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The use of automated technology to calculate the runoff quality characteristics according to hydrochemical and hydrological observations

Использование автоматизированной технологии для расчётов характеристик качества стока по данным гидрохимических и гидрологических наблюдений
Authors: El'vira А. Rumyantseva; Nelly N. Bobrovitskaya; Marina V. Shmakova;

The use of automated technology to calculate the runoff quality characteristics according to hydrochemical and hydrological observations

Abstract

Для расчётов характеристик качества стока воды рек в ФГБУ «ГГИ» был разработан автоматизированный программный комплекс, позволяющий проводить совместную обработку режимной гидрохимической и гидрологической информации. Задачей настоящей работы является представление возможностей программы в получении характеристик качества стока воды на примере реки Луга по данным 2000–2017 гг. Первой характеристикой качества стока воды является доля объёмов, загрязнённых единичными химическими компонентами (Vзаг%). С применением автоматизированного программного комплекса рассчитаны годовые и многолетние значения Vзаг% стока воды реки Луга для каждого загрязняющего вещества и даны их вероятностные оценки. Показано, что верхний предел значений Vзаг% для насыщения воды O2 ниже нормы, для содержания Mn2+, Cu2+, N-NO2‑, Feобщ и ХПК составил 100%; для содержания Рb2+ и нефтепродуктов – 64-79%, для содержания O2 – 39% и для остальных компонентов не превысил 16,5%. Рассчитаны тенденции изменения годовых значений Vзаг% для всех загрязняющих веществ. Второй характеристикой качества стока воды является доля его частичных объёмов, загрязнённых совокупностями химических компонентов, и оценённая по классам и разрядам в соответствии с РД 52.24.643-2002. Показано, что наиболее загрязнённым был сток воды в 2006 и 2010 годах. Он отнесён к 4-му классу, разряд "а" и охарактеризован как грязный. Слабо загрязнённым 2-го класса сток воды реки Луга был только в 2016 и 2017 годах. В остальные годы он являлся загрязнённым 3-го класса, разряд "а" либо разряд "б". Все результаты расчётов представлены в программном комплексе, как в табличной форме, так и в графическом виде. To calculate the characteristics of river water flow quality, the FSBI "SHI" developed an automated software package that allows for joint processing of regime hydro chemical and hydrological information. The objective of this work is to present the capabilities of the program in obtaining characteristics of water flow quality using the example of the Luga River according to data from 2000 to 2017. The first characteristic of the flow quality is the proportion of volumes contaminated with single chemical components (Vpoll). With the use of an automated software package, the annual and long-term values of Vpoll of the Luga river runoff for each polluting component were calculated and their probabilistic estimates were given. It is shown that the upper limit of Vpoll% values for water saturation with O2 is below the norm, for the content of Mn2+, Cu2+, N-NO2, Fetot and COD was 100%; for the content of Pb2+ and oil products ‒ 64-79%, for the content of O2 ‒ 39% and for other components did not exceed 16.5%. Trends in the change in annual values of Vpoll for all pollutants were calculated. The second characteristic of runoff quality is the proportion of its partial volumes contaminated with aggregates of chemical components, and assessed by classes and categories in accordance with RD 52.24.643-2002. The most polluted was the water runoff in 2006 and 2010. It is assigned to the 4th grade, category "a" and is characterized as dirty.

Keywords

automated software complex, regime observations, оценка загрязнённости стока, режимные наблюдения, runoff quality dynamics, динамика качества стока, runoff pollution assessment, качество речного стока, загрязнённый сток, polluted runoff, river runoff quality, автоматизированный программный комплекс

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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