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评估 SWAT 模型在阿根廷潘帕斯地区有限可用数据条件下模拟流域的能力。

Assessment of the SWAT model to simulate a watershed with limited available data in the Pampas region, Argentina.

机构信息

French Argentine International Center for Information and Systems Sciences, National Scientific and Technical Research Council of Argentina, Rosario National University, Ocampo and Esmeralda, Rosario S2000, Argentina.

French Argentine International Center for Information and Systems Sciences, National Scientific and Technical Research Council of Argentina, Rosario National University, Ocampo and Esmeralda, Rosario S2000, Argentina.

出版信息

Sci Total Environ. 2017 Oct 15;596-597:437-450. doi: 10.1016/j.scitotenv.2017.01.041. Epub 2017 Apr 26.

Abstract

Argentina has been among the world leaders in the production and export of agricultural products since the 1990s. The Carcarañá River Lower Basin (CRLB), a cropland of the Pampas region supplied by extensive rainfall, is located in an area with few streamgauging and other hydrologic/water-quality stations. Therefore, limited hydrologic data are available resulting in limited water-resources assessment. This work explores the application of Soil and Water Assessment Tool (SWAT) model to the CRLB in the Santa Fe province of the Pampas region. The analysis of field and remote-sensing data characterizing hydrology, water quality, soil types, land use/land cover, management practices, and crop yield, guarantee a comprehensive SWAT modeling approach. A combined manual and automated calibration and validation process incorporating sensitivity and uncertainty analysis is performed using information concerning interior watershed processes. Eleven N/P fertilizer rates are selected to simulate the impact of N fertilizer on crop yield, plant uptake, as well as runoff and leaching losses. Different indices (partial factor productivity, agronomic efficiency, apparent crop recovery efficiency of applied nutrient, internal utilization efficiency, and physiological efficiency) are considered to assess nitrogen-use efficiency. The overall quality of the fit is satisfactory considering the input data limitations. This work provides, for the first time in Argentina, a reliable tool to simulate yield response to soil quality and water availability capable to meet defined environmental targets to support decision making on planning public policies and private activities on the Pampas region.

摘要

阿根廷自 20 世纪 90 年代以来一直是农产品生产和出口的世界领先者之一。卡卡拉纳河下游流域(CRLB)是潘帕斯地区的一片耕地,由广泛的降雨供应,位于一个溪流测量和其他水文/水质站较少的地区。因此,可用的水文数据有限,导致水资源评估有限。本工作探讨了在潘帕斯地区圣达菲省的 CRLB 中应用土壤和水评估工具(SWAT)模型。通过对表征水文学、水质、土壤类型、土地利用/土地覆盖、管理实践和作物产量的现场和遥感数据的分析,保证了全面的 SWAT 建模方法。使用有关内部流域过程的信息,执行了结合手动和自动校准和验证过程,包括敏感性和不确定性分析。选择了 11 种 N/P 肥料率来模拟氮肥对作物产量、植物吸收以及径流和淋失损失的影响。考虑了不同的指数(部分因子生产力、农学效率、应用养分的表观作物回收效率、内部利用效率和生理效率)来评估氮利用效率。考虑到输入数据的局限性,拟合的整体质量令人满意。这项工作首次在阿根廷提供了一种可靠的工具,可模拟土壤质量和水可用性对产量的响应,能够满足既定的环境目标,为潘帕斯地区的公共政策和私人活动规划提供决策支持。

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