Characterization of geothermal water in the piedmont region of Qinling Mountains and Lantian-Bahe Group in Guanzhong Basin, China

Xu, Panpan; Zhang, Qiying; Qian, Hui; Li, Mengna; Hou, Kai

doi:10.1007/s12665-019-8418-6

Cited by 42 publications

(14 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Detailed surface water quality data were analyzed by conducting analysis of variance ANOVA, principal components analysis (PCA) and hierarchical cluster analysis (HCA) for all parameters by Statistical Package for Social Sciences(SPSS) (Xu et al, 2019;Dassi et al, 2011;Liu et al, 2018;Zhang et al, 2014;Xu et al2021). For ANOVA test, the controlling factors in this study is time or space, which belongs to one-way ANOVA.…”

Section: Data Processingmentioning

confidence: 99%

See 1 more Smart Citation

Surface water quality assessment using hybrid multivariate statistical analysis and geographic information system based on integrated water quality index model for Maozhou River Basin, Guangdong, China

Lin¹,

Yu²,

Wang³

et al. 2021

Preprint

View full text Add to dashboard Cite

The river is a vital component of the water ecosystem in both urban and rural regions. However, its rapidly increasing pollutants are posing a severe threat for water ecosystem security. Using Multivariate statistical technique and Integrated water quality index model (IWQI) to evaluate surface water quality and its spatial distribution based on Geographic information system (GIS). This combinatorial model have been proved to be a feasible tool for evaluating surface water quality at large-scale basin. This study analyzed the spatio-temporal variations of surface water quality, which were determined monthly from samples collected in the Maozhou River Basin Guangdong Province, China from 2018 to 2020. The results demonstrated that the surface water quality status of in the Maozhou River Basin has been steadily improved during the study period. The surface water quality of 82.17% of monitoring site reached the water quality target of function zones (surface water quality of the class V standards), with the IWQI values ranging from 12.118 to 3.650. By the end of 2019, black-odorous water in Maozhou River basin has disappeared from our sight. By 2020, the water quality status of the Maozhou River Basin has been steadily maintained at “Medium and good” level, and the main background pollutants for the water quality target of function zones is NH3-N. However, the some area in which the surface water quality still need to further improve is estuary and southwest tributary in the basin. This finding calls for further efforts to improve surface water quality and to properly deal with various sources of pollution in the watershed. It is concluded that this combined surface water quality evaluation model is more efficient and reasonable for surface water quality evaluation at a larger scale. It can provide scientific foundation for the water ecosystem management and planning in efficiently managing and evaluating surface water quality at river or basin scales.

show abstract

Section: Data Processingmentioning

confidence: 99%

“…(Zhang et al, 2019). The factor with eigenvalue greater than was selected as the PC (Xu et al, 2019c).…”

Section: Surface Water Quality Characteristicsmentioning

confidence: 99%

Surface water quality assessment using hybrid multivariate statistical analysis and geographic information system based on integrated water quality index model for Maozhou River Basin, Guangdong, China

Lin¹,

Yu²,

Wang³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The Guanzhong Basin covers an area of 2 × 10 4 km 2 and is located at approximately 33°00’–35°20′ N and 106°30′–110°30′ E in the middle of Shaanxi Province, China [28,29]. Its average elevation is about 400 m above sea level (a.s.l.)…”

Section: Study Areamentioning

confidence: 99%

“…Its average elevation is about 400 m above sea level (a.s.l.) [28]. The Guanzhong Basin is also one of the largest basins of the Yellow River Catchment in China [30] and is located between the Qinling Mountains in the south with a maximum elevation of 3767 m a.s.l.…”

Section: Study Areamentioning

confidence: 99%

See 1 more Smart Citation

Assessment of Groundwater Quality and Human Health Risk (HHR) Evaluation of Nitrate in the Central-Western Guanzhong Basin, China

Zhang

Qian

2019

IJERPH

Self Cite

View full text Add to dashboard Cite

To investigate the quality of domestic groundwater and assess its risk to inhabitants of the Guanzhong Basin, China, 191 groundwater samples were collected to analyze major ions, nitrate, pH, total dissolved solids (TDS), total hardness (TH), and electrical conductivity (EC). The physiochemical parameters, hydrochemical facies, and sources of major ions were analyzed using Durov diagrams, bivariate diagrams, and chloro-alkaline indices (CAI-I and CAI-II). The suitability of groundwater for drinking, the nitrate distribution, and human health risk (HHR) for different age groups were evaluated. The results showed that the relative abundance of cations in the groundwater samples was K++Na+ > Ca2+ > Mg2+, while that of anions was HCO3− > SO42− > Cl− > NO3−. Groundwater samples mainly contained HCO3-Na and HCO3-Ca, which were introduced mainly by rock weathering and ion exchange. The groundwater in the Guanzhong Basin contained mainly good and medium water, and the groundwater in the southern part of the Wei River was better than that north of the Wei River. Areas containing high nitrate concentrations were mainly located in the central and western parts of the Guanzhong Basin. The percentages of low risk (<45 mg/L), high risk (45–100 mg/L), and very high risk (>100 mg/L) of nitrate pollution in the study area were 90.58%, 8.9%, and 0.52%, respectively. The HHR assessment results indicated that people in the 6–12 month age group were more likely to suffer from health complications due to a higher nitrate concentration, followed by 6–11 years, 21–65 years, 18–21 years, ≥65 years, 11–16 years, and 16–18 years age groups, which was mainly due to the different exposure parameters. The results of this study will be useful in regional groundwater management and protection.

show abstract

Hydrogeochemical and environmental isotope study of Topusko thermal waters, Croatia

Pavić,

Briški,

Pola

et al. 2024

Environ Geochem Health

View full text Add to dashboard Cite

Thermal waters in Topusko (Croatia), with temperatures of up to 65 °C, have been used for heating, health, and recreational tourism for the past fifty years. Hydrogeochemical monitoring can provide insights into deeper geological processes and indicate system changes from baseline levels. It helps to identify potential anthropogenic impacts, as well as natural changes. Hydrogeochemical, geothermometrical, and environmental isotope studies of thermal waters in Topusko were conducted to improve the existing conceptual model of the Topusko hydrothermal system (THS), providing a baseline for continuous monitoring of the thermal resource. 2-year thermal springs and precipitation monitoring took place from March 2021 until March 2023. Major anions and cations, stable and radioactive isotopes (i.e. 18O, 2H, SO42−, 3H and 14C) and geothermometers were used to assess the origin of thermal waters in Topusko and their interaction with thermal aquifer. The results indicate the meteoric origin of thermal water, which was recharged in colder climatic conditions around the late Pleistocene–Early Holocene. Thermal water was last in contact with the atmosphere before approximately 9.5 kyr. Ca-HCO3 hydrochemical facies suggests carbonate dissolution as the dominant process driving the solute content. Geothermometrical results indicate an equilibrium temperature in the reservoir of 90 °C.

show abstract

Characterization of geothermal water in the piedmont region of Qinling Mountains and Lantian-Bahe Group in Guanzhong Basin, China

Cited by 42 publications

References 52 publications

Surface water quality assessment using hybrid multivariate statistical analysis and geographic information system based on integrated water quality index model for Maozhou River Basin, Guangdong, China

Surface water quality assessment using hybrid multivariate statistical analysis and geographic information system based on integrated water quality index model for Maozhou River Basin, Guangdong, China

Assessment of Groundwater Quality and Human Health Risk (HHR) Evaluation of Nitrate in the Central-Western Guanzhong Basin, China

Hydrogeochemical and environmental isotope study of Topusko thermal waters, Croatia

Contact Info

Product

Resources

About