...
首页> 外文期刊>Aquacultural Engineering: An International Journal >A model for predicting the quantities of dissolved inorganic nitrogen released in effluents from a sea bass (Dicentrarchus labrax) recirculating water system
【24h】

A model for predicting the quantities of dissolved inorganic nitrogen released in effluents from a sea bass (Dicentrarchus labrax) recirculating water system

机译:预测鲈鱼(Dicentrarchus labrax)循环水系统废水中释放的溶解无机氮量的模型

获取原文
获取原文并翻译 | 示例
           

摘要

Fish excretions and the transformation of nitrogen by bacteria in the nitrifying biofilter are two of the main sources of dissolved inorganic nitrogen (DIN) in fish farms that use recirculating water systems. In this study, the DIN concentration inan experimental Dicentrarchus labrax aquaculture system was calculated using empirical sub-models for fish growth, ingested food and water replacement. The specific growth rate (SGR) (%day~-1) and the daily feeding rate (DFR) (%day~-1) both depend on theaverage weight, W (g), of the fish:Y=aW~b, where Y may be SGR or DFR, and a and b are empirical constants. The DIN discharge rate, #UPSILON#_N(% of ingested nitrogen), in the experimental aquaculture system was expressed as a function of increasing replacement water flow rate, #theta# (day~-1): DIN=_c#theta#~d, where c and d are empirical constants. Only three variables (the number of fish, the initial fish weight and the replacement water flow rate) are required to run the general model, which was tested over a period of 12 months (June 1997-June 1998). This model, calibrated and validated on independent sets of data obtained from the same experimental system, accurately predicted the concentration of DIN in the effluent (r~2=0.92).
机译:在使用循环水系统的养鱼场中,鱼的排泄物和硝化生物滤池中细菌对氮的转化是溶解性无机氮(DIN)的两个主要来源。在这项研究中,实验性Dicentrarchus labrax水产养殖系统中的DIN浓度使用鱼生长,食用食物和水替代的经验子模型进行计算。比生长率(SGR)(%day〜-1)和日摄食率(DFR)(%day〜-1)都取决于鱼的平均体重W(g):Y = aW〜b,其中Y可以是SGR或DFR,a和b是经验常数。在试验水产养殖系统中,DIN排放量#UPSILON#_N(摄入氮的百分比)表示为增加替代水流量的函数#theta#(天〜-1):DIN = _c#theta#〜 d,其中c和d是经验常数。只需3个变量(鱼的数量,鱼的初始重量和替代水的流量)即可运行通用模型,该模型在12个月的时间内进行了测试(1997年6月至1998年6月)。该模型在从同一实验系统获得的独立数据集上进行校准和验证,可以准确预测废水中DIN的浓度(r〜2 = 0.92)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号