Distribution, assessment, and sources of nutrients in river water in the headwaters of the Shule River Basin, Northeastern Qinghai-Tibet Plateau

Journal of Environmental Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Relationships between Landscape Patterns and Hydrological Processes in the Subtropical Monsoon Climate Zone of Southeastern China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(9), P. 2290 - 2290

Published: April 26, 2023

With rapid economic development, extensive human activity has changed landscape patterns (LPs) dramatically, which further influenced hydrological processes. However, the effects of LPs changes on processes, especially for streamflow–sediment relationship in subtropical monsoon climate zone, have not been reported. In our study, 10 watersheds with different sizes zone southeastern China were chosen as study area, and effect 14 most commonly used metrics (LMs) 4 typical indices (water yields (WY), runoff coefficient (RC), soil erosion modulus (SEM), suspended sediment concentration (SSC)) analyzed based land use maps data from 1990 to 2019. The results reveal that LP characteristics within area significantly. number patches shape significantly positively correlated watershed size (p < 0.01). For watersheds, largest patch index was negatively WY, RC, SEM, perimeter fractal dimension SSC. several LMs had scale effects. WY/RC interspersion juxtaposition larger but smaller watersheds. Similar found Shannon’s diversity/evenness SEM. general, an increase a small diversity would fragmentation result more erosion, affect between streamflow yield. As result, proper decrease physical connectivity benefit prevention. These enhance knowledge about processes local water conservation efforts.

Language: Английский

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Deployment of interpretable machine learning in a water treatment device - feasibility exploration of performance enhancement

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 58, P. 104781 - 104781

Published: Jan. 11, 2024

Language: Английский

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Elevation-associated pathways mediate aquatic biodiversity at multi-trophic levels along a plateau inland river

Water Research, Journal Year: 2024, Volume and Issue: 258, P. 121779 - 121779

Published: May 16, 2024

Language: Английский

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Improvements in the InVEST water purification model for detecting spatio-temporal changesintotal nitrogen and total phosphorus discharges in the Huai river watershed, China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121918 - 121918

Published: July 20, 2024

Improving water quality to provide freshwater is an urgent requirement for regional and even global social development. More accurate simulation of non-point sources pollution, monitored mainly by total nitrogen (TN) phosphorus (TP), has always been a challenge InVEST purification model, particularly in agricultural areas. This can be attributed the fact that there no reference data TN TP rectify outcomes modelled this model. paper provided these results ensure their accuracy. The Huai River watershed (HRW) important grain production area with slow economic development, source pollution exceeded point-source pollution. There need management authorities obtain complete spatio-temporal on loads exports improve quality. onloads were estimated entire its sub-watersheds through investigation-evaluation technique during 1980–2018. generated from sector major HRW had similar time trends same period. spatial distribution was byusingthe it found temporal final into river systems those Key driving factors detected using Geo-detector method quantify contribution rates spatiotemporal TP. Our showed individual factors, such as precipitation land use/cover, most variations 1980 2018. Meanwhile, interactions between use/cover other consistently highest In study, we TP, patterns 2018, providing information water-related authorities. We also calibrate parameters biophysical table model based

Language: Английский

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Machine learning models to predict nitrate concentration in a river basin

Environmental Research Communications, Journal Year: 2022, Volume and Issue: 4(12), P. 125012 - 125012

Published: Dec. 1, 2022

Abstract Aquifer-stream interactions affect the water quality in Mediterranean areas; therefore, coupling of surface and groundwater models is generally used to solve water-planning pollution problems river basins. However, their use limited because model inputs outputs are not spatially temporally linked, data update fitting laborious tasks. Machine learning have shown great potential simulation, as they can identify statistical relationship between input output without explicit requirement knowing physical processes. This allows ecological, hydrological, environmental variables that influence be analysed with a holistic approach. In this research, feature selection (FS) methods algorithms artificial intelligence—random forest (RF) eXtreme Gradient Boosting (XGBoost) trees—are simulate nitrate concentration determine main drivers related streams. The developed included 19 sampling 159 quality-gauging stations explanatory variables. were trained on 70 percent data, 30 validate predictions. Results showed combination FS method local knowledge about dataset best option improve model’s performance, while RF XGBoost high performance (r = 0.93 r 0.92, respectively). final ranking, based relative importance models, that, regarding nitrogen phosphorus concentration, location explained 87 variability. predicted accuracy using conditions or parameters entry enabled observation different relationships drivers. Thus, it possible delimit zones spatial risk approaches implementing solutions.

