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控释肥料的数学建模与模拟研究综述。

A review of mathematical modeling and simulation of controlled-release fertilizers.

机构信息

Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia.

Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia.

出版信息

J Control Release. 2018 Feb 10;271:45-54. doi: 10.1016/j.jconrel.2017.12.017. Epub 2017 Dec 22.

Abstract

Nutrients released into soils from uncoated fertilizer granules are lost continuously due to volatilization, leaching, denitrification, and surface run-off. These issues have caused economic loss due to low nutrient absorption efficiency and environmental pollution due to hazardous emissions and water eutrophication. Controlled-release fertilizers (CRFs) can change the release kinetics of the fertilizer nutrients through an abatement strategy to offset these issues by providing the fertilizer content in synchrony with the metabolic needs of the plants. Parametric analysis of release characteristics of CRFs is of paramount importance for the design and development of new CRFs. However, the experimental approaches are not only time consuming, but they are also cumbersome and expensive. Scientists have introduced mathematical modeling techniques to predict the release of nutrients from the CRFs to elucidate fundamental understanding of the dynamics of the release processes and to design new CRFs in a shorter time and with relatively lower cost. This paper reviews and critically analyzes the latest developments in the mathematical modeling and simulation techniques that have been reported for the characteristics and mechanisms of nutrient release from CRFs. The scope of this review includes the modeling and simulations techniques used for coated, controlled-release fertilizers.

摘要

由于挥发、淋溶、反硝化和地表径流等原因,未包膜肥料颗粒释放到土壤中的养分不断流失。这些问题导致了由于养分吸收效率低而造成的经济损失,以及由于危险排放物和水体富营养化而造成的环境污染。控释肥料(CRF)可以通过减排策略改变肥料养分的释放动力学,通过同步提供肥料含量来抵消这些问题,以满足植物的代谢需求。对 CRF 释放特性的参数分析对于新 CRF 的设计和开发至关重要。然而,实验方法不仅耗时,而且繁琐且昂贵。科学家们已经引入了数学建模技术来预测 CRF 中养分的释放,以阐明释放过程动力学的基本理解,并在更短的时间内以相对较低的成本设计新的 CRF。本文综述并批判性分析了最近报道的用于控释肥料的特性和养分释放机制的数学建模和模拟技术的最新进展。本综述的范围包括用于包膜、控释肥料的建模和模拟技术。

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