[1]黄学平,李薇,万金保,等.基于SPSS因子分析的养猪废水中藻生长适应性综合评价[J].江西师范大学学报(自然科学版),2015,(01):94-100.
 HUANG Xueping,LI Wei,et al.The Comprehensive Evaluation about Algal Growth Adaptability in Swine Wastewater Based on Factor Analysis of SPSS Software[J].Journal of Jiangxi Normal University:Natural Science Edition,2015,(01):94-100.
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基于SPSS因子分析的养猪废水中藻生长适应性综合评价()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2015年01期
页码:
94-100
栏目:
出版日期:
2015-02-10

文章信息/Info

Title:
The Comprehensive Evaluation about Algal Growth Adaptability in Swine Wastewater Based on Factor Analysis of SPSS Software
作者:
黄学平;李薇;万金保;柯颖;洪涛;谢友林;陈孝挺
1.南昌大学环境与化学工程学院,鄱阳湖环境与资源利用教育部重点实验室,江西 南昌 330047; 2.南昌工程学院土木与建筑工程学院,江西省水利土木特种加固技术与安全监控工程研究中心,江西 南昌 330099; 3.江西省生物科技职业学院经济贸易系,江西 南昌 330200; 4.南昌工程学院学报编辑部,江西 南昌 330099
Author(s):
HUANG XuepingLI WeiWAN JinbaoKE YingHONG TaoXIE YoulinCHEN Xiaoting
关键词:
SPSS 因子分析 养猪废水 藻生长适应性 小球藻
Keywords:
SPSS factor analysis swine wastewater algae growth adaptability Chlorella
分类号:
X 713
文献标志码:
A
摘要:
基于SPSS软件的因子分析法,对小球藻、栅藻、微囊藻3类藻在养猪废水8种不同处理阶段的水样中进行藻生长适应性综合评价研究,旨在为分析评价藻在养猪废水中的生长适应性、养猪废水作为藻类培养基的可能性.研究结果表明:8种水样中原水的营养成分较适合藻生长,3种藻类中小球藻生长的综合适应能力最强,小球藻能在养猪废水中生长成为优势藻种.
Abstract:
Based on factor analysis of SPSS software,it was researched that the growth adaptability of three kinds algae such as Chlorella,Scenedesmus and Microcystis in eight differentstages of swine wastewater treatment.It aimed at making a certain exploration to analysis and evaluation about the adaptability of algal growth in swine wastewater and the possibility of pig wastewater as algae culture medium.The research results showed that in all the eight wastewater samples,the raw wastewater's nutrition is more suitable for algal growth,and Chlorella grow strongest in swine wastewater and can become dominant species.

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相似文献/References:

[1]崔 迎.用模拟方法确定因子分析中因子数的实证研究[J].江西师范大学学报(自然科学版),2016,40(05):456.
 Cui Ying.A Simulation Approach to Selecting the Appropriate Method of Determining the Number of Factors to Retain in Factor Analysis[J].Journal of Jiangxi Normal University:Natural Science Edition,2016,40(01):456.

备注/Memo

备注/Memo:
国家自然科学基金(41261097,51209115);江西省科技计划课题(20121BBF60052);江西省科技厅自然科学基金(20132BAB203024);南昌大学鄱阳湖环境与资源利用教育部重点实验室开放基金(13005875);江西省高等学校大学生创业计划;南昌工程学院大学生科研训练计划
更新日期/Last Update: 1900-01-01