Toxicity Analysis of Surface Water in the Lower Don Basin in Rostov-on-Don City by Long-Term Bioassay Data

被引:0
|
作者
Bakaeva, E. N. [1 ]
Nikanorov, A. M. [1 ]
Ignatova, N. A. [1 ]
机构
[1] Russian Acad Sci, Inst Water Problems, Hydrochem Inst, Southern Branch, Rostov Na Donu 344090, Russia
关键词
bioassay; water bodies; megalopolis; toxicity; test-object;
D O I
10.1134/S0097807815010029
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Many-year data (1992-2010) of bioassay studies were used to identify the dynamics of surface water toxicity in water bodies of the Lower Don in Rostov-on-Don City. Segments of the Lower Don, the Temernik R. mouth, and Lake Goluboe were studied taking into account the anthropogenic load typical of them. The toxicity was evaluated by bioassay tests with four test-objects with different trophic levels and systematic positions. The toxic pollution of surface waters of the Don R. basin within a megalopolis still persists in the XXI century. However, water toxicity is heterogeneous. Thus, trends toward a considerable decrease or increase in water toxicity were recorded in individual parts of the Lower Don, while the situations remained stable in other parts. Bioassay yields an adequate estimate of water toxicity.
引用
收藏
页码:70 / 77
页数:8
相关论文
共 50 条
  • [31] Usage of long-term river discharge data in water balance model for assessment of trends in basin storages
    Modi, Ankit
    Tare, Vinod
    Chaudhuri, Chiranjib
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2021, 7 (02) : 953 - 966
  • [32] Usage of long-term river discharge data in water balance model for assessment of trends in basin storages
    Ankit Modi
    Vinod Tare
    Chiranjib Chaudhuri
    Modeling Earth Systems and Environment, 2021, 7 : 953 - 966
  • [33] Long-term detection and spatiotemporal variation analysis of open-surface water bodies in the Yellow River Basin from 1986 to 2020
    Zhang, Yangchengsi
    Du, Jiaqiang
    Guo, Long
    Fang, Shifeng
    Zhang, Jing
    Sun, Bingqing
    Mao, Jialin
    Sheng, Zhilu
    Li, Lijuan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 845
  • [34] Meteorological Drought Analysis in the Lower Mekong Basin Using Satellite-Based Long-Term CHIRPS Product
    Guo, Hao
    Bao, Anming
    Liu, Tie
    Ndayisaba, Felix
    He, Daming
    Kurban, Alishir
    De Maeyer, Philippe
    SUSTAINABILITY, 2017, 9 (06)
  • [35] Automatic Surface Water Mapping Using Polarimetric SAR Data for Long-Term Change Detection
    Zhang, Wen
    Hu, Baoxin
    Brown, Glen S.
    WATER, 2020, 12 (03)
  • [36] Validation and Analysis of Long-Term AATSR Land Surface Temperature Product in the Heihe River Basin, China
    Ouyang, Xiaoying
    Chen, Dongmei
    Duan, Si-Bo
    Lei, Yonghui
    Dou, Youjun
    Hu, Guangcheng
    REMOTE SENSING, 2017, 9 (02)
  • [37] Analysis of long-term and short-term bankline stability prediction considering seasonal variations: A study in lower Ganga Basin, India
    Alam, Sk Asraful
    Maiti, Ramkrishna
    ADVANCES IN SPACE RESEARCH, 2024, 74 (11) : 5319 - 5347
  • [38] Water table dynamics of Dhaka city and its long-term trend analysis using the oMAKESENSo model
    Sarkar, A. A.
    Ali, M. H.
    WATER INTERNATIONAL, 2009, 34 (03) : 373 - 382
  • [39] Long-Term Changes in Inland Water Surface Temperature across China Based on Remote Sensing Data
    Wang, Rui
    Yan, Xin
    Niu, Zhenguo
    Chen, Wei
    JOURNAL OF HYDROMETEOROLOGY, 2021, 22 (02) : 523 - 532
  • [40] Long-term trends in surface water quality of China?s seven major basins based on water quality identification index and big data analysis
    Fu, Xiaowei
    Wu, Ruibin
    Qi, Haiyue
    Yin, Hailong
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2023, 100