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Evaluating impacts of climate change on hydrology and total nitrogen loads using coupled APEX-paddy and SWAT models

机译:使用耦合的顶点稻和SWAT模型评估气候变化对水文和总氮负荷的影响

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Climate change is currently one of the most critical issues in watershed management, and typical paddy systems should be addressed by watershed modeling approach in paddy-dominant landscapes. This study is designed to evaluate and enhance the watershed modeling approach currently used to characterize the impacts of climate change on hydrologic and water quality responses while considering a paddy environment. APEX-paddy, which is a newly developed and modified APEX (Agricultural Policy/Environmental eXtender) model for paddy ecosystems, was coupled with SWAT (Soil and Water Assessment Tool) model to take advantage of the strengths of the two models. The resulting hybrid model, SWAPX, was calibrated and validated using observed data from 2008 to 2017 for two sites in the study watershed. Compared to SWAT, the accuracy of SWAPX was improved, showing statistically better results in the downstream including more paddy field areas. Ten GCMs were selected, and the characteristics of these GCMs were evaluated to assess the impacts of climate change scenarios. When applying the climate change scenarios to the SWAPX model, the results indicated that the future streamflow would increase due to increased rainfall. The results also showed that total nitrogen (T-N) loads would increase rapidly in the near future, then decrease gradually through the 2090s (2091-2100). T-N load was affected by the characteristics of rainfall patterns (e.g., daily maximum rainfall and rainfall intensity) occurring in various GCMs. This approach will be helpful for decision-makers in adapting to climate change and evaluating Best management practices (BMP) for paddy-dominant watersheds.
机译:气候变化目前是流域管理中最关键的问题之一,典型的稻谷系统应通过水稻主导景观中的流域建模方法来解决。本研究旨在评估和增强目前用于表征气候变化对水文和水质响应的影响的流域建模方法,同时考虑稻谷环境。 Apex-paddy是一种新开发和修改的Apex(农业政策/环境扩展器)模型,用于稻谷生态系统,与SWAT(土壤和水评估工具)模型相结合,以利用两种型号的优势。由2008年至2017年的观察数据进行校准和验证所产生的混合模型Swapx,对于研究流域的两个地点,使用观察到的数据。与SWAT相比,SWAPX的准确性得到改善,在下游的统计上显示出统计上更好的结果,包括更多的稻田区域。选择了10个GCM,评估了这些GCM的特征,以评估气候变化情景的影响。在将气候变化方案应用于Swapx模型时,结果表明未来的流流量会因降雨量增加而增加。结果还表明,在不久的将来,总氮(T-N)负载将迅速增加,然后通过2090s(2091-2100)逐渐降低。 T-N负载受到各种GCMS发生的降雨模式(例如,日本最大降雨和降雨强度)的特点的影响。这种方法将有助于决策者适应气候变化和评估稻田优势流域的最佳管理实践(BMP)。

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