Please wait a minute...
Journal of Arid Land  2016, Vol. 8 Issue (4): 521-532    DOI: 10.1007/s40333-016-0083-y     CSTR: 32276.14.s40333-016-0083-y
Research Articles     
Regime dynamics of hydrochemical and toxicological parameters of the Irtysh River in Kazakhstan
Diana M BURLIBAYEVA1, Malik Zh BURLIBAYEV2*, Christian OPP3, BAO Anming4
1 Department of Water Resources and Land Reclamation, Kazakh National Agrarian University, Almaty 050010, Kazakhstan;
2 Kazakhstan Agency of Applied Ecology, Almaty 050012, Kazakhstan;
3 Department Hydrology & Soil Science, Faculty of Geography, Philipps University, Marburg 35032, Germany;
4 Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Download:   PDF(258KB)
Export: BibTeX | EndNote (RIS)      

Abstract   Since the Irtysh River flows through the important economic, ecological and social territories of China, Kazakhstan and Russia, the water quality issues growingly draw the attention of the water authorities from these countries. Therefore, a detailed study of the hydrochemical regime and toxicological indicators in Kazakhstan was carried out for understanding the regime dynamics of water quality and its affect factors. The combined assessment of maximum permissible concentration (MPC) of chemical components and biotesting method were proposed and performed for the study area. The results clearly showed that the concentrations of single chemical component at different locations are mostly under MPC standard in a basin scale. However, the watershed surface runoff and tributary stream flow from mining industry areas had high concentration of heavy metals and had significant impact on the water quality near Ust-Kamenogorsk. Furthermore, even the stream water generally meet MPC standard, the results of biotesting method show the toxicity level of water sample is lethal for the test objects of phytoplankton and Daphnia. The survival rates of most water samples are lower than 46.7%. Hereby, this study strongly suggests using combined water assessment methods to evaluate the water quality.

Key wordseddy covariance technology      energy and water vapor fluxes      precipitation      evaporation     
Received: 02 June 2015      Published: 10 August 2016
Fund:  

International Science & Technology Cooperation Program of China (2010DFA92720-04).

Corresponding Authors:
Cite this article:

Diana M BURLIBAYEVA, Malik Zh BURLIBAYEV, Christian OPP, BAO Anming. Regime dynamics of hydrochemical and toxicological parameters of the Irtysh River in Kazakhstan. Journal of Arid Land, 2016, 8(4): 521-532.

URL:

http://jal.xjegi.com/10.1007/s40333-016-0083-y     OR     http://jal.xjegi.com/Y2016/V8/I4/521

Alekin O A. 1970. Fundamentals of hydrochemistry. Leningrad: Gidrometeoizdat, 121–374. (in Russian)

Amirgaliyev N A. 1998. Artificial water bodies of Northern and Central Kazakhstan: hydrochemistry and water quality. Almaty: Bastau, 187–191. (in Russian)

Boyd C E, Tucker C S. 2012. Pond Aquaculture Water Quality Management. Dordrecht: Kluwer Academic Publishers, 1–7.

Bubnov A G, Buymova S A, Gushchin A A, et al. 2007. Analysis of Biotest-Integral Method of Assessment for assessing the Quality of the Environment. Ivanovo: Ivanov State University of Chemistry and Technology, 102–112. (in Russian)

Burlibayev M Z, Murtazin E Z, Bazarbaev S K, et al. 2002. Modern State of Pollution of Main Waterways of Kazakhstan by Heavy Metal Ions. Almaty: Kaganat, 256. (in Russian)

Burlibayev M Z, Murtazin E Z, Bazarbaev S K, et al. 2003. Nutrients in Main Waterways of Kazakhstan. Almaty: Kaganat, 723. (in Russian)

Burlibayev M Z, Murtazin Y Z, Tursunov E A. 2006. Rivers' hydro-chemical regime. In: Iskakova N A, Medeu A R. Republic of Kazakhstan, Vol. I: Natural Conditions and Resources. Almaty: Ministry for Environmental Protection, 257–263. (in Russian)

Burlibayev M Z, Amirgaliyev N. 2012. Water Pollution Comprehensive Index of Surface Waters by Hydro Chemical Parameters. Almaty: Astana, 81. (in Russian)

Burlibayev M Z, Kutz S I, Faschevsky B V, et al. 2014. Flooding of the Irtysh River Floodplain-The Main Factor of Sustainable Development of the River Ecosystem. Almaty: Kaganat, 396. (in Russian)

Edet A, Ukpong A, Nganje T. 2013. Hydrochemical studies of Cross River Basin (southeastern Nigeria) river systems using cross plots, statistics and water quality index. Environmental Earth Sciences, 70(7): 3043–3056.

