Hydrological responses corresponding to the agricultural land use alterations are critical for planning crop management strategies, water resources management, and environmental evaluations. However, accurate estimation and evaluation of these hydrological responses are restricted by the limited availability of detailed crop classification in land use and land cover. An innovative approach using state-of-the-art Variable Infiltration Capacity (VIC) model is utilized by setting up the crop-specific vegetation parameterization and analyse the effect of uniform and heterogeneous agricultural land use over the hydrological responses of the basin, in the Kangsabati River Basin (KRB). Thirteen year simulations (1998–2010) based on two different scenarios i.e., single-crop in agricultural land use (SC-ALU) and multi-crop in agricultural land use (MC-ALU) patterns are incorporated in the model and calibrated (1998–2006) and validated (2007–2010) for the streamflow at Reservoir and Mohanpur in the KRB. The results demonstrated that the VIC model improved the estimates of hydrological components, especially surface runoff and evapotranspiration (ET) at daily and monthly timescales corresponding to MC-ALU than SC-ALU (NSC > 0.7). Grid-scale ET estimates are improved after incorporating heterogeneous agricultural land use (NSC > 0.55 and R² > 0.55) throughout the period of 1998–2010. This study improves our understanding on how the change in agricultural land use in the model settings alters the basin hydrological characteristics, and to provide model-based approaches for best management practices in irrigation scheduling, crop water requirement, and management strategies in the absence of flux towers, eddy covariance, and lysimeters in the basin.

与农业土地利用变化相对应的水文响应对于规划作物管理战略，水资源管理和环境评估至关重要。但是，对这些水文响应的准确估计和评估受到土地利用和土地覆盖中详细作物分类的有限可用性的限制。通过建立特定作物的植被参数化并分析流域内水文响应的均匀和非均质农业土地利用对流域水文响应的影响，采用了采用最新可变入渗能力（VIC）模型的创新方法。康萨巴蒂河流域（KRB）。基于两种不同场景的十三年模拟（1998-2010年），即 在模型中纳入了农业土地利用的单作物（SC-ALU）和农业土地利用的多作物（MC-ALU）模式并对其进行了校准（1998-2006）和验证（2007-2010）以用于水库的水流和KRB的Mohanpur。结果表明，VIC模型在与MC-ALU相对应的日和月尺度上比SC-ALU（NSC> 0.7）改善了水文分量的估计，特别是地表径流和蒸散量（ET）。在纳入非均质农业土地利用（NSC> 0.55和R 尤其是在与MC-ALU相对于SC-ALU的每日和每月时间尺度上的地表径流和蒸散（ET）（NSC> 0.7）。在纳入非均质农业土地利用（NSC> 0.55和R 尤其是在与MC-ALU相对于SC-ALU的每日和每月时间尺度上的地表径流和蒸散（ET）（NSC> 0.7）。在纳入非均质农业土地利用（NSC> 0.55和R²  > 0.55）在1998-2010年期间。这项研究提高了我们对模型设置中农业土地利用变化如何改变流域水文特征的理解，并为基于模型的方法提供了灌溉调度，作物需水量和无通量管理策略的最佳管理实践盆地中的水塔，涡流协方差和溶渗仪。