解耦鱼菜共生系统质量平衡过程模型

IF 1.2 4区 农林科学 Q3 AGRICULTURAL ENGINEERING
Rohit Kalvakaalva, Mollie Smith, Emmanuel Ayipio, Caroline Blanchard, S. Prior, G. Runion, D. Wells, David M. Blersch, S. Adhikari, R. Prasad, T. Hanson, Nathan Wall, Brendan T. Higgins
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引用次数: 1

摘要

在SuperPro Designer中开发了大型解耦鱼菜共生系统的质量平衡过程模型。氮、磷和碳的流量是在系统运行一整年的过程中确定的。罗非鱼平均吸收了21.6%的输入氮,而黄瓜平均仅吸收了2.81%。该模型适合于系统的长期模拟,但不能有效预测短期效应。摘要水菜共生是利用富含硝酸盐和磷酸盐的废水进行作物生产的一种可行的解决水产养殖水污染的方法。本研究的目的是在阿拉巴马州奥本的一个养殖尼罗罗非鱼(Oreochromis niloticus)和黄瓜(Cucumis sativus)的中试水培设施的基础上建立一个质量平衡过程模型。这使得人们能够更好地理解关键元素如何在不同的下游过程中分配,最终影响植物可利用的营养物质或排放到环境中。数据收集自一个中试解耦水培系统整整一年的数据,包括每周水质、直接温室气体排放和水流量。生物固体、鱼类和植物的质量也进行了量化和元素分析。这些测量结果一起用于创建质量分配的化学计量方程。在SuperPro Designer软件中建立了一个质量平衡过程模型。这个模型有四个不同的变体,每个季节一个。模型表明,罗非鱼吸收了21.6%的输入氮,植物仅吸收了2.81%;罗非鱼吸收了33%的输入磷,植物吸收了2.6%。模拟的鱼缸、澄清池和工厂流出的硝酸盐浓度平均分别为440、441和307 mg L-1,而平均测量值为442、406和298 mg L-1。在一年的过程中,模拟的鱼缸、澄清池和植物流出的磷酸盐浓度分别为25、27和20 mg L-1,而平均测量值为30、31和26 mg L-1。该模型不适合预测短期的系统变化。所构建的模型在预测基于上游操作变化的系统输出的长期变化方面有希望,并且对模拟和场景分析是有效的。关键词:鱼菜共生,质量平衡,氮磷,过程模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mass-Balance Process Model of a Decoupled Aquaponics System
Highlights A mass balanced process model for a large, decoupled aquaponics system was developed in SuperPro Designer. The flows of N, P, and C were determined over the course of a full year of system operation. On average, tilapia assimilated 21.6% of the input nitrogen, while cucumber plants only assimilated an average of 2.81%. The model was suitable for long-term system simulation but was not effective at predicting short term effects. Abstract. Aquaponics presents a viable solution to water pollution from aquaculture by utilizing nitrate- and phosphate-rich effluent for crop production. The objective of this study was to develop a mass-balanced process model based on a pilot-scale aquaponics facility growing Nile tilapia (Oreochromis niloticus) and cucumbers (Cucumis sativus) in Auburn, Alabama. This enabled a better understanding of how key elements partition among different downstream processes, ultimately affecting nutrients available to plants or discharged to the environment. Data were collected from a pilot scale decoupled aquaponics system for a full calendar year and included weekly water quality, direct GHG emissions, and water flows. Bio-solids, fish mass, and plant mass were also quantified and underwent elemental analysis. Together, these measurements were used to create stoichiometric equations for mass partitioning. The resulting stoichiometry was used to develop a mass-balanced process model constructed in SuperPro Designer software. Four separate variations of the model were developed, one for each season. The model showed that 21.6% of input nitrogen was assimilated by tilapia and only 2.81% by plants, while 33% of input phosphorus was assimilated by tilapia and 2.6% by plants. Modeled effluent concentrations of nitrate from the fish tank, clarifier, and plants averaged 440, 441, and 307 mg L-1, respectively, compared to average measured values of 442, 406, and 298 mg L-1. Modeled effluent phosphate concentrations from the fish tank, clarifier, and plants were 25, 27, and 20 mg L-1 of phosphate, respectively, over the course of one year, while average measured values were 30, 31, and 26 mg L-1. The model was not suitable for predicting short term system changes. The constructed model shows promise in predicting long-term changes in system outputs based on upstream operational changes and is effective for simulation and scenario analysis. Keywords: Aquaponics, Mass balance, Nitrogen, Phosphorus, Process Model.
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