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FLOOD HAZARD AND RISK ASSESSMENT THROUGH INCORPORATING GISWITH HYDRODYNAMIC MODELLING: CASE STUDY OF MUDA RIVERbyRABIE A. A. HUSSEINThesis submitted in fulfillment of the requirementsfor the degree of Doctor of PhilosophyDecember 2009

ACKNOWLEDGEMENTSALHAMDULLILAH. Praise to ALLAH SWT ALMIGHTY AND MOST MERCIFUL forthe successful completion of this researchMany people have assisted me during my doctoral graduate research, and I amgrateful to them. I would like to thank my supervisors, Prof. Dr. Aminuddin Ab.Ghani, Prof. Dr. Nor Azazi Zakaria and, Assoc. Prof. Sr. Dr. Mohd Sanusi S.Ahamad for their help, guidance and encouragement throughout my research andwriting.I would like to express my appreciation to all the staff in River Engineering andUrban Drainage Research Centre (REDAC) and Universiti Sains Malaysiaespecially the Institute of Postgraduate Studies for the fellowship granted to me.Thanks to Mr. Osama Abu Libda for giving all numerous valuable advices duringstudy.I wish to thank my family, especially my father, for all their support throughout theyears and for the value they've placed on education. Finally, my sincerest thanksgo to my wife, Heba, for the unconditional support and cortinual encouragementthroughout and for understanding my needs. Thanks for all the loving sacrifice.Rabie AliDecember 2009ii

TABLE OF CONTENTSPageACKNOWLEDGEMENTSiiTABLE OF CONTENTSiiiLIST OF TABLESviiLIST OF FIGURESxiLIST OF ABBREVIATIONxiiiLIST OF SYMBOLSxivABSTRAKXVABSTRACTxviiCHAPTER ONE: INTRODUCTION1.01.1Background-- Flooding and Flood Management in -Muda River131.2Problem Statement101.3Research Objectives101.4Research Scopes111.5Organization of the Thesis11CHAPTER TWO: HYDROINFORMATICS IN FLOOD RISK MANAGEMENT2.0Background142.1Hazard, Risk and Flood Risk Management152.1.1Risk Analysis192.1.2Risk Assessment192.1.3Risk Planning202.2Modern Approaches of Flood Risk Assessment222.3Hydroinformatics24iii

2.4Numerical Flood Simulation282.4.1 Model Categorization2.4.2 Model Selection3033342.5One-Dimensional Flood Modelling Approach2.62.7Flood MappingTypes of Flood Hazard Mapping382.7.1 Flood Extent Maps2.7.2 Flood Depth Maps392.7.3 Maps of Other Flood Parameters2.7.4 Flood Danger Maps39402.7.5 Exposure and Coping Capacity Maps (Damage Maps)404243442.7.6 Qualitative Flood Risk Maps2.7.7 Risky Places Maps (or Approximation Maps)2.83537SummaryCHAPTER THREE: DESCRIPTION OF STUDY ology and soil3.53.63.7River GeomorphologyEcology & EnvironmentAnthropological ActivitiesSummary4646485051535761CHAPTER FOUR: RESEARCH METHODOLOGY4.04.14.2Background62Data Acquisition6467Data Managementiv

4.2.1 Data Representation674.2.2 Data Registration and Georeferencing77Data Analysis784.3.1 Qualitative Flood Behavior Analysis784.3.2 Quantitative Flood Behavior Analysis824.3.3 Model Synthesizing904.4Model Calibration and Verification934.5Flood Hazard Assessment934.5.1 Hazard Mapping944.5.2 Flood Return Period and Exceedance Probability964.6Flood Risk Assessment984.7Risk Communication1024.3CHAPTER FIVE: RESULTS & DISCUSSION5.0Background5.1Geomorphological Characterization1041045.1.1 Sinuosity Analysis1045.1.2 Channel Profile Analysis105Flood Behavior Characterization1145.2.1 Flood Simulation & Analysis1145.2.2 Model Calibration1175.2.3 Running the Simulation119Flood Risk Analysis1245.3.1 Flood Depth Mapping1245.3.2 Flood Return Period1325.4Flood Risk Assessment1385.5Impacts of Flood Management1405.25.3v

