Index

Water Management and Sustainability in Asia

ISBN: 978-1-80071-115-0, eISBN: 978-1-80071-114-3

ISSN: 2040-7262

Publication date: 12 July 2021

This content is currently only available as a PDF

Citation

(2021), "Index", Alias, N.E., Haniffah, M.R.M. and Harun, S. (Ed.) Water Management and Sustainability in Asia (Community, Environment and Disaster Risk Management, Vol. 23), Emerald Publishing Limited, Bingley, pp. 187-193. https://doi.org/10.1108/S2040-726220210000023006

Publisher

:

Emerald Publishing Limited

Copyright © 2021 Emerald Publishing Limited


INDEX

Accumulation (ACC)
, 68, 84

Additive scaling parameter
, 15

Aggregation
, 26, 28

Agricultural indicator
, 113–114, 118

Agricultural lands
, 183

American Standard Code for Information Interchange format (ASCII format)
, 40, 156

Anak Galas river
, 183

Ant colony algorithm
, 88

ArcGIS Server platform
, 35–36, 38

Artificial neural networks (ANNs)
, 88, 143 (see also Cuckoo search optimisation neural network (CSONN))

Backpropagation (BP)
, 88

Below detection limit (BDL)
, 180

Best Management Practices (BMPs)
, 55

Beta function
, 29

Bias correction method, evaluation of
, 71

Big data (see also Hydrological big data)

approach
, 142

global case studies on big data applications in water resource engineering
, 142–146

limitations and disadvantages
, 146

potential of big data applications for managing water resources in Malaysia
, 144–146

