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A modified water quality index for intensive shrimp ponds of Litopenaeus vannamei

机译:南美白对虾集约化虾塘的改良水质指数

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摘要

A modified water quality index (WQI) was used to evaluate the water quality of intensive culture ponds of Litopenaeus vannamei. Multivariate statistical technique, principal component analysis (PCA), was applied to interpret the large complex water quality data set generated over a span of 120 days (from 1st July to 28th October, 2008) with weekly monitoring of 11 variables in four different shrimp ponds. The PCA revealed three, four, three, and three latent factors that accounted for 82.843%, 81.6%, 81.629%, and 84.801% of the total variance in the water quality data sets from each of the four shrimp ponds, respectively. The varifactors indicated that the variables responsible for water quality deterioration were mainly related to organic matter group (COD and BOD_5), natural condition group (pH and T), and nutrient group (TAN, Chl-a and DIP) in intensive shrimp ponds. A modified WQI based on the varifactors was applied to evaluate the water quality in shrimp culture ponds. The result revealed that the overall water quality in the shrimp ponds were mainly excellent during the early period and deteriorated in the mid to late period. The WQI evaluates water quality synthetically; furthermore, it reveals the outcome when some of the other variables deteriorate significantly. Thus, this study illustrates the necessity and usefulness of multivariate statistical techniques for interpreting large and complex data sets regarding water quality in shrimp culture pond. Furthermore, the evaluation results revealed that the modified WQI can be used as a tool for determining water quality.
机译:修改后的水质指数(WQI)用于评价南美白对虾集约化养殖池的水质。应用多元统计技术,主成分分析(PCA)来解释在120天(2008年7月1日至10月28日)的120天内生成的大型复杂水质数据集,并每周监视四个不同虾塘中的11个变量。 PCA揭示了三个,四个,三个和三个潜在因素,分别占四个虾池中每个池塘水质数据集总方差的82.843%,81.6%,81.629%和84.801%。结果表明,集约化虾塘中造成水质恶化的变量主要与有机物组(COD和BOD_5),自然条件组(pH和T)和营养组(TAN,Chl-a和DIP)有关。基于变量的改进的WQI被用于评估虾养殖池塘的水质。结果表明,虾池的总体水质在早期主要是优异的,而在中后期则恶化了。 WQI综合评估水质;此外,它揭示了其他一些变量显着恶化时的结果。因此,本研究说明了使用多元统计技术来解释有关虾养殖池塘水质的大型和复杂数据集的必要性和实用性。此外,评估结果表明,改进的WQI可以用作确定水质的工具。

著录项

  • 来源
    《Ecological indicators》 |2013年第1期|287-293|共7页
  • 作者单位

    College of Fisheries, Ocean University of China, 5 Yushan Road, Qingdao 266003, People's Republic of China;

    College of Fisheries, Ocean University of China, 5 Yushan Road, Qingdao 266003, People's Republic of China;

    College of Fisheries, Ocean University of China, 5 Yushan Road, Qingdao 266003, People's Republic of China;

    Liaoning Key Laboratory of Marine Fishery Molecular Biology, Liaoning Ocean and Fishery Science Institute, Dalian 116023, People's Republic of China College of Fisheries, Ocean University of China, 5 Yushan Road, Qingdao 266003, People's Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    WQI; principal component analysis; culture system; water quality variable; shrimp;

    机译:WQI;主成分分析文化体系;水质变量;虾;

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