[1] Zhifang ZHOU, Hu ZHENG, Chao ZHUANG. Study on the unrecoverable depletion of groundwater resource. School of Earth Science and Engineering, 45, 1458-1463(2014).

[3] Yangxiao ZHOU, Wenpeng LI. Groundwater quality monitoring and assessment. China Institute for Geo-environmental Monitoring, 1-11(2008).

[4] Bin SUN. Application of multivariate statistics method into research on spatial distribution law of hydrochemistry in Dusituhe groundwater systerm in Ordos Cretaceous Basin(2007).

[5] Ling PENG, Junjun Mei, Na WANG et al. Quantitative inversion of water quality parameters in industrial and mining cities from hyperspectral remote sensing. Spectroscopy and Spectral Analysis, 39, 2922-2928(2019).

[6] Y GUO, C LIU, R YE et al. Advances on water quality detection by UV-Vis spectroscopy. Applied Sciences, 10, 6874(2020).

[7] S HOSSAIN, D COOK, CWK CHOW et al. Development of an optical method to monitor nitrification in drinking water. Sensors, 21, 7525(2021).

[8] H TAHRAOUI, A BELHADJ, A HAMITOUCHE et al. Predicting the concentration of sulfate （SO42-） in drinking water using artificial neural networks： A case study： Médéa-Algeria. Desalination and Water Treatment, 217, 181-194(2021).

[9] M I YESILNACAR, E SAHINKAYA et al. Neural network prediction of nitrate in groundwater of Harran Plain，Turkey. Economic and Environmental Geology, 56, 19-25(2008).

[10] Huiping LEI, Bingliang HU, Tao YU et al. Research on the quantitative analysis method of nitrate in complex water by full scale spectrum with GS-SVR. Spectroscopy and Spectral Analysis, 41, 372-378(2021).

[11] Jie CHEN. Study on hyperspectral inversion model and online monitoring technology of nitrogen and phosphorus water quality parameters(2021).

[12] R MAESSCHALCK, D J DE, L M DESIRE. The mahalanobis distance. Chemometrics and Intelligent Laboratory Systems, 50, 1-18(2000).

[13] M S MASSAOUDI, S REFAAT, H ABU-RUB et al. PLS-CNN-BiLSTM： An end-to-end algorithm-based savitzky-golay smoothing and evolution strategy for load forecasting. Energies, 13, 5464(2020).

[14] C CHEN, Q JIANG, Z ZHANG et al. Hyperspectral inversion of petroleum hydrocarbon contents in soil based on continuum removal and wavelet packet decomposition. Sustainability, 12, 4218(2020).

[15] Yao CHEN, Changping HUANG, Lifu ZHANG et al. Spectral characteristics analysis and remote sensing retrieval of COD concentration. Institute of Remote Sensing and Digital Earth, 40, 824-830(2020).

[16] Z YANG, H XIAO, L ZHANG et al. Fast determination of oxides content in cement raw meal using NIR spectroscopy with SPXY algorithm. Analytical Methods, 10, 1039(2019).

[17] J R BEATTIE, F W L ESMONDE-WHITE. Exploration of principal component analysis： Deriving principal component analysis visually using spectra. Applied Spectroscopy, 75, 361-375(2021).

[18] X ZHAO, X ZHAO, M HUANG et al. An uncertainty sampling strategy based model updating method for soluble solid content and firmness prediction of apples from different years. Chemometrics and Intelligent Laboratory Systems, 217, 104426-(2021).

[19] F HU, M ZHOU, P YAN et al. Selection of characteristic wavelengths using SPA for laser induced fluorescence spectroscopy of mine water inrush. Spectrochimica Acta. Part A, 219, 367-374(2019).

[20] Xiaohui SHU, Jianping LIU. Some issues in dealing with multicollinearity using principal component regression. Statistics and Decision, 25-26(2004).

[21] I S HELLAND, S SOLVE, A TRYGVE et al. Model and estimators for partial least squares regression. Journal of Chemometrics, 13(2018).

[22] Y DENG, X ZHOU, J SHEN et al. New methods based on back propagation （BP） and radial basis function （RBF） artificial neural networks （ANNs） for predicting the occurrence of haloketones in tap water. Science of The Total Environment, 772, 145534(2021).

[23] L LIU. Research on water environment monitoring based on the internet of things combined with neural network. Optical Memory and Neural Networks, 30, 206-213(2021).

[24] H LI, G LI, Z HUANG et al. Application of BP neural network based on genetic algorithm optimization. Association for Computing Machinery, 40, 160-165(2019).

[25] J BO, H LIU, Q XING et al. Evaluating traditional empirical models and BPNN models in monitoring the concentrations of chlorophyll-a and total suspended particulate of eutrophic and turbid waters. Water, 13, 650(2021).

[26] M WANG, J ZHANG, Z ZHANG et al. Simultaneous ultraviolet spectrophotometric determination of sodium benzoate and potassium sorbate by BP-neural network algorithm and partial least squares. Optik-International Journal for Light and Electron Optics, 201, 163529(2019).

[27] Yu WANG, Qiyi GUO, Weigang LI. Predictive model based on improved bp neural networks and it's application. Computer Automated Measurement & Control, 39-42(2005).

[30] Shifu WENG. Fourier transform infrared spectroscopy(2010).

[31] Jianhong CHEN, Lingjian ZHU, Dengxin HUA. Determination of sodium by near infrared spectroscopy. Spectroscopy and Spectral Analysis, 32, 949-952(2012).

[32] Bin ZHANG, Jianhong CHEN, Mingxing JIAO. Determination of chloride salt solution by NIR spectroscopy. Spectroscopy and Spectral Analysis, 35, 1840-1843(2015).

[33] K BUIJS, G R CHOPPIN. Near-infrared studies of the structure of water. I. Pure Water. Journal of Chemical Physics, 39, 2035-2041(1963).