1 water scheme monitoring using mobile-to-web technologies in senegal world water forum istanbul...
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Water scheme monitoring using mobile-to-Web technologies in SenegalWorld Water ForumIstanbul 16-22 March 2009Session 2.1.1
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A quick overview of rural water schemes (RWS) in SenegalOperating dataPersons served4 396 980Villages connected5 100Public standposts >10.800Private connections66 881Cumulated output: 120 000 m3/day (estim.)Mean availability rate: 95% (2007) 1200 RWS
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Challenge: the need for reliable operating data on 1200 rural schemesWhat for ?Regulation of water service managementManagement of ground water resourcesFollow-up of O&M by private operatorsStrategic stakes for sector governanceContinuity of safe water delivery to 4,4 million people in rural areasTransparency, accountability and efficiency of water service over 1200 RWS
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Issues to address in developing a countrywide monitoring systemWeakness of present monitoring activitiesLimited to a small number of sites (projects)Lack of feedback to water user assoc. (ASUFOR)Not really sustainable after projects closureLogistical constraintsGeographical dispersion of the 1200 RWSEffective participation from stakeholdersEndorsement required from the ASUFORDeal with variable capacities of ASUFOR staff
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Conceptual ideas for a basic monitoring system on RWSGoal: 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-spotA reliable, simple and sustainable data handling and management systemA continuous feedback to each ASUFOR
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A favorable context: the high use of mobile telephony in rural areasHigh penetration growth in rural population70% of RWS locations covered by networksExisting mobile-based services in agriculture
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Designing a basic performance monitoring using 3 monthly dataReading of bulk water production meter(s)Balance of current and savings accountsNb. of days of down-time in the current month
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Data sent by SMSToday: by typing 2 sms on an ordinary mobile phoneSoon: with a user-friendly, dedicated water mobile phone
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Data received on a mobile-to-web platform and transferred to a website for processing and analysis
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Data processing and Performance monitoring outputs5 indicators calculated from dataMean daily outputm3/dayActual / Authorized daily output ratio %Self-financing capacityFCFASelf-financing capacity per m3FCFA/m3Service availability rate%Evaluation of indicators againstReference valuesAnalysis of historical trends
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Indicative table of reference values
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Output #1: Monthly summary report
TableauBord
ASUFORNGODIBADernire mise jour10/30/08
Production
Index compteur compteur d'eau forage fin de priode24,270m3
Volume journalier pomp sur la dernire priode132m3/jour
Volume journalier pomp sur 12 dernires priodes110m3/jour
Capacit d'autofinancement
Solde compte pargne fin de priode22,722,185FCFA
Solde compte courant fin de priode312,055FCFA
Variation compte pargne + courant sur la dernire priode0FCFA
Variation compte pargne + courant sur 12 dernires priodes800,000FCFA
Fonctionnalit
Nb. de pannes bloquantes sur la dernire priode1Jours
Nb. de panne non bloquantes sur la dernire priode0Jours
Nb. de jours d'arrt sur 12 dernires priodes1Jours
Taux de disponibilit sur 12 dernires priodes99%
Evaluation
Niveau de productionX
Capacit d'autofinancementXExcellente
Rythme de constitution d'pargneXBien
Taux de fonctionnalitX
Frquence des pannesX surveiller
RecommandationSurveiller la fonctionnalit
&L&"Arial,Italique"&8Rapport de suivi de base&R&"Arial,Italique"&8MANOBI SA - PEPAM 2008
TableauBord
1240
2240
3240
4240
5240
6240
7240
102.2121212121240
94.6428571429240
132.2240
11240
12240
Volume journalier
