Performance evaluation of spatial lumped model and spatial distributed travel time model using event based rainfall for hydrological simulation

  The spatial distributed travel time model (SDTTM) with 15-min interval of rainfall event based was rarely used in the humid regions due to the high requirement for data accessibility and complexity level to fulfil the desired objective of hydrological modelling study. The spatial lumped model (SLM...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Arabian journal of geosciences 2022, Vol.15 (24), Article 1765
Hauptverfasser: Rosli, Mohd Hafiz, Malik, Nur Khaliesah Abdul, Jamil, Nor Rohaizah, Kamarudin, Mohd Khairul Amri, Maulud, Khairul Nizam Abdul
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 24
container_start_page
container_title Arabian journal of geosciences
container_volume 15
creator Rosli, Mohd Hafiz
Malik, Nur Khaliesah Abdul
Jamil, Nor Rohaizah
Kamarudin, Mohd Khairul Amri
Maulud, Khairul Nizam Abdul
description   The spatial distributed travel time model (SDTTM) with 15-min interval of rainfall event based was rarely used in the humid regions due to the high requirement for data accessibility and complexity level to fulfil the desired objective of hydrological modelling study. The spatial lumped model (SLM) was involved in order to justify the ultimate objective of this study in evaluating the performance of SDTTM and SLM by using selected rainfall events. For this purpose, the effective rainfall was estimated by using National Resources Conservation Services Curve Number (NRCS-CN) method. SDTTM was developed based on a distributed Geographic Information System-based time-area approach by incorporating kinematic wave theory with Manning’s equation to simulate the rainfall-runoff. SLM was developed based on a lumped based approach using Hydrologic Modelling System (HEC-HMS). Nash Sutcliffe Efficiency (NSE), percentage of bias (PBIAS), percentage of error (POE) and correlation coefficient ( r ) were used to evaluate model performance in sensitivity analysis, SDTTM and SLM. Results show that sensitivity analysis, and both observed and simulated hydrographs were highly correlated in mean value during calibration and validation period. Both models have a high applicability in different regions depending on the desired objectives, accessibility of data, time consumption and cost to utilize these models in respective catchments.
doi_str_mv 10.1007/s12517-022-11068-4
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2748849817</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2748849817</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1644-e756b3594335fe36113adb96d1cb60b5032553bb2a9f04081703c5a358a11243</originalsourceid><addsrcrecordid>eNp9kEtLxDAUhYsoOI7-AVcB19XcPNp0KYMvEHQx-5C06ZghbWrSDsyv8C-beTDuXN0L5zvnwMmyW8D3gHH5EIFwKHNMSA6AC5Gzs2wGoijyklNxfvoBLrOrGNc4MbgUs-zn04TWh071tUFmo9ykRut75FsUh_Qqh9zUDaZBnW-MQ6pvTkJj4xisnsakjkFtkjzazhzJKdp-lSJNPyKtYmKCsn2rnEOpEH1tm-CdX9k6JUXbTW5ffJ1dJCSam-OdZ8vnp-XiNX__eHlbPL7nNRSM5abkhaa8YpTy1tACgKpGV0UDtS6w5pgSzqnWRFUtZlhAiWnNFeVCARBG59ndIXYI_nsycZRrP4U-NUpSMiFYlSyJIgeqDj7GYFo5BNupsJWA5W53edhdpt3lfne5i6YHU0xwvzLhL_of1y9mEogF</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2748849817</pqid></control><display><type>article</type><title>Performance evaluation of spatial lumped model and spatial distributed travel time model using event based rainfall for hydrological simulation</title><source>Springer Nature - Complete Springer Journals</source><creator>Rosli, Mohd Hafiz ; Malik, Nur Khaliesah Abdul ; Jamil, Nor Rohaizah ; Kamarudin, Mohd Khairul Amri ; Maulud, Khairul Nizam Abdul</creator><creatorcontrib>Rosli, Mohd Hafiz ; Malik, Nur Khaliesah Abdul ; Jamil, Nor Rohaizah ; Kamarudin, Mohd Khairul Amri ; Maulud, Khairul Nizam Abdul</creatorcontrib><description>  The spatial distributed travel time model (SDTTM) with 15-min interval of rainfall event based was rarely