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Influence of ecohydrologic feedbacks from simulated crop growth on integrated regional hydrologic simulations under climate scenarios

机译:气候情景下模拟作物生长的生态水文反馈对综合区域水文模拟的影响

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Hydrologic climate change modelling is hampered by climate-dependent modelparameterizations. To reduce this dependency, we extended the regionalhydrologic modelling framework SIMGRO to host a two-way coupling between thesoil moisture model MetaSWAP and the crop growth simulation model WOFOST,accounting for ecohydrologic feedbacks in terms of radiation fraction thatreaches the soil, crop coefficient, interception fraction of rainfall,interception storage capacity, and root zone depth. Except for the last,these feedbacks are dependent on the leaf area index (LAI). The influence ofregional groundwater on crop growth is included via a coupling to MODFLOW.Two versions of the MetaSWAP-WOFOST coupling were set up: one with exogenousvegetation parameters, the "static" model, and one with endogenous cropgrowth simulation, the "dynamic" model. Parameterization of the static anddynamic models ensured that for the current climate the simulated long-termaverages of actual evapotranspiration are the same for both models.Simulations were made for two climate scenarios and two crops: grass andpotato. In the dynamic model, higher temperatures in a warm year under thecurrent climate resulted in accelerated crop development, and in the caseof potato a shorter growing season, thus partly avoiding the late summerheat. The static model has a higher potential transpiration; depending onthe available soil moisture, this translates to a higher actualtranspiration. This difference between static and dynamic models is enlargedby climate change in combination with higher CO2 concentrations.Including the dynamic crop simulation gives for potato (and other annualarable land crops) systematically higher effects on the predicted rechargechange due to climate change. Crop yields from soils with poor waterretention capacities strongly depend on capillary rise if moisture supplyfrom other sources is limited. Thus, including a crop simulation model in anintegrated hydrologic simulation provides a valuable addition for hydrologicmodelling as well as for crop modelling.
机译:水文气候变化模型受到与气候有关的模型参数设置的阻碍。为了减少这种依赖性,我们扩展了区域水文学模型框架SIMGRO,以在土壤水分模型MetaSWAP和作物生长模拟模型WOFOST之间进行双向耦合,从而考虑了到达土壤的辐射分数,作物系数,截留分数的生态水文学反馈。降雨,截留存储量和根区深度的关系。除了最后一个,这些反馈取决于叶面积指数(LAI)。通过与MODFLOW的耦合包括了区域地下水对作物生长的影响。建立了两个版本的MetaSWAP-WOFOST耦合:一个具有外生植被参数的“静态”模型,以及一个具有内生作物生长模拟的“动态”模型。 。静态和动态模型的参数化确保了在当前气候下两个模型的实际蒸散量的模拟长期平均值相同。对两种气候情景和两种作物(草和马铃薯)进行了仿真。在动态模型中,当前气候下温暖年份的高温导致作物生长加快,而马铃薯的生长季节较短,从而部分避免了夏末的高温。静态模型具有更高的潜在蒸腾作用;取决于可用的土壤水分,这意味着更高的实际蒸腾量。气候变化以及较高的CO 2 浓度会加剧静态模型和动态模型之间的这种差异。包括动态作物模拟在内,马铃薯(和其他可年度耕种的作物)对系统预测的补给量变化的系统性影响更大,原因是气候变化。如果限制其他来源的水分供应,保水能力差的土壤的农作物产量很大程度上取决于毛细血管的上升。因此,在综合水文模拟中包括作物模拟模型为水文模拟以及作物模拟提供了有价值的补充。

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