Publishing House SB RAS:

Publishing House SB RAS:

Address of the Publishing House SB RAS:
Morskoy pr. 2, 630090 Novosibirsk, Russia



Advanced Search

Chemistry for Sustainable Development

2017 year, number 2

Analysis of the Content of Nitrate and Ammonium Ions at Bioremediation of Ground Water Polluted by Oil Products

I. V. TRUSEY1, YU. L. GUREVICH2, V. P. LADYGIN2, YU. P. LANKIN2, and S. V. FADEEV3
1Astafiev Krasnoyarsk State Pedagogical University, Krasnoyarsk, Russia
2Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russia
3Minusinsk Hydrogeological Party JSC, Minusinsk, Russia
Keywords: ground water, oil products, nitrate, ammonium, microorganisms, denitrifiers
Pages: 199-205

Abstract

An opportunity for bioremediation of ground water polluted by oil products through a system of observation wells was studied. The activity of bioremediation processes was assessed by a change in the content of nitrogen (ammonia, nitrate, and nitrite) in water, the number of aerobic and anaerobic microorganisms and oil products. Microbial growth was stimulated by the introduction of mineral fertilizers into ground water as sources of N and P. Prior to treatment, the number of ammonifying and hydrocarbon oxidizing microorganisms in water collected from wells at polluted sites did not exceed 105 CFU/mL and 103–105 CFU/mL, respectively. In response to nutrients feeding that limits the growth, the number of aerobic microorganisms increased by 3–4 orders. The number of ammonifying microorganisms increased to 1.8 × 108 CFU/mL, hydrocarbon oxidizing — 2.3 × 107 CFU/mL. An increase in the concentration of ammonia nitrogen (to the values above 50 mg/L) happened in ground water with delay of 2–6 weeks. Dynamics analysis of the chemical composition of ground water by the data of all wells demonstrated that a concerted fluctuation of the activity of nitrification and denitrification processes proceeded in oil products biodegradation in the active phase, and accordingly, of ammonium and nitrate concentrations. Predicting the chemical composition of ground water using a neural network confirmed the same. The content of oil products in ground water decreased by 65–97 %.