98%
921
2 minutes
20
In order to analyze the composition, distribution and burial characteristics of nitrogen in sediments of Dianchi Lake in the last hundred years, 6 sediment cores were sampled in July 2014 to determine the contents of different nitrogen species and sedimentary age sequence. The integrated results demonstrated a high content of total nitrogen in sediments ranging from 1263.68-7155.17 mg·kg. The contents of nitrate nitrogen and ammonium nitrogen were low, which were 10.00-144.00 mg·kgand 9.20-146.50 mg·kg, respectively. Organic nitrogen was the main component in the sediments, ranging from 255.80 to 5644.25 mg·kg, composing a large average percentage of 91.26%. In addition, the nitrogen pollution of sediment in Dianchi Lake has reached a high level and is becoming serious since 1970s, which surged in the late 1990s. The spatial difference of total nitrogen was obvious, with comparably the most in the south, less in the north and least in the center. The average deposition rate was changing from 0.092 g·(cm·a) to 0.187 g·(cm·a) in the last 100 years and increased first, then declined, finally showed a slight upward trend over time. The burial rate of total nitrogen in sediment increased over time and almost grew up straightly after 1990,which decreased from the south to the north of Dianchi Lake in space. It was estimated that the reserves of total nitrogen, organic nitrogen, nitrate nitrogen, ammonium nitrogen in the sediment were 92139.15 t, 86745.62 t, 2464.16 t, 2929.37 t, respectively, from 1900 to 2014.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.13227/j.hjkx.201605232 | DOI Listing |
J Environ Manage
August 2025
College of Geographic Sciences, Henan University, Kaifeng, 475001, China.
Plateau basin, characterized by strong radiation, climate variability, and ecological fragility, pose complex challenges for agriculture, requiring a balance between production and ecological goals. The unclear mechanisms underlying the evolution and interaction of agricultural functions (AFs) constrain the formulation of spatial and environmental policies in plateau regions.This research aims to understand the dynamic changes and trade-offs among different AFs in a typical plateau basin.
View Article and Find Full Text PDFSci Total Environ
August 2025
Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control, Faculty of Environmental Science & Engineering, Kunming University of Science & Technology, Kunming 650500, China.
As a ubiquitous and stable phase of soil organic matter, pyrogenic carbon (PyC)-produced by the incomplete combustion of biomass during wildfire burning, fossil fuel consumption, and engineered manufacturing-exhibits exceptional electron-mediating capacity. Dissolved organic matter (DOM), a highly redox-active component in the environment, participates in many biogeochemical cycles and transformations through its electron transfer process. PyC can actively interact with DOM through adsorption and aggregation.
View Article and Find Full Text PDFJ Environ Sci (China)
December 2025
Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.
The sensitivity of phytoplankton growth to chemical stressors influences the composition and function of phytoplankton communities. In this study, we compared the growth, photosynthetic, and metabolic responses of the cyanobacterium Microcystis aeruginosa FACHB-469 and the green alga Raphidocelis subcapitata FACHB-271 to herbicide diuron. The 5-day growth inhibition test showed the M.
View Article and Find Full Text PDFHarmful Algae
September 2025
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China; Chongqing School, University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address:
Harmful cyanobacterial blooms (CyanoHABs) pose a significant threat to global water quality. Although eutrophication and climate change are recognized as key drivers of CyanoHABs proliferation, their synergistic effects remain elusive, hindering effective mitigation strategies. Here, we present a causal inference framework that leverages state-space reconstruction and empirical dynamic modeling to unravel the complex, nonlinear interactions governing CyanoHABs dynamics.
View Article and Find Full Text PDFEnviron Sci Ecotechnol
July 2025
State Key Laboratory of Regional Environment and Sustainability, Key Laboratory of Microorganism Application and Risk Control (SMARC) of Ministry of Ecology and Environment, School of Environment, Tsinghua University, Beijing, 100084, China.
Lake ecosystems, vital freshwater resources, are increasingly threatened by pollution from riverine inputs, making the management of these loads critical for preventing ecological degradation. Predicting the combined effects of multiple rivers on lake water quality is a significant challenge; traditional mechanistic models are computationally intensive and data-dependent, while conventional machine learning methods often fail to capture the system's multifaceted nature. This complexity creates a critical need for an integrated predictive tool for effective environmental management.
View Article and Find Full Text PDF