Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation Performances
Physically-based parameter estimations are essential to improve the simulation performance of a hydrologic model and to produce physically reasonable parameters with spatial consistency. This study proposed a parameter derivation strategy to improve the Sacramento Soil Moisture Accounting (SAC-SMA)...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/13/6/1473 |
| _version_ | 1827739016322088960 |
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| author | Bin Wang Hao Sun Shuaishuai Guo Jinbai Huang Zhongbo Wang Xuefeng Bai Xinglong Gong Xiaoli Jin |
| author_facet | Bin Wang Hao Sun Shuaishuai Guo Jinbai Huang Zhongbo Wang Xuefeng Bai Xinglong Gong Xiaoli Jin |
| author_sort | Bin Wang |
| collection | DOAJ |
| description | Physically-based parameter estimations are essential to improve the simulation performance of a hydrologic model and to produce physically reasonable parameters with spatial consistency. This study proposed a parameter derivation strategy to improve the Sacramento Soil Moisture Accounting (SAC-SMA) model simulation performance based on the publicly accessible Harmonized World Soil Database (HWSD). The HWSD soil properties were used to estimate the soil moisture characteristics, and the HWSD soil texture classifications and International Geosphere-Biosphere Programme (IGBP) land cover types were used to identify the Soil Conservation Service (SCS) runoff curve number (CN). After the soil moisture characteristics and CNs were identified, the major parameters of the SAC-SMA model were derived. The simulation results were evaluated using the Nash efficiency coefficient (NSEC), and Free Search (FS) algorithm was used to further adjust and calibrate the parameters. Compared with the simulation accuracy (NSEC = 0.66~0.88) and parameter transferability (NSEC = 0.22~0.83) obtained for the SAC-SMA model using directly calibrated parameters, the HWSD data-derived parameters allowed the SAC-SMA model to achieve a similar simulation accuracy (NSEC = 0.65~0.86) and a better transferability (NSEC = 0.61~0.85). |
| first_indexed | 2024-03-11T02:53:13Z |
| format | Article |
| id | doaj.art-cb0982e40fa0460785da0176cf836903 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-11T02:53:13Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-cb0982e40fa0460785da0176cf8369032023-11-18T08:53:46ZengMDPI AGAgronomy2073-43952023-05-01136147310.3390/agronomy13061473Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation PerformancesBin Wang0Hao Sun1Shuaishuai Guo2Jinbai Huang3Zhongbo Wang4Xuefeng Bai5Xinglong Gong6Xiaoli Jin7College of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaCollege of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaCollege of Agricultural Science and Engineering, Hohai University, Nanjing 210024, ChinaCollege of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225127, ChinaCollege of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaCollege of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaCollege of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaCollege of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaPhysically-based parameter estimations are essential to improve the simulation performance of a hydrologic model and to produce physically reasonable parameters with spatial consistency. This study proposed a parameter derivation strategy to improve the Sacramento Soil Moisture Accounting (SAC-SMA) model simulation performance based on the publicly accessible Harmonized World Soil Database (HWSD). The HWSD soil properties were used to estimate the soil moisture characteristics, and the HWSD soil texture classifications and International Geosphere-Biosphere Programme (IGBP) land cover types were used to identify the Soil Conservation Service (SCS) runoff curve number (CN). After the soil moisture characteristics and CNs were identified, the major parameters of the SAC-SMA model were derived. The simulation results were evaluated using the Nash efficiency coefficient (NSEC), and Free Search (FS) algorithm was used to further adjust and calibrate the parameters. Compared with the simulation accuracy (NSEC = 0.66~0.88) and parameter transferability (NSEC = 0.22~0.83) obtained for the SAC-SMA model using directly calibrated parameters, the HWSD data-derived parameters allowed the SAC-SMA model to achieve a similar simulation accuracy (NSEC = 0.65~0.86) and a better transferability (NSEC = 0.61~0.85).https://www.mdpi.com/2073-4395/13/6/1473HWSD soil propertiesSAC-SMA modelparameter derivation strategyrunoff simulationIGBP land cover |
| spellingShingle | Bin Wang Hao Sun Shuaishuai Guo Jinbai Huang Zhongbo Wang Xuefeng Bai Xinglong Gong Xiaoli Jin Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation Performances Agronomy HWSD soil properties SAC-SMA model parameter derivation strategy runoff simulation IGBP land cover |
| title | Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation Performances |
| title_full | Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation Performances |
| title_fullStr | Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation Performances |
| title_full_unstemmed | Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation Performances |
| title_short | Strategy for Deriving Sacramento Model Parameters Using Soil Properties to Improve Its Runoff Simulation Performances |
| title_sort | strategy for deriving sacramento model parameters using soil properties to improve its runoff simulation performances |
| topic | HWSD soil properties SAC-SMA model parameter derivation strategy runoff simulation IGBP land cover |
| url | https://www.mdpi.com/2073-4395/13/6/1473 |
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