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Water scheme monitoring
using mobile-to-Web
technologies in Senegal
World Water ForumIstanbul 16-22 March
2009Session 2.1.1
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A quick overview of rural water schemes (RWS) in Senegal
• Operating data
– Persons served 4 396 980
– Villages connected 5 100
– Public standposts >10.800
– Private connections 66 881– Cumulated output: 120 000 m3/day
(estim.)
– Mean availability rate: 95% (2007)
1200 RWS1200 RWS
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Challenge: the need for reliable operating data on 1200 rural
schemes• What for ?
– Regulation of water service management– Management of ground water resources– Follow-up of O&M by private operators
• Strategic stakes for sector governance– Continuity of safe water delivery to 4,4
million people in rural areas– Transparency, accountability and
efficiency of water service over 1200 RWS
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Issues to address in developing a countrywide monitoring
system• Weakness of present monitoring activities
– Limited to a small number of sites (projects)– Lack of feedback to water user assoc.
(ASUFOR)– Not really sustainable after projects closure
• Logistical constraints– Geographical dispersion of the 1200 RWS
• Effective participation from stakeholders– Endorsement required from the ASUFOR– Deal with variable capacities of ASUFOR staff
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Conceptual ideas for a basic monitoring system on RWS
• Goal: a monitoring system that can be deployed over a large number of RWS and accessed by multi-users
• Concept – A limited set of data (i) relevant for
monitoring needs and (ii) that can be collected on-the-spot
– A reliable, simple and sustainable data handling and management system
– A continuous feedback to each ASUFOR
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A favorable context: the high use of mobile telephony in rural
areas• High penetration growth in rural population70% of RWS locations covered by networks• Existing mobile-based services in agriculture
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Designing a basic performance monitoring using 3 monthly data
1. Reading of bulk water production meter(s)
2. Balance of current and savings accounts
3. Nb. of days of down-time in the current month
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Data sent by SMS
• Today: by typing 2 sms on an ordinary mobile phone
• Soon: with a user-friendly, dedicated “water” mobile phone
cpt 4740000#4763800
Balance of accounts
eau 98540#
Index of water meter
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Data received on a mobile-to-web platform and transferred to
a website for processing and analysis
DATA SENDING
DATA PROCESSING
DATA ANALYSIS AND FEEDBACk
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Data processing and Performance monitoring outputs
• 5 indicators calculated from data– Mean daily output m3/day– Actual / Authorized daily output ratio %– Self-financing capacity FCFA– Self-financing capacity per m3 FCFA/m3
– Service availability rate %• Evaluation of indicators against
– Reference values– Analysis of historical trends
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Indicative table of reference values
INDICATOR
REFERENCE VALUE
AVERAGE DAILY
OUTPUT
> 120 m3/day
70 to 120 m3/day
< 70 m3/day
ACTUAL / AUTHORIZED
A.D.O. < 70% 70 to 90% > 90%
SELF FINANCING CAPACITY
> 10 MFCFA
5 to 10 MFCFA
< 5 MFCFA
SERVICE AVAILABILITY
RATE
> 95% 90 to 95% < 90%
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Output #1: Monthly summary report ASUFOR
ProductionIndex compteur compteur d'eau forage à fin de période m3
Volume journalier pompé sur la dernière période m3/jour
Volume journalier pompé sur 12 dernières périodes m3/jour
Capacité d'autofinancementSolde compte épargne à fin de période FCFA
Solde compte courant à fin de période FCFA
Variation compte épargne + courant sur la dernière période FCFA
Variation compte épargne + courant sur 12 dernières périodes FCFA
FonctionnalitéNb. de pannes bloquantes sur la dernière période Jours
Nb. de panne non bloquantes sur la dernière période 0 Jours
Nb. de jours d'arrêt sur 12 dernières périodes Jours
Taux de disponibilité sur 12 dernières périodes %
EvaluationNiveau de production XCapacité d'autofinancement X Excellente
Rythme de constitution d'épargne X Bien
Taux de fonctionnalité X
Fréquence des pannes X à surveiller
Recommandation Surveiller la fonctionnalité
30/10/2008NGODIBA Dernière mise à jour
24 270132110
22 722 185
99
312 055
800 0000
1
1
Volume journalier (m3/jour)
0
100
200
300
1 2 3 4 5 6 7 8 9 10 11 12
Comptes épargne + courant (FCFA)
0
5 000 000
10 000 000
15 000 000
20 000 000
25 000 000
1 2 3 4 5 6 7 8 9 10 11 12
FCFA épargne générée vs. Cumul m3
0
500 000
1 000 000
1 500 000
0 2 000 4 000 6 000 8 000 10 000 12 000
100 FCFA/m3 50 FCFA/m3
Nombre de jours d'arrêt
0
2
1 2 3 4 5 6 7 8 9 10 11 12
Exploitable
Risk notification (Reference values)
Risk anticipation (Historical trends)
Feedback and advice
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Output #2: Water extractions chart
0 50 100 150 200 250 300 350 400
NdangalmaNdiass
Touba ToulKeur AyibOuadiour
NdiagoBegal
SibassorTanime
MalicoundaDiaoule
Medina KaneGolobe
NdieffouneTylor
SandiaraPatar
NdiebelNgodiba
Ndakhar MbayeNgathie Naoude
TassetteMerina Asta
DallaTelly
Simong DieneThicky
Keur NgalgouNguelou
Keur SoceGap
NguecokhNgolfagning
Djiadji Goumack
m3/day
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Output #3: Management chart
0
5 000 000
10 000 000
15 000 000
20 000 000
25 000 000
30 000 000
35 000 000
0 50 100 150 200 250 300 350 400
MEAN DAILY OUTPUT m3/day
FC
FA
IN
SA
VIN
GS
&
CU
RR
EN
T AC
CO
UN
TS
Sites with low financing capacity vs daily output
Sites with medium to high financing capacity vs daily output
TO BE CHECKED
1st
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Implementation of the service
• Public private partnership PEPAM-MANOBI– Development by MANOBI with PEPAM guidance – Service delivery by MANOBI to ASUFORs through
a subscription system– Data shared with PEPAM for regulation needs
• Steps– Pilot phase in 2008 with 60 ASUFORs– Progressive deployment starting 2009
• Support of the Water and Sanitation Program
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Thank you
