Evaluating the Sources and Fate of Nitrate in the Alluvial Aquifers in the Shijiazhuang Rural and Suburban Area, China: Hydrochemical and Multi-Isotopic Approaches

Zhang, Yanpeng; Zhou, Aiguo; Zhou, Jianwei; Liu, Cunfu; Cai, Huayang; Liu, Yunde; Wen, Xu

doi:10.3390/w7041515

Cited by 29 publications

(11 citation statements)

References 50 publications

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“…The topography of the study site is a plain and belongs to the Hutuo alluvial-proluvial fan plain on the eastern margin of the Taihang Mountains. The study site has a semi-arid continental monsoon climate characterized by a dry and windy spring, a hot and rainy summer, a mild and cool autumn, and a cold winter [ 30 , 31 , 32 ]. The average annual temperature ranges 12–13 °C, and the annual precipitation ranges 500–600 mm.…”

Section: Methodsmentioning

confidence: 99%

“…The average annual temperature ranges 12–13 °C, and the annual precipitation ranges 500–600 mm. The average annual evaporation ranges 1100–1800 mm, which is approximately three times greater than the annual rainfall [ 30 ]. The soil has developed from alluvial sediment materials, and its type was mostly Mottlic Hapli-Ustic Argosols [ 33 ].…”

Section: Methodsmentioning

confidence: 99%

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Effect of Sewage Irrigation on the CT-Measured Soil Pore Characteristics of a Clay Farmland in Northern China

Gao

Zhao

Liu

et al. 2018

IJERPH

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Sewage irrigation has a strong influence on the physical, chemical, and biological properties of soil. However, the effects of sewage irrigation on the pore characteristics of soil are not well understood. This study compares the effects of sewage irrigation and groundwater irrigation on computed tomography (CT)-measured pore parameters and examines the relationships between CT-measured pore parameters and soil physicochemical and microbial properties. Intact soil cores were collected from S1 irrigated with sewage for 25 years, S2 irrigated with sewage for 52 years, and CK irrigated with groundwater. Various soil pore characteristics were determined, including the total pore number, macropore number (>1 mm diam.), coarse mesopore number (0.264–1 mm diam.), total porosity, macroporosity, coarse mesoporosity, and circularity. The results indicated that sewage irrigation significantly affected soil pore number and porosity. Compared with S1 and S2, CK exhibited a higher average total pore number (91), macropore number (40), coarse mesopore number (51), total porosity (2.08%), macroporosity (1.90%), and coarse mesoporosity (0.18%) throughout the 50–350 mm layer. At depths of 200–350 mm, S2 exhibited the lowest average total pore number (33), macropore number (13), coarse mesopore number (21), total porosity (0.42%), macroporosity (0.35%), and coarse mesoporosity (0.07%) among the three sites. In addition, the average pore numbers and porosity at depths of 200–350 mm decreased with increasing sewage irrigation time. There were significant positive correlations between pore features (including pore numbers and porosity) and soil properties (phosphorus content and fungi numbers). Our results suggest that decreased macropore numbers and macroporosity in the sewage-irrigated farmland may strongly intensify the accumulation of metals and nutrients in the upper layer. The findings of this study are useful for understanding the negative effects of sewage irrigation on soil pore structure and are critical for developing sustainable strategies in agriculture.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Effect of Sewage Irrigation on the CT-Measured Soil Pore Characteristics of a Clay Farmland in Northern China

Gao

Zhao

Liu

et al. 2018

IJERPH

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“…The chloride concentration in precipitation is 0.5 mg/L [42] and that in unpolluted waters are often below 10 mg/L and sometimes below 1 mg/L [43]. The aquifer prone to seawater intrusion have chloride concentrations range from 5 to 460 mg/L [44], whereas the average chloride levels in contaminated wells is approximately 141 mg/L [45].…”

