1. Exploring the relationship between
water availability and small-scale
agricultural systems near Mount Kenya
Drew Gower; Advisor: Dr. Kelly Caylor
Department of Civil & Environmental Engineering,
Princeton University
5. Irrigated Agriculture
• Hydrologic variability offset by irrigation using
river water
• Supports a range of operations from export-
driven large farms to household gardens
producing food for domestic consumption.
• Large farms draw water from the rivers through
separate irrigation systems and are buffered by
boreholes and reservoirs
• Households receive water for irrigation and
domestic use through community water projects
9. Research Questions
• What is the current and past distribution of dry
season irrigation use in the Nanyuki Catchment?
• What populations are currently most dependent
on irrigation use for their livelihoods?
• How might climate change affect water
availability and livelihoods in the Nanyuki
Catchment?
• What factors affect the resilience of dryland
agricultural systems generally?
10. Previous Work
• Conducted weekly flow
measurements in 10 to 20
households in 25 projects
• Consisted of recording the
amount of time needed for
water to fill an 18 liter bucket
• Lasted between 5 and 6
months, depending on the
project
• Also recorded amount and
type of water use at one
household per project
12. Household and Manager Surveys
• More than 1,050 household-
level surveys on water use,
agricultural practices,
cropping strategies, and
demographic information
• Eighty water project-level
manager surveys on rule
formation, water rotation
strategies, and water project
infrastructure
13. Ongoing Work
• Weekly stream gauging and
isotopic sampling at 10
locations in the Nanyuki
Catchment
• Weekly collection of natural
and agricultural vegetation
samples for isotopic analysis
• Helping projects to upgrade
their master meters to collect
project-level flow information
15. Socio-hydrologic Model
Hydrologic
Model
Crop Model
Agent-Based
Model
• Composed of a conceptual
hydrologic model, an agent-based
model and a crop model
• Validated with hydrologic
measurements and distribution of
agricultural yields
• Used to investigate socio-
hydrologic outcomes of climate
and land use change
• Outcomes evaluated by total crop
yield and fraction of users above a
minimum threshold of water
availability
16. Acknowledgements
This research was supported by the National Science Foundation,
Grant No. 1115009. I’d also like to thank the following people for
their advice and assistance:
• Dr. Kelly Caylor (Princeton University)
• Sally Goodman (Princeton University)
• Eliza Harkins (Princeton University)
• John Gitonga (Mpala Research Center)
• Dr. Tom Evans (Indiana University)
• Paul McCord (Indiana University
• Dr. Jampel Dell’Angelo (Indiana University)
• Mengistu Seketedi (Lewa Wildlife Conservancy)
• Linden McBride (Cornell University)
1,217 square kilometer catchment. Forms part of the Ewaso Nyiro River basin. Drains Mount Kenya, over 5,000masl and 2nd highest mountain in Africa, and parts of the Laikipia Plateau. Contains several villages and two larger towns: Nayuki and Timau.
Rainfall decreases drastically with drops in elevation (almost 1,000 mm/yr from upper slopes to savanna): 1,600mm to 700 mm to 500 mm
Rainfall primarily occurs during two rainy seasons throughout the year
Population growth rates from 4% to 8% have caused irrigated area in WN Basin to increase from 227ha to 4088 ha during 1969-1999 (almost 20-fold)
Low flows in the downstream areas hit the most vulnerable populations
Some sources show rainfall decreasing and temperatures increasing
Flow data from the Miarage Water Project in the Likii WRUA. Provides a baseline of the amount of water available for individual households.
To determine water use, rationing and conservation strategies at the different levels in the catchment