-
RAINFALL DATA GENERATION FOR SAMARU, ZARIA USING STATISTICAL PARAMETERS
-
You can get the complete material / full content @ a service support fee of ₦4,800.00(10-USDT) only
-
- Contributor: mr-chris
- engagements: 105
- Case No: 522136ip
- Request PDF:
-
-
ABSRACT - [ Total Page(s): 1 ]
Estimation of rainfall for a desired return period is one of
the pre-requisites for any design purpose at a particular site, which can be
achieved by probabilistic approach. This study is aimed at using the
statistical parameters of long-term observed rainfall data to generate monthly
rainfall depth and estimate rainfall values at different return periods for
hydrological and agricultural planning purposes. The daily rainfall data of 60
years from 1953 to 2012 were collected from the meteorological station situated
at the Institute for Agricultural Research (IAR), Ahmadu Bello Unive
... Continue Reading
CHAPTER ONE - [ Total Page(s): 1 ]CHAPTER ONEINTRODUCTION1.1 Background of the StudySynthetically generated daily or monthly rainfall data are frequently necessary in data scarce environments as input into the planning and design of water resources and soil conservation projects; simulation studies of crop growth and yield; farming systems and field farm operations scheduling ( Jamaludin and Jemain 2007). Rainfall is the principal phenomenon driving many hydrological extremes such as floods, droughts, landslides, debris and mud-flows; its analysis and modelling are typical problems in applied hydrometeorology. Rainfall ... Continue Reading
-
ABSRACT - [ Total Page(s): 1 ]
Estimation of rainfall for a desired return period is one of
the pre-requisites for any design purpose at a particular site, which can be
achieved by probabilistic approach. This study is aimed at using the
statistical parameters of long-term observed rainfall data to generate monthly
rainfall depth and estimate rainfall values at different return periods for
hydrological and agricultural planning purposes. The daily rainfall data of 60
years from 1953 to 2012 were collected from the meteorological station situated
at the Institute for Agricultural Research (IAR), Ahmadu Bello Unive
... Continue Reading
-