used in the humid regions due to the high requirement for data accessibility and complexity level to fulfil the desired objective of hydrological modelling study. The spatial lumped model (SLM) was involved in order to justify the ultimate objective of this study in evaluating the performance of SDTTM and SLM by using selected rainfall events. For this purpose, the effective rainfall was estimated by using National Resources Conservation Services Curve Number (NRCS-CN) method. SDTTM was developed based on a distributed Geographic Information System-based time-area approach by incorporating kinematic wave theory with Manning’s equation to simulate the rainfall-runoff. SLM was developed based on a lumped based approach using Hydrologic Modelling System (HEC-HMS). Nash Sutcliffe Efficiency (NSE), percentage of bias (PBIAS), percentage of error (POE) and correlation coefficient ( r ) were used to evaluate model performance in sensitivity analysis, SDTTM and SLM. Results show that sensitivity analysis, and both observed and simulated hydrographs were highly correlated in mean value during calibration and validation period. Both models have a high applicability in different regions depending on the desired objectives, accessibility of data, time consumption and cost to utilize these models in respective catchments.</description><identifier>ISSN: 1866-7511</identifier><identifier>EISSN: 1866-7538</identifier><identifier>DOI: 10.1007/s12517-022-11068-4</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Accessibility ; Catchment area ; Catchments ; Correlation coefficient ; Correlation coefficients ; Earth and Environmental Science ; Earth science ; Earth Sciences ; Geographic information systems ; Geographical distribution ; Geographical information systems ; Hydrologic models ; Hydrology ; Information systems ; Kinematic wave theory ; Kinematic waves ; Kinematics ; Modelling ; Original Paper ; Performance evaluation ; Precipitation ; Rainfall-runoff relationships ; Remote sensing ; Resource conservation ; Sensitivity analysis ; Simulation ; Travel ; Travel time</subject><ispartof>Arabian journal of geosciences, 2022, Vol.15 (24), Article 1765</ispartof><rights>Saudi Society for Geosciences 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1644-e756b3594335fe36113adb96d1cb60b5032553bb2a9f04081703c5a358a11243</citedby><cites>FETCH-LOGICAL-c1644-e756b3594335fe36113adb96d1cb60b5032553bb2a9f04081703c5a358a11243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12517-022-11068-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12517-022-11068-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Rosli, Mohd Hafiz</creatorcontrib><creatorcontrib>Malik, Nur Khaliesah Abdul</creatorcontrib><creatorcontrib>Jamil, Nor Rohaizah</creatorcontrib><creatorcontrib>Kamarudin, Mohd Khairul Amri</creatorcontrib><creatorcontrib>Maulud, Khairul Nizam Abdul</creatorcontrib><title>Performance evaluation of spatial lumped model and spatial distributed travel time model using event based rainfall for hydrological simulation</title><title>Arabian journal of geosciences</title><addtitle>Arab J Geosci</addtitle><description>  The spatial distributed travel time model (SDTTM) with 15-min interval of rainfall event based was rarely used in the humid regions due to the high requirement for data accessibility and complexity level to fulfil the desired objective of hydrological modelling study. The spatial lumped model (SLM) was involved in order to justify the ultimate objective of this study in evaluating the performance of SDTTM and SLM by using selected rainfall events. For this purpose, the effective rainfall was estimated by using National Resources Conservation Services Curve Number (NRCS-CN) method. SDTTM was developed based on a distributed Geographic Information System-based time-area approach by incorporating kinematic wave theory with Manning’s equation to simulate the rainfall-runoff. SLM