Research papersCoupled controls of climate, lithology and land use on dissolved trace elements in a karst river system
Introduction
The rapid process of urbanization and the intensification of agricultural activities worldwide have led to water pollution, notably heavy metal pollution in the aquatic environment (Krishna et al., 2009, Lemly, 1996, Liu et al., 2013, Pekey et al., 2004). Dissolved trace elements (DTEs) are essential for natural ecosystems and human health. For example, Al concentrations are related to the abundance of fish in rivers (Gaillardet et al., 2003). Se from industrial and agricultural sources have been found to poison fish and wildlife (Lemly, 1996). As in groundwater put at least 100 million people at risk for cancer and other As-related diseases (Bhattacharya et al., 2007). Natural sources of DTEs in river waters include bedrock weathering, volcanism and atmospheric precipitation etc., most of which are controlled by geology (Gaillardet et al., 2003, Gonneea et al., 2014, Krishna et al., 2009). Anthropogenic sources include mining, mineral processing, metal smelting and waste incineration etc (Huang et al., 2007, Li and Zhang, 2010b, Liu et al., 2013, Meng et al., 2016). Trace metals (TEs) tend to be trapped in the aquatic environment and accumulated in sediments, thus threatening the aquatic ecosystems (Pekey et al., 2004, Zeng and Han, 2020, Zeng et al., 2020). Some TEs, e.g., Cu and Zn, are considered to be biological micronutrients necessary for normal growth and function of organisms; in contrast, some TEs, e.g., As, Cd, Hg, Pb, Se and Sn, are considered harmful to human health and aquatic life (Bhattacharya et al., 2007, Lemly, 1996, Pekey et al., 2004). Humans have exploited many TEs from natural accumulation sites and used them, and they are thus an indicator that is highly sensitive to human impacts (Gaillardet et al., 2003).
Globally, karst landscapes cover roughly 20% of ice-free land (Hartmann and Moosdorf, 2012), and supply potable water for 25% of the world's population (Ford and Williams, 2013). Due to the rapid chemical weathering rate, carbonate rocks have been affecting the hydrochemical characteristics of many rivers in the world (Gaillardet et al., 1999). Additionally, for this reason, heavy metal elements are rapidly released as the carbonate weathering, and then migrate and enrich into the environment through precipitation, adsorption and complexation (Wu et al., 2020). Carbonate diagenesis can lead to a higher iron oxide content, making Cr, Ni, Cu and Zn more easily enriched in sediments and soils in carbonate watersheds by stronger metal adsorption (Qu et al., 2020). Therefore, although the contents of most of the heavy metals in carbonate bedrock are relatively low, carbonate weathering is one of the major causes of metal pollution in karst areas in southwestern China (Qu et al., 2020, Wu et al., 2020). Previous studies have found that some DTEs are mainly derived from silicates and evaporites (Gaillardet et al., 2003, Ma et al., 2020, Wang et al., 2015), and showed that the contents of some DTEs are closely related to carbonate minerals, e.g., Sr and U (Chen et al., 2020, Gonneea et al., 2014, Han and Liu, 2004, Neal et al., 2006, Palmer and Edmond, 1993), but there are still few systematic studies of DTEs for karst-dominated watersheds.
Karst terrains are highly susceptible to anthropogenic and climatic changes (Sullivan et al., 2019). Substantial research documented that, in addition to lithology, land use also significantly affects the hydrochemistry of karst rivers (Jiang et al., 2008, Xu et al., 2020, Yue et al., 2019). In addition, the major ion geochemistry of karst river waters is closely related to the hydrologic condition, which is regulated by climate change (Zhong et al., 2017). Research on the Xijiang River found that the concentrations of some DTEs (e.g., Mn, Zn and Pb) showed significant seasonal variations, which are significantly affected by the monsoon climate (Liu et al., 2017). More than half of the flux of DTEs occurs in the high flow season in the Pearl River, which is mainly controlled by the high discharge (Zeng et al., 2019). Guizhou province, the central karst region of southwestern China, was one of the provinces with the fastest Gross Domestic Product (GDP) growth rate in China in 2019 and is in the process of rapid urbanization. The impacts of urbanization on dissolved trace element concentrations (DTECs) in this karst region are not yet well known. For better water quality, it is necessary to explore the responses of DTEs in karst river waters to the impacts of both natural and anthropogenic factors (Gonneea et al., 2014, Liu et al., 2017, Park et al., 2005, Sullivan et al., 2019, Zhu et al., 2018).
