Intensified effect of nitrogen forms on dominant phytoplankton species succession by climate change

Water Research, Journal Year: 2024, Volume and Issue: 264, P. 122214 - 122214

Published: Aug. 3, 2024

Language: Английский

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Impact of landscape patterns on river water quality: Spatial-scale effects across an agricultural-urban interface

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113019 - 113019

Published: Dec. 21, 2024

Language: Английский

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Assessment of Water Quality and Pollutant Behavior

Water, Journal Year: 2025, Volume and Issue: 17(3), P. 287 - 287

Published: Jan. 21, 2025

Lakes, rivers, and reservoirs are important aquatic ecosystems that not only provide drinking water, agricultural irrigation industrial production water sources but also play a vital role in maintaining biodiversity ecological balance [...]

Language: Английский

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Study regarding the compatibility between cellulose acetate (CA) and ZnO nanoparticles in polymeric membrane structures using functionalized m-phenylenediamine

Digest Journal of Nanomaterials and Biostructures, Journal Year: 2025, Volume and Issue: 20(1), P. 103 - 112

Published: Jan. 15, 2025

This study examines the effects of functionalized m-phenylenediamine (m-PDA-f) on structure cellulose acetate (CA) polymeric membranes enhanced with zinc oxide nanoparticles (ZnO). The were prepared by dissolving in an aprotic solvent, followed a phase inversion process. addition m-PDA-f facilitates formation bridges between and ZnO nanoparticles. is confirmed FTIR analysis, which reveals shift wavenumber 3 to 5 cm⁻¹, highlighting increase number hydrogen bonds formed. Thermogravimetric analysis (TGA) confirms stability membranes, significant thermal decomposition temperature: from 235 °C for pure 285 composite containing polymer. Differential scanning calorimetry (DSC) lower enthalpy values where mPDA-f present alongside ZnO. Furthermore, best hydrophilicity was observed CA – exhibiting contact angle 34 degrees water droplets, compared 51 membrane without demonstrates compatibility polymer nanomaterial through additional stable bonds.

Language: Английский

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The responses of physical, chemical, and microbiology components on the water quality of Cirebon's estuaries during pre and post‐COVID‐19 pandemic

Water Environment Research, Journal Year: 2025, Volume and Issue: 97(2)

Published: Jan. 29, 2025

Abstract The COVID‐19 pandemic has led to significant societal disruptions, prompting the Indonesian government implement various measures, including partial lockdowns or Community Activities Restrictions Enforcement (CARE), curb virus's spread. This research aims assess impact of environmental parameters on Cirebon's estuaries, focusing physical components (such as temperature, total solids [TS], and turbidity), chemical (including pH, biochemical oxygen demand (BOD), dissolved (DO), nitrate, phosphate), microbiology (specifically coliforms). These comprehensive have notably impacted during pre‐, during, post‐COVID‐19 based Water Quality Index (WQI) assessment in estuaries. In port city Cirebon, located Java Island's northern coast, water quality three river estuaries Kesenden, Sukalila, Kalijaga was analyzed before after CARE implementation. samples collected 2019, 2020, 2022, 2023 were evaluated against Class II standards per Government Regulation No. 22 2021. WQI determined using National Sanitation Foundation (NSF‐WQI) technique revealing fluctuations trends across stations over 2019–2023. at recorded 52.21, 56.40, 53.36, respectively. By began COVID 19, there a noticeable decreasing WQI, Sukalila sustained “Moderate” classification with 54.59, whereas Kesenden witnessed declines values 49.5 49.7, However, peak‐implementation program 2022 saw drastic decline quality, dropping below threshold all observed stations, 23.97 23.10 35.36 Kalijaga. Meanwhile, experienced increasing (remained poor category) index 44.31, 35.14, 42.0 Kalijaga, findings underscore complex interplay between human activities health, highlighting need for sustainable practices robust management policies mitigate adverse effects such disruptions. results from monitoring ocean health pre‐ post‐the implementation era provided unique opportunity reflect behavior its environment, emphasizing importance adopting pro‐environmental behaviors support development post‐pandemic era. Practitioner Points onset an improvement due reduction industrial resulting CARE. anthropogenic industry transportation, which lead DO, coliform because phosphate, turbidity, solid, BOD. 2023, marked Cirebon. period reduced pressure offers valuable insights policymakers develop strategies maintain further improve post‐pandemic.