CHAPTER SIX: CONCLUSIONS & 146BIBLIOGRAPHY148PUBLICATION LIST158APPENDICESvi

LIST OF TABLESPage2.1Types of River Channel Hazards (Downs and Gregory, 2004)162.2Comparison between Different Hydraulic Software Packages32Commercially Available in the Market2.3Recent scientific studies and national works on flood risk44mapping in Europe (Modified from Koivumaki, et al., 2010)4.1Data Type and Specification664.2Characteristics of Landsat 6 Imagery Data674.3Characteristics of SPOT 5 Imagery Data674.4Spatial data representation and their relevant geographic attributes68-in the study area4.5Roughness values for Land use Features in the Study Area,88Muda River4.6Water Depth Classes Suggested by the Japanese Flood Fighting Act 2001944.7Flood Damage Factors for Agricultural and Houses1004.8Unit values of properties and crops1014.9Total Estimated Flood Damage for a Flood Event1025.1Simulated Inundation Areas according to Land Use Categories1215.2Simulated Inundation Areas for Urban Areas during 6th October1242003 Flood5.3. The reference damage factors for each land use classification category128used for risk mapping in Muda river based on JICA 1999, 2000vii

5.4Summary estimates of flood damage on agriculture and urban land139use categories5.5Economical Damage estimates of urban land use sub-categories139viii

LIST OF FIGURESPage1.1Three Controls of River Morphology and Behavior: Upstream,Downstream and Local (Schumm, 2005)42.1Elements of an Integral Risk Management as Proposed byAmmann (2006)182.2Framework for the Integral Risk Management as Proposed byAmmann (2006)182.3Risk Cycle and Possible Measures for Risk Reduction and Mitigation(Ammann, 2006)212.4Classification of flow as Steady and Unsteady312.5Model-based selection criteria (Ewbank eta., 2001)332.6Types of flood damage (Sturgess, 2000)413.1Topographic map of Muda River. basin473.2Mean annual rainfall isohyets of Muda River basin493.3Soil Type in Muda River Basin513.4Nipah trees are widespread along Muda River523.5Topography of Muda River as shown from Google earth543.6Flood inundation area in P.Pinang and Kedah(9-10 October 2003)553.7Riverbed gravel materials563.8Riverbed sand materials at the Muda River mouth573.9Land use Classification of the Study Area, Mud a River584.1Overview of the road map of research methodology in this study624.2Collected field GPS samples in X, Y coordinates68ix

4.3Space imagery used to extract and classify the land cover/land use69activities in the study area4.4Image supervised classification map of land use/land cover units of70the study area performed by ENVI image processing software4.5Map features and attributes of the geographic features of urban70land use in the study area4.671Map Features and attributes of the geographic features ofagricultural land use and natural vegetation land cover in the studyarea4.73D digital surface representation of the study area in TIN format724.83D digital surface representation of the study area for flood73mapping purpose (2009)4.9Extrapolation of water levels from the 1D model and the irregular74terrain topography ( 1D modeling approach)764.10 Representation of ground surface roughness of the studyarea attributes synthesized from lnfoWorks RS4.11 Channel planform characterization measures based on number80of channels, sinuosity and lateral stability (source: Brierley andFryirs, 2005)4.12 Classification of channel types (after Rosgen 1994)81'·4.13 Location of the 261 Cross Sections along Muda River Sub- basin Model844.14 typical cross sectional profile of chainage downstream 200m844.15 Model input hydrograph (Upstream)854.16 Tidal information for Muda River (downstream) (Julien et al., 2006)85X