So far, geochemical characteristics of DTEs and their contamination to the aquatic environment have been studied in many watersheds in China (Meng et al., 2016, Xiao et al., 2014, Xiao et al., 2019, Wang et al., 2017, Zeng et al., 2015). As the third-largest river (in terms of length (6300 km)) in the world and the largest river in China, many studies have been conducted to investigate TEs of river waters and sediments in the Yangtze River basin (Li and Zhang, 2010b, Qu et al., 2019, Wang et al., 2011, Wu et al., 2009, Zeng et al., 2015). Chishui River is the only undammed first level tributary in the Yangtze River basin and an important rare fish reserve, so it has unique ecological status in China (Chi et al., 2017, Jiang et al., 2011). Chishui River basin has abundant natural resources, especially the reserves of coal and pyrite (Ren et al., 2009). With the development of economy, the environmental protection in this basin is facing unprecedented pressure. Moreover, the Chishui River flows through the karst terrains, so that severe soil erosion has resulted in a fragile ecological environment. Chishui River basin is famous for its developed liquor industry and high aquatic biodiversity, and has nearly 10 million people living in there (Chi et al., 2017, Ren et al., 2009). For these reasons, the importance of water quality for regional drinking water safety and the economic development in this basin is self-evident.
Based on the above considerations, our study is based on the quantitative analyses of lithology and land use, to investigate the eighteen selected DTEs (Al, As, Ba, Co, Cr, Cu, Ga, Li, Mn, Mo, Ni, Pb, Rb, Sb, Sr, U, V and Zn) of river waters in the Chishui River basin, southwestern China. In this investigation, the aims are to: (1) investigate the contents and seasonal-spatial variations of DTEs and to evaluate water quality and health risks through the Water Quality Index (WQI) and Hazard Quotient/Index (HQ/HI), respectively; (2) explore the possible sources of eighteen selected DTEs using multivariate statistical analyses; (3) identify the main controlling factors of DTECs. The results can provide important information for local water quality protection, and can help to better understand the geochemical behaviour of DTEs and their response to the impacts of natural and anthropogenic factors in the context of global change.
Section snippets
Site description
The Chishui River is located in the transitional areas between Yunnan-Kweichow Plateau and Sichuan Basin in southwestern China, and encompasses a basin area of approximately 18852 km2 (Fig. 1a and b). Most of this basin is occupied by mountainous or hills, and the river flows from southwest to the north into the Yangtze River. This basin is situated in the subtropical region, and the annual average temperature and precipitation range from 11 to 13 °C and 800 to 1200 mm, respectively (Zhai and
Characteristics of dissolved trace elements
Table 1 shows the statistics of DTEs and physic-chemical parameters including Al, As, Ba, Co, Cr, Cu, Ga, Li, Mn, Mo, Ni, Pb, Rb, Sb, Sr, U, V, Zn, WT, pH and EC over the two periods at 38 sampling sites in the Chishui River basin. The Kolmogorov–Smirnov test results indicate that the data of Cr and WT were normally distributed during the wet season, and the data of pH were normally distributed in both the wet and dry seasons (value > 0.1). To compare dispersion between different DTE datasets
Water quality and health risk assessments
Water quality parameters were compared with the Chinese drinking water standards (Ministry of Health, 2006). The concentration, standard value, and relative weight of each TE (Wi) (Table 3) were used to calculate the WQI values (Eq. (1)), and the seasonal-spatial variations in WQI values are shown in Fig. 3s. In this study, the WQI values ranged from 1.7 to 33.1 and 0.9 to 15.7 during the wet and dry periods, respectively. Water samples in the wet season from sites T15 (Yanjin river), T20
Conclusions
In this study, eighteen DTEs were analyzed to investigate their contents and seasonal-spatial variations, and to evaluate the water quality and health risks in terms of DTECs. The sources and controlling factors of DTEs were identified using statistical analysis methods. The conclusions can be summarized as follows:
- (1)
DTECs were at a relatively low level in the Chishui River basin. Only Al and Mn concentrations of some of the water samples in the wet season were higher than the values of Chinese
CRediT authorship contribution statement
Sen Xu: Conceptualization, Software, Validation, Formal analysis, Investigation, Data curation, Writing - original draft, Writing - review & editing, Visualization. Yunchao Lang: Methodology, Resources, Project administration, Funding acquisition, Writing - review & editing, Supervision. Jun Zhong: Investigation, Resources. Min Xiao: Conceptualization, Writing - review & editing, Project administration, Funding acquisition. Hu Ding: Conceptualization, Writing - original draft, Writing - review
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
This study has been financially supported by the Strategic Priority Research Program of Chinese Academy of Sciences (No. XDB40000000), the National Natural Science Foundation of China (No. U1612441 and No. 41571130072), the National Key R&D Program of China (No. 2016YFA0601002), and the Talent Introduction Project from Tianjin Normal University, China (No. 5KGCC18002). The authors thank Jing Su and Shuai Chen for their help in the sample collections.