Language: Английский

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Responses of Soil Enzyme Activity and Microbial Nutrient Limitations to Vegetation Types in a Degraded Karst Trough Valley

Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 279 - 279

Published: Feb. 6, 2025

Soil enzyme activities serve as the key indicators of microbial nutrient limitations. Vegetation types after farmland is returned modify both biological and abiotic properties soil, thereby impacting soil cycle stability forest ecosystems. However, limitations in degraded karst forests under different vegetation return remain unclear. Therefore, this study investigated physicochemical properties, activities, resource (grasslands (G), transitional grass–shrub (SG), shrubland (S), secondary (F)) returning on dip anti-dip slopes a trough valley. The relationships among factors influencing were analyzed to identify drivers limitation. results revealed that significantly greater than slopes. Total nitrogen (27.4%) bulk density (24.4%) influenced mainly activity its stoichiometric ratio, whereas carbon phosphorus impacted microorganisms F G types. characteristics accounted for 85.5% 75.6%, respectively, observed influence. Notably, total content (36.8%) erosion slope was other These factors, especially bedrock strata type, affect activity. This confirms type enhances slopes, providing scientific basis ecosystem restoration.

Language: Английский

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High-Precision Inversion of Urban River Water Quality via Integration of Riparian Spatial Structures and River Spectral Signatures

Water Research, Journal Year: 2025, Volume and Issue: 278, P. 123378 - 123378

Published: Feb. 23, 2025

Language: Английский

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Multi-Scenario Forecasting of Land Use and Ecosystem Service Values in Coastal Regions: A Case Study of the Chaoshan Area, China

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(4), P. 160 - 160

Published: April 7, 2025

Modeling changes in ecosystem service value (ESV) resulting from land use/cover change (LUCC) coastal regions play a crucial role promoting regional sustainability and guiding policymaking. This study focuses on the Chaoshan region of China analyzes impact use 2000, 2010, 2020 ESV. The Patch-generating Land Use Simulation (PLUS) model was used to simulate LUCC for 2030 under three different scenarios: natural development (ND), urban (UD), ecological protection (EP). spatial distribution aggregation degree ESV were assessed explore intrinsic relationship between region. results showed following: (1) cropland area has significantly decreased, with per capita dropping 113.34 m2 (0.028 acres) by 2020. continuous expansion construction been mainly concentrated Shantou, Jieyang, Chaozhou, an increasingly evident trend integration among these cities. By 2030, growth rate EP scenario is expected decline, indicating slowdown expansion. (2) Between 2000 2020, Shantou only city experience decline total Low values are primarily southeastern area. As progresses, this continue decline. (3) ongoing Jieyang may result becoming ecologically vulnerable Close monitoring potential risks ensure balance protection. will provide important guidance policies sustainable region, as well similar cities globally.

Language: Английский

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Integrating DEM and Deep Learning for Forested Terrain Analysis: Enhancing Fire Risk Assessment Through Mountain Peak and Water System Extraction in Chongli District

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 692 - 692

Published: April 16, 2025

Accurate fire risk assessment in forested terrain is crucial for effective disaster management and ecological conservation. This study innovatively proposes a novel framework that integrates Digital Elevation Models (DEMs) with deep learning techniques to enhance Chongli District. Our combines DEM data Faster Regions Convolutional Neural Networks (Faster R-CNN) CNN-based methods, breaking through the limitations of traditional approaches rely on manual feature extraction. It capable automatically identifying critical features, such as mountain peaks water systems, higher accuracy efficiency. DEMs provide high-resolution topographical information, which models leverage accurately identify delineate key geographical features. results show integration significantly improves by offering detailed precise analysis, thereby providing more reliable inputs behavior prediction. The extracted fundamental prediction, enable accurate predictions spread potential impact areas. not only highlights great combining geospatial advanced machine but also offers scalable efficient solution forest mountainous regions. Future work will focus expanding dataset include environmental variables validating model different areas further its robustness applicability.

Language: Английский

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Response of river water quality to landscape features in a subtropical hilly region

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 19, 2025

Landscape features have a profound impact on river water quality. However, its in subtropical hilly region is unclear. Here, quality data from 15 catchments were obtained based typical area, the upper Ganjiang River basin. The landscape catchment and buffer zone calculated, effects investigated using redundancy analysis (RDA) multiple linear regression (MLR) model. Catchment found to better explain overall changes compared zone, more winter than summer. Moreover, within percentage of grassland had greatest (72.8%), while at scale, aggregation index (AI) contributed most (31.6%). Nonparametric change-point (nCPA) was used identify thresholds that lead abrupt It can be improved when > 0.193%, largest patch (LPI) forest 7.48% or impervious surfaces < 2.92%, AI 98.6% scale. This study demonstrated pivotal role enhancing by implementing informed effective planning for conservation implementation.

Language: Английский

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