4.17 Schematic representation of river cross-section against thedistribution of ground roughness zones at chainage (a) CH39.50 andchainage (b) CH15.00874.18 Scheme of data processing in synthesizing the GIS flood model914.19 Flowchart of database development, management and geoprocessingadopted in the study964.20 Work flow of 100 year flood probability modeling used in the study985.1Comparisons of the Present Cross-Section (New Bridge) and theCross-Section from the Year 1993 (Old Bridge) (Julien et al., 2006)1065.2Change to the Longitudinal Profile of the Muda River1065.3Changes in the land use and land cover of the Muda area during theperiod1984-20011075.4Channel Adjustment in Response to Urbanization as Hypothesized byRoberts (1989) (Source: Brierley and Fryirs, 2005)1095.5Geomorphic adjustments (responses) to the land use change bydeforestation activities modified after Brierley and Fryirs, 2005)1115.6Distribution of Sand Mining in Muda Channel, Kedah State1135.7Flood peaks of the Mud a River from 1960 to 20051145.8Flood Frequency Analyses for the Muda River@ Ladang Victoriabased on Gumbel Extremal Type I for discharge data of 1960 to 20051155.9A schematic representation of the river's cross-section against thedistribution of ground roughness zones at (a) CH 39.50 and(b) CH 15.001165.1 0 A comparison between the predicted and observed water l vel valuesat (a) CH 14.0 and (b) CH 41.2.1185.11 Real time geographical visualization of the 2003 flooding event asprocessed in lnfoWorks RS (CH 28.00-CH 31.00)1195.12 Maximum flood depth for the existing channel indicating the bundrequirement (CH 34.4)1205.13 Hydrograph of the 1984 Flood121 i

5.14 December 2005 peak flow flood (CH 15.00- CH 20.00)1225.15 October 2003 peak flow flood (CH 15.00- CH 20.00)1235.16 Simulated Depth Map during 6th October 2003 Flood1255.17 Flow Chart for Flood Damage Computation1275.18 Flood hazard map of urban areas of Muda River1295.19 Flood hazard map of Wet Paddy of Muda River1305.20 Flood hazard map of Rubber &Oil Palm of Muda River1315.21 Comparison of Design and Observed Hydrograph (Julien et al., 2006)1325.22 Existing cross section CH33.8 for the flood event 20031345.23 Design cross section CH33.8 for the flood event 2003134-.5.24 Long sectional profile for 2003 flood of the existing cross sections1355.25 Long sectional profile for 2003 flood of the design cross sections1365.26 Design cross section CH33.8 for the for 100 design hydrograph1365.27 Design hydrograph in consideration of climate change effect1375.28 Design long sectional profile138xii

LIST OF ABBREVIATIONAverage recurrence intervalCH FCRP Flood Control Remediation PlanDIDDepartment of Irrigation and DrainageGPS HEC Hydrologie Engineering CentreICT Information communication technologyJICA Japan international cooperation agencyKEDA Kedah Regional Development WSPROChainageEarth ObservationFlood frequency analysisFull Equations ModelGeographic information systemGlobal positioning systemLight Detection and RangingRelational database system managementRemote sensingsupervisory control and data acquisition systemsSatellite image databaseFlow duration frequencyA one-dimensional unsteady state hydraulic modelA computer model for Water-Surface PROfile computationsxiii

LIST OF SYMBOLSSymbolDefinitionAcross sectional area of flow (m 2 )Bstream top width (m)gGravitational accelerationvcross-sectional average velocity (m/s)kn1.486 for English units and kn 1.0 for Sl unitsnManning coefficient of roughnessRhydraulic radius (m)ssslope (m/m)Lchannel length (m)Sinuositystraight-line valley length (m)ystage (m)QDischarge (m 3/sec)qLateral flow into the channel per unit length of channelXDistance along the channel(m)ttimes,Friction slopeKconveyanceRhydraulic radiusTThe return periodxiv

