Shallow groundwater nitrogen responses to different land use managements in the riparian zone of Yuqiao Reservoir in North China

Lu, Haiming; Yin, Chengqing

doi:10.1016/s1001-0742(08)62108-7

Cited by 9 publications

(3 citation statements)

References 13 publications

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“…In the northeastern parts, the main contaminants are nitrogen, volatile phenols, and petroleum pollutants, which are often released by heavy industry and oil exploration282930. In Northern China, the main contaminants exceeding the standards are N, Fe, Mn, and petroleum pollutants3132333435, whereas pollutants in northwestern China are dominated by N, Cr, and Pb3637. The groundwater is generally high-quality in the southwestern parts, but is sometimes excessively contaminated by Fe, Mn, and volatile phenols3839.…”

Section: Methodsmentioning

confidence: 99%

Identification of dominating factors affecting vadose zone vulnerability by a simulation method

Wutian

et al. 2017

Sci Rep

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The characteristics of vadose zone vulnerability dominating factors (VDFs) are closely related to the migration and transformation mechanisms of contaminants in the vadose zone, which directly affect the state of the contaminants percolating to the groundwater. This study analyzes the hydrogeological profile of the pore water regions in the vadose zone, and conceptualizes the vadose zone as single lithologic, double lithologic, or multi lithologic. To accurately determine how the location of the pollution source influences the groundwater, we classify the permeabilities (thicknesses) of different media into clay-layer and non-clay-layer permeabilities (thicknesses), and introduce the maximum pollution thickness. Meanwhile, the physicochemical reactions of the contaminants in the vadose zone are represented by the soil adsorption and soil degradability. The VDFs are determined from the factors and parameters in groundwater vulnerability assessment. The VDFs are identified and sequenced in simulations and a sensitivity analysis. When applied to three polluted sites in China, the method improved the weighting of factors in groundwater vulnerability assessment, and increased the reliability of predicting groundwater vulnerability to contaminants.

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Section: Methodsmentioning

confidence: 99%

Identification of dominating factors affecting vadose zone vulnerability by a simulation method

Wutian

et al. 2017

Sci Rep

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“…It is essential for water contamination control measures to identify the element and source of water pollution sources here, especially regarding the control of pollution from nitrate and other nutrients. Previous studies on the Yuqiao Reservoir mainly focused on the composition of nitrogen in the shallow ground water, the analysis of the water quality status in 1990-2004, diffuse pollution, the source and migration factor of non-point source phosphorus, and forecasting water quality conditions in the future using a BP neural network (Zhang et al, 2003;Wang et al, 2004;Zhao et al, 2007;Lu and Yin, 2008;Xu et al, 2015). To sum up, the apportionment of pollution sources in a specific set of pollutants or simply assessing the condition in a set of pollutants was conducted in previous studies in the gathering area.…”

Section: Introductionmentioning

confidence: 99%

Assessments of surface water quality through the use of multivariate statistical techniques: A case study for the watershed of the Yuqiao Reservoir, China

Wang

Jia²,

Shi³

et al. 2023

Front. Environ. Sci.