theoretical considerations
, 144

Black box model
, 88

Board of directors (BOD)
, 114

Bukit Matuh (BM)
, 92

Campus university
, 130

Chemical pollution
, 174

Chiku sub-catchment
, 183

Climate analytics-as-a-service (CAaaS)
, 143

Climate change
, 66

data collection
, 67–68

methodology
, 66–70

result
, 71–75

RRI model
, 69–71

statistical bias correction method
, 68–69

study area
, 66–67

Climate data
, 142

Coefficient of correlation
, 93

Coefficient of efficiency
, 93

Communal irrigation systems (CIS)
, 113

Composite indicator
, 26, 28

Contamination
, 152

Control system
, 78

Copula models
, 46

Cost analysis
, 127, 129–130

Cropping intensity (CI)
, 114–115

for CISs
, 121

for Padada RIS
, 122

Cuckoo search algorithm (CS algorithm)
, 88–90

Cuckoo search optimisation algorithm (CSO algorithm)
, 88–89

Cuckoo search optimisation neural network (CSONN)
, 89–91

CSONND1 model
, 93

CSONND2 model
, 93

CSONND3 model
, 93

CSONND4 model
, 93

CSONND5 model
, 93

methodology
, 92–94

results
, 94–96

study area
, 91–92

Cuculus canorus
, 89

Cumulative distribution functions (CDFs)
, 68

Cut-off points
, 29

Dam
, 34

break
, 34, 39–40

failure and impact
, 34–35

GIS application in dam break study
, 35–36

methodology
, 36–40

research procedure and data collection
, 37–38

results
, 40–42

Damage factor
, 15–16

Damage to physical assets (DPA)
, 34

risk classification for
, 40

Data

analysis
, 143

procurement
, 142

standardisation
, 144–145

Deep big networks (DBNs)
, 143

Delineation of risk zones
, 41

Department of Irrigation and Drainage (DID)
, 14–15, 67, 70

depth–damage relationships
, 15

multiple regression function
, 18

Department of Statistics Malaysia (DOSM)
, 142

Department of Survey and Mapping Malaysia (JUPEM)
, 6

Depth–damage equation
, 18

Depth–damage function
, 20

Depth–damage relationship
, 14–15, 17

Differential evolution (DE)
, 88

Digital elevation model (DEM)
, 68, 70, 144

Digital image processing technique (DIPT)
, 163

Digital terrain model (DTM)
, 101

Direction (DIR)
, 68

Discrete flow data
, 48

Discriminant function analysis (DFA)
, 176, 180–181

Double-porosity media
, 152–153, 162–163

Drain bed slope
, 55–57

Drain flow depth
, 58–59

Drain maintenance
, 78

Drain spacing
, 56–57

Drain-widening projects
, 78

Drought-tolerant maize varieties (DT maize varieties)
, 143

Earthquake vibration
, 152

Economic indicator
, 114

Equal weighting method
, 28

Expected annual damage (EAD)
, 16, 21

Exposure
, 26

Exposure index (EI)
, 28

Faulty or missing data, detection and restoration of
, 145

Field offices/IAs, interview with
, 114

Financial stability
, 117

First flush device
, 126

Flash floods
, 54

Flood Hazard Map
, 41

Flood hydrograph
, 46

results
, 48–51

smoothing functional data
, 46–48

visualisation and outlier identification
, 48

Flood vulnerability
, 26

classification
, 30

decomposition
, 30

indicators
, 27

methodology
, 26–29

results
, 29–30

Flood vulnerability index (FVI)
, 26, 28

Flood(ing)
, 4, 14

arrival time
, 35

depth
, 15, 17, 35

duration
, 15

duration
, 35

hazard
, 5

hazard to price valuation model
, 6–7

literature review
, 4–5

in Malaysia
, 4–5

methodology
, 5–6

risk assessment
, 14, 16–17, 40

velocity
, 35

Floodplain
, 105, 107

effect
, 100

impact
, 4

information
, 101

Flow control structure
, 78–79, 84

Flow rate distribution
, 57–58

Flow regulator gate
, 78–79

Flush wave
, 78

Flushing device
, 78

Flushing gate
, 78–79

Functional data analysis (FDA)
, 46

Functional hydrograph
, 48

Functional outliers
, 51

Functional principal component analysis (FPCA)
, 47

Functional relationship
, 26

Functionality status
, 114, 116–117

Galas catchment system
, 175–177

Garden watering, water demand for
, 127

General circulation model (GCM)
, 66, 68, 71

Generalised extreme value (GEV)
, 16–17, 20, 68

Genetic algorithm (GA)
, 88

Genetic programming (GP)
, 144

Geographical information system (GIS)
, 142

application in dam break study
, 35–36

modelling
, 35–36

Global Forest Watch (GFW)
, 183

Global warming
, 66

Gouhou dam
, 35

‘Grid overlay’ method
, 35

Groundwater
, 152–154, 162

contamination
, 152

flow
, 88

groundwater-surface traces
, 35

pollution
, 152, 162

Hazard
, 5, 14, 16

HAZUS-MH flood model
, 36

Heaviside function
, 89

Hedonic function
, 6

Hidden neurons (HNs)
, 90

High-density rainbow box plot (HDR)
, 48, 50

Houses
, 4–5, 8, 15

Hue saturation intensity (HSI)
, 156, 165

Hydrass gate
, 78

Hydrocarbons
, 152

Hydrodynamic approach
, 100

Hydrodynamic models
, 35

Hydrological big data

integration of hydrological big data with GIS and remote sensing
, 143–144

sharing platforms
, 142–143

Hydrological data
, 142, 145

Hydrological model integration
, 144–145

Hydrological simulation
, 71–75

HydroSHEDS
, 68

Image analysis processing method
, 153

Infiltrated sustainable urban drainage system
, 55

methodology
, 55–56

results
, 56–60

Infiltration
, 54–56

Information of Technology (IoT)
, 141

Intact double-porosity
, 154, 158

Interferometric Synthetic Aperture Radar (IFSAR)
, 101

Irrigation Management Office (IMO)
, 113

Irrigation management transfer (IMT)
, 112

methodology
, 113–114

results
, 114–117

study area
, 113

Irrigation service fee performance (ISF)
, 114

Irrigators associations (IAs)
, 113

Joint bivariate distributions
, 46

Kampung Tunku
, 79–81

Kaolin soil
, 153

Kelantan River
, 17

Kruskal–Wallis H test
, 177

Landscape data
, 142

Landslide Hazard Zonation map (LHZ map)
, 35–36

Langat River Basin
, 66–68, 71

Langat River flood area
, 5–7

Large catchment
, 101

Laterite soil properties
, 165

Learning rate (LR)
, 92

Levenberg–Marquardt (LM)
, 88

Lévy flights
, 88–90

Light non-aqueous phase liquid penetrations (LNAPL penetrations)
, 163 (see also Non-aqueous phase liquids (NAPLs))

