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首页> 外文期刊>Journal of the Indian Chemical Society >Assessment of water quality using WQI and prediction of WQI using ANN in some selected coastal villages of Vizianagaram district; Andhra Pradesh
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Assessment of water quality using WQI and prediction of WQI using ANN in some selected coastal villages of Vizianagaram district; Andhra Pradesh

机译：利用VIIIANAGARAM地区一些选定沿海村庄使用ANN的WQI和WQI预测的水质评估; 安德拉邦

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摘要

The present paper is aimed at the assessment of water quality of ground water using Water Quality Index (WQI) method. Seven coastal villages of Vizianagaram district of Andhra Pradesh were selected for the present study. Various physicochemical parameters such as pH, EC, TDS, THW, Ca, Mg, Na, K, Cl, F, nitrite were analyzed for the samples collected. From such data WQI values were computed and it was concluded that the ground water of the villages under study was rated as "poor" in its quality. Artificial Neural networks tool in MATLAB was adopted and the feedback propagation and TRAINGLM program was used to predict the water quality of the ground water using WQI. The ANN predicted WQI values were found to be well in accordance with the experimentally computed values. A relative error of 0.15% between the predicted and experimentally computed values was observed. The regression coefficient values for testing and validation of the program was well within the prescribed limits.
机译：本文旨在使用水质指数（WQI）方法评估地下水的水质。 Andhra Pradesh的Vizianagaram区七个沿海村庄被选为本研究。 分析了各种物理化学参数，例如pH，EC，TDS，THW，Ca，Mg，Na，K，Cl，F，用于收集的样品。 从这些数据计算出来的数据被计算出来，并且得出结论是，在研究中的村庄的地下水被评为其质量的“差”。 采用MATLAB中的人工神经网络工具，使用反馈传播和TRAINGLM程序使用WQI预测地下水的水质。 ANN预测的WQI值是根据实验计算值的很好的。 观察到预测和实验计算值之间的相对误差为0.15％。 用于测试和验证程序的回归系数值在规定的限度范围内很好。

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