University of Tehran Press Journal of Ecohydrology 2423-6098 5 2 2018 06 22 Flood Hydrograph Simulation and Analysis of its Components with Landscape Metrics in Amoughin Watershed, Ardabil Province Flood Hydrograph Simulation and Analysis of its Components with Landscape Metrics in Amoughin Watershed, Ardabil Province 357 372 65750 10.22059/ije.2018.231141.547 FA Shahnaz Mirzaei M.Sc. student of Watershed Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili Abazar Esmali Ouri Associate Professor, Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili Raoof Mostafazadeh Professor (Assistant) Department of Rangeland and Watershed Management, Faculty of Agricultural Sciences and Natural Resources, University of Mohaghegh Ardabili Ardavan Ghorbani Associate Professor, Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili Sajjad Mirzaei Ph.D Student of Watershed &lrm;Management Science and Engineering, Tarbiat Modares University Journal Article 2017 04 12 The landscape metrics are used to quantify the spatial properties of landuse patches and classes as a useful tool in assessing effect of human activities on flooding processes. This study aims to evaluate the efficiency of HEC-HMS model in flood simulaion of Amoughin watershed and exploring the relationships of landscape metrics and the flood components. The HEC-HMS model was runned with SCS-CN (loss module), SCS-Unit hydrograph (rainfall-runoff transformation) and Muskingum (routing). The model parameters were optimized using 6 events considering Nash-Sutcliffe objective function and three excluded events used during validation. The components of simulated hydrographs were defined by 25-year design rainfall. The landscape metrics were quantified using Fragstat and appropriate landscape metrics slected by PCA. The correlation and regression analysis were performed in R programming. The value of Nash-Sutcliffe criterion was 0.63 in validation which proves the accuracy of model in flood simulation. The results showed a positive relationship between Qp, runoff volume and base time with total area (TA) and MESH metrics. Relationship of Qp with TA, patch density (PD) and slope were evaluated as positive (p-value<0.01). While, the Qp had negative relationship with rangeland area. Also, the hydrograph Tp had a positive correlation with PD and river length. The landscape metrics are used to quantify the spatial properties of landuse patches and classes as a useful tool in assessing effect of human activities on flooding processes. This study aims to evaluate the efficiency of HEC-HMS model in flood simulaion of Amoughin watershed and exploring the relationships of landscape metrics and the flood components. The HEC-HMS model was runned with SCS-CN (loss module), SCS-Unit hydrograph (rainfall-runoff transformation) and Muskingum (routing). The model parameters were optimized using 6 events considering Nash-Sutcliffe objective function and three excluded events used during validation. The components of simulated hydrographs were defined by 25-year design rainfall. The landscape metrics were quantified using Fragstat and appropriate landscape metrics slected by PCA. The correlation and regression analysis were performed in R programming. The value of Nash-Sutcliffe criterion was 0.63 in validation which proves the accuracy of model in flood simulation. The results showed a positive relationship between Qp, runoff volume and base time with total area (TA) and MESH metrics. Relationship of Qp with TA, patch density (PD) and slope were evaluated as positive (p-value<0.01). While, the Qp had negative relationship with rangeland area. Also, the hydrograph Tp had a positive correlation with PD and river length. https://ije.ut.ac.ir/article_65750_90be363349ec8ad1343618b02c7a1943.pdf