References (59)
- et al.
Arsenic in the environment: Biology and Chemistry
Sci. Total Environ.
(2007) - et al.
Ca isotope constraints on chemical weathering processes: Evidence from headwater in the Changjiang River
China. Chem. Geol.
(2020) - et al.
Risk-based evaluation of the exposure of children to trace elements in playgrounds in Madrid (Spain)
Chemosphere.
(2007) - et al.
Global silicate weathering and CO2 consumption rates deduced from the chemistry of large rivers
Chem. Geol.
(1999) - et al.
- et al.
Trace element geochemistry of groundwater in a karst subterranean estuary (Yucatan Peninsula, Mexico)
Geochim. Cosmochim. Acta.
(2014) - et al.
Water geochemistry controlled by carbonate dissolution: a study of the river waters draining karst-dominated terrain, Guizhou Province
China. Chem. Geol.
(2004) - et al.
Survey of heavy metal pollution and assessment of agricultural soil in Yangzhong district, Jiangsu Province
China. Chemosphere.
(2007) - et al.
Longitudinal patterns of macroinvertebrate functional feeding groups in a Chinese river system: A test for river continuum concept (RCC)
Quatern. Int.
(2011) - et al.
Assessment of heavy metal pollution in water using multivariate statistical techniques in an industrial area: A case study from Patancheru, Medak District, Andhra Pradesh
India. J. Hazard. Mater.
(2009)
Source apportionment of suspended particulate matter at two traffic junctions in Mumbai
India. Atmos. Environ.
Health risks associated with cobalt exposure — an overview
Sci. Total Environ.
Evaluation of the Hazard Quotient Method for Risk Assessment of Selenium
Ecotoxicol. Environ. Saf.
Analysis and assessment on heavy metal sources in the coastal soils developed from alluvial deposits using multivariate statistical methods
J. Hazard. Mater.
Risk assessment and seasonal variations of dissolved trace elements and heavy metals in the Upper Han River
China. J. Hazard. Mater.
Spatial characterization of dissolved trace elements and heavy metals in the upper Han River (China) using multivariate statistical techniques
J. Hazard. Mater.
Response of dissolved trace metals to land use/land cover and their source apportionment using a receptor model in a subtropic river
China. J. Hazard. Mater.
Heavy metal speciation and pollution of agricultural soils along Jishui River in non-ferrous metal mine area in Jiangxi Province
China. J. Geochem. Explor.
The water quality of the River Thame in the Thames Basin of south/south-eastern England
Sci. Total Environ.
Uranium in river water
Geochim. Cosmochim. Acta.
Source apportionment of trace metals in surface waters of a polluted stream using multivariate statistical analyses
Mar. Pollut. Bull.
Water quality in the Tibetan Plateau: Major ions and trace elements in rivers of the “Water Tower of Asia”
Sci. Total Environ.
The behavior of metals/metalloids during natural weathering: A systematic study of the mono-lithological watersheds in the upper Pearl River Basin
China. Sci. Total Environ.
Dissolved organic matter and trace element variability in a blackwater-fed bay following precipitation
Estuar. Coast. Shelf. Sci.
Evaluation of water quality using water quality index (WQI) method and GIS in Aksu River (SW-Turkey)
Sci. Total Environ.
Geomorphic regime modulates hydrologic control of chemical weathering in the Andes-Amazon
Geochim. Cosmochim. Acta.
Multivariate statistical evaluation of dissolved trace elements and a water quality assessment in the middle reaches of Huaihe River, Anhui
China. Sci. Total Environ.
Behavior of lithium isotopes in the Changjiang River system: Sources effects and response to weathering and erosion
Geochim. Cosmochim. Acta.
The impact of natural weathering and mining on heavy metal accumulation in the karst areas of the Pearl River Basin
China. Sci. Total Environ.
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