Maxi prconis
Volume journalier (m3/jour)
data
1
2
3
4
5
6
21922185312055
22422185312055
22722185312055
22722185312055
11
12
Epargne
Courant
Comptes pargne + courant (FCFA)
eausb
000
500000337300168650
800000602300301150
800000998900499450
100 FCFA/m3
50 FCFA/m3
FCFA pargne gnre vs. Cumul m3
pannes
1
2
3
4
5
6
7
0
0
1
11
12
Nb. jours d'arrt
Nombre de jours d'arrt
Priode123456789101112
Date debut31-Jul2-Sep30-Sep
Date fin31-Jul2-Sep30-Sep30-Oct
Nb jours332830
Index14,28117,65420,30424,270
Volume3,3732,6503,966
Volume cumul03,3736,0239,989
Volume journalier10295132
Volume maxi prconis20240240240240240240240240240240240240
Jours d'arrt001
Panne non bloquante000
Epargne21,922,18522,422,18522,722,18522,722,185
Courant312,055312,055312,055312,055
Epargne gnre0500,000800,000800,000
100 FCFA/m31000000000337,300602,300998,900
50 FCFA/m3500000000168,650301,150499,450
Exploitable
Luc HOANG-GIA: vrifier
DateIndexVolumePanne BPanne NBEpargneCourantCumPanneBCumPanneNB
31/07/0814,281021,922,185312,05500
06/08/0814,949668021,922,185312,05500
14/08/0815,9691,0200022,422,185312,05500
19/08/0816,5555860022,422,185312,05500
26/08/0817,0555000022,422,185312,05500
02/09/0817,6545990022,422,185312,05500
10/09/0818,3466920022,422,185312,05500
17/09/0819,3009540022,422,185312,05500
24/09/0819,6973970022,722,185312,05500
30/09/0820,3046070022,722,185312,05500
09/10/0821,2389340022,722,185312,05500
15/10/0821,6734350022,722,185312,05500
22/10/0822,8681,1951022,722,185312,05510
30/10/0824,2701,4020022,722,185312,05510
06/11/0825,2349641022,722,185312,05520
datem3jrsarretepargnecourant
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
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Output #2: Water extractions chart
Graph3
376.404494382
319.3260869565
259.3548387097
248.3452380952
213.6391752577
191.8928571429
173.9090909091
168.8571428571
161
154
154.1857142857
153.6119402985
148.0208333333
144.6753246753
133.2688172043
132.0833333333
130.5154639175
128.6506024096
109.7692307692
102.4444444444
100.8681318681
86.7640449438
85.1235955056
83.8928571429
81
77.862745098
68.5824175824
63
61.4342105263
54.1973684211
50.4395604396
48.2763157895
45.1842105263
29.7534246575
m3/day
Feuil1
#SiteVolEp+ccTxFonc
1Ndangalma3767,965,31096.6%34
2Ndiass31916,189,36590.2%
3Touba Toul2595,748,685100%412%100%
4Keur Ayib24811,338,830100.0%926%88%
5Ouadiour21430,466,340100%926%62%
6Ndiago19220,517,720100.0%721%35%
7Begal1747,420,205100.0%515%15%
8Sibassor16912,204,38099%
34Tanime16110,598,500100.0%
33Malicounda Wolof1540100.0%
9Diaoule1549,782,100100.0%
32Medina Kane1544,167,230100.0%
10Golobe1489,516,145100%
11Ndieffoune Keur Ndiaw1451,557,505100%
12Tylor1337,054,800100%
13Sandiara13215,960,000100.0%
14Patar13123,034,24098.9%
15Ndiebel12911,007,64094.4%
16Ngodiba1108,161,300100.0%
17Ndakhar Mbaye1023,169,32597%
18Ngathie Naoude1015,320,00098.9%
19Tassette874,870,500100.0%
20Merina Asta852,436,56596%
21Dalla8412,895,480100%
22Telly817,650,00099%
23Simong Diene784,900,50093.3%
24Thicky6911,609,780100%
25Keur Ngalgou6317,028,35593.4%
26Nguelou611,152,000100.0%
27Keur Soce5410,852,56099%
28Gap508,285,155100%
29Nguecokh482,603,500100.0%
30Ngolfagning45
31Djiadji Goumack30
m3/Jour
Totaux4,540
Moyennes134
Feuil3
#SiteVolEp+ccTxFonc
1Ndangalma3767,965,31097%
11Ndieffoune Keur Ndiaw1454,167,230100%
3Touba Toul2595,748,685100%
13Sandiara1321,557,505100%
7Begal1747,420,205100%
22Telly812,436,56596%
19Tassette873,169,32597%
14Patar1317,054,800100%
2Ndiass31916,189,36590%
4Keur Ayib24811,338,830100%
5Ouadiour21430,466,340100%
6Ndiago19220,517,720100%
8Sibassor16912,204,38099%
9Diaoule15410,598,500100%
10Golobe1489,782,100100%
12Tylor1339,516,145100%
15Ndiebel12915,960,000100%
16Ngodiba11023,034,24099%
17Ndakhar Mbaye10211,007,64094%
18Ngathie Naoude1018,161,300100%
23Simong Diene7812,895,480100%
24Thicky697,650,00099%
26Nguelou6111,609,780100%
27Keur Soce5417,028,35593%
29Nguecokh4810,852,56099%
30Ngolfagning458,285,155100%
25Keur Ngalgou634,900,50093%
21Dalla844,870,500100%
20Merina Asta855,320,00099%
28Gap501,152,000100%
31Djiadji Goumack302,603,500100%
m3/jourFCFA
Totaux4,072305,464,015
Moyenne1319,853,678
Feuil3
0000
0000
0000
0000
0000
000
000
00
00
00
00
00
00
00
00
00
00
00
00
0
0
0
0
0
0
0
0
0
0
0
0
Sites OK
PB GESTION ?