Language: Английский

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Spatial and Temporal Distribution Characteristics of Nutrient Elements and Heavy Metals in Surface Water of Tibet, China and Their Pollution Assessment

Water, Journal Year: 2022, Volume and Issue: 14(22), P. 3664 - 3664

Published: Nov. 14, 2022

In the context of global climate change, ecological environment Tibet has been gaining attention given its unique geographical and fragile nature. this study, to understand pollution status surface water Tibet, China, we collected monthly data 12 indicators from 41 cross-sectional monitoring sites in 2021 analyzed spatial temporal variations nutrients heavy metal elements, quality conditions, pollutant sources water. All polluting except lead (Pb), had significant seasonal variations, but magnitude differences was very small. Spatially, nutrient elements were relatively concentrated agricultural pastoral development areas central northern Tibet. general, most parts found be good, sections belonged Class I standard as per entropy method–fuzzy evaluation method. The study used a multivariate statistical method analyze factors. principal component analysis identified four components. results can provide scientific basis for prevention control Autonomous Region, contribute further research on ecology.

Language: Английский

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Research on Surface Water Quality Assessment and Its Driving Factors: A Case Study in Taizhou City, China

Water, Journal Year: 2022, Volume and Issue: 15(1), P. 26 - 26

Published: Dec. 21, 2022

It is necessary to assess and analyze the factors that influence surface water since they are crucial human activities such as agriculture, raising livestock, industry. Previous research has mostly focused on how land use landscape patterns affect quality of waters; it seldom addressed industrial agricultural production directly connected society. Therefore, area’s was assessed by single factor index (SFI) composite (WQI), divided into flood non-flood periods, indicators with severe pollution significant seasonal variations were selected; A total 28 selected from three main factors-topography, socio-economic, type-and analyzed using Spearman correlation coefficient model. (1) SFI data reveal substantial changes in pH, DO, NH3-N, TN, TP indicators. The well-developed aquaculture studied region primary cause excess TN NH3-N concentrations; (2) sample points’ (WQI) scores range 50 80, 62% them having “medium” quality; (3) study variation primarily caused socio-economic (GDP, effluent discharge, COD aquatic product quality, proportion primary, secondary, tertiary industries), well type (forest, shrubland, cropland). Topography little effect quality. This offers a fresh viewpoint management driver analysis, new framework for managing safeguarding ecosystems.

Language: Английский

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Modelización integrada con aprendizaje automático para evaluar la contaminación por nutrientes en las masas de agua actual y bajo el efecto del cambio climático. Aplicación a la Demarcación Hidrográfica del Júcar

Published: Jan. 24, 2024

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Analysis of the Application Prospect of Biochar Production From Characteristic Solid Waste Biomass Resources in the Qinghai-Tibet Plateau

Polish Journal of Environmental Studies, Journal Year: 2024, Volume and Issue: 33(4), P. 3999 - 4010

Published: April 19, 2024

The Qinghai-Tibet Plateau is an important ecological security barrier in China.Considering the rich local waste biomass with a single treatment method and low level of resource utilization, biochar utilization solid can be carried out based on research that has abundant material sources.According to application methods various types resources have not been out, this review analyzes discusses plateau region, such as sewage plant sludge, food waste, green leaves, barley straw, yak manure, unique Tibetan tea medicine residue reviews applications for similar raw materials at home abroad.Further, technical outlook solar pyrolysis technology UV radiation modification development hybrid enhance performance heavy metal passivation are proposed by utilizing energy Plateau.Collectively, it provides reference prevention restoration fragile environment Plateau, reduces pressure disposal realizes waste.

Language: Английский

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