Geographic information system and process-based modeling of soil erosion and sediment yield in agricultural watershed

IF 3.1 Q2 ENVIRONMENTAL SCIENCES
G. Puno, R. Marin, R. Puno, A. G. Toledo-Bruno
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引用次数: 2

Abstract

BACKGROUND AND OBJECTIVES: The study explored the capability of the geographic information system interface for the water erosion prediction project, a process-based model, to predict and visualize the specific location of soil erosion and sediment yield from the agricultural watershed of Taganibong. METHODS: The method involved the preparation of the four input files corresponding to climate, slope, land management, and soil properties. Climate file processing was through the use of a breakpoint climate data generator. The team had calibrated and validated the model using the observed data from the three monitoring sites. FINDINGS: Model evaluation showed a statistically acceptable performance with coefficient of determination values of 0.64 (probability value = 0.042), 0.85 (probability value = 0.000), and 0.69 (probability value = 0.001) at 95% level, for monitoring sites 1, 2, and 3, respectively. A further test revealed a statistically satisfactory model performance with root mean square error-observations standard deviation ratio, Nash-Sutcliffe efficiency, and percent bias of 0.62, 0.61, and 44.30, respectively, for monitoring site 1; 0.65, 0.56, and 25.60, respectively, for monitoring site 2; and 0.60, 0.65, and 27.90, respectively, for monitoring site 3. At a watershed scale, the model predicted the erosion and sediment yield at 89 tons per hectare per year and 22 tons per hectare per year, respectively, which are far beyond the erosion tolerance of 10 tons per hectare per year. The sediment delivery ratio of 0.20 accounts for a total of 126,390 tons of sediments that accumulated downstream in a year. CONCLUSION: The model generated maps that visualize a site-specific hillslope, which is the source of erosion and sedimentation. The study enables the researchers to provide information helpful in the formulation of a sound policy statement for sustainable soil management in the agricultural watershed of Taganibong.
农业流域水土流失产沙地理信息系统与过程建模
背景与目的:研究基于过程的水蚀预测模型——地理信息系统接口对塔格尼堡农业流域土壤侵蚀产沙的具体位置进行预测和可视化的能力。方法:编制气候、坡度、土地管理、土壤性质4个输入文件。气候文件处理是通过使用断点气候数据生成器。该小组利用三个监测点的观测数据对模型进行了校准和验证。结果:模型评价显示具有统计学上可接受的性能,在95%水平上,监测站点1、2和3的决定系数分别为0.64(概率值= 0.042)、0.85(概率值= 0.000)和0.69(概率值= 0.001)。进一步的检验显示,监测站点1的均方根误差-观测标准差比、Nash-Sutcliffe效率和百分比偏差分别为0.62、0.61和44.30,具有统计学上令人满意的模型性能;监测点2分别为0.65、0.56、25.60;监测点3分别为0.60、0.65、27.90。在流域尺度上,该模型预测的侵蚀产沙量分别为89吨/公顷/年和22吨/公顷/年,远远超过了10吨/公顷/年的侵蚀容忍度。输沙比为0.20,全年下游累计输沙126390吨。结论:该模型生成的地图显示了特定地点的山坡,这是侵蚀和沉积的来源。该研究使研究人员能够提供有助于制定合理的政策声明,以促进塔格尼蓬农业流域的可持续土壤管理的信息。
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
CiteScore
7.90
自引率
2.90%
发文量
11
审稿时长
8 weeks
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