Evaluation of sensitivity of hydrograph components and landscape metrics extracted from various spatial resolutions reveals relationships between landscape metrics and outflow properties with the lowest error. In the present study, 14 Digital Elevation Models (DEMs) with different resolutions derived from a vector and raster-radar source were analyzed to evaluate sensitivity of relationships between simulated hydrograph components and landscape metrics using multiple regression methods in the Galazchai Watershed, West Azerbaijan Province, Iran. To this end, DEM, slope, flow length and direction and time of concentration were developed in the vector and raster scales of 1:25000 and Advanced Land Observing Satellite-1 (ALOS) with different resolutions using ArcGIS 10.5 and ArcHydro software. Accordingly, 588 Direct Runoff Hydrographs (DRHs) were produced and clustered using Clark's Instantaneous Unit Hydrograph (IUH) model. The results showed that the best regression fits for flood volume and peak discharge were determined with Number of Disjunct Core Areas (NDCA) and Patch Density (PD) landscape metrics. Furthermore, the best regression fitted for time to peak and base time were observed with Core Area (CA) and Normalized Landscape Shape Index (NLSI) landscape metrics. In addition, the sensitivity analysis shows that the most sensitive spatial resolutions in modeling relationship between flood volume and peak discharge were determined at 5, 10, 20, and 30 m. The results revealed that hydrograph components in association with landscape metrics had high sensitivity to spatial resolutions, while the relationships between hydrological components and landscape metrics without considering the optimal spatial resolutions resulted in unacceptable results.

对从各种空间分辨率中提取的水文要素和景观指标的敏感性进行的评估揭示了景观指标与流出特性之间的关系，误差最小。在本研究中，分析了从矢量和栅格雷达源获得的具有不同分辨率的14个数字高程模型（DEM），以使用多重回归方法在西阿塞拜疆省Galazchai流域评估模拟水文分量与景观度量之间关系的敏感性。 ，伊朗。为此，使用ArcGIS 10.5和ArcHydro软件，以1：25000的矢量和光栅比例以及具有不同分辨率的Advanced Land Observing Satellite-1（ALOS）开发了DEM，斜率，流长，浓度方向和浓度时间。因此，使用Clark的瞬时单位水位图（IUH）模型生成了588个直接径流水位图（DRH）并进行了聚类。结果表明，用分离核心面积数（NDCA）和斑块密度（PD）景观指标确定了洪水量和洪峰流量的最佳回归拟合。此外，使用核心面积（CA）和归一化景观形状指数（NLSI）景观指标可以观察到最适合峰值时间和基础时间的回归。此外，敏感性分析表明，在洪水量和峰值流量之间的建模关系中，最敏感的空间分辨率是在5、10、20和30 m处确定的。结果表明，与地形指标相关的水文要素对空间分辨率具有很高的敏感性，