Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data
This study was the first attempt to identify the sources of total oxidized nitrogen (TON) and inorganic phosphorus (IP) in the water of the Selenga River—the main tributary of Lake Baikal. To identify TON and IP sources, the data on nutrient concentrations in water of Selenga River and its tributari...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/16/5/630 |
_version_ | 1797263790939570176 |
---|---|
author | Mikhail Y. Semenov Anton V. Silaev Yuri M. Semenov Larisa A. Begunova |
author_facet | Mikhail Y. Semenov Anton V. Silaev Yuri M. Semenov Larisa A. Begunova |
author_sort | Mikhail Y. Semenov |
collection | DOAJ |
description | This study was the first attempt to identify the sources of total oxidized nitrogen (TON) and inorganic phosphorus (IP) in the water of the Selenga River—the main tributary of Lake Baikal. To identify TON and IP sources, the data on nutrient concentrations in water of Selenga River and its tributaries as well as the data on river runoff were collected and mapped. On the basis of the obtained data, the values of TON and IP exported from different parts of Selenga watershed were evaluated and mapped using geospatial techniques. In addition, critical source areas (CSAs) which accumulate soil pollutants from nonpoint pollution sources and release them into the surface water during storm events were identified in most polluted watershed areas. It was found that the values of TON exports in most parts of the Selenga watershed varied in the range 0–50 kg/km<sup>2</sup>/yr, whereas the values of IP exports varied in the range 0–5 kg/km<sup>2</sup>/yr. Obtained data on TON export were in agreement with those obtained earlier by foreign researchers using global models of nutrient export, whereas data on IP exports were two times higher than those previously modelled. |
first_indexed | 2024-04-25T00:18:37Z |
format | Article |
id | doaj.art-30c499c1dcdd413795f10cd6de12ab9e |
institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-04-25T00:18:37Z |
publishDate | 2024-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Water |
spelling | doaj.art-30c499c1dcdd413795f10cd6de12ab9e2024-03-12T16:57:30ZengMDPI AGWater2073-44412024-02-0116563010.3390/w16050630Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial DataMikhail Y. Semenov0Anton V. Silaev1Yuri M. Semenov2Larisa A. Begunova3Limnological Institute, Siberian Branch of Russian Academy of Sciences, Ulan-Batorskaya St. 3, 664033 Irkutsk, RussiaV.B. Sochava Institute of Geography, Siberian Branch of Russian Academy of Sciences, Ulan-Batorskaya St. 1, 664033 Irkutsk, RussiaV.B. Sochava Institute of Geography, Siberian Branch of Russian Academy of Sciences, Ulan-Batorskaya St. 1, 664033 Irkutsk, RussiaDepartment of Chemistry and Biotechnology, Institute of High Technologies, Irkutsk National Research Technical University, Lermontov St. 83, 664074 Irkutsk, RussiaThis study was the first attempt to identify the sources of total oxidized nitrogen (TON) and inorganic phosphorus (IP) in the water of the Selenga River—the main tributary of Lake Baikal. To identify TON and IP sources, the data on nutrient concentrations in water of Selenga River and its tributaries as well as the data on river runoff were collected and mapped. On the basis of the obtained data, the values of TON and IP exported from different parts of Selenga watershed were evaluated and mapped using geospatial techniques. In addition, critical source areas (CSAs) which accumulate soil pollutants from nonpoint pollution sources and release them into the surface water during storm events were identified in most polluted watershed areas. It was found that the values of TON exports in most parts of the Selenga watershed varied in the range 0–50 kg/km<sup>2</sup>/yr, whereas the values of IP exports varied in the range 0–5 kg/km<sup>2</sup>/yr. Obtained data on TON export were in agreement with those obtained earlier by foreign researchers using global models of nutrient export, whereas data on IP exports were two times higher than those previously modelled.https://www.mdpi.com/2073-4441/16/5/630nutrientstotal oxidized nitrogeninorganic phosphorussurface waterspollutionnonpoint sources |
spellingShingle | Mikhail Y. Semenov Anton V. Silaev Yuri M. Semenov Larisa A. Begunova Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data Water nutrients total oxidized nitrogen inorganic phosphorus surface waters pollution nonpoint sources |
title | Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data |
title_full | Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data |
title_fullStr | Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data |
title_full_unstemmed | Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data |
title_short | Revealing the Sources of Nutrients in the Surface Waters of the Selenga River Watershed Using Hydrochemical and Geospatial Data |
title_sort | revealing the sources of nutrients in the surface waters of the selenga river watershed using hydrochemical and geospatial data |
topic | nutrients total oxidized nitrogen inorganic phosphorus surface waters pollution nonpoint sources |
url | https://www.mdpi.com/2073-4441/16/5/630 |
work_keys_str_mv | AT mikhailysemenov revealingthesourcesofnutrientsinthesurfacewatersoftheselengariverwatershedusinghydrochemicalandgeospatialdata AT antonvsilaev revealingthesourcesofnutrientsinthesurfacewatersoftheselengariverwatershedusinghydrochemicalandgeospatialdata AT yurimsemenov revealingthesourcesofnutrientsinthesurfacewatersoftheselengariverwatershedusinghydrochemicalandgeospatialdata AT larisaabegunova revealingthesourcesofnutrientsinthesurfacewatersoftheselengariverwatershedusinghydrochemicalandgeospatialdata |