BAHAYA DAN PENILAIAN RISIKO BANJIR BERDASARKAN GABUNGAN GISDENGAN PEMODELAN HIDRODINAMIK: KAJIAN KES DARIPADA SUNGAI MUDAABSTRAKSungai Muda telah menghadapi banjir bermusim dan mengakibatkan kerosakanyang serius dan menjejas tahap ekonomi dengan memusnah penempatan pendudukdan harta benda di kawasan tadahan Sungai Muda. Banjir pada tahun 2003merupakan peristiwa yang paling membinasa berlaku dalam sejarah kawasan tadahanSungai Muda. Perubahan dari segi geomorfolgi, kelakuan banjir dan impak kepadaSungai Muda telah dikaji dalam kajian ini dengan pengintegrasian antara pakejperisisian khusus dan teknik permodelan komputer untuk menjangka dalammeramaldanmenghubungkan dengan risiko banjir. Kekasaran permukaan tanah telah dibangunkanmelalui beberapa lawatan tapak di kawasan kajian. Kekasaran permukaan inimerupakan satu input yang amat panting bagi permodelan hidraulik. Keputusandaripada penyelakuan model hidrodinamik satu dimensi menunjukkan kawasan yangluas telah ditenggelami banjir di sekitar dataran banjir dan juga kerosakan teruk padakawasan yang berciri-ciri penempatan penduduk dan kegunaan tanah pertanian.Penilaian bencana dan analisis risiko pada dua jenis gunaan tanah menunjukkanbahawa kerugian ekonomi pada banjir tahun 2003 (RM 27.6 juta) adalah setinggi limakali ganda berbanding dengan banjir yang sebelum ini (1982) bagi tempoh 20 tahun(RM 3.87 juta). Kerugian yang besar ini boleh dihubungkan dengan perubahanperubahan dramatik pada sistem sungai yang mempunyai sejarah dan kontemporariXV

eksploitasi manusia yang tidak mapan di kawasan tadahan Sungai Muda ini, iaitudengan peningkatan kerentanan terhadap bencana hakisan dan penurunan kekasaranpermukaan tanah. Model bagi peristiwa banjir kala ulangan 100 tahun juga telah dibinauntuk menilai keberkesanan pembinaan ban bagi menampung kenaikan paras banjirsemasa berlakunya banjir besar. Penyelakuan model telah menunjukkan bahawa rekabentuk ban yang dicadangkan mempunyai kapasiti yang cukup untuk menampung airbanjir dengan kapasiti tambahan setinggi 1.5 m. Hasil keputusan permodelanmenunjukkan pembinaan ban dapat mengurangkan risiko banjir ke status sitar, danseterusnya akan melindungi kegiatan manusia yang berada di dataran banjir. Padajangka panjang, sungai ini mungkin mengalami penyesuaian geomorfik tanpadipengaruh oleh bencana banjir; akan tetapi di masa hadapan latidakstabilan luar biasa·sa luran dan penyesuaian ·geomorfik mungkin bertarilbah besar dan dengan demikianberlakunya peristiwa banjir di kawasan kajian. Pemodelan komputer yang dilakukandalam kajian ini dapat meningkatkan lagi pemahaman tentang perilaku jangka panjangdan perilaku banjir di Sungai Muda.xvi

FLOOD HAZARD AND RISK ASSESSMENT THROUGH INCORPORATING GISWITH HYDRODYNAMIC MODELLING: CASE STUDY OF MUDA RIVERABSTRACTMuda River has been for many years experiencing seasonal floods and causingserious damage and economical loss to human settlements and property in the Mudabasin. The 2003 flood was the most devastating event throughout the history of theriver. The geomorphological changes, flood behavior and impacts of the udaRiverhave been investigated in this study using integration of specialized software packagesand computer modeling techniques to envisage the consequent changes projected onthe river, and assisting in predicting and communicating the flooding risk. Groundsurface roughness was delineated through several field visits to the study area. Thisground roughness acts as a significant input data for hydraulic modeling purpose. Theresults of one-dimensional hydrodynamic modeling showed a wide spatial extension offlooding inundation in the vicinity of the floodplain, and indicated damage severity onhouseholds and agricultural land use features located in these highly inundated areas.Hazard assessment and risk analysis on these two land use types revealed that theeconomical damage of the 2003 flood (RM 27.6 million) was five times than that of thelast flood (1982) in a 20-year-period (RM 3.87 million). This enormous loss can beattributed to the dramatic changes imposed on the riverine system by much historicaland contemporary unsustainable human exploitation of the Muda basin land assets,increasing its vulnerability to erosion hazards and decreased ground surfaceroughness. The 100-year flood event model was also reconstructed in order toxvii

