首页> 外文期刊>Current Science: A Fortnightly Journal of Research >A season-wise estimation of total dissolved solids from electrical conductance and silica in ground waters of upper Gunjanaeru River basin, Kadapa district, Andhra Pradesh
【24h】

A season-wise estimation of total dissolved solids from electrical conductance and silica in ground waters of upper Gunjanaeru River basin, Kadapa district, Andhra Pradesh

机译:对安得拉邦卡达帕地区上古纳那鲁河流域地下水中的电导率和二氧化硅的总溶解固体进行季节性估算

获取原文
获取原文并翻译 | 示例
       

摘要

In order to establish season-wise relationship between total dissolved solids (TDS), electrical conductance (EC) and silica (SiO_2) in upper Gunjaneru River basin, Kadapa district, Andhra Pradesh, a study has been made by collecting 51 and 46 ground water samples during post-monsoon and pre-monsoon season, respectively. TDS, EC and silica are some of the ground-water quality parameters measured in a laboratory generally. EC and silica measurements are made quickly and are less costly than TDS measurement. The results indicate that 99.7% and 99.8% of the variability in TDS could be ascribed to the variable EC and SiO_2 concentrations and the rest by some other unaccounted variables in the post-monsoon and pre-monsoon season, respectively. Inclusion of SiO_2 concentration in the regression models produces, for individual samples, a lower per cent difference between measured and estimated TDS for both seasons. However, on the average the inclusion of SiO_2 in regression models reduced the mean difference 0.09% for the post-monsoon season and 0.11% for the pre-monsoon. From regression analysis it is found that the multiple regression model did not improve the predictability of TDS values over the linear regression model for both post-monsoon and pre-monsoon seasons. TDS can be estimated from either EC or EC and SiO_2 by these regression models within the acceptable limit of error. This is due to the low content of SiO_2 in the groundwater samples in shale aquifers of the study area.
机译:为了建立安得拉邦卡达帕地区Gunjaneru上游流域的总溶解固体(TDS),电导率(EC)和二氧化硅(SiO_2)之间的季节性关系,通过收集51和46个地下水进行了研究分别在季风后和季风前的季节采样。 TDS,EC和二氧化硅是通常在实验室中测量的一些地下水质量参数。 EC和二氧化硅测量可以快速进行,并且比TDS测量成本更低。结果表明,季风后和季风前季节,TDS的99.7%和99.8%的变化可以归因于EC和SiO_2浓度的变化,其余的则由其他一些未解释的变量引起。在回归模型中将SiO_2浓度包括在内,对于每个样本,两个季节的实测TDS和估算TDS之间的差异较低。然而,平均而言,回归模型中包含SiO_2可以使季风后季节的平均差异降低0.09%,季风前季节的平均差异降低0.11%。从回归分析中发现,无论是季风后季节还是季风前季节,多元线性回归模型都没有比线性回归模型提高TDS值的可预测性。可以通过EC或EC和SiO_2通过这些回归模型在可接受的误差范围内估算TDS。这是由于研究区域的页岩含水层中的地下水样品中的SiO_2含量较低。

著录项

相似文献

  • 外文文献
  • 中文文献
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