RZWQM2-P模型模拟密歇根州黏壤土磷流失的定标与验证

IF 1.2 4区 农林科学 Q3 AGRICULTURAL ENGINEERING
Md Sami Bin Shokrana, E. Ghane, Z. Qi
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However, there is a need to test the model under different fertilization, soil, climate, and cropping conditions. The objective of this study was to test the model's performance with daily drainage discharge, dissolved reactive phosphorus (DRP), and total phosphorus (TP) load collected from a subsurface-drained field with clay loam soil. We calibrated RZWQM2-P using two years of measured data. Subsequently, we validated RZWQM2-P using a year and nine months of measured data. We used the Nash-Sutcliffe model efficiency (NSE) and percentage bias (PBIAS) statistics for the RZWQM2-P model evaluation. The results showed that the model performance was “good” (daily NSE = 0.66 and PBIAS = -7.16) in predicting hydrology for the calibration period. For the validation period, the hydrology prediction of the model was “very good” (daily NSE = 0.76), but it had a “satisfactory” underestimation bias (PBIAS = 23.57). 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引用次数: 1

摘要

RZWQM2-P在粘土壤土上进行了测试和验证,使用了每日排放和负荷数据。该模型对水文和TP负荷的预测效果较好,但对DRP的预测效果不理想。模型不能模拟施肥事件后地下排水的磷损失是模型性能不理想的原因之一。摘要磷(P)通过地下排水系统的损失和运输是解决淡水系统中有害藻华的主要重点。根区水质模型(RZWQM2-P)中磷(P)规律的最新发展有可能增强我们对地下排水田中磷的命运和向地表水的输送的认识。然而,有必要在不同施肥、土壤、气候和种植条件下对该模型进行测试。本研究的目的是通过从地下排水的粘土壤土中收集的日排水量、溶解活性磷(DRP)和总磷(TP)负荷来测试该模型的性能。我们使用两年的测量数据校准RZWQM2-P。随后,我们使用一年零九个月的测量数据验证了RZWQM2-P。我们使用Nash-Sutcliffe模型效率(NSE)和百分比偏差(PBIAS)统计对RZWQM2-P模型进行评估。结果表明,该模型在预测定标期水文方面表现“良好”(日NSE = 0.66, PBIAS = -7.16)。在验证期内,该模型的水文预测“非常好”(日NSE = 0.76),但存在“令人满意”的低估偏差(PBIAS = 23.57)。在校准(每日NSE = 0.31, PBIAS = -61.50)和验证(每日NSE = 0.32, PBIAS = 43.68)期间,模型在模拟DRP方面的表现都“不令人满意”。在校正期(每日NSE = 0.46, PBIAS = -32.41)和验证期(每日NSE = 0.39, PBIAS = 42.90), P模型在预测TP负荷方面表现出“令人满意”的表现,尽管这两个阶段都显示出“不令人满意”的百分比偏差。在使用日常数据时,由于模型无法在高地下水位或积水条件下将肥料磷划分为不同的磷池,因此表现不佳。综上所述,RZWQM2-P模型对日数据的排水流量表现良好,但需要进一步研究改进模型的P分量。关键词:田间模拟,养分负荷,磷模拟,地下排水,瓦排水,水质
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration and Validation of RZWQM2-P Model to Simulate Phosphorus Loss in a Clay Loam Soil in Michigan
Highlights RZWQM2-P was tested and validated for clay loam soil using daily discharge and load data. The model performed satisfactorily in predicting hydrology and TP load, but DRP prediction was unsatisfactory. Inability of the model to simulate P loss in subsurface drainage discharge after fertilization event was one of the reasons for the unsatisfactory model performance. Abstract. Phosphorus (P) loss and transport through subsurface drainage systems is a primary focus for addressing harmful algal blooms in freshwater systems. The recent development of the phosphorus (P) routine of the Root Zone Water Quality Model (RZWQM2-P) has the potential to enhance our understanding of the fate and transport of P from subsurface-drained fields to surface water. However, there is a need to test the model under different fertilization, soil, climate, and cropping conditions. The objective of this study was to test the model's performance with daily drainage discharge, dissolved reactive phosphorus (DRP), and total phosphorus (TP) load collected from a subsurface-drained field with clay loam soil. We calibrated RZWQM2-P using two years of measured data. Subsequently, we validated RZWQM2-P using a year and nine months of measured data. We used the Nash-Sutcliffe model efficiency (NSE) and percentage bias (PBIAS) statistics for the RZWQM2-P model evaluation. The results showed that the model performance was “good” (daily NSE = 0.66 and PBIAS = -7.16) in predicting hydrology for the calibration period. For the validation period, the hydrology prediction of the model was “very good” (daily NSE = 0.76), but it had a “satisfactory” underestimation bias (PBIAS = 23.57). The model’s performance was “unsatisfactory” in simulating DRP for both calibration (daily NSE = 0.31 and PBIAS = -61.50) and validation (daily NSE = 0.32 and PBIAS = 43.68) periods. The P model showed “satisfactory” performance in predicting TP load for both calibration (daily NSE = 0.46 and PBIAS = -32.41) and validation (daily NSE = 0.39 and PBIAS = 42.90) periods, although both periods showed “unsatisfactory” percent bias. The underperformance may have been due to the model’s inability to partition fertilizer P into different P pools under high water tables or ponding conditions when using daily data. In conclusion, the RZWQM2-P model performed well for drainage discharge with daily data, but further investigation is needed to improve the P component of the model. Keywords: Field-scale modeling, Nutrient load, Phosphorus modeling, Subsurface drainage, Tile drainage, Water Quality.
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