investigate the effectiveness of the proposed bund in controlling the increase in waterdepth during extreme flooding conditions. The modeling indicated that the proposedbund has enough capacity to contain safely the flood water, with an additional capacityof containing extra 1.5 m of flooding water without exceeding the breaching point. Themodeling result also suggests the effectiveness of the proposed bund structure inreducing the flooding risk, protecting thereby the human activities in the floodplain. Onthe long run, the engineered river may experience localized geomorphic adjustmentswithout initiating flood hazard; but under futuristic extensive and extraordinary channelinstabilities, geomorphic adjustments may become magnified, initiating thereby floodingevent in the study area. The computer modeling performed in this study improved theunderstanding of the long-term behavior of Muda River and its flooding behavior.xviii

CHAPTER ONEINTRODUCTION1.0BackgroundNatural hazards, as one of the elements of global ecodynamics, arecaused by natural processes independent from the existence of the humans.Natural disasters can arise from weather patterns (e.g. tornadoes, storms, floods,and hurricanes.), changes in Earth's crust (e.g., earthquakes, volcanoes, andlandslides) and climatic conditions (e.g. droughts, bush fires, cold snaps, etc.).Natural risks result from natural hazards when humans are exposed to them(Proske, 2008; Kondratyev et al., 2006). Since the earliest emergence ofcivilization on Earth, the humans have described natural disasters, such as theNoah's flooding in The Holy Quran. Flood disasters, either driven by natural orman-made forces, account for about a third of all natural disasters by numberand economic losses and are responsible for over half the deaths on a globalscale. In the poor and heavily populated Asia, flood disasters continue to causethe largest number of deaths. The global factors that might govern the futureprospects for flooding are related to population growth, press'ure on land use,climate change and insurance market response. Unfortunately, flood disasters'share in insured losses is relatively small, with an average of fewer than 10%(Knight, 2006). As the fast developing Asian countries face pressures of urbanexpansion and demand for more floodplain to be developed, they are expected tocontinue setting up flood management for the sake of community safety,sustainable development and resource management.1

Flood hazard is the only significant natural hazard that affects PeninsularMalaysia (Chan, 1993). Flooding is a byproduct of the interaction between anatural events system and a human use system. Continuous changes in land useand climate affect the geomorphology of river systems (Toy et al., 2002; Houbenet al., 2006). Aside from natural causes, the rapid development of modernMalaysia is causing changes in the natural hydrological regime which could havevery serious consequences if not foreseen and allowed for in the design ofdevelopment (Toebes and Seng, 1975). Flooding is a serious problem inMalaysia where drainage systems are poor and there exists a relatively highwater table and flat topography. Many anthropogenic land use patterns (e.g.agriculture, industrialization, commercial, residential) are concentrated alongrivers· and in the vicinity of floodplains and submergible areas throughoutMalaysia; thus are seriously subjected to the flooding catastrophes over the time.In the light of Malaysia's 2020 vision to be an industrial nation, more and morefloodplain areas are expected to be developed, thereby exposing even morepeople and property to flood risk. This necessitates the need to set up efficientand effective flood management schemes and initiate engineering projects onnational scale to alleviate the imposed risk to an acceptable level.Dealing with flood management necessitates dealing with a huge amountof datasets; be they environmental, technical, economic, or social. Experienceshows that increasing complicated problems in flood management entails theneed for an integrated view, multidisciplinary methodology and smart solutions2

that are no longer simple to generate or implement. The complexity in floodmanagement needs, therefore, to be uncovered, comprehended and its ooddecision-making/management feasible, efficient and effective. Fortunately, the modern,revolutionized digital technologies and the advent of computer-based hydromodeling come to fulfill this requirement -hydroinformatics as emergingtechnology. The application of this technology becomes important in hydraulicsstudies and provides value as it relies on physical sciences, natural sciences,ICT and social awareness (i.e., sociotechnology) (Price, 2006; Abbott et al.,2005).1.1Flot ding and Flood.Management in Muda River·Floods are extreme natural phenomena that develop slowly and affectgradually on the environment. With increased in global warming, large-scalefloods are possible in wider territories (Kondratyev et al., 2006). Flood hazardhas been and will continue to be a threat for Malaysians, especially whenhumans choose to occupy floodplains, ignore the dangers of such hazard zones,over-develop land and deplete natural resources at rates that natural system canneither cope with nor adapt to. The damages for an annual flood, a 10-year floodand a 40-year flood are estimated to beRM 3 million, RM 18 million and RM 44million respectively (Chan, 1993).Stream channels are complex systems in space, time and causality (Laneand Richards, 1997). A change often triggers another, causing multiple3

