Global Sensitivity Analysis of Key Parameters in the APSIMX-Sugarcane Model to Evaluate Nitrate Balance via Treed Gaussian Process

Global Sensitivity Analysis of Key Parameters in the APSIMX-Sugarcane Model to Evaluate Nitrate Balance via Treed Gaussian Process
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DOI:
10.3390/agronomy12081979
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发表时间:
2022-08
期刊:
Agronomy
影响因子:
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通讯作者:
R. H. Rathnappriya;K. Sakai;Ken Okamoto;S. Kimura;Tomokazu Haraguchi;Tamotsu Nakandakari;H. Setouchi;W. Bandara
R. H. Rathnappriya;K. Sakai;Ken Okamoto;S. Kimura;Tomokazu Haraguchi;Tamotsu Nakandakari;H. Setouchi;W. Bandara
中科院分区:
其他
文献类型:
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作者:
R. H. Rathnappriya;K. Sakai;Ken Okamoto;S. Kimura;Tomokazu Haraguchi;Tamotsu Nakandakari;H. Setouchi;W. Bandara

文献摘要

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直接监测农田硝酸盐平衡的困难揭示了对硝酸盐平衡影响参数进行建模和量化的重要性。我们使用树木高斯过程构建了 ASIMX-甘蔗的元模型,并在三种条件下对硝酸盐吸收和淋滤进行了全局敏感性分析:(1)裸地(BL)以检查土壤水力特性的影响,(2)辐射利用效率(RUE)范围(i)1.2–1.8 [无氮(a)]和(ii)1.8–2.5下的无氮处理[无氮(b)]和(3)尿素条件以检查对植物生长的影响。生成的元模型显示出良好的准确性(对于所有条件:R2 > 0.70;NRMSE 0.90)。最有影响的参数(敏感性指数≥0.02)如下:对于BL中淋失的NO3−N:该参数与所有土层的饱和度和田间持水量之间的水的饱和流量比例(SWCON)有关;对于无 N(a) 和尿素中 NO3− 吸收和浸出的 NO3−N:物候阶段 (PS) 3 (RUE3) 和 4 的 RUE,PS 4 (NCL4) 的 tt_e​​merg_to_begcane、green_leaf_no 和 y_n_conc_crit_leaf;无氮 (b):0-15 cm 土层的 RUE3、NCL4 和 SWCON; 15-30 cm,这证实了影响参数取决于氮应力。这项研究的结果有助于提高作物建模的准确性和效率。
Difficulties in direct monitoring of nitrate balance in agricultural fields reveal the importance of modeling and quantifying the affecting parameters on nitrate balance. We constructed meta-models for APSIMX-Sugarcane using the treed gaussian process and conducted a global sensitivity analysis for nitrate uptake and leaching under three conditions: (1) bare land (BL) to examine the influence of soil hydraulic characteristics, (2) N-free treatment under radiation use efficiency (RUE) ranges (i) 1.2–1.8 [N-free(a)] and (ii) 1.8–2.5 [N-free(b)], and (3) urea conditions to examine the influence of plant growth. Generated meta-models showed good accuracy (for all conditions: R2 > 0.70; NRMSE 0.90). The most influential parameters (sensitivity indices ≥ 0.02) were as follows: for leached NO3−N in BL: the parameter rerated to saturated flow-proportion of water between saturation and field capacity (SWCON) of all soil layers; for NO3− uptake and leached NO3−N in N-free(a) and urea: RUE of the phenological stage (PS) 3 (RUE3) and 4, tt_emerg_to_begcane, green_leaf_no, and y_n_conc_crit_leaf of PS 4 (NCL4); in N-free(b): RUE3, NCL4, and SWCON of soil layers 0–15 cm; 15–30 cm, which confirmed that influential parameters were depended on N-stress. The outcomes of this study are useful for enhancing the accuracy and efficiency of crop modeling.