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Analysis of Agricultural Non-point Source Pollution in A Small Watershed in Typical Mountainous Areas at Dongjiang Headwaters ——Taking the Dongjiang Watershed in Dingnan County as...
Published 2023-01-01“…The current situation of agricultural non-point source pollution in a small watershed in typical mountainous areas at Dongjiang Headwaters were investigated and analyzed,and the agricultural non-point source pollution sources,pollution load and pollution load intensity in this watershed were analyzed,so as to provide a reference for ensuring the safety of water sources in the Guangdong-Hong Kong-Macao Greater Bay Area and promoting the precise pollution control in the watershed.The pollution types such as human settlements,agricultural planting,livestock and poultry breeding and aquaculture in the Dongjiang River Basin of Dingnan County were classified and investigated at the scale of county and township.The pollution load and pollution load intensity were estimated using the output coefficient method and the equivalent pollution load method,and the spatial distribution of pollutants was analyzed by clusteranalysis and ArcGIS.It was found that the main pollutants from agricultural non-point sources in the Dongjiang River Basin of Dingnan County were TN and NH<sup>+</sup><sub>4</sub>-N,which mainly came from human settlements and agricultural planting,and the pollution sources were concentrated in Lishi Town and Egong Town.Strengthening residents' awareness of water environmental protection,speeding up the construction of supporting sewage pipe networks,strengthening the operation and management of sewage equipments,and rationally applying nitrogen and phosphate fertilizers are of great significance for promoting the continuous emission reduction of agricultural non-point source pollution in the mountainous watershed at Dongjiang Headwaters.…”
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The relationship between social media fatigue and online trolling behavior among college students: the mediating roles of relative deprivation and hostile attribution bias
Published 2025-01-01“…Using a cross-sectional survey design, data were collected from 349 college students from Guangdong via an online questionnaire. Key variables, including social media fatigue, relative deprivation, and hostile attribution bias, were measured using validated scales: the SNS Fatigue Questionnaire, the Personal Relative Deprivation Scale, the Word Sentence Association Paradigm for Hostility, and the revised Global Assessment of Internet Trolling. …”
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Prediction model for economy-driven provincial natural gas load in China
Published 2023-10-01“…Under the scenario of a compound GDP growth rate of 5%, the total demand for natural gas in the ten provinces (municipalities directly under the Central Government) will reach 3 155×108 m3 in 2030, which is 2.5 times that of 2021. Among them, Guangdong Province and Hunan Province have the largest absolute increase and the highest growth rate of consumption, respectively. …”
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Predicting the Hall-Petch slope of magnesium alloys by machine learning
Published 2024-11-01Get full text
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3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background
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The Effects of Climate and Anthropogenic Activity on Hydrologic Features in Yanhe River
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DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN–Transformer Network
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Wernicke encephalopathy in a patient with drug-induced liver failure: a case report
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Fusion-Based Damage Segmentation for Multimodal Building Façade Images from an End-to-End Perspective
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Association between Vitamin D Status and Mortality among Adults with Diabetic Kidney Disease
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Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints
Published 2024-12-01“…The effectiveness of the proposed method is demonstrated through a case study in Guangdong, resulting in a significant 5% increase in power output potential compared to conventional approaches. …”
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Dielectric properties and thermal stability of popular 5G polymers at terahertz frequency range
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Effects of Furrow Irrigation on the Growth, Production, and Water Use Efficiency of Direct Sowing Rice
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Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion
Published 2025-02-01“…Thirty-nine samples from eight regions in Xinhui district (Guangdong, China) are analyzed by gas chromatography (GC) and mid-infrared (MIR) technique. …”
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