responses to a single influence (Schumm, 1977). In fluvial systems, variability inthe river's behavior and response to natural and anthropogenic activities issubject to three types of controls (Schumm, 2005): upstream, downstream andlocal, as illustrated in Figure 1 .1 .UPSTREAM CONTROLSClimate(Hydrology)Local ControlsBedrock-AlluviumTributariesActive TectonicsValley MorphologyDOWNSTREAM CONTROLSFigure 1.1 Three Controls of River Morphology and Behavior: Upstream, Downstreamand Local (Schumm, 2005)According to Figure 1.1 , river response to human impacts will varydepending upon sediment characteristics, climate and the type of river, whichresults in uncertainty and unpredictability concerning the effect of controls(Phillips, 2002). Generally, for important land use changes, deforestation,afforestation and urbanization, experimental data interpreted for use under4

Malaysian conditions indicated to the following observations (Toebes and Seng,1975):I. Land use changes have at least as great an effect on the hydrology as intemperate zonesII. onafforestationIll. peak flows and flood volumes increase (for smaller catchments) upondeforestation and urbanizationIV. Low flows and high water table due to high infiltration rate increase upondeforestation but tend to do the reverse upon urbanizationMuda River 1s a major source for water supply and sand mining for thenorthern states of Malaysia. It has been affected dramatically by unsustainablehuman activities that sacrificed environmental values for the sake of nationaldevelopment. The land draining into this river has been rapidly changing andcleared for agriculture, industrial and urban development. Forested areas arereduced. This has been caused by the growth of population size. These activitiescontribute to the increase in the amount of runoff entering the river and therebyexposing the population to the risk of flooding. Considering these disturbancesand the complexity and variability can a river reach over the time and space, asperceived earlier in Figure 1.1, one can stereotype the dramatic scenario of theconsequences in changing Muda River's flooding behavior as a result of itsnatural response to the changing controls.5

Significant damages and losses of property, life and money had beenassociated with flood disasters in Malaysia. Muda River experiences floodsalmost every year (recurrent event), each differing only in their magnitude. TheOctober 2003 flood saw 45,000 people affected with catastrophic damages.Many problems were associated with catastrophic flood of Muda River includingriverbank erosion, river pollution and reduction of water resources. (JICA, 1995).The appearance of conditions of danger to Muda River community ismainly connected with the probability of the flooding catastrophe as a result ofpoor landscape management. The catastrophe threatens human life andtherefore their prevention through formalized prediction is a necessary element ofsafe arid sustainable development of Muda basin iri future.The importance of sustainable development of the valuable riverinesystems of the nation must be recognized. The Malaysian government initiatedand generously allocated resources for a new "Flood Control Remediation Plan(FCRP)" devoted to study, design and implement flood mitigation projects in theMuda River district. The plan aims at better understanding of the dynamics ofMuda River's flooding, defining options for flood loss prevention, design criteriafor proposed mitigation measures and plot a strategy for flood management forKedah State's vulnerable resources. The proposed mitigation works ·werestructural and nonstructural, and ranged from changing river geometry, design6

