用人工神经网络方法预测斯里卡库拉姆流域地下水水质指标

Q3 Environmental Science Applied Environmental Research Pub Date : 2022-06-14 DOI:10.35762/aer.2022.44.2.5
Santhosh Kumar Nadikatla, Mushini Venkata SubbaRao, M. Krishna
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引用次数: 0

摘要

本文介绍了人工神经网络(ANN)模型在预测水质指数(WQI)从而确定水是否适合人类饮用方面的适用性。根据本研究,在2015年和2016年季风前和季风后季节,从两个mandals(地区)Veeraghattam (VGT)和Palakonda (PLKD)收集了79份地下水样本,并对其物理化学参数进行了分析。在计算WQI时,考虑了pH、EC、TDS、TH、Ca、Mg、氯、氟、亚硝酸盐、DO和TA等理化参数。结果显示,VGT组和PLKD组的WQI分别为43.9 ~ 46.5和31.4 ~ 34.7。利用MATLAB中的人工神经网络工具对WQI进行预测。本文选择了反向传播方法和LM算法进行研究。为了训练网络,将物理化学参数作为输入,并将已经计算出的WQI值作为输出。选择了一个特定的季节来测试网络。在对网络进行模拟后,将所得结果与实验值进行比较,误差为0.6%。结果表明,所选择的模型适合于本研究对WQI的预测。
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Prediction of Groundwater Quality Index in the Selected Divisions of Srikakulam Using Artificial Neural Networks Approach
Applicability of artificial neural network (ANN) modelling in predicting the water quality index (WQI) and in turn to ascertain the suitability of the water for human consumption has been presented in the paper. In the light of the present study, seventy-nine (79) groundwater samples were collected from two mandals (divisions) Veeraghattam (VGT) and Palakonda (PLKD) and analyzed for physicochemical parameters during the pre-monsoon and post-monsoon seasons of 2015 and 2016. In computing the WQI, physicochemical parameters such as pH, EC, TDS, TH, Ca, Mg, chlorine, fluoride, nitrite, DO and TA have been considered. From the results it was found that the WQI varies from 43.9 to 46.5 and 31.4 to 34.7 in VGT and PLKD divisions respectively. ANN tool in MATLAB has been used to predict the WQI. Back propagation methodology and LM algorithm has been chosen for the study. To train the network, physicochemical parameters have been given as inputs and the already computed WQI values as output. A particular season has been chosen for testing the network. After simulating the network, the results obtained were compared with the experimental value and found to have an error of 0.6%. It is inferred that the chosen model fits apt for the prediction of WQI in the present study.
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Applied Environmental Research
Applied Environmental Research Environmental Science-Environmental Science (all)
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