SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid
Flood is a primary hazard affecting Malaysia, often responsible for loss of lives and a severe threat to infrastructure and environment. Activities in flood plain and catchment such as land clearing for other developments effort may increase the magnitude of a flood. The problem of flood managem...
| Auteur principal: | |
|---|---|
| Format: | Book Section |
| Langue: | English |
| Publié: |
Institute of Graduate Studies, UiTM
2017
|
| Sujets: | |
| Accès en ligne: | https://ir.uitm.edu.my/id/eprint/18985/1/ABS_KHAIRI%20KHALID%20TDRA%20VOL%2012%20IGS%2017.pdf |
| _version_ | 1825735133462790144 |
|---|---|
| author | Khalid, Khairi |
| author_facet | Khalid, Khairi |
| author_sort | Khalid, Khairi |
| collection | UITM |
| description | Flood is a primary hazard affecting Malaysia, often responsible for loss
of lives and a severe threat to infrastructure and environment. Activities
in flood plain and catchment such as land clearing for other developments
effort may increase the magnitude of a flood. The problem of flood
management cannot be solved simply by providing more construction of
dams and reservoirs. The adoption of a strategic approach is needed for
planning and managing that flood management in any watershed. The
evolution of distributed watershed models has been established for more
accurate representation of the hydrological system by considering the
spatial variability of model parameters and inputs. The research aims to
evaluate the performance and hydrological response of the Soil Water
Assessment Tool (SWAT) process-based model in tropical river basin
using Malaysia soil data. This study was specific to the upper part of
Langat River Basin (UPLRB) in the context of Greater Kuala Lumpur Plan
in the southern region. The research also provides a streamflow prediction
using the Artificial Neural Network (ANN) method as another tool for
assessment. ArcSWAT2009.93.b, which is embedded in ArcGIS10, has
been selected for this study, and the model requires comprehensive data
on topography, soils, land use and daily weather data within a watershed.
SWAT-CUP, which links SUFI-2 algorithm to SWAT models, has been
utilized in the study for the calibration of SWAT models. |
| first_indexed | 2024-03-06T01:42:29Z |
| format | Book Section |
| id | oai:ir.uitm.edu.my:18985 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T01:42:29Z |
| publishDate | 2017 |
| publisher | Institute of Graduate Studies, UiTM |
| record_format | dspace |
| spelling | oai:ir.uitm.edu.my:189852018-06-07T02:06:05Z https://ir.uitm.edu.my/id/eprint/18985/ SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid Khalid, Khairi Meteorology. Climatology. Including the earth's atmosphere Dynamic loading conditions. Structural dynamics. Vibrations Engineering geology. Rock mechanics. Soil mechanics. Flood is a primary hazard affecting Malaysia, often responsible for loss of lives and a severe threat to infrastructure and environment. Activities in flood plain and catchment such as land clearing for other developments effort may increase the magnitude of a flood. The problem of flood management cannot be solved simply by providing more construction of dams and reservoirs. The adoption of a strategic approach is needed for planning and managing that flood management in any watershed. The evolution of distributed watershed models has been established for more accurate representation of the hydrological system by considering the spatial variability of model parameters and inputs. The research aims to evaluate the performance and hydrological response of the Soil Water Assessment Tool (SWAT) process-based model in tropical river basin using Malaysia soil data. This study was specific to the upper part of Langat River Basin (UPLRB) in the context of Greater Kuala Lumpur Plan in the southern region. The research also provides a streamflow prediction using the Artificial Neural Network (ANN) method as another tool for assessment. ArcSWAT2009.93.b, which is embedded in ArcGIS10, has been selected for this study, and the model requires comprehensive data on topography, soils, land use and daily weather data within a watershed. SWAT-CUP, which links SUFI-2 algorithm to SWAT models, has been utilized in the study for the calibration of SWAT models. Institute of Graduate Studies, UiTM 2017 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/18985/1/ABS_KHAIRI%20KHALID%20TDRA%20VOL%2012%20IGS%2017.pdf SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid. (2017) In: The Doctoral Research Abstracts. IGS Biannual Publication, 12 (12). Institute of Graduate Studies, UiTM, Shah Alam. |
| spellingShingle | Meteorology. Climatology. Including the earth's atmosphere Dynamic loading conditions. Structural dynamics. Vibrations Engineering geology. Rock mechanics. Soil mechanics. Khalid, Khairi SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid |
| title | SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid |
| title_full | SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid |
| title_fullStr | SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid |
| title_full_unstemmed | SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid |
| title_short | SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid |
| title_sort | swat and ann model hydrological assessment using malaysia soil data khairi khalid |
| topic | Meteorology. Climatology. Including the earth's atmosphere Dynamic loading conditions. Structural dynamics. Vibrations Engineering geology. Rock mechanics. Soil mechanics. |
| url | https://ir.uitm.edu.my/id/eprint/18985/1/ABS_KHAIRI%20KHALID%20TDRA%20VOL%2012%20IGS%2017.pdf |
| work_keys_str_mv | AT khalidkhairi swatandannmodelhydrologicalassessmentusingmalaysiasoildatakhairikhalid |