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耦合 DSSAT-SWAT 模型减少地中海灌溉流域的场外 N 污染。

Coupled DSSAT-SWAT models to reduce off-site N pollution in Mediterranean irrigated watershed.

机构信息

Department of Soil and Irrigation (EEAD-CSIC Associated Unit), Agrifood Research and Technology Centre of Aragon (CITA), Avda. Montañana 930, 50059 Zaragoza, Spain.

Department of Soil and Irrigation (EEAD-CSIC Associated Unit), Agrifood Research and Technology Centre of Aragon (CITA), Avda. Montañana 930, 50059 Zaragoza, Spain; AgriFood Institute of Aragon - IA2 (CITA-University of Zaragoza), Zaragoza, Spain.

出版信息

Sci Total Environ. 2020 Nov 25;745:141000. doi: 10.1016/j.scitotenv.2020.141000. Epub 2020 Jul 18.

Abstract

In any agricultural watershed, best management practices (BMPs) are a conservational way to reduce non-point source pollution and, soil and water resources sustainability. The objectives of this study were to calibrate and validate the modified Soil and Water Assessment Tool (SWAT) in the Violada Watershed (VW), Spain and assess the BMPs scenarios, already tested at field scale, using the Decision Support System for Agro Technology Transfer model (DSSAT), and finally, to access the BMPs impact on water quality off-site. To this end, daily streamflow discharge and NO concentration were measured at VW outlet from October 2015 to September 2017 for model evaluation. The SWAT-CUP was used for sensitivity analysis, calibration and validation for both measured variables after manual calibration of the main crops yield. Three management scenarios were compared to the current conditions (baseline): (i) recommended N fertilization, (ii) optimum irrigation and; (iii) combined recommended N fertilization and optimum irrigation (combined BMPs). The SWAT crop growth model calibration demonstrated that the annual average of crop yield and actual evapotranspiration estimations were satisfactory. Monthly calibration and validation results were satisfactory for streamflow discharge and NO-N load, with Nash-Sutcliffe efficiency (NSE) according to the criteria reported in the literature. The two individual scenarios results showed difference in their environmental impact and therefore combined BMPs scenario was considered more efficient in reducing NO-N load (51%) than the recommended N fertilization (36%) and the optimum irrigation (12%), while including all additional environment and farmers' benefits of both individual scenarios. Under this combined scenarios, all crops yields were maintained or increased, and the total irrigation water and N mineral fertilizers application reduction were about 5% and 27%, respectively. However, further work is still needed to consider additional BMPs to limit the soil N residual losses during the non-cropped period. The applied methodology can be a good alternative for improving water quality in similar irrigated watersheds.

摘要

在任何农业流域,最佳管理措施(BMPs)是减少非点源污染和土壤及水资源可持续性的保护方式。本研究的目的是校准和验证已在西班牙 Violada 流域(VW)进行实地测试的改良土壤和水评估工具(SWAT),并使用决策支持系统农业技术转让模型(DSSAT)评估 BMPs 情景,最后评估 BMPs 对场外水质的影响。为此,从 2015 年 10 月到 2017 年 9 月,在 VW 出口处测量了每日的溪流流量和 NO3-浓度,以进行模型评估。SWAT-CUP 用于在手动校准主要作物产量后,对两种测量变量进行敏感性分析、校准和验证。将三种管理情景与当前条件(基线)进行了比较:(i)推荐的氮肥施肥,(ii)最佳灌溉;(iii)推荐的氮肥施肥和最佳灌溉相结合(综合 BMPs)。SWAT 作物生长模型的校准表明,作物产量和实际蒸散量的年平均值估算令人满意。每月的校准和验证结果对溪流流量和 NO3-N 负荷的结果令人满意,纳什-苏特克里夫效率(NSE)符合文献中报告的标准。两个单独情景的结果表明,它们对环境的影响存在差异,因此,与推荐的氮肥施肥(36%)和最佳灌溉(12%)相比,综合 BMPs 情景在减少 NO3-N 负荷(51%)方面更为有效,同时包括了两个单独情景的所有额外环境和农民效益。在这种综合情景下,所有作物的产量都保持或增加,总灌溉用水量和 N 矿质肥料的施用量分别减少了约 5%和 27%。然而,仍需要进一步的工作来考虑其他 BMPs,以限制非作物期的土壤 N 残留损失。所应用的方法可以作为改善类似灌溉流域水质的一种很好的替代方法。

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