Section: Hydrogeochemical Processes That Affect Groundwater Chemistrymentioning

confidence: 99%

Multivariate Statistical Analysis of Hydrochemical Data and Stable Isotopes of Groundwater Contaminated with Nitrate at Huay Sai Royal Development Study Center and Adjacent Areas in Phetchaburi Province, Thailand

Chotpantarat

Parkchai

Wisitthammasri

2020

Water

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Due to the continuous expansion in agriculture production and industry for many years, groundwater usage has been increasing, with a decrease in groundwater levels in many cases. In addition, in some areas, groundwater quality has degraded due to agrochemical contamination from agricultural areas. The aims of this research pertains to aquifers as follows: (1) to evaluate hydrochemical characteristics of groundwater using multivariate statistical analysis, including principal component analysis (PCA) and hierarchical cluster analysis (HCA), and (2) to integrate the stable isotopes 18 O and 2 H with hydrochemical data to evaluate the origin of the groundwater and indirectly identify the pollution sources of groundwater contaminated with nitrate (NO 3 ). Water samples were collected from 60 groundwater wells with different hydrogeological characteristics and land use types in both the rainy season (in October) and the summer seasons (in February) in the Cha Am district of Phetchaburi Province. The groundwater was separated into 3 types: Ca-Na-Cl, Ca-Na-HCO 3 -Cl, and Na-Cl. Two groundwater wells (no. 19 and 41), which were located southeast and southwest of the study area, had relatively high NO 3 − concentrations (47 mg/L NO 3 and 50 mg/L NO 3 , respectively) that were higher than the groundwater quality standards. These two wells corresponded to the second group that was exposed by HCA. The PCA results revealed the influence of seawater intrusion. Furthermore, multivariate statistical analysis (PC 2) revealed that the NO 3 − that is mainly released from potassium nitrate (KNO 3 ), for example, during pineapple cultivation, directly contaminated the groundwater system.

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“…It should be noted that organic nitrogen productions from manure and sewage were much higher in MSW and ZSW as a result of intensive agriculture and livestock feeding activities. Other potential source isotopic values (M & S, NS, NF and NFA) were based on the relevant literature [8,[31][32][33][34][35][36][37][38][39][40], as shown by boxes in Figure 5. It is clear to see nitrate concentrations being affected by the five sources.…”

Section: Nitrate Isotope Characteristics and Qualitative Analysis Of mentioning

confidence: 99%

“…The source values of δ 15 N-NO 3 − and δ 18 O-NO 3 − for NP were measured from the precipitation samples in the watershed (as shown in Table 3 [8,[31][32][33][34][35][36][37][38][39][40]. It was assumed that the fractionation factors equal zero, as denitrification did not occur in surface water in the study area.…”

Section: Evaluation Of Proportional Contributions Of Different Nitratmentioning

confidence: 99%

Using Dual Isotopes and a Bayesian Isotope Mixing Model to Evaluate Nitrate Sources of Surface Water in a Drinking Water Source Watershed, East China

Wang

et al. 2016

Water

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Evaluating the Sources and Fate of Nitrate in the Alluvial Aquifers in the Shijiazhuang Rural and Suburban Area, China: Hydrochemical and Multi-Isotopic Approaches

Abstract: Abstract:The identification of the sources and fate of NO contaminants is important to protect the water quality of aquifer systems. In this study, NO contaminated groundwater from the drinking water wells in the Shijiazhuang area, China, was chemically (NO /Cl

Cited by 29 publications

References 50 publications

Effect of Sewage Irrigation on the CT-Measured Soil Pore Characteristics of a Clay Farmland in Northern China

Effect of Sewage Irrigation on the CT-Measured Soil Pore Characteristics of a Clay Farmland in Northern China

Multivariate Statistical Analysis of Hydrochemical Data and Stable Isotopes of Groundwater Contaminated with Nitrate at Huay Sai Royal Development Study Center and Adjacent Areas in Phetchaburi Province, Thailand

Using Dual Isotopes and a Bayesian Isotope Mixing Model to Evaluate Nitrate Sources of Surface Water in a Drinking Water Source Watershed, East China

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