A comparative study of flood inundation mapping using hydrologic-hydrodynamic modelling and remote sensing-based datasets in the Kabul River Basin, Pakistan (Record no. 808)

MARC details
000 -LEADER
fixed length control field 04249nas a2200373 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817161317.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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035 ## - SYSTEM CONTROL NUMBER
System control number .b12455131
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.WM-24-20
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Adnan, Muhammad
245 10 - TITLE STATEMENT
Title A comparative study of flood inundation mapping using hydrologic-hydrodynamic modelling and remote sensing-based datasets in the Kabul River Basin, Pakistan
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 106 leaves :
Other physical details ill.+
Accompanying material 1 online resource
490 1# - SERIES STATEMENT
Series statement Thesis;
Volume/sequential designation no.WM-24-20
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Water Engineering and Management
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 2024
520 ## - SUMMARY, ETC.
Summary, etc. The transboundary Kabul River Basin (KRB) straddled the borders with Afghanistan and Pakistan is profoundly vulnerable to pluvial and fluvial floods due to the changing climate in the region. The 2010 and 2022 floods are major examples that caused huge devastation downstream cities such as Charsadda, Peshawar and Nowshera. However, flood inundation maps are not readily available for developing emergency action plans, evacuation plans, response and flood damage assessment. Therefore, this study for the first time applied a combination of conventional modelling and remote sensing to develop flood inundation maps. The PCSWMM hydrological-hydrodynamic model was calibrated for the 2010 flood and validated for the 2022 flood considering both observed as well as MERRA-II re-analysis precipitation separately. Model performance was evaluated using different indicators such as Integral Square Error (ISE), Nach Sutcliffe Efficiency (NSE), and Percentage Bias (PBIAS). The model performed well during calibration (validation), for example, ISE, NSE, and PBIAS were 0.42 (0.54), 0.77 (0.84), and -0.56% (-2.607%) for observed precipitation while 0.32 (0.51), 0.86 (0.86), and -12.12 (-8.26) for re-analysis precipitation respectively. The model captured the peak flows of the 2010 and 2022 floods. Flood analysis was run to get flood inundation maps from observed and re-analysis precipitation for the 2022 extreme rainfall event. Alternatively, this study also explores processing Synthetic Aperture Radar (SAR C-band) remote sensing data using the Sentinel Application Platform (SNAP) to map flood inundation of the same rainfall event. The flood inundation maps from the model and SAR were compared with the referenced map by creating a Confusion Matrix. Ten different indices like Mathews Correlation Coefficient, error rate, specificity, false positive rate etc. were calculated where the model gives improved performance for simulating flood inundation. SAR imagery was not available during the flooding days and hence missed the peak flood resulting in reduced inundation. Despite being underestimated in high-altitude areas, MERRA-2 precipitation data overall improved model performance by incorporating more observation points where no observations were available and revealed a correlation with observed precipitation thereby making it suitable for data-scarce flat regions. The results from this study can be used for informed decisions.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Hydrogeological modeling
Geographic subdivision Pakistan
-- Kabul River Basin
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Floods
Geographic subdivision Pakistan
-- Kabul River Basin
General subdivision Remote sensing
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shanmugam, Mohana Sundaram,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shrestha, Sangam,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Natthachat Tangdamrongsub,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Virdis, Salvatore G.P.,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Development Bank-Japan Scholarship Program (ADB-JSP),
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Insitute of Technology.
Title of a work Thesis;
Volume/sequential designation no.WM-24-20
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B22102">http://203.159.5.9/ait-thesis/detail.php?q=B22102</a>
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a .b12455131
b mnarc
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a 250509
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 250508
First date, FD (RLIN) m
-- h
-- a
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
909 ## - LOCAL ITEMS USED
Barcode Barcode : -
CREATED CREATED : 2025-01-05
RECORD Id RECORD # : i13546041
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
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Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT Thesis no.WM-24-20 17/08/2026 1 17/08/2026 67-Electronic Resource
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