<br>
 
===Acknowledgements===
* RAIN. [http://www.nineyrainfoundation.org/showcasetools/map-your-rain/maps.html RAINWATER HARVESTING GIS MAP].
Winona
Akvopedia-spade, akvouser, bureaucrat, emailconfirmed, staff, susana-working-group-1, susana-working-group-10, susana-working-group-11, susana-working-group-12, susana-working-group-2, susana-working-group-3, susana-working-group-4, susana-working-group-5, susana-working-group-6, susana-working-group-7, susana-working-group-8, susana-working-group-9, susana-working-group-susana-member, administrator, widget editor
30,949
edits
Retrieved from "https://akvopedia.org/wiki/Special:MobileDiff/24248...31679"

Navigation menu