RESUME
La plupart des données relatives aux systèmes
d'irrigation peuvent maintenant être caractérisés
géographiquement. Une étude orientée vers la
création d'une base de données géographiques (SIG) pour la
gestion des systèmes d'irrigation sous pression a été
effectuée à la "Plantation du Haut Penja". Le système
d'irrigation de ce groupe devient très complexe et diversifié en
raison de l'augmentation du nombre d'hectares de bananiers cultivés
chaque année. Les objectifs spécifiques de l`étude
étaient de: développer une base de données pour un
accès rapide et un stockage méthodique des informations relative
a ce système d'irrigation; développer des couches
thématiques pour le SIG; évaluer les besoins en eau de chaque
parcelle; évaluer le fonctionnement des réseaux et de
représenter spatialement certains aspects du fonctionnement du
système d'irrigation. La base de données sur le système
d'irrigation a été créée à l'aide de
Microsoft Access 2003 tandis que les différentes couches du SIG ont
été créées à l'aide du logiciel MapInfo 8.0.
Une connexion objet de base de données (ODBC) a été
créé entre la base de données MS Access et le logiciel SIG
MapInfo pour effectuer des requêtes sur le système d'irrigation et
représenter certains éléments spatiaux du système
d'irrigation. Un total de 35 tables, 10 formulaires et 17 requêtes ont
été créés pour la base de données afin
d'améliorer la saisie et la récupération des
données. Le calcule de la probabilité de satisfaction des besoins
en eau des cultures de 20 ans de données climatiques pour une profondeur
effective des racines de 50 cm, ces besoins étaient de 40 mm/semaine
pour une satisfaction des besoins en eau des cultures 1 an sur 20. En fonction
de l'évapotranspiration des cultures et de l'efficacité des
pluies de la veille, les demandes en eau des cultures seront ajustées
dans la base de données. Les couches thématiques pour les SIG,
telles : les variétés de cultures, la disposition spatiale des
cultures, types de sols, le type de système d'irrigation, la
répartition des précipitations et d'autres ont été
créés dans la base de données. Certaines de ces couches
ont été représentées spatialement en utilisant le
logiciel MapInfo 8.0. L'analyse des débits, pressions, vitesses
d'écoulement et d'autres propriétés hydrauliques du
réseau a montré que les conditions limites d`écoulement
dans les conduites sont respectées. Cela indique davantage qu`un accent
devrait être mis sur la gestion de ce système ; d`où la
nécessité d`un outil tel le SIG développé dans le
cadre de la présente étude en vue d`améliorer la gestion
du système.
ACKNOWLEDGEMENTS
Knowledge is like a cult which quickly withers away when there
are no disciples, comforters nor supporters. It is in this like that I will
like to appreciate those who have been instrumental to me during this period of
scholastic rummaging. This list is a non exhaustible one which I`ll like to use
to show appreciation:
To the Almighty God Who has given me the opportunity to become
what I am today and who has guided and directed me all the days of my life.
To my supervisors, Prof. Fonteh Mathias who has always guided
me in most of my academic work and Mr. Njila Roger who put efforts together to
see that this work becomes a reality and for the time they visited me on the
field. I`ll forever be grateful to them for the knowledge on database
management they`ve imparted on me.
To my field supervisor, Mr. Boa Apollinaire, thank you
wouldn`t just be enough for me to offer you. You gave in all you could for me
to carry out my internship without stress and you were always in there to guide
me, sometimes till late at night. This and many other things you did for me
during this six month period are enough reasons for me to be thankful.
To Mr. Tsimi Hiliare Zoa, Director of Human Resources at PHP
for the partnership created with the department of agricultural engineering
which gave rise to this internship. This goes a long way to show the
contribution of your company to the training of young Cameroonians in the
agricultural sector.
To Mr. Jean Yves Regnier, Mr. Tchoumba Jules, Mr. Ndosse
Robert, Mrs. Guenaelle Renovolt, Mr. Andjengo Emmanuel all senior workers of
PHP, for the technical advice I received from them during this period and for
all the logistics they provided me with.
To Dr Berinyuy Joseph and Mr. Tekounegning whose comments have
always been very valuable, I owe much honour.
To the lecturers of the Faculty of Agronomy and Agricultural
Sciences and especially those of the Department of Agricultural Engineering,
who have inculcated into me much knowledge in the domain of agronomy.
To Mr. Marin Mahop, of the Department of Agricultural Engineering
for his availability in giving us the technical advice we`ve always needed
during this period.
To Prof. Ajaga and family, Dr. Focho and Family, Fonteh`s
Family, Dr. Ayissi and family for their wise counsel, advice and for moral
encouragements.
To my mates and friends of the 12th batch of FASA
and particularly those of the department of agricultural engineering, for the
wise complements and advice bestowed on each other during these years we`ve
spent together.
