Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models
Infiltration, the process by which water enters the soil, is intricately intertwined with the attributes of the catchment, including soil composition and vegetation cover, both of which exhibit temporal and spatial variability. Accurate quantification of infiltration rates is imperative for enhancin...
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| Format: | Article |
| Language: | English |
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Università degli Studi di Firenze
2024-12-01
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| Series: | Journal of Agriculture and Environment for International Development |
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| Online Access: | https://www.jaeid.it/index.php/jaeid/article/view/15317 |
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| author | Mohammad Hossein Pishvaei Shabnam Noroozpour Touraj Sabzevari Mostafa Akbari Kheirabadi Andrea Petroselli |
| author_facet | Mohammad Hossein Pishvaei Shabnam Noroozpour Touraj Sabzevari Mostafa Akbari Kheirabadi Andrea Petroselli |
| author_sort | Mohammad Hossein Pishvaei |
| collection | DOAJ |
| description | Infiltration, the process by which water enters the soil, is intricately intertwined with the attributes of the catchment, including soil composition and vegetation cover, both of which exhibit temporal and spatial variability. Accurate quantification of infiltration rates is imperative for enhancing the predictive capabilities of rainfall-runoff models, especially in regions with limited hydrological monitoring infrastructure, such as many developing countries where a significant portion of catchments remains ungauged. In this study, we integrate the Soil Conservation Service Curve Number (SCS-CN) model with the TOPography-based hydrological MODEL (TOPMODEL) to derive a comprehensive framework for estimating the spatial and temporal dynamics of infiltration and its associated parameters. By leveraging the complementary strengths of these two models, we aim to enhance our understanding of infiltration processes across diverse landscapes. The amalgamation of the SCS-CN model with TOPMODEL Dynamic, which incorporates topographic features, contributing areas, and soil moisture deficit (SMD) dynamics within the watershed, represents a novel approach for characterizing the spatiotemporal variability of infiltration, curve number (CN), and runoff coefficient (RC). This integrated model offers a refined mathematical representation, capable of capturing the intricate interactions between land surface characteristics and hydrological processes, thereby advancing our ability to simulate and predict runoff responses in complex environmental settings.
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| format | Article |
| id | doaj-art-26d01edfa01d403c9a8a411fbe3fef40 |
| institution | OA Journals |
| issn | 2240-2802 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Università degli Studi di Firenze |
| record_format | Article |
| series | Journal of Agriculture and Environment for International Development |
| spelling | doaj-art-26d01edfa01d403c9a8a411fbe3fef402025-08-20T02:36:31ZengUniversità degli Studi di FirenzeJournal of Agriculture and Environment for International Development2240-28022024-12-01118210.36253/jaeid-15317Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN modelsMohammad Hossein Pishvaei0Shabnam Noroozpour1Touraj Sabzevari2Mostafa Akbari Kheirabadi3Andrea Petroselli4Department of civil engineering, Estahban Branch, Islamic Azad University, Estahban, IranYoung Researchers and Elite Club, Estahban Branch, Islamic Azad University, Estahban, IranDepartment of civil engineering, Estahban Branch, Islamic Azad University, Estahban, IranDepartment of civil engineering, Estahban Branch, Islamic Azad University, Estahban, IranDepartment of Agriculture and Forest Sciences (DAFNE), Tuscia University, Viterbo, ItalyInfiltration, the process by which water enters the soil, is intricately intertwined with the attributes of the catchment, including soil composition and vegetation cover, both of which exhibit temporal and spatial variability. Accurate quantification of infiltration rates is imperative for enhancing the predictive capabilities of rainfall-runoff models, especially in regions with limited hydrological monitoring infrastructure, such as many developing countries where a significant portion of catchments remains ungauged. In this study, we integrate the Soil Conservation Service Curve Number (SCS-CN) model with the TOPography-based hydrological MODEL (TOPMODEL) to derive a comprehensive framework for estimating the spatial and temporal dynamics of infiltration and its associated parameters. By leveraging the complementary strengths of these two models, we aim to enhance our understanding of infiltration processes across diverse landscapes. The amalgamation of the SCS-CN model with TOPMODEL Dynamic, which incorporates topographic features, contributing areas, and soil moisture deficit (SMD) dynamics within the watershed, represents a novel approach for characterizing the spatiotemporal variability of infiltration, curve number (CN), and runoff coefficient (RC). This integrated model offers a refined mathematical representation, capable of capturing the intricate interactions between land surface characteristics and hydrological processes, thereby advancing our ability to simulate and predict runoff responses in complex environmental settings. https://www.jaeid.it/index.php/jaeid/article/view/15317Infiltration; Runoff coefficient; Curve number; TOPMODEL. |
| spellingShingle | Mohammad Hossein Pishvaei Shabnam Noroozpour Touraj Sabzevari Mostafa Akbari Kheirabadi Andrea Petroselli Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models Journal of Agriculture and Environment for International Development Infiltration; Runoff coefficient; Curve number; TOPMODEL. |
| title | Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models |
| title_full | Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models |
| title_fullStr | Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models |
| title_full_unstemmed | Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models |
| title_short | Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models |
| title_sort | spatial and temporal distribution of infiltration curve number and runoff coefficients using topmodel and scs cn models |
| topic | Infiltration; Runoff coefficient; Curve number; TOPMODEL. |
| url | https://www.jaeid.it/index.php/jaeid/article/view/15317 |
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