PB DEMANDE EN EAU
m3/jour
FCFA comptes pargne + courant
Capacit d'autofinancement vs Production moyenne
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Output #3: Management chartSites with low financing capacity vs daily outputSites with medium to high financing capacity vs daily output
Graph4
705480070548007965310
16189365161893654167230
11338830113388305748685
30466340304663401557505
20517720205177207420205
12204380122043802436565
10598500105985003169325
978210097821004900500
951614595161454870500
15960000159600005320000
23034240230342401152000
11007640110076402603500
81613008161300
1289548012895480
76500007650000
1160978011609780
1702835517028355
1085256010852560
82851558285155
7965310
4167230
5748685
1557505
7420205
2436565
3169325
4900500
4870500
5320000
1152000
2603500
Sites OK
MEAN DAILY OUTPUT m3/day
FCFA IN SAVINGS & CURRENT ACCOUNTS
Feuil3
#SiteVolEp+ccTxFonc
14Patar1317,054,800100%
2Ndiass31916,189,36590%
4Keur Ayib24811,338,830100%
5Ouadiour21430,466,340100%
6Ndiago19220,517,720100%
8Sibassor16912,204,38099%
9Diaoule15410,598,500100%
10Golobe1489,782,100100%
12Tylor1339,516,145100%
15Ndiebel12915,960,000100%
16Ngodiba11023,034,24099%
17Ndakhar Mbaye10211,007,64094%
18Ngathie Naoude1018,161,300100%
23Simong Diene7812,895,480100%
24Thicky697,650,00099%
26Nguelou6111,609,780100%
27Keur Soce5417,028,35593%
29Nguecokh4810,852,56099%
30Ngolfagning458,285,155100%
1Ndangalma3767,965,31097%
11Ndieffoune Keur Ndiaw1454,167,230100%
3Touba Toul2595,748,685100%
13Sandiara1321,557,505100%
7Begal1747,420,205100%
22Telly812,436,56596%
19Tassette873,169,32597%
25Keur Ngalgou634,900,50093%
21Dalla844,870,500100%
20Merina Asta855,320,00099%
28Gap501,152,000100%
31Djiadji Goumack302,603,500100%
m3/jourFCFA
Totaux4,072305,464,015
Moyenne1319,853,678
Feuil3
0000
0000
0000
0000
0000
000
000
00
00
00
00
00
00
00
00
00
00
00
00
0
0
0
0
0
0
0
0
0
0
0
0
Sites OK
PB GESTION ?
PB DEMANDE EN EAU
m3/jour
FCFA comptes pargne + courant
Capacit d'autofinancement vs Production moyenne
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Implementation of the servicePublic private partnership PEPAM-MANOBIDevelopment by MANOBI with PEPAM guidance Service delivery by MANOBI to ASUFORs through a subscription systemData shared with PEPAM for regulation needs StepsPilot phase in 2008 with 60 ASUFORsProgressive deployment starting 2009Support of the Water and Sanitation Program
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Thank you