To my very dear friends Muyang Achah, Etubo Constance, Ngalim
Olive, Chiato Maryben, Eseinei Paul, Tenkang Ernest, Kilain Fru, Lebaga Eloy,
Tarla Divine, Fointama Nyongo, with whom I had much joy and struggles during my
course period in Dschang.
To Mr. Ewome Hardison for the hospitality he showed me all
through my stay with him in Njombé. Mr. Fongoh Wilson and Family, Mr.
Fonbah Cletus, Mr. Fondi Emmanuel for making me not feel homesick during this
period of intense stress.
DEDICATION
To my parents Mr. and Mrs. Azah who have relented none of their
efforts in seeing me through my educational career and to whom I owe much
To my brothers, Teku Elvis and Boubga Clifford and my sister,
Wansho Gilda for the
love and solidarity that we express towards each other
To Late Dr. Ambe Fokwa, for all the advice I received from him
during my years of work with him at the Department of agricultural Engineering
and may He find Profound Peace in the Almighty
TABLE OF CONTENTS
LIST OF TABLES xii
LIST OF FIGURES xiii
LIST OF ABBREVIATIONS, ACRONYMS AND SYMBOLS xiv
CHAPTER I INTRODUCTION 1
1.1 Background of the Study 1
1.2 Problem Statement 3
1.3 Objectives of the Study 4
1.4 Importance of the Study. 5
CHAPTER II LITERATURE REVIEW 7
2.1 Banana 7
2.1.1 Introduction 7
2.1.2 Ecology 8
2.2 Definition of some Terms and Concepts related to Irrigation
10
2.3 Evapotranspiration 13
2.3.1 Measurement of evapotranspiration 15
2.3.2 The Penman-Montheith equation 15
2.3.3 Meteorological factors determining evapotranspiration 16
2.4 Maximum Production 18
2.5 Pressurized Irrigation Systems 19
2.5.1 Sprinkler irrigation systems 19
2.5.2 Micro irrigation systems 20
2.6 Irrigation Scheduling and Management 21
2.6.1 Irrigation management 21
2.6.2 Irrigation scheduling 21
2.6.3 Importance of irrigation scheduling 24
2.7 Geographic Information Systems 24
2.7.1 Data acquisition and representation 26
2.7.2 Advantages and disadvantages of vector and raster data
28
2.7.3 Steps used for the putting in place of a GIS project 29
2.8 Databases 30
2.8.1 Database management systems 32
2.8.2 Relational databases 33
CHAPTER III MATERIALS AND METHODS 36
3.1 Description of the Study Area and Experimental Site 36
3.1.1 Geographical Location 36
3.1.2 Relief 36
3.1.3 Hydrology 36
3.1.5 Vegetation 39
3.1.6 Climate 39
3.1.7 Soils 40
3.2 Description of the Irrigation System at the PHP Group 40
3.2.1 Pumping station 41
3.2.2 The main line (Pipes) 41
3.2.3 Distribution network 43
3.3 Development of the Database for the Irrigation System 44
3.3.1 Data review 45
3.3.2 Entity and attribute identification 45
3.3.3 Table and key creation 46
3.3.4 Definition of relationships and referential integrity 47
3.3.5 Creation of data entry and retrieval forms 48
3.4 Development of thematic layers for the GIS 50
3.5 Calculation of the water requirements in each plot 51
3.5.1 System requirements 51
3.5.2 Crop requirement 52
3.6 Evaluation of the Functioning of the Network 53
3.6.1 Calculation of flow rates 54
3.6.2 Calculation of flow velocity and head losses. 54
3.6.3 Determination of available and required pressures 55
3.6.4 Calculation of piezometric elevations 57
3.7 Spatial Representation of some Aspects on the Irrigation
System 58
CHAPTER IV RESULTS AND DISCUSSIONS 60
4.1 Database for the Irrigation System 60
4.1.1 Physical model 60
4.1.2 Creation of forms 62
4.2 Thematic layers for the GIS 63
4.3 Water requirements in each plot 66
4.3.1 System requirements 66
4.3.2 Crop water requirements 67
4.4 Simulation of the Functioning of the Network 69
4.5 Spatial Representation of some Queries on the Irrigation
System 70
4.5.1 Spatial representation of crop coefficients 70
4.5.2 Spatial representation of some plot valves 71
4.5.3 Theissen polygon for rainfall heights on the plantation
72
CHAPTER V: CONCLUSIONS AND RECOMMENDATIONS 74
5.1 Conclusions 74
5.2 Recommendations 75
5.2.1 Improvement of the system 75
5.2.2 Further research 75
REFERENCES 76
APPENDICES 82
LIST OF TABLES
Table 2.1
|
Length of crop growth developmental stages for various planting
periods
|
Pages
|
|
and Climatic regions
|
14
|
2.2
|
Monthly KC values of Banana for tropical climate
|
15
|
2.3
|
Set of related fields in an irrigation system which form a record
|
31
|
2.4
|
Comparing DBMS and Relational DBMS (RDBMS) terms
|
32
|
3.1
|
Average annual precipitation of Njombé (2004-2008)
|
39
|
4.1
|
Thematic layers needed for water balance calculations
|
63
|
4.2
|
Thematic layers for non-descriptive data
|
64
|
4.3
|
Thematic layers for non-descriptive data ...
