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Rahnama, Samira, Khashei-Siuki, Abbas, Shahidi, Ali, Noferesti, Ali Mohammad. (1400). Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method. , 4(1), 68-75. doi: 10.22077/jwhr.2021.4632.1044
Samira Rahnama; Abbas Khashei-Siuki; Ali Shahidi; Ali Mohammad Noferesti. "Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method". , 4, 1, 1400, 68-75. doi: 10.22077/jwhr.2021.4632.1044
Rahnama, Samira, Khashei-Siuki, Abbas, Shahidi, Ali, Noferesti, Ali Mohammad. (1400). 'Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method', , 4(1), pp. 68-75. doi: 10.22077/jwhr.2021.4632.1044
Rahnama, Samira, Khashei-Siuki, Abbas, Shahidi, Ali, Noferesti, Ali Mohammad. Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method. , 1400; 4(1): 68-75. doi: 10.22077/jwhr.2021.4632.1044

Designing a quality monitoring network of Gonabad Aquifer using principal component analysis (PCA) method

Water Harvesting Research
دوره 4، شماره 1، تیر 2021، صفحه 68-75    اصل مقاله (1022.8 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22077/jwhr.2021.4632.1044
نویسندگان
Samira Rahnama1؛ Abbas Khashei-Siuki* 2؛ Ali Shahidi3؛ Ali Mohammad Noferesti4
1PhD Student, Department of Water Science and Engineering, Faculty of Agriculture, University of Birjand, Birjand, Iran.
2Professor, Department of Water Science and Engineering, Faculty of Agriculture, University of Birjand, Birjand, Iran
3Associate Professor, Department of Water Science and Engineering, Faculty of Agriculture, University of Birjand, Birjand, Iran.
4Department of Water Science and Engineering, Faculty of Agriculture, University of Birjand, Birjand, Iran.
چکیده
In order to efficiently manage groundwater resources, determination of the main sampling points is very important to reduce sample size and save time and cost. Principal Component Analysis (PCA) is one of the data reduction techniques that has an important role in identifying insignificant data. In this research, 22 wells of Gonabad plain with a statistical length of 10 years (2007-2016) were used. In the studied area, the annual average of 11 quality parameters of Ca, Mg, Na, EC, TDS, Cl, SAR, HCO3, SO4, TH, pH groundwater was investigated by using this technique to determine the quality effective wells in the aquifer of this plain. Using PCA, the relative importance of each well was calculated between 0 (for completely ineffective well) to 1 (for the very effective wells). The results showed that among the 22 wells in the study area, 7 wells were identified as the quality effective wells of Gonabad plain, which had a good dispersion in the region and could play an important role in reducing sampling costs.
کلیدواژه‌ها
Effective well؛ Gonabad plain؛ Groundwater؛ Principal Component Analysis
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