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In light of the fact that water quality has been threatened by human activities, apportionments of potential pollution sources are essential for water pollution control. Multivariate methods were used to assess the water quality in the Yuqiao Reservoir and its surrounding rivers in northern China to identify potential pollution sources and quantify their apportionment. Fifteen variables at 10 sites were surveyed monthly in 2015–2016. The quality at this location was acceptable according to the water quality index (WQI), except for special parameters including chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), and chlorophyll (chlα). Cluster analysis (CA) grouped these datasets into three seasonal groups, July–September, December–March, and the remaining months. Principal component analysis/factor analysis (PCA/FA) identified seven factors that accounted for 79.7%–86.4% of the total variance, and the main sources included cities, rural districts, industries, weather, fertilizers, upstream areas, and vehicles. Absolute principal component scores and multiple linear regression (APCS–MLR) modeling results show that the hierarchical contribution of main pollution sources was ranked in the following order: upstream (26.6%) > urban district pollution source (21.5%) > vehicle emission pollution source (10.9%) in the flood season, upstream (22.3%) > rural district pollution (19.8%) > fertilizer erosion (15.8%) in the normal season, and upstream (26.4%) > urban district pollution (19.0%) > fertilizer erosion (18.8%) in the dry season. Sources from upstream and urban districts explained the most proportion. The matrix was also subjected to positive matrix factorization (PMF). A comparison of PMF and APCS–MLR results showed significant differences in the contribution of potential pollution sources. The APCS–MLR model performed better, as evidenced by a more robust R2 test. Measures should be discussed and implemented in managing upstream areas, sewage treatment facilities, and fertilizer and industrial application.

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“…Therefore, it is extremely important to explore the source, migration, and transformation of pollutants in the Yuqiao Reservoir and analyze their influencing factors, which should be considered in the future for the prevention and remediation of pollutants [ 36 ]. At present, the research on the water quality of the Yuqiao Reservoir has mainly involved the estimation of reservoir water source, nutrient load through models [ 37 , 38 ], land use types [ 39 ], endogenous sediments on the water quality of the reservoir [ 40 , 41 ], and diversion structure and phytoplankton on the water quality of the reservoir [ 5 , 42 ]. There is still a lack of research on the mechanism between rainfall change and water quality against the background of climate change.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Rainfall on Aquatic Nitrogen and Phosphorus in a Semi-Humid Area Catchment, Northern China

Shou

Tian

Zeng

et al. 2022

IJERPH

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The impact of rainfall on water quality may be more important in semi-arid regions, where rainfall is concentrated over a couple of months. To explore the impact of rainfall changes on water quality, e.g., nitrogen (TN) and phosphorous (TP), the diversion from Luan River to Tianjin Watershed in the northern semi-humid area was selected as the study area. TN and TP concentrations in rivers and the Yuqiao Reservoir during the three-year high-flow season (2019–2021) were analyzed. The response relationship and influencing factors among the watershed’s biogeochemical process, rainfall, and water quality were clarified. The results showed that rainfall in the high flow season mainly controlled the river flow. The concentration of TN and TP in the inflow rivers is regulated by rainfall/flow, while the concentration of TN and TP in the water diversion river has different variation characteristics in the water diversion period and other periods. The lowest annual concentrations of TN and TP were observed in the normal year, while the highest annual concentration was observed in the wet year, indicating that the hydrological process drove the nutrient transport in the watershed. For the tributaries, the Li River catchment contributed a large amount of N and P to the aquatic environment. For the reservoir, the extreme TN concentrations were the same as the tributaries, while the extremes of TP concentrations decreased from the dry year to wet year, which was in contrast to the tributaries. The spatial variation of TN and TP concentrations in the reservoir showed that the concentration decreased following the flow direction from the river estuary to the reservoir outlet. Considering climate change, with the increase of rainfall in North China in the future, the TN and TP transport fluxes in the watershed may continue to increase, leading to the nitrogen and phosphorus load of the downstream reservoir. To ensure the impact of the increase of potential N and P output fluxes in the watershed on the water quality of the reservoir area, it is necessary to strengthen the effective prevention and control of non-point source pollution in the watershed.

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Shallow groundwater nitrogen responses to different land use managements in the riparian zone of Yuqiao Reservoir in North China

Cited by 9 publications

References 13 publications

Identification of dominating factors affecting vadose zone vulnerability by a simulation method

Identification of dominating factors affecting vadose zone vulnerability by a simulation method

Assessments of surface water quality through the use of multivariate statistical techniques: A case study for the watershed of the Yuqiao Reservoir, China

The Effect of Rainfall on Aquatic Nitrogen and Phosphorus in a Semi-Humid Area Catchment, Northern China

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