2004年5月、8月和10月,对黄河壶口一三门峡段渔业水域龙门、风陵渡、三门峡3个断面的环境因子进行了监测,并应用方差、一元线性回归模型和相关模型对溶解氧(DO)、pH、总硬度(TH)、高锰酸盐指数(CODMn)、总碱度(TAlk)进行了分析。结果表明:该段河流DO季节变化差异不显著(P〉0.05);但不同断面之间,龙门与风陵渡、三门峡差异显著(P〈0.05),风陵渡与三门峡之间差异不显著,且2者略低于渔业水质标准限值,分别为渔业水质标准限值的88%和90%;pH、TH、TAlk均与DO的相关性不显著(r〈r0.05且r〈r0.01);CODMn与DO相比较,相关系数r为-0.857,相关性极显著(r〉r0.04)。从所分析因子来看,DO的变异平方和有73.50%是由CODMn。的不同而引起的,CODMn是影响DO的主要因素。从DO的平均含量来看,该河段DO符合渔业水质标准,水质良好。
The environmental factors were monitored in three sections which are Longmen, Fenglingdu and Sanmenxia of the Yellow River on May, August and October in 2004. And the monitoring dates of dissolved oxygen (DO), pH, total hardness (TH), chemical oxygen demand (CODMn), and total alkalinity (Talk) were analyzed with Variance Analysis, Regression Model and correlation Model . The results show that the DO of the monitored areas were low significantly different (P 〉 0.05 ). Among the different sections, the DO value in Longmen was significantly different from that in Fenglingdu and Sanmenxia (P 〈 0.05 ) , and the DO value in Fenglingdu was not significantly different from that in Sanmenxia, which were below the Fisheries Water Quality Standard somewhat. DO in Fenglingdu was 88 percent of Fisheries Water Quality Standard, and in Sanmenxia was 90 percent. DO was not significantly correlative with pH, TH and TAlk(r 〈 r0.05& r 〈 r0.01 )in the study. Compared the data of CODMn and DO, the correlation coefficient of - 0. 857 was obtained, and the correlation was highly significant ( r 〉 r0. 01 ). The Variation square sum of 73.50 percent of DO was caused by the variation of CODMn. It is suggested that CODMn is the main influencing factor of DO. In addition, the average amount of DO in the monitored section complied with Fisheries Water Quality Standard, which showed that the Water Quality was better.