| dc.creator |
Mwanukuzi, Phillip K. |
|
| dc.date |
2016-07-19T13:02:55Z |
|
| dc.date |
2016-07-19T13:02:55Z |
|
| dc.date |
2008 |
|
| dc.date.accessioned |
2018-03-27T09:09:41Z |
|
| dc.date.available |
2018-03-27T09:09:41Z |
|
| dc.identifier |
Mwanukuzi, P.K., 2008. Using GIS for decision‐making: the case of Kidunda dam in Morogoro, Tanzania. The Geographical Journal, 174(2), pp.161-164. |
|
| dc.identifier |
http://hdl.handle.net/20.500.11810/3282 |
|
| dc.identifier |
10.1111/j.1475-4959.2008.00288.x |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.11810/3282 |
|
| dc.description |
Dams are important water resource manage ment systems. In many places, water is regulated by and stored in dams for various purposes, but most importantly to maintain a reliable supply of water. Currently 64% of the total population of Africa relies on water resources that are limited and highly variable (Smith 2004). The major source of water for Dar es Salaam is the Ruvu River. In the driest years, the mean flow for the Ruvu River is 1.25 m3 s−1 and water abstraction from the river at full capacity is 3.6 m3 s−1. The city water demand forecasted for the year 2030 is 27.7 m3 s−1 and for the year 2050, 62.0 m3 s−1. Little water storage capacity is available, and there are always water shortages when flows of the Ruvu are low. |
|
| dc.language |
en |
|
| dc.publisher |
Wiley |
|
| dc.title |
Using GIS for Decision‐Making: The Case of Kidunda Dam in Morogoro, Tanzania |
|
| dc.type |
Journal Article, Peer Reviewed |
|