A modified water quality index for intensive shrimp ponds of Litopenaeus vannamei
A modified water quality index for intensive shrimp ponds of Litopenaeus vannamei
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DOI：
10.1016/j.ecolind.2012.06.024
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发表时间：
2013-01-01
影响因子：
6.9
通讯作者：
Gao, Lei
中科院分区：
文献类型：
--
作者：
Ma, Zhen;Song, Xiefa;Gao, Lei
采用改良水质指数（WQI）对凡纳滨对虾集约化养殖池塘的水质进行了评价。采用多元统计技术——主成分分析（PCA），对4个不同虾池120天（2008年7月1日至10月28日）内生成的大型复杂水质数据集进行了解释，并对11个变量进行了每周监测。主成分分析显示，3、4、3和3个潜在因子分别占4个对虾池水质数据总方差的82.843%、81.6%、81.629%和84.801%。变异因子分析表明，集约化对虾池水质恶化的变异因子主要与有机质组（COD和BOD5）、自然条件组（pH和T）和养分组（TAN、Chl-a和DIP）有关。应用基于变异因子的改进WQI对对虾养殖池塘水质进行了评价。结果表明：该对虾池水质总体上前期以优良为主，中后期水质恶化；WQI对水质进行综合评价，揭示了其他变量显著恶化时的结果。因此，本研究说明了多元统计技术在解释关于对虾池水质的大型和复杂数据集方面的必要性和实用性。评价结果表明，改进后的WQI可作为水质评价的工具。(C) 2012 Elsevier Ltd.版权所有。
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 BOD5), 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. (C) 2012 Elsevier Ltd. All rights reserved.