Evgeniev M I. 1999. Test methods and ecology. Soros Educational Journal, 11: 29–34. (in Russian)

Hem J D. 1985. Study and interpretation of the chemical characteristics of natural water (3rd ed.). US Geological Survey Water-Supply, Charlottesville: University of Virginia, 2254.

INGEO. 2012. Water Resources of Kazakhstan: Assessment, Prediction, and Management. In: INGEO. Natural Water of Kazakhstan: Resources, Regime, Quality, and Prediction (Vol. II). Almaty: Institute of Geography, Ministry of Education and Science, Kazakhstan, 330. (in Russian)

Juahir H, Zain S M, Yusoff M K, et al. 2011. Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques. Environmental Monitoring and Assessment, 173(1–4): 625–641.

Khan S, Shahnaz M, Jehan N, et al. 2013. Drinking water quality and human health risk in Charsadda district, Pakistan. Journal of Cleaner Production, 60: 93–101.

Olmanson L G, Brezonik P L, Bauer M E. 2013. Airborne hyperspectral remote sensing to assess spatial distribution of water quality characteristics in large rivers: the Mississippi River and its tributaries in Minnesota. Remote Sensing of Environment, 130: 254–265.

Osibanjo O, Daso A P, Gbadebo A M. 2011. The impact of industries on surface water quality of River Ona and River Alaro in Oluyole Industrial Estate, Ibadan, Nigeria. African Journal of Biotechnology, 10(4): 696–702.

Ministry of Ecology and Bioresources, Kazakhstan. 1994. Rules of surface water protection of the Republic of Kazakhstan. The Ministry of Ecology and Bioresources, Protocol No. 13, 17. (in Russian)

Ministry of Healthcare and Social Development (MZSR), Kazakhstan. 1991a. Collection of sanitary standards and methods of control of hazardous substances in the environment. Moscow: Ministry of Healthcare and Social Development, the Republic of Kazakhstan, 370. (in Russian)

MZSR. 1991b. Standards of water quality of water bodies of fisheries significance, including the standards of maximum permissible concentrations of harmful substances in water of water bodies of fisheries significance. Moscow: Ministry of Healthcare and Social Development, the Republic of Kazakhstan, 191. (in Russian)

Republican State Enterprise (RSE). State Water Cadastre. 2007. Annual data on surface water quality. Issue 1, the Irtysh river basin. Serial publication. Almaty: Kazgidromet, 220. (in Russian)

RSE, State Water Cadastre. 2008. Annual data on surface water quality. Issue 1 – the Irtysh river basin. Serial publication. Almaty: RSE “Kazgidromet”, 228. (in Russian)

RSE, State Water Cadastre. 2009. Annual data on surface water quality. Issue 1 – the Irtysh river basin. Serial publication. Almaty: RSE “Kazgidromet”, 239. (in Russian)

RSE, State Water Cadastre. 2010. Annual data on surface water quality. Issue 1 – the Irtysh river basin. Serial publication. Almaty: RSE “Kazgidromet”, 235. (in Russian)

RSE, State Water Cadastre. 2011. Annual data on surface water quality. Issue 1 – the Irtysh river basin. Serial publication. Almaty: RSE “Kazgidromet”, 231. (in Russian)

Shah Z A, Umar R. 2015. Stable isotopic and hydrochemical studies in a part of central Ganga basin. Journal of the Geological Society of India, 85(6): 706–716.

Shrestha S, Kazama F. 2007. Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan. Environmental Modelling & Software, 22(4): 464–475.

Stumm W, Morgan J J. 2012. Aquatic Chemistry: Chemical Equilibria and Rates in Natural Waters. Vol. 126, New York: John Wiley & Sons, 1040.

Sun J B, Chen Y, Zhang Z, et al. 2015. The spatio-temporal variations of surface water quality in China during the “Eleventh Five-Year Plan”. Environmental Monitoring and Assessment, 187: 64.

Turner R E, Rabalais N N. 1991. Changes in Mississippi River water quality this century: Implications for coastal food webs. BioScience, 41(3): 140–147.

UNDP. 2004. Water Resources of Kazakhstan in the New Millennium. Almaty: UNDP, 124,132.

Varol M, Gökot B, Bekleyen A, et al. 2012. Spatial and temporal variations in surface water quality of the dam reservoirs in the Tigris River basin, Turkey. Catena, 92: 11–21.

Vendrov S L, Kalinin G P. 1960. Surface-water resources of the USSR: their utilization and study. Soviet Geography, 1(6): 35–49.

