ENVIRONMENTAL MONITORING AND ASSESSMENT环境监测与评估
ENVIRONMENTAL MONITORING AND ASSESSMENT