Estimation of Nutrient Load on the Kuibyshev Reservoir From the Catchment Area

Abstract:
The present level of external nutrient load and its separate parts on the Kuibyshev reservoir — the largest one on the Eurasian continent, was estimated. The mathematic model for calculating mean annual input of nitrogen and phosphorus from river drainage areas of non-homogeneous structure, and load on water bodies was developed. The main components of the load are the nonpoint nutrient emission by the underlying surface which is currently not affected by agricultural impact, the load generated by agricultural activity, discharges of pollutants from point sources into the hydrographic network of the catchment area and directly into the water-receiving reservoir, and the mass exchange with the atmosphere. The model includes calculating the retention of chemicals by catchments and by their hydrographic network. The model was calibrated against the data of State monitoring for the pilot areas: the catchment area of the Kazanka river (the left bank tributary) and the Sviyaga (the right bank tributary). The nutrient load generated by discharges from point sources of pollution was estimated using statistical reporting data. The values of atmospheric deposition of nitrogen and phosphorus on the surface of the study catchments were calculated using the data of field studies on the chemical composition of deposits. It is shown that implementation of the best available technologies into agricultural practice will not lead to any significant reduction in the nutrient load on the reservoir, because in recent years across most of the study area the rates of application of nutrients with organic and mineral fertilizers have been lower than the average removal of nitrogen and phosphorus with the harvested crops. An approximate estimation of nutrient load on the Kuibyshev reservoir was carried out for the left and the right bank sides of the catchment area. The background (natural) and diffuse (anthropogenic) components of the load are identified
Author Listing: Sh. R. Pozdnyakov;S. A. Kondratyev;E. A. Minakova;A. Yu. Bryukhanov;N. V. Ignatyeva;M. V. Shmakova;E. V. Ivanova;N. S. Oblomkova;A. V. Terekhov
Volume: 40
Pages: 237 - 246
DOI: 10.1134/S1875372819030065
Language: English
Journal: Geography and Natural Resources

Geography and Natural Resources

GEOGR NAT RESOUR

影响因子:0.3 是否综述期刊:否 是否OA:是 是否预警:不在预警名单内 发行时间:- ISSN:1875-3728 发刊频率:4 issues per year 收录数据库:ESCI/Scopus收录 出版国家/地区:- 出版社:Pleiades Publishing

期刊介绍

Geography and Natural Resources publishes information on research results in the field of geographical studies of nature, the economy, and the population. It provides ample coverage of the geographical aspects related to solving major economic problems, with special emphasis on regional nature management and environmental protection, geographical forecasting, integral regional research developments, modelling of natural processes, and on the advancement of mapping techniques. The journal publishes contributions on monitoring studies, geographical research abroad, as well as discussions on the theory of science.

《地理与自然资源》出版自然、经济和人口地理研究领域的研究成果信息。它广泛报道了与解决重大经济问题有关的地理方面,特别强调区域自然管理和环境保护、地理预测、综合区域研究发展、自然过程模拟和绘图技术的进步。该杂志发表有关监测研究、国外地理研究以及科学理论讨论的论文。

年发文量 67
国人发稿量 1
国人发文占比 1.49%
自引率 0.0%
平均录取率 -
平均审稿周期 -
版面费 -
偏重研究方向 GEOGRAPHY-
期刊官网 https://www.springer.com/13541/?utm_medium=display&utm_source=letpub&utm_content=text_link&utm_term=null&utm_campaign=MPSR_13541_AWA1_CN_CNPL_letpb_mp
投稿链接 https://publish.sciencejournals.ru/journal-detail/GNTR?lang=en

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
100.00% 0.00% - -

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分区表升级版(试行)旨在解决期刊学科体系划分与学科发展以及融合趋势的不相容问题。由于学科交叉在当代科研活动的趋势愈发显著,学科体系构建容易引发争议。为了打破学科体系给期刊评价带来的桎梏,“升级版方案”首先构建了论文层级的主题体系,然后分别计算每篇论文在所属主题的影响力,最后汇总各期刊每篇论文分值,得到“期刊超越指数”,作为分区依据。

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