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...
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creator | Rosli, Mohd Hafiz Malik, Nur Khaliesah Abdul Jamil, Nor Rohaizah Kamarudin, Mohd Khairul Amri Maulud, Khairul Nizam Abdul |
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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 |
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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 & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & 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> |
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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 |
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