A method for assessing chemical contamination of bottom sediments using bioassay approach

Author:

Moshchenko A. V.1ORCID,Belan T. A.1ORCID,Borisov B. M.1ORCID

Affiliation:

1. Far-Eastern Regional Hydrometeorological Research Institute

Publisher

FSBSI TINRO Center

Subject

Microbiology (medical),Immunology,Immunology and Allergy

Reference36 articles.

1. Aksentov, K.I., Mercury in Abiotic components of the Peter-the-Great Bay ecosystem, in Sovremennoe sostoyanie i tendencii izmeneniya prirodnoi sredy zaliva Petra Velikogo Yaponskogo morya (Current Environmental condition and tendencies of its change in the Peter the Great Bay, the Sea of Japan), Moscow: GEOS, 2008, pp. 173–184.

2. Borovikov, V.P. and Borovikov, I.P., STATISTICA. Statisticheskii analiz i obrabotka dannykh v srede Windows (STATISTICA. Statistical Analysis and Data Processing in the Windows Environment), Moscow: Filin, 1998.

3. Deryugin, K.M. and Somova, N.M., Contributions to quantitative estimate of the benthonic population of Peter the Great Bay (Sea of Japan), Issled. Dal’nevost. morey SSSR, 1941, no. 1, pp. 13–36.

4. Likht, F.R., Astakhov, A.S., Botsul, A.I., Derkachev, A.N., Dudarev, O.V., Markov, Yu.D., and Utkin, I.V., Struktura osadkov i fraktsii Yaponskogo morya (Structure of sediments and facies of the Sea of Japan), Vladivostok: Dal’nevos. Nauchn. Tsentr Akad. Nauk SSSR, 1983.

5. Mastitsky, S.E. and Shitikov, V.K., Statisticheskii analiz i visualizatsiya dannykx s pomoshch’yu R (Statistical Analysis and Data Visualization with R), Khaidelberg; London; Tolyatti: 2014. http://ranalytics.blogspot.com. Cited January, 25, 2022.

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