materials and methods
, 163–165

results
, 165–169

Linear programming and dynamic programming (LP-DP)
, 142

Linear regression function
, 17

Local government units (LGUs)
, 117

Local random walk
, 89

Machine leaning (ML)
, 144

Malaysia
, 142–143

floods in
, 5

Malaysia-led flood damage assessment
, 14

Manual Saliran Mesra Alam (MSMA)
, 78

Market
, 6, 11, 55

Mass-balance approach
, 127

Mean curve
, 47

Median
, 47

Metaheuristic algorithm
, 88

Micro-scale flood risk assessment

case study area
, 17

methodology
, 15–17

results
, 17–21

Minimum night flow (MNF)
, 135, 137

Min–max normalisation
, 26

Mode
, 47

Monthly average yield per hectare
, 114–116

Multidimensional risk
, 31

Multilayer perception-whale algorithm model (MLP-WA model)
, 144

Multivariate techniques
, 46

Nash–Sutcliffe efficiency (NSE)
, 71, 73

National Irrigation Administration (NIA)
, 113, 117

National irrigation systems
, 113

National Property Information Centre (NAPIC)
, 6

Neural networks (NNs)
, 89

Ninth Malaysian Plan
, 134

Non-aqueous phase liquids (NAPLs)
, 152

materials and methods
, 153–156

migration
, 154–156

results
, 156–159

Non-point sources
, 162

material and methods
, 175–177

results
, 177–183

Non-revenue water (NRW)
, 134

Normalisation
, 26–28

North-east monsoon (NEM)
, 67

Objective weighting method
, 28

On-Site Detention (OSD)
, 55

One-dimensional (1D)
, 101

modelling techniques
, 101

stage–discharge relationship
, 17

Open storm water system
, 78

Organic contaminants
, 162

Outlier detection methods
, 50

Outlier identification
, 48

Padada RIS
, 113–114, 122–123

Particle swarm optimisation (PSO)
, 88

Pattern
, 163, 165

Payback period
, 127

Penetration
, 163–166

Per cent bias (PBIAS)
, 71

Performance evaluation
, 112

Pergau river
, 182

Philippine Crop Insurance Corporation (PCIC)
, 117

Point sources
, 162

Post-storm flash floods
, 55

Precipitation
, 88

Price
, 4–5

Price valuation model, flood hazard to
, 6–7

PrimeLog+
, 135

PrimeWorks®
, 135

Probability weighted damage (PWD)
, 21

Probable maximum floods (PMFs)
, 35

Property

industry
, 4

investment decision-making process
, 4

price
, 3

Quantification of possible water harvested
, 126

Quantile Mapping
, 68

R studio programming software
, 17

Radial basis function (RBF)
, 144

Rainbow plot
, 48

Rainfall
, 88

rainfall–runoff model
, 103

Rainfall–runoff inundation model (RRI model)
, 66, 69–71

Rainfall–runoff inundation-command user interface (RRI-CUI)
, 69

Rainfall–runoff inundation-graphical user interface (RRI-GUI)
, 69

Rainwater harvesting system (RWHS)
, 126

cost analysis
, 129–130

design
, 126–127

performance
, 127

preliminary analysis
, 127–128

results
, 127–130

secondary analysis
, 128–129

study area
, 126

Real-time clock module (RTC module)
, 78

Realistic flood and drought forecasting and management
, 145

Red-green-blue (RGB)
, 156, 165

Reliability
, 127

Reservoir
, 34

Resilience
, 26

Resilience index (RI)
, 28

Review
, 36, 142

Risk
, 16

assessment and classification
, 41

classification for DPA
, 40

flood
, 84

River flows
, 46

River Irrigation System (RIS)
, 112

Root mean square error (RMSE)
, 71, 73

Runoff
, 78–79, 88

Rural/urban strata
, 15

Scaled conjugate gradient (SCG)
, 88

Scan electron microscopy (SEM)
, 165

Sediment fingerprinting findings
, 177–183

Sediment source fingerprinting approach
, 174–175

Semuja Nonok (SN)
, 92

Sg Lebir river system
, 101

Sg Relai river system
, 101

Shuttle Radar Topography Mission (SRTM)
, 68

Simulated annealing (SA)
, 88

Sluice gate
, 78

Smoothing functional data
, 46–48

Soaking process of water
, 54

Social indicator
, 114

Sources
, 162

South-west monsoon (SWM)
, 67

Spatial data
, 142

Stage–damage relationship
, 14, 16

Statistical beta distribution
, 28

Statistical bias correction method
, 68–69

Storm water control
, 54

Storm water management model (SWMM)
, 80

flow control structure and flushing gate
