Method of pedotransfer modeling of soil moisture supply on sloping lands

V. O. Belolipsky, T. M. Laktionova, M. M. Polulyakh
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Abstract

The purpose of the article is to describe a method for developing pedotransfer models for predicting soil moisture supply within an agricultural landscape on sloping, eroded lands (in Luhansk region) during different stages of the growing season of agricultural crops. The models are based on calculating the coefficient of moisture deficit in the soil or the coefficient of moisture content (for April) — predictors. The following factors were used as predictors in pedotransfer models: the amount of precipitation during the growing season; soil moisture coefficient in April; Hydrothermal coefficient; coefficient of normalized atmospheric precipitation for the cold period; humus content in the layer 0-20 cm; soil washout coefficient; the bulk density of the soil in the layer 0-20 cm; height on the profile; coefficient of protective action of forest belts; coefficient of agrobackground. The initial information is a systematized set of data — hydrological characteristics of agricultural landscapes and soil properties, partially published by the authors earlier in the guidelines. The method of pedotransfer modeling of soil moisture supply on slope lands includes sequential mathematical and statistical analysis (using GIS technologies) according to the following thematic stages: (i) selection of factors affecting soil moisture supply as predictors of pedotransfer models; (ii) cluster analysis of the efficiency of soil moisture supply factors in the catchments of the agricultural landscape; (iii) development of pedotransfer models of soil moisture supply based on fragments of the growing season of crops by constructing regression equations and assessing the adequacy of the models by statistical criteria. The models are developed taking into account the phases (periods) of organogenesis of crops and the sequence of agrotechnical measures in the soil protection system of agriculture. It was found that among the studied factors, the most influential factor in predicting the soil moisture supply in any period is the agrophone factor, the share of which in different models ranges from 46 to 89 %. At the same time, the share of the influence of the natural factor of humidification — the Hydrothermal coefficient, is limited to the range of 10–17 %. It is shown that according to the results of predicting the moisture deficit in the soil, the territory of the agricultural landscape can be conditionally divided into working areas for the development of a differentiated system of practical agrotechnical measures to correct the supply of plants with productive moisture.
坡地土壤水分供给的土壤迁移模拟方法
本文的目的是描述一种开发土壤转移模型的方法,用于预测农业景观中坡地、侵蚀土地(在卢甘斯克地区)在农作物生长季节的不同阶段的土壤水分供应。这些模型是基于计算土壤水分亏缺系数或水分含量系数(4月)-预测因子。土壤迁移模型采用以下因子作为预测因子:生长季降水量;4月土壤水分系数;水热系数;冷期大气降水归一化系数;0 ~ 20 cm土层腐殖质含量;土壤冲刷系数;0 ~ 20 cm土层的容重;轮廓上的高度;林带保护作用系数;农业背景系数。最初的信息是一组系统化的数据-农业景观和土壤特性的水文特征,部分由作者在指南的前面发表。坡地土壤水分供应的土壤迁移模型方法包括顺序数学和统计分析(利用GIS技术),根据以下主题阶段:(1)选择影响土壤水分供应的因素作为土壤迁移模型的预测因子;(ii)农业景观流域土壤水分供应因子效率的聚类分析;(3)构建回归方程,利用统计准则评价模型的充分性,建立了基于作物生长期片段的土壤水分供应土壤转移模型。这些模型的建立考虑了作物器官发生的阶段(期)和农业土壤保护系统中农业技术措施的顺序。结果表明,在所有研究因子中,对任何时期土壤水分供应影响最大的因子是农业电话因子,其在不同模型中的占比在46% ~ 89%之间。同时,加湿的自然因素——水热系数的影响份额被限制在10 - 17%的范围内。结果表明,根据土壤水分亏缺的预测结果,可以有条件地将农业景观领域划分为工作区域,以便制定差异化的实用农业技术措施系统,以纠正植物的生产水分供应。
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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