Application of geoinformation technologies and remote sensing of the Earth to assess the impact of aridity of the territory on the water quality of small rivers
- Authors: Kosarev A.V.1, Ivanov D.E.1,2, Mikerov A.N.1,3, Savina K.A.1, Valeev T.K.4, Suleimanov R.A.4
-
Affiliations:
- Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
- Saratov State Law Academy
- Saratov State Medical University named after V.I. Razumovsky
- Ufa Research Institute of Occupational Health and Human Ecology
- Issue: Vol 100, No 10 (2021)
- Pages: 1052-1059
- Section: ENVIRONMENTAL HYGIENE
- Published: 10.11.2021
- URL: https://archivog.com/0016-9900/article/view/638908
- DOI: https://doi.org/10.47470/0016-9900-2021-100-10-1052-1059
- ID: 638908
Cite item
Full Text
Abstract
Introduction. The relevance of the work for preventive medicine is due to the need to assess the impact of climate aridity on the hygienic safety of drinking water.
The aim of the work is to determine the influence of the degree of aridity of the arid regions of Russia on the hygienic safety of drinking water prepared from surface water sources.
Materials and methods. The objects of the study are the water of small rivers located in the arid regions of the Saratov Region and the Republic of Bashkortostan. The content of pollutants in water was determined by atomic absorption spectrometry, spectrophotometry, and potentiometry. Satellite images for the implementation of remote sensing of the Earth are obtained in the geoinformation catalogue earthexplorer.usgs.gov. Image processing and mapping of the studied territories was carried out using the QGIS software, version 3.12.3.
Results. Using the method of remote sensing of the Earth, it was revealed for the first time that the low-arid regions of the Republic of Bashkortostan correspond to positive NDMI values. In contrast, the areas of the Saratov region are characterized by negative NDMI values. For the first time, a statistically significant correlation has been established between the hygienic hazard caused by polluting chemicals in water, typical for arid territories and the change in the aridity index NDMI. Biogenic nitrogen, iron, and manganese make the most significant contribution to the formation of the non-carcinogenic danger of small river waters in the conditions of climate warming.
Conclusion. We have shown for the first time using the remote sensing method of the Earth that low-arid regions of the Republic of Bashkortostan correspond to low positive values of the aridity index NDMI than for the areas of the Saratov region characterized by negative NDMI values. For the first time, a correlation was established between an increase in the degree of aridity of arid areas of Russia and an increase in non-carcinogenic health risk due to the use of drinking water prepared from surface water sources.
Contribution:
Kosarev A.V. — concept and design of research, computational work, writing of the text of the article;
Ivanov D.E. — concept and design of the study, discussion of the results;
Mikerov A.N. — concept and design of research, editing, discussion of results, approval of the final version;
Savina K.A. — experimental work, collection and processing of material, editing;
Valeev T.K. — discussion of the results;
Suleimanov R.A. — discussion of the results.
All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.
Conflict of interest. The authors declare no conflict of interest.
Acknowledgement. The study had no sponsorship.
Received: July 16, 2021 / Accepted: September 28, 2021 / Published: October 31, 2021
About the authors
Anton V. Kosarev
Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Author for correspondence.
Email: aleteia@inbox.ru
ORCID iD: 0000-0002-6614-7297
MD, PhD, researcher of the Laboratory chemical and biological monitoring of water quality. Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Saratov, 410022, Russian Federation.