, 78–79

methodology
, 80–82

rationale of study
, 79–80

results
, 82–84

Streamflow

data
, 46

stations
, 67

Sultan Abu Bakar Dam SAB Dam)
, 34

Sungai Bedup Basin
, 91–92

Sungai Busit (SB)
, 92

Sungai Merang (SM)
, 92

Sungai Teb (ST)
, 92

Surfer Software
, 165

Susceptibility
, 26

Susceptibility index (SI)
, 28

Sustainable Urban Drainage System (SUDS)
, 55

Synthetic flood damage curves
, 14

Tabu search
, 88

Tenaga Nasional Berhad (TNB)
, 37

Teton Dam
, 34–35

Three-dimensional diagram (3D diagram)
, 153

Time of concentration
, 100

data collection
, 101–102

formulas
, 100

methodology
, 101

modelling processes
, 103–104

rainfall
, 105

results
, 105–107

software selection
, 101

study area
, 101

sub-catchment
, 105

Tipping flushing gate
, 78–79

Toilet flushing, water demand for
, 126

Total Landslide Susceptibility Index
, 36

Trace elements
, 177

Transfer functions
, 17, 68

Trend analysis
, 66

Two-dimensional modelling techniques (2D modelling techniques)
, 101

Ultrasonic sensor
, 78

Universiti Kebangsaan Malaysia (UKM)
, 134

water consumption data collection
, 135

water consumption data interpretation
, 135–138

Universiti Teknologi Malaysia (UTM)
, 55

University of Nottingham Malaysia
, 126

Unmanned aerial vehicle (UAV)
, 37

Urban Storm Water Management Manual (MSMA)
, 55

Vacuum flushing
, 78

Vajont Dam
, 34–35

Value
, 4, 9, 15, 26, 71, 144

Varimax rotation
, 48

Velocity profiles
, 59

Vibration
, 152–154, 163

Visualisation
, 48

Volume, velocity, variety, value, veracity (5Vs)
, 144

Vulnerability
, 14, 26–27

curve
, 14–15

relative classification
, 28–29

Water
, 134

balance simulation
, 127

loss in distribution networks
, 134

metre
, 135

resource engineering, global case studies on big data applications in
, 142–146

scarcity
, 134

security
, 135

supply
, 135

Water consumption

data collection
, 135

data interpretation
, 135–138

Water demand

for garden watering
, 127

for toilet flushing
, 126

Water distribution system (WDS)
, 143

Wave propagation
, 101

Weighted probability damage
, 16

Weighting
, 28

Whale algorithm model (WA model)
, 144

World Health Organization (WHO)
, 135

X-ray fluorescence (XRF)
, 176

Yield after spillage (YAS)
, 127

Yield before spillage (YBS)
, 127

Prelims
A. Flood Risk Management
Chapter 1: The Impact of Flood Hazard on Residential Property Price
Chapter 2: Micro-scale Flood Damage and Risk Assessments: A Case Study in Kelantan, Malaysia
Chapter 3: Quantitative Assessment of Flood Vulnerability in Malaysia
Chapter 4: Dam Break Flood Mapping Analysis and Impact Assessment
Chapter 5: Flood Hydrograph as a Functional Data
Chapter 6: Infiltrated Sustainable Urban Drainage System for Storm Water Control
B. Hydrological and Hydraulic Modelling
Chapter 7: Modelling the Impact of Climate Change on the Streamflow of Langat River Basin
Chapter 8: SWMM Modelling of Automated Hydraulic Flushing Gate as a Flow Control Structure
Chapter 9: Cuckoo Search Optimisation Neural Networks for Runoff Simulation in a Equatorial Rural Watershed
Chapter 10: The Time of Concentration and River Physical Geometry Relationship
C. Water Resources
Chapter 11: Irrigation Management Transfer’s Role in the Performance of Irrigation Systems in Davao Del Sur, Philippines
Chapter 12: Simulating Rainwater Harvesting System Performance for a Campus University in Malaysia
Chapter 13: Understanding the Water Consumption Patterns in Universiti Kebangsaan Malaysia (UKM) for Water Conservation
Chapter 14: A Review of Managing Water Resources in Malaysia with Big Data Approaches
D. Infiltration and Sediment
Chapter 15: Laboratory Investigation of Non-Aqueous Phase Liquids Migration in Double-Porosity Kaolin Soil
Chapter 16: Light Non-aqueous Phase Liquid Penetrations in Multi-Porosity Soil
Chapter 17: Tracing Non-point Source Sediment Using Environmental Forensic Approach: Case Study in Kelantan River Basin, Malaysia
Index