|
65
|
4.4
|
Probability of satisfaction of irrigation requirements
(requirements in mm)
|
68
|
4.5
|
Irrigation dose (mm) for two irrigation systems.
|
69
|
LIST OF FIGURES
Figure
|
Pages
|
2.1
|
Morphology of a banana plant...
|
8
|
2.2
|
One-to-one relationship of databases.
|
35
|
2.3
|
One-to-many relationship of databases.
|
35
|
3.1
|
Geographical location of Njombé
|
37
|
3.2
|
Aerial view of PHP cultivation areas in the Njombé
Plantations
|
38
|
3.3
|
Monthly rainfall histogram for Njombé in 2008
|
40
|
3.4
|
Principal Irrigation Pipes at the PHP group
|
42
|
3.5
|
Architecture of the GIS database
|
45
|
3.6
|
Creation of table in design mode in MS access
|
46
|
3.7
|
Definition of relationships in the physical data model
|
.48
|
3.8
|
Selecting fields to be included in the production plot form under
the form
|
|
|
assistant mode
|
..49
|
3.9
|
Irrigation map for a production plot developed with AUTOCAD 2004
|
51
|
3.10
|
Query created in MS access to obtain the water requirements of
the system
|
52
|
4.1
|
Presentation of the physical model of data as developed in MS
Access
|
.61
|
4.2
|
Form for data entry and retrieval for the production plot
|
.62
|
4.3
|
System water requirement as calculated in MS access
|
.66
|
4.4
|
Sensibility of various plots to water stress with respect to
Kc
|
71
|
4.5
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Plot valves for two irrigation plots ...
|
...72
|
4.6
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Repartition of rainfall depths in the plantation
|
73
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LIST OF ABBREVIATIONS, ACRONYMS AND SYMBOLS
BLOB: Binary Large Object
cp: Specific heat of the air
CSQL: Compact Standard Query Language
D: Zero plane displacement height [m],
DBMS: Database Management System
ea : Actual Vapour Pressure [KPa]
es: Saturation Vapour Pressure[KPa]
ESRI: Economic and Social Research Institute
G: Soil heat flux
GIS: Geographic Information System
INGRES: Intelligent Graphic Relational System
JPEG: Joint Photographic Experts Group
P: Depletion factor
PHP: Plantations du Haut Penja
PS: Photosynthesis
ra: Aerodynamic Resistance [sm-1],
RAW: Readily Available Water
RDBMS: Relational Database Management System
RGB: Red, Green, Blue
Rn: Net solar radiation
rs: Bulk? Surface Resistance
SPM : Société des Plantations de Mbanga
SQL: Standard Query Language
TIF: Tagged Image File
ã: Psychometric Constant
Ä: Slope of the saturation vapour pressure temperature
relationship
ña: Mean air density at constant pressure
Zm height of wind measurements [m],
Zh height of humidity measurements [m],
Zom: roughness length governing momentum transfer [m],
Zoh: roughness length governing transfer of heat and vapour
[m],
K: Von Kerman`s constant, 0.41 [-],
Uz: wind speed at length at length z
[ms-1].
CHAPTER I INTRODUCTION
1.1 Background of the Study
Bananas are presently the world`s fourth most important food
commodity in terms of gross value of production (Lemeilleur et al.,
2003). Banana cultivation is a major source of foreign exchange and
continues to be one of the principal agricultural activities for most
developing countries of Africa, Latin America and the Caribbean. World
production of bananas (dessert and plantain bananas) is estimated at some 40 to
60 million tons. Some 7-8 million tons (mostly dessert bananas) are exported to
the developed countries yearly (Pedro et al., 2003). The banana
industry has been designed and oriented almost exclusively towards the export
market (Yamileth, 1998). As merchandise for exportation, bananas contribute
principally to the economy of a number of countries with low income, such as
Ecuador, Honduras, Guatemala, Cameroon, Ivory Coast, and the Philippines (Pedro
et al., 2003).
