Application of GeoWEPP to a cabbage monocropping region: developing agricultural strategies to mitigate water erosion under short-duration intense rainfall

IF 5.4 1区 农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Hiroyuki Yamada , Takuhei Yamasaki , Nobuyuki Kanuma , Taku Nishimura
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引用次数: 0

Abstract

The increasing frequency of short-duration, high-intensity rainfall events has heightened the importance of soil and water conservation (SWC) measures in agricultural watersheds. Evaluating watershed erosion and the effectiveness of SWC practices at a daily rather than an annual temporal scale is increasingly required. However, scenario studies involving the application of models and the quantitative assessment of SWC measures at a daily time step, considering a continuous crop system, remain limited. This study applied the Geo-spatial interface for the Water Erosion Prediction Project (GeoWEPP) to a small mountainous watershed characterized by monoculture cabbage farming to evaluate sediment yield under intense rainfall and examine effective SWC strategies. River discharge and sediment yield were monitored for about three years to investigate runoff characteristics. Based on the monitoring results, GeoWEPP was calibrated on a daily scale. Using the calibrated model, we simulated the impact of SWC measures—such as cover crop introduction and cropping schedule changes—on sediment yield. The results revealed that a few significant runoff events accounted for 60–72% of the annual sediment yield. A significant positive correlation was found between sediment yield and the product of peak flow and daily runoff. The calibrated model demonstrated high prediction accuracy. Simulations of cover crop effects showed substantial reductions in sediment yield, which were attributed not only to surface coverage but also to improved soil permeability that led to reduced surface runoff. Uncertainties mainly arose from uncalibrated peak flow estimation and sediment concentration extrapolation using the LQ equation during extreme events. Also, modeling limitations included the assumption of homogeneous soil conditions across the watershed and default crop growth parameters without local calibration. Despite uncertainties to be addressed, this study demonstrates that GeoWEPP can be an effective and practical predictive tool for evaluating soil conservation measures in agricultural watersheds facing increasingly frequent short-duration intense rainfall events.
GeoWEPP在白菜单种植区的应用:在短时强降雨条件下制定农业策略以减轻水土流失
短时间、高强度降雨事件日益频繁,凸显了农业流域水土保持措施的重要性。越来越需要在每天而不是每年的时间尺度上评估流域侵蚀和SWC实践的有效性。然而,考虑到连作系统,涉及模型应用和每日时间步长SWC措施定量评估的情景研究仍然有限。本研究将水土流失预测项目(GeoWEPP)的地理空间界面应用于一个以单一栽培卷心菜为特征的山区小流域,以评估强降雨条件下的产沙量,并探讨有效的SWC策略。对河流流量和产沙量进行了大约三年的监测,以调查径流特征。根据监测结果,GeoWEPP按日进行校准。利用校准的模型,我们模拟了SWC措施(如覆盖作物的引进和种植时间表的改变)对沉积物产量的影响。结果表明,少数重大径流事件占年产沙量的60-72%。产沙量与峰值流量和日径流量的乘积呈显著正相关。校正后的模型具有较高的预测精度。覆盖作物效应的模拟表明,产沙量大幅减少,这不仅归因于地表覆盖,还归因于土壤渗透性的改善,从而导致地表径流减少。在极端事件中,不确定性主要来自未校准的峰值流量估计和使用LQ方程的泥沙浓度外推。此外,建模的局限性包括假设整个流域的土壤条件均匀,以及没有局部校准的默认作物生长参数。尽管存在不确定性,但该研究表明,GeoWEPP可以作为一种有效实用的预测工具,用于评估农业流域面临日益频繁的短时强降雨事件的土壤保持措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Catena
Catena 环境科学-地球科学综合
CiteScore
10.50
自引率
9.70%
发文量
816
审稿时长
54 days
期刊介绍: Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.
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