Zenin A A, Belousova N V. 1988. Dictionary of hydro-chemistry terms. Leningrad: Gidrometioizdat, 238.
[1] WANG Xiangyu, XU Min, KANG Shichang, LI Xuemei, HAN Haidong, LI Xingdong. Comprehensive applicability evaluation of four precipitation products at multiple spatiotemporal scales in Northwest China[J]. Journal of Arid Land, 2024, 16(9): 1232-1254.
[2] YANG Jianhua, LI Yaqian, ZHOU Lei, ZHANG Zhenqing, ZHOU Hongkui, WU Jianjun. Effects of temperature and precipitation on drought trends in Xinjiang, China[J]. Journal of Arid Land, 2024, 16(8): 1098-1117.
[3] XU Wenjie, DING Jianli, BAO Qingling, WANG Jinjie, XU Kun. Improving the accuracy of precipitation estimates in a typical inland arid area of China using a dynamic Bayesian model averaging approach[J]. Journal of Arid Land, 2024, 16(3): 331-354.
[4] LIU Xinyu, LI Xuemei, ZHANG Zhengrong, ZHAO Kaixin, LI Lanhai. A CMIP6-based assessment of regional climate change in the Chinese Tianshan Mountains[J]. Journal of Arid Land, 2024, 16(2): 195-219.
[5] Mitiku A WORKU, Gudina L FEYISA, Kassahun T BEKETIE, Emmanuel GARBOLINO. Projecting future precipitation change across the semi-arid Borana lowland, southern Ethiopia[J]. Journal of Arid Land, 2023, 15(9): 1023-1036.
[6] ZHANG Lihua, GAO Han, WANG Junfeng, ZHAO Ruifeng, WANG Mengmeng, HAO Lianyi, GUO Yafei, JIANG Xiaoyu, ZHONG Lingfei. Plant property regulates soil bacterial community structure under altered precipitation regimes in a semi-arid desert grassland, China[J]. Journal of Arid Land, 2023, 15(5): 602-619.
[7] Sakine KOOHI, Hadi RAMEZANI ETEDALI. Future meteorological drought conditions in southwestern Iran based on the NEX-GDDP climate dataset[J]. Journal of Arid Land, 2023, 15(4): 377-392.
[8] ZHANG Yixin, LI Peng, XU Guoce, MIN Zhiqiang, LI Qingshun, LI Zhanbin, WANG Bin, CHEN Yiting. Temporal and spatial variation characteristics of extreme precipitation on the Loess Plateau of China facing the precipitation process[J]. Journal of Arid Land, 2023, 15(4): 439-459.
[9] LI Hongfang, WANG Jian, LIU Hu, MIAO Henglu, LIU Jianfeng. Responses of vegetation yield to precipitation and reference evapotranspiration in a desert steppe in Inner Mongolia, China[J]. Journal of Arid Land, 2023, 15(4): 477-490.
[10] Adnan ABBAS, Asher S BHATTI, Safi ULLAH, Waheed ULLAH, Muhammad WASEEM, ZHAO Chengyi, DOU Xin, Gohar ALI. Projection of precipitation extremes over South Asia from CMIP6 GCMs[J]. Journal of Arid Land, 2023, 15(3): 274-296.
[11] YANG Ye, ZHANG Mingjun, ZHANG Yu, WANG Shengjie, WANG Jiaxin. Evaluating the soil evaporation loss rate in a gravel-sand mulching environment based on stable isotopes data[J]. Journal of Arid Land, 2022, 14(8): 925-939.
[12] LI Qian, MA Long, LIU Tingxi. Transformation among precipitation, surface water, groundwater, and mine water in the Hailiutu River Basin under mining activity[J]. Journal of Arid Land, 2022, 14(6): 620-636.
[13] SU Yuan, GONG Yanming, HAN Wenxuan, LI Kaihui, LIU Xuejun. Dependency of litter decomposition on litter quality, climate change, and grassland type in the alpine grassland of Tianshan Mountains, Northwest China[J]. Journal of Arid Land, 2022, 14(6): 691-703.
[14] ZOU Yiping, ZHANG Shuyue, SHI Ziyue, ZHOU Huixin, ZHENG Haowei, HU Jiahui, MEI Jing, BAI Lu, JIA Jianli. Effects of mixed-based biochar on water infiltration and evaporation in aeolian sand soil[J]. Journal of Arid Land, 2022, 14(4): 374-389.
[15] CHEN Haiyan, CHEN Yaning, LI Dalong, LI Weihong, YANG Yuhui. Identifying water vapor sources of precipitation in forest and grassland in the north slope of the Tianshan Mountains, Central Asia[J]. Journal of Arid Land, 2022, 14(3): 297-309.