e-mail: aleteia@inbox.ru
Russian FederationDmitriy E. Ivanov
Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies; Saratov State Law Academy
Email: noemail@neicon.ru
ORCID iD: 0000-0001-8162-9019
Russian Federation
Anatoliy N. Mikerov
Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies; Saratov State Medical University named after V.I. Razumovsky
Email: noemail@neicon.ru
ORCID iD: 0000-0002-0670-7918
Russian Federation
Kseniya A. Savina
Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies
Email: noemail@neicon.ru
ORCID iD: 0000-0003-4878-8784
Russian Federation
Timur K. Valeev
Ufa Research Institute of Occupational Health and Human Ecology
Email: noemail@neicon.ru
ORCID iD: 0000-0001-7801-2675
Russian Federation
Raphail A. Suleimanov
Ufa Research Institute of Occupational Health and Human Ecology
Email: noemail@neicon.ru
ORCID iD: 0000-0002-4134-5828
Russian Federation
References
- Dunaeva E.A. Methodological and informational bases of water availability estimation of a territory by remote sensing and GIS means. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2017; 14(3): 173–81. https://doi.org/10.21046/2070-7401-2017-14-3-173-181 (in Russian)
- Mandakh N., Tsogtbaatar Zh., Dash D., Khudulmur S. The system of indicators and assessment of desertification in Mongolia. Aridnye ekosistemy. 2016; 22(1): 99–111. (in Russian)
- Garmaev E.Zh., Alymbaeva Zh.B., Tsydypov B.Z., Zharnikova M.A., Sayapina D.O. Spatio-temporal analysis of landscape dynamics of the Selenga middle mountain (a case study of the Ubur-Dzokoi hollow). Geografiya i prirodnye resursy. 2019; (1): 52–9. https://doi.org/10.21782/GIPR0206-1619-2019-1(52-59) (in Russian)
- Sandeep P., Obi Reddy G.P., Jegankumar R., Arun Kumar K.C. Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets. Ecol. Indic. 2021; 121: 10733. https://doi.org/10.1016/j.ecolind.2020.107033
- Zotin A., Zuev D., Kashkin V., Kurako M., Simonov K. Environmental risk zones mapping using satellite monitoring data. Procedia Comput. Sci. 2018; 126: 1597–605. https://doi.org/10.1016/j.procs.2018.08.133
- Javid K., Akram M.A.N., Mumtaz M. et al. Modeling and mapping of climatic classification of Pakistan by using remote sensing climate compound index (2000 to 2018). Appl. Water Sci. 2019; 9(7): 152. https://doi.org/10.1007/s13201-019-1028-3
- Kimura R., Moriyama M. Determination by MODIS satellite-based methods of recent global trends in land surface aridity and degradation. J. Agric. Meteorol. 2019; 75(3): 153–9. https://doi.org/10.2480/agrmet.D-19-00003
- Zhao Y., Wang X., Novillo C.J., Arrogante‐Funes P., Vázquez‐Jiménez R., Berdugo M., et al. Remotely sensed albedo allows the identification of two ecosystem states along aridity gradients in Africa. Land Degrad. Dev. 2019; 30(12): 1502–15. https://doi.org/10.1002/ldr.3338
- Kharazmi R., Panidi E.A., Chaban L.N. Assessment of arid ecosystems dynamics based on the results of automated processing of multispectral satellite imagery time series. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2017; 14(3): 196–205. https://doi.org/10.21046/2070-7401-2017-14-3-196-205 (in Russian)
- Dong J., Crow W.T., Tobin K.J., Cosh M.H., Bosch D.D., Starks P.J., et al. Remote sensing of 10 years changes in the vegetation cover of the northwestern coastal land of Red Sea, Saudi Arabia. Saudi J. Biol. Sci. 2020; 27(11): 3169–79. https://doi.org/10.1016/j.sjbs.2020.07.021
- Garmaev E.Zh., Ayurzhanaev A.A., Tsydypov B.Z., Alymbaeva Zh.B., Sodnomov B.V., Andreev S.G., et al. Assessment of spatial and temporal variability of arid ecosystems of the Republic of Buryatia. Aridnye ekosistemy. 2020; 10(2): 114–22. (in Russian)
- Spivak L.F., Vitkovskaya I.S., Batyrbaeva M.Zh. The possibility of using of remote defined parameters for a priori assessment of the vegetation season conditions. Gidrometeorologiya i ekologiya. 2017; (1): 15–27. (in Russian)
- Isaev E.K., Omurzakova Sh.A. On the possibility of drought detection and modeling in Kyrgyzstan. Vestnik Kyrgyzsko-Rossiyskogo Slavyanskogo universiteta. 2019; 19(8): 145–51. (in Russian)
- Titkova T.B., Zolotokrylin A.N., Vinogradova V.V. The spectral portrait of plain landscapes in Russia. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2020; 17(3): 117–26. https://doi.org/10.21046/2070-7401-2020-17-3-117-126 (in Russian)
