1. Planning of RWH & Management Interventions Alex R Oduor & Kipruto Cherogony

6. The virtual water concept Food calories

7. The virtual water concept Food calories

8. Virtual water Commodity Embedded Water 1 cup of coffee 1.5 drums H 2 O Loaf of 400gm Bread 2.5 drums H 2 O 1 Litre of milk 5 drums H 2 O 1 Kg rice 15 drums H 2 O 1 Kg maize 4.5 drums H 2 O 1 Kg wheat 7 drums H 2 O Dairy cow 55,302 Kg H 2 O Beef grazing cow 11.905 Kg H 2 O Calves 11,023 Kg H 2 O Heifers 6,613 Kg H 2 O Pigs 3,280 Kg H 2 O Sheep 5,650 Kg H 2 O Poultry 5,124 Kg H 2 O

9. Example of virtual water in daily meals Is this amount of food taken per day healthy? YES.

15. RWH MASTER PLAN FLOW CHART Slope and Relief Analyze slope, gradients & landforms data Soil Type Analyze pedological data: Soil type, depth, infiltration/runoff characteristics, fertility levels etc Produce a water balance at District level Ground Water Potentials Surface Water Potentials Runoff Potential at District & Watershed levels Rainfall potentials at District & Watershed levels Rainfall Partitioning Determine rainfall partitions Produce Maps (1a) showing suitable slope/relief, Map (1b) depicting slope suitability by ranks & (1c) depicting watersheds. Produce Map (2a) showing suitable soils & Map (2b) depicting soil capability ranking for irrigation Produce individual Maps 5 Land use/Vegetation Analyze land use and land cover data Produce Maps 3 showing land use/Landcover Climatic data Analyze climatological data including daily, monthly and annual rainfall over at least a 30 year period Produce Maps 4 depicting climatic aspects: Temperatures, Rainfall Produce Map 6 showing potential supplementary irrigable areas based on bio-physical parameters Use ranking to run MCA Level 1 in GIS environment

16. Location of Study area

17. Bio-physical status - DEM

18. Bio-physical status - Rainfall

19. Bio-physical status – Drainage Network

20. Bio-physical status - Slope

22. Runoff potential ID SUBLOCATION AREA in Mm 2 VOLUME IN Mm 3 1 MATOPE 124 22 2 KINAGONI 244 45 3 VINYUNDUNI 148 26 4 MAKAMINI 155 30 5 KALALANI 62 15 6 MWABILA 103 22 7 MATUMBI 71 16 8 MWATATE 43 11 9 TARU 123 21 10 CHENGONI 90 16 11 MAJI YA CHUMVI 90 17 12 MAZERAS 16 5 13 MWAMDUDU 15 4 14 MNYENZENI 32 9 15 CHIGATO 17 5 16 KIBANDAONGO 82 21 17 GANDINI 91 25 18 MTAA 44 10 19 MABESHENI 32 7 20 BOFU 52 13 GRAND TOTAL 1,632 341

23. Runoff volume by sub-location ‘000 m 3

24. Runoff volume by sub-location ‘000 m 3

25. Analysis of runoff water ID SUB-LOCATION Gross Runoff (m3 ) Net Runoff HH (m 3 ) Drinking water (m3 ) Agriculture water (m3 ) Domestic & others (m3 ) 1 MATOPE 14,378 5,176 474 11,502 2,401 2 KINAGONI 34,219 12,319 1,129 27,375 5,715 3 VINYUNDUNI 29,360 10,569 969 23,488 4,903 4 MAKAMINI 30,465 10,967 1,005 24,372 5,088 5 KALALANI 8,057 2,901 266 6,446 1,346 6 MWABILA 26,548 9,557 876 21,239 4,434 7 MATUMBI 22,950 8,262 757 18,360 3,833 8 MWATATE 7,290 2,624 241 5,832 1,217 9 TARU 40,902 14,725 1,350 32,721 6,831 10 CHENGONI 22,239 8,006 734 17,791 3,714 11 MAJI YA CHUMVI 48,973 17,630 1,616 39,179 8,179 12 MAZERAS 2,989 1,076 99 2,391 499 13 MWAMDUDU 12,813 4,613 423 10,251 2,140 14 MNYENZENI 6,259 2,253 207 5,007 1,045 15 CHIGATO 6,504 2,342 215 5,203 1,086 16 KIBANDAONGO 15,601 5,616 515 12,480 2,605 17 GANDINI 12,575 4,527 415 10,060 2,100 18 MTAA 16,626 5,986 549 13,301 2,777 19 MABESHENI 32,486 11,695 1,072 25,989 5,425 20 BOFU 12,685 4,567 419 10,148 2,118

28. Example of Plan for Gisagara District, Rwanda

30. THE END