was developed based on a lumped based approach using Hydrologic Modelling System (HEC-HMS). Nash Sutcliffe Efficiency (NSE), percentage of bias (PBIAS), percentage of error (POE) and correlation coefficient ( r ) were used to evaluate model performance in sensitivity analysis, SDTTM and SLM. Results show that sensitivity analysis, and both observed and simulated hydrographs were highly correlated in mean value during calibration and validation period. Both models have a high applicability in different regions depending on the desired objectives, accessibility of data, time consumption and cost to utilize these models in respective catchments.</description><subject>Accessibility</subject><subject>Catchment area</subject><subject>Catchments</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Earth and Environmental Science</subject><subject>Earth science</subject><subject>Earth Sciences</subject><subject>Geographic information systems</subject><subject>Geographical distribution</subject><subject>Geographical information systems</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Information systems</subject><subject>Kinematic wave theory</subject><subject>Kinematic waves</subject><subject>Kinematics</subject><subject>Modelling</subject><subject>Original Paper</subject><subject>Performance evaluation</subject><subject>Precipitation</subject><subject>Rainfall-runoff relationships</subject><subject>Remote sensing</subject><subject>Resource conservation</subject><subject>Sensitivity analysis</subject><subject>Simulation</subject><subject>Travel</subject><subject>Travel time</subject><issn>1866-7511</issn><issn>1866-7538</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYsoOI7-AVcB19XcPNp0KYMvEHQx-5C06ZghbWrSDsyv8C-beTDuXN0L5zvnwMmyW8D3gHH5EIFwKHNMSA6AC5Gzs2wGoijyklNxfvoBLrOrGNc4MbgUs-zn04TWh071tUFmo9ykRut75FsUh_Qqh9zUDaZBnW-MQ6pvTkJj4xisnsakjkFtkjzazhzJKdp-lSJNPyKtYmKCsn2rnEOpEH1tm-CdX9k6JUXbTW5ffJ1dJCSam-OdZ8vnp-XiNX__eHlbPL7nNRSM5abkhaa8YpTy1tACgKpGV0UDtS6w5pgSzqnWRFUtZlhAiWnNFeVCARBG59ndIXYI_nsycZRrP4U-NUpSMiFYlSyJIgeqDj7GYFo5BNupsJWA5W53edhdpt3lfne5i6YHU0xwvzLhL_of1y9mEogF</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Rosli, Mohd Hafiz</creator><creator>Malik, Nur Khaliesah Abdul</creator><creator>Jamil, Nor Rohaizah</creator><creator>Kamarudin, Mohd Khairul Amri</creator><creator>Maulud, Khairul Nizam Abdul</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>2022</creationdate><title>Performance evaluation of spatial lumped model and spatial distributed travel time model using event based rainfall for hydrological simulation</title><author>Rosli, Mohd Hafiz ; Malik, Nur Khaliesah Abdul ; Jamil, Nor Rohaizah ; Kamarudin, Mohd Khairul Amri ; Maulud, Khairul Nizam Abdul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1644-e756b3594335fe36113adb96d1cb60b5032553bb2a9f04081703c5a358a11243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accessibility</topic><topic>Catchment area</topic><topic>Catchments</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Earth and Environmental Science</topic><topic>Earth science</topic><topic>Earth Sciences</topic><topic>Geographic information systems</topic><topic>Geographical distribution</topic><topic>Geographical information systems</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Information systems</topic><topic>Kinematic wave theory</topic><topic>Kinematic waves</topic><topic>Kinematics</topic><topic>Modelling</topic><topic>Original Paper</topic><topic>Performance evaluation</topic><topic>Precipitation</topic><topic>Rainfall-runoff relationships</topic><topic>Remote sensing</topic><topic>Resource conservation</topic><topic>Sensitivity analysis</topic><topic>Simulation</topic><topic>Travel</topic><topic>Travel time</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rosli, Mohd Hafiz</creatorcontrib><creatorcontrib>Malik, Nur Khaliesah Abdul</creatorcontrib><creatorcontrib>Jamil, Nor