- Chin’ L.Kh., Zablotskiy B.R., Dao K.Kh. A study of the long-term dynamics of soil moisture in the Bac Binh district (Binh Thuan province, Vietnam) using LANDSAT multispectral images. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2018; 15(7): 89–101. https://doi.org/10.21046/2070-7401-2018-15-7-89-101 (in Russian)
- Uvarov I.A., Platonov A.E., Titkov A.V., Tolpin V.A., Maleev V.V. Integration of satellite and meteorological data time series with statistical data in monitoring information systems. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2020; 17(7): 105–16. https://doi.org/10.21046/2070-7401-2020-17-7-105-114 (in Russian)
- Prislegina D.A., Dubyanskiy V.M., Kulichenko A.N. Particular dangerous arbovirus fevers in the south of Russia: improvement of monitoring with modern information technology application. Meditsina truda i ekologiya cheloveka. 2019; (4): 50–8. https://doi.org/10.24411/2411-3794-2019-10047 (in Russian)
- Popova A.Yu., Kulichenko A.N., Maletskaya O.V., Manin E.A., Semenko O.V., Dubyanskiy V.M., et al. Using geographic information system ZikaMap to control the situation with vectors for dangerous arboviruses during the preparation and hosting the 2018 FIFA World Cup in Sochi. Zdorov’e naseleniya i sreda obitaniya. 2019; (4): 4–7. https://doi.org/10.35627/2219-5238/2019-313-4-4-7 (in Russian)
- Lebedeva M., Gerasimova M., Konyushkova M. Micromorphology of solonetzic horizons as related to environmental events in the Caspian Lowland. J. Mt Sci. 2009; 6(2): 132–8. https://doi.org/10.1007/s11629-009-1029-z
- Nejatijahromi Z., Nassery H.R., Hosono T., Nakhaei M., Alijani F., Okumura A. Groundwater nitrate contamination in an area using urban wastewaters for agricultural irrigation under arid climate condition, southeast of Tehran, Iran. Agric. Water Manag. 2019; 221: 397–414. https://doi.org/10.1016/j.agwat.2019.04.015
- Toolabi A., Bonyadi Z., Paydar M., Najafpoor A.A., Ramavandi B. Spatial distribution, occurrence, and health risk assessment of nitrate, fluoride, and arsenic in Bam groundwater resource, Iran. Groundw. Sustain. Dev. 2021; 12: 100543. https://doi.org/10.1016/j.gsd.2020.100543
- Saleh H.N., Panahande M., Yousefi M., Asghari F.B., Oliveri Conti G., Talaee E., et al. Carcinogenic and non-carcinogenic risk assessment of heavy metals in groundwater wells in Neyshabur Plain, Iran. Biol. Trace Elem. Res. 2019; 190(1): 251–61. https://doi.org/10.1007/s12011-018-1516-6
- Balamurugan P., Kumar P.S., Shankar K., Nagavinothini R., Vijayasurya K. Non-carcinogenic risk assessment of groundwater in southern part of Salem district in Tamilnadu, India. J. Chil. Chem. Soc. 2020; 65(1): 4697–707. https://doi.org/10.4067/S0717-97072020000104697
- Nawale V.P., Malpe D.B., Marghade D., Yenkie R. Non-carcinogenic health risk assessment with source identification of nitrate and fluoride polluted groundwater of Wardha sub-basin, central India. Ecotoxicol. Environ. Saf. 2021; 208(15): 111548. https://doi.org/10.1016/j.ecoenv.2020.111548
- Peter G. Impact of rural water projects on hygienic behaviour in Swaziland. Physics and Chemistry of the Earth, Parts A/B/C. 2010; 35(13–14): 772–9. https://doi.org/10.1016/j.pce.2010.07.024
- Bakirov A.B., Suleymanov R.A., Valeev T.K. Experience of assesing water-related health risks to the population of the surrounding areas of mining. Meditsina truda i ekologiya cheloveka. 2016; (2): 5–13. (in Russian)
- Kiselev A.V., Mel’tser A.V., Erastova N.V. Integral assessment of drinking water on indicators of chemical safety based on risk assessment methodology for public health. Profilakticheskaya i klinicheskaya meditsina. 2011; (3): 284–7. (in Russian)
- Pankratova Yu.A., Ivanov D.E., Kosarev A.V., Savina K.A. Hygienic aspects of using the resources of small rivers of the Volga region for drinking water supply on the example of the Saratov region. Sanitarnyy vrach. 2021; (2): 44–55. https://doi.org/10.33920/med-08-2102-05 (in Russian)
- Mukhortova L.I., Lukin P.M., Konstantinova T.G. Manganese pollution of Chuvash Republic rivers. Voda: khimiya i ekologiya. 2011; (10): 82–6. (in Russian)
- Shesterkin V.P. Hydro/chemistry of the “Tumninskiy” nature reserve rivers. Vodnoe khozyaystvo Rossii: problemy, tekhnologii, upravlenie. 2018; (3): 4–15. (in Russian)
- Pivovarova E.A. Assessment of non-carcinogenic risks to public health in the Republic of Khakassia due to the chemicals in drinking water. Sanitarnyy vrach. 2019; (3): 63–7. (in Russian)
Supplementary files