About 700 000 tons of bananas are produced annually in
Cameroon by three main companies: the Plantation du Haut Penja? (PHP) Group,
Del Monte, and the Société des Plantations de Mbanga? (SPM)
(Anonymous, 1998). This production yielded 103 billion FCFA during the
2001-2002 financial years for an investment of 12 billion 108 million FCFA
(Anonymous, 2003).
The production of this crop at an industrial scale entails the
use of much water. Farms require water for irrigation in the dry season and
packing stations use water for washing bananas. Fonteh and Assoumou (1996)
describe irrigation as the supply of water to crops in a climate in which
rainfall does not meet the crop water requirements during all or part of the
growing season. Tiercelin (1997) defines irrigation as the artificial use of
water to ameliorate yields or crop production. The same author states that more
than one-third of the world`s food is produced through irrigated agriculture.
About 280 million ha of land are irrigated around the world with an annual
increase of four to five thousand hectares yearly (Rieul et al.,
1992).
Irrigation could be total or supplemental. In total
irrigation, provision is made for all plant water needs. This is the case in
regions where no rainfall can be relied upon during all
or part of the crop growing season. Supplemental irrigation is
practiced in areas where a crop can be grown by natural rainfall alone, but
additional water improves yields and quality (Fonteh and Assoumou, 1996). The
following are reasons why crops could be irrigated:
1. Supply water for plant growth where none could grow before or
to get better growth or extend the growing season, all leading to increased
yields.
2. To improve quality (Robinson, 1981).
3. As an insurance policy against drought such that if water
will affect the returns on high investments on seeds, fertilizers, etc., then
irrigation is planned for.
4. Sprinkler irrigation is used for temperature control:
· Frost protection: in very low temperatures, the water
from a sprinkler on plants freezes, giving off the latent heat of fusion.
· Evaporative cooling: in hot weathers, water from
sprinklers evaporates, absorbing the latent heat of evaporation form the
atmosphere around the plants, leading to a drop in temperature.
5. To leach unwanted salts building up in the top soil.
6. Reduce soil strength at the start of the dry season for
easy cultivation.
7. For the application of chemicals (chemigation) or fertilizers
(fertigation). Robinson (1981) presents the following specific advantages of
irrigating bananas:
· Well irrigated banana plants have turgid pseudostems, are
vigorous, with a high resistance to wind and diseases;
· Irrigation favors the application of fertilizers
especially during dry periods;
· The life span of an irrigated banana plot is higher than
that of a non irrigated plot;
· Irrigation promotes the continuous production cycle of
bananas;
· Irrigation improves the quality of fruits, increases
the length and width of banana fingers, helps in obtaining higher grades and in
the development of large bunches (15 to 18 hands).
In Cameroon, bananas are irrigated during the dry seasons.
During these periods, there is little or no rainfall to provide the plant water
requirements (Ewane, 2008). Irrigation is therefore resorted to as a means of
supplying the crop water requirements and
to improve the yield and quality of bananas during these dry
periods. Robinson (1981) showed that yields increase by 20-30 tons per hectare
of banana in Natal, South Africa when additional water was supplied at fourteen
days intervals. Further increase from 60-80 % in extra quality was recorded
compared to non- irrigated banana plantations. Three forms of irrigation are
currently practiced in banana plantations around the world namely; surface
irrigation, sprinkler and drip irrigation (Stover and Simmonds, 1987). Trials
in South Africa have shown that drip and micro sprinkler irrigation systems
have each outperformed the others irrigation systems in yields and in water
economy (Robinson and Alberts, 1987).
Many new technologies, such as remote sensing, geographic
information system (GIS) and expert system, are now available for application
to irrigation systems and can significantly enhance the ability of water
managers (Mennati et al., 1995, Ray and Dadhwal, 2001).
There exists a global water crisis in the world in this
century. Conscious of the situation of water crisis and other alarming
statistics around the world, the Plantation du Haut Penja (PHP) attaches
importance to the efficient management of its water resources. AQUASTAT (2009),
for example, shows that, of the total water available on the earth`s surface,
97.5% is salt water and only 2.5% is fresh water. Of this 2.5% freshwater, 99%
is locked up in glaciers, icebergs or underground and only 1% is available to
the nearly seven billion humans and billions of other forms of life. It further
gives a closer look to the situation in the Lake Chad area, which was once a
landmark for astronauts circling the earth, but now difficult to locate.
Surrounded by Cameroon, Chad, Niger, and Nigeria, the lake has shrunk by 95 %
since the 1960s (AQUASTAT, 2009). The soaring demand for irrigation water in
this area is draining dry the rivers and streams the lake depends on for its
existence. As a result, Lake Chad may soon disappear entirely, its whereabouts
a mystery for future generations. With this limited freshwater resource and the
increasing competition for the resource, irrigated agriculture worldwide must
improve the utilization of these water resources (Molden et al.,
1998).
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