Rohaizah</creatorcontrib><creatorcontrib>Kamarudin, Mohd Khairul Amri</creatorcontrib><creatorcontrib>Maulud, Khairul Nizam Abdul</creatorcontrib><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>Arabian journal of geosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rosli, Mohd Hafiz</au><au>Malik, Nur Khaliesah Abdul</au><au>Jamil, Nor Rohaizah</au><au>Kamarudin, Mohd Khairul Amri</au><au>Maulud, Khairul Nizam Abdul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance evaluation of spatial lumped model and spatial distributed travel time model using event based rainfall for hydrological simulation</atitle><jtitle>Arabian journal of geosciences</jtitle><stitle>Arab J Geosci</stitle><date>2022</date><risdate>2022</risdate><volume>15</volume><issue>24</issue><artnum>1765</artnum><issn>1866-7511</issn><eissn>1866-7538</eissn><abstract>  The spatial distributed travel time model (SDTTM) with 15-min interval of rainfall event based was rarely used in the humid regions due to the high requirement for data accessibility and complexity level to fulfil the desired objective of hydrological modelling study. The spatial lumped model (SLM) was involved in order to justify the ultimate objective of this study in evaluating the performance of SDTTM and SLM by using selected rainfall events. For this purpose, the effective rainfall was estimated by using National Resources Conservation Services Curve Number (NRCS-CN) method. SDTTM was developed based on a distributed Geographic Information System-based time-area approach by incorporating kinematic wave theory with Manning’s equation to simulate the rainfall-runoff. SLM was developed based on a lumped based approach using Hydrologic Modelling System (HEC-HMS). Nash Sutcliffe Efficiency (NSE), percentage of bias (PBIAS), percentage of error (POE) and correlation coefficient ( r ) were used to evaluate model performance in sensitivity analysis, SDTTM and SLM. Results show that sensitivity analysis, and both observed and simulated hydrographs were highly correlated in mean value during calibration and validation period. Both models have a high applicability in different regions depending on the desired objectives, accessibility of data, time consumption and cost to utilize these models in respective catchments.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s12517-022-11068-4</doi></addata></record>
fulltext fulltext
identifier ISSN: 1866-7511
ispartof Arabian journal of geosciences, 2022, Vol.15 (24), Article 1765
issn 1866-7511
1866-7538
language eng
recordid cdi_proquest_journals_2748849817
source Springer Nature - Complete Springer Journals
subjects Accessibility
Catchment area
Catchments
Correlation coefficient
Correlation coefficients
Earth and Environmental Science
Earth science
Earth Sciences
Geographic information systems
Geographical distribution
Geographical information systems
Hydrologic models
Hydrology
Information systems
Kinematic wave theory
Kinematic waves
Kinematics
Modelling
Original Paper
Performance evaluation
Precipitation
Rainfall-runoff relationships
Remote sensing
Resource conservation
Sensitivity analysis
Simulation
Travel
Travel time
title Performance evaluation of spatial lumped model and spatial distributed travel time model using event based rainfall for hydrological simulation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T07%3A51%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Performance%20evaluation%20of%20spatial%20lumped%20model%20and%20spatial%20distributed%20travel%20time%20model%20using%20event%20based%20rainfall%20for%20hydrological%20simulation&rft.jtitle=Arabian%20journal%20of%20geosciences&rft.au=Rosli,%20Mohd%20Hafiz&rft.date=2022&rft.volume=15&rft.issue=24&rft.artnum=1765&rft.issn=1866-7511&rft.eissn=1866-7538&rft_id=info:doi/10.1007/s12517-022-11068-4&rft_dat=%3Cproquest_cross%3E2748849817%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2748849817&rft_id=info:pmid/&rfr_iscdi=true