discharge and bund height, channel realignment, flood diversion to constructingpiers and bridges. (JICA, 1995)Given that the current proposed FCRP flood mitigation (control) projects inMuda River are expected to change the. flooding behavior of the river in future (inreference to the conceptual view shown in Figure 1.1 ), it is important toinvestigate and predict these behavioral changes and their spatia-temporalconsequences in terms of project investment, feasibility and impact assessment.Knowing the character and predicting the behavior of meandering rivers isalso important for sound management and planning, especially as rates of downvalley migration and lateral channel shifts occur, both on spatial and temporaldimensions (Richards et a/., 2005). As development of infrastructure indeveloping Asian countries is the most damaged by natural disasters such asflooding, the problem of risk reduction due to infrastructure transformation turnsvery important. The solution to this problem is connected with optimizingprocesses of the use of land resources and working out ecological strategies.Furthermore, quantitative and qualitative dynamism in urban development leadsto an overproportional increase in the vulnerability of such territories to floodingrisk. This situation is provoked by either the economic interests or socio-politicalfactors, when a large number of people are concentrated in a small area, whichdrastically increases the risk to human life (Krapivin and Varotsos, 2007).7

Therefore, the problem of regional infrastructure optimization is becoming withthe passage of time more urgent (Gurjar and Leliveld, 2005).Risk as a measure of danger can serve as a guideline to resolve theproblem of controlling a set of circumstances that can disturb human habitats andchange conditions for the functioning of society. This includes getting estimatesof the levels of adversity for many different aspects. At the same time, risk alsohas a subjective constituent which can be measured with the help of formalmethods of decision-making that take into account intuitive assessment of thesituation and psychological norms of perception of the environment. Furthermore,optimizing the risk to insurance industry from natural disasters becomes every·year an ev.er more urgent problem, since economrc losses ·are on the increase .and are almost unpredictable. Evaluation of the risk and subsequent damagerequires interdisciplinary analysis of a vast amount of information (Krapivin andVarotsos, 2007). This requires the flood expert to deal with a huge, complexcomputer databases relatingtothemany physical,natural,technical,economical, social and environmental aspects of flood risk.Many types of flood controlling approach are being practiced in differentflood-prone river basins. One of these is using hydroinformatics as an integratedflood management system to assist decision makers in encountering the issuesof complexity in watershed hydrology, river hydraulics and environmentalaspects. Computer modeling used in hydroinformatics can greatly improve the8

understanding of the long-term behavior of Muda River and its flooding behaviorin the pre- and post Flood Control Remediation Plan (FCRP) phases. This willassist the concerned parties on perceiving the level of insurance might beprescribed for a successful flood management project and, therefore, resolvingurgent or potential problems that might arise on the long run, and/or earlier in theproject cycle.The current thesis, therefore, comes to explore and address thesechallenges and investigate the use of hydroinformatics in studying the naturalanthropogenic interactions and their influence on the flooding behavior of MudaRiver and the subsequent impacts upon implementing flood managementstrategies. This research's interest comes in line with the global trend ofinvestigating the importance of the interconnection of human living standards andnatural process of flooding in the eye of digital technology. The state-of-the-artdevelopments of hydroinformatics have significantly enhanced the ease withwhich computer model predictions can be computed and communicated. Its toolsaim at solving the problems of water engineering issues as a single entity withavailable geospatial dataset collected, stored and processed by means ofGeographic Information System (GIS), Global Positioning System (GPS), remotesensing and ground surveys. With the aid of hydroinformatics techniques insimulating and predicting the consequences and assessing the impacts, theoutputs of this thesis will hopefully assist in optimizing the process of floodcharacterization, in improving the flood management practices, in playing as a9

feedback for these practices, in stereotyping negative-change consequences,and in defining suitable alternatives to mitigate the negative effects in a sustainedmanner.1.2Problem StatementThe flood event of 2003 of Muda River in Kedah State is considered asthe most damaging flood event within the last 50 year. Since that time naturaland land use changes have been affec

4.2.1 Data Representation 67 4.2.2 Data Registration and Georeferencing 77 4.3 Data Analysis 78 4.3.1 Qualitative Flood Behavior Analysis 78 4.3.2 Quantitative Flood Behavior Analysis 82 4.3.3 Model Synthesizing 90 4.4 Model Calibration and Verification 93 4.5 Flood Hazard Assessment 93 4.5.1 Hazard Mapping 94 4.5.2 Flood Return Period and Exceedance Probability 96

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