A substantial reservoir of nitrogen (N) in soil poses a threat to the quality and safety of shallow groundwater, especially under extreme precipitation that hastens nitrogen leaching into groundwater. However, the specific impact of varying precipitation intensities on the concentration and sources of nitrate (NO) in groundwater across diverse hydrogeological zones and land uses remains unclear. This study aims to elucidate the fluctuations in NO concentration, sources, and controlling factors in shallow groundwater under different intensities of precipitation (extreme heavy precipitation and continuous heavy precipitation) in a typical alluvial-pluvial fan of the North China Plain by using stable isotopes (δH-HO, δO-HO, δN-NO, δO-NO), hydrochemical analyses and the SIAR model. Affected by extreme heavy precipitation the depleted isotopes of δH-HO and δO-HO in groundwater of the entire area suggested the rapid recharge of fast flow by precipitation. The enriched isotopes of δH-HO and δO-HO of north part in alluvial fan after continuous heavy precipitation showed the recharge of translatory flow of soil water. NOconcentrations increased to 78.9 mg/L after extreme heavy precipitation and increased to 105.3 mg/L after continuous heavy precipitation when compared to those in normal year (56.8 mg/L) of north part of the alluvial fan. However, NO concentrations had slight variation after continuous heavy precipitation of south part of the fan due to the deep vadose zone. The contribution ratio of sources of NO in groundwater by using SIAR analysis revealed manure & sewage (MS) as the primary NO source (accounting for 59.7-78.1%) before extreme heavy precipitation, chemical fertilizer (CF) making a minor contribution (6.9-17.3%). Different precipitation events and land use types lead to changes in NO sources. Affected by extreme heavy precipitation, the contribution of MS decreased while CF increased, particularly in vegetables (26.2-28.1%) and farmland (29.2-34.7%). After continuous heavy precipitation, MS increased again, particularly in vegetables (50.0%) and farmlands (20.4-66.4%), with CF either increasing or remaining steady. This indicated that continuous heavy precipitation accelerated the leaching of nitrogen (organic manure application) stored in deep soil to groundwater and it has a larger influence on the increasing of NO concentrations of groundwater than extreme heavy precipitation which carried nitrogen (chemical fertilizer application) in shallow soil to groundwater by fast flow. These findings underscore the importance of considering soil chemical N stores and their implications for groundwater contamination mitigation under future extreme climate scenarios, particularly in agricultural management practices.
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http://dx.doi.org/10.1016/j.jenvman.2024.121885 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Key Laboratory of Solid Waste Treatment and Resource Recycle (SWUST), Ministry of Education, Southwest University of Science and Technology, 59 Qinglong Road, Mianyang, 621010, China.
Jarosite residues are typical hazardous waste byproducts generated during the iron removal process in hydrometallurgical solutions. The jarosite process is widely used for iron removal in zinc hydrometallurgy; jarosite disposal has become a significant barrier to sustainable development in the industry. During this process, jarosite residues entrain and co-precipitate with heavy metals, which are hazardous but valuable.
View Article and Find Full Text PDFACS Omega
January 2025
Department of Chemistry and Biology, Faculty of Science, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada.
Naturally occurring peptides display a wide mass distribution after ionization due to the presence of heavy isotopes of C, H, N, O, and S and hydrogen loss. There is a crucial need for sensitive methods that collect as much information as possible about all plasma peptide forms. Statistical analysis of the delta mass distribution of peptide precursors from MS/MS spectra that were matched to 63,077 peptide sequences by X!TANDEM revealed Gaussian peaks representing heavy isotopes and hydrogen loss at integer delta mass values of -3, -2, -1, 0, +1, +2, +3, +4, and +5 Da.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Evolutionary Neuroethology, Max Planck Institute for Chemical Ecology, Jena, 07745, Germany. Electronic address:
Grassland ecosystems, critical for ecosystem services like forage supply, face threats from climate change and grazing pressure. This study investigates the spatiotemporal dynamics of forage supply and grazing intensity in the Yellow River Source Area (YRSA) from 2000 to 2020, focusing on the relative contributions of climate factors and grazing. Our result revealed that forage supply exhibited a southeast-to-northwest decline and increased slightly overall, with variability among grassland types.
View Article and Find Full Text PDFJ Environ Manage
January 2025
The Forestry and Wetland Protection Service Centre of Panjin, Panjin Forestry and Wetland Bureau, Panjin, 124000, China. Electronic address:
The Liaohe River Estuary (LRE) wetland is a critical stopover on the East Asian-Australasian Flyway (EAAF), vital to coastal ecological balance and biodiversity. However, the drivers of changes in waterbird diversity remain unclear. This study utilised random forests to produce reliable time-series wetland mapping from 2010 to 2023.
View Article and Find Full Text PDFSci Total Environ
January 2025
Guangzhou Huadu district drainage management center, Guangzhou 510800, China.
Rapid urbanization has significantly altered surface landscape configurations, leading to complex urban climates. While much attention has been focused on impervious surfaces' impact on extreme precipitation, a critical gap remains in understanding how various 2D urban landscape components influence extreme precipitation across different durations. Through an analysis of the non-stationarity and spatiotemporal variations in extreme precipitation across the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 1990 to 2020, we constructed the non-stationary Generalized Additive Models for Location Scale and Shape (GAMLSS) model by introducing six urban landscape structural metrics as explanatory variables for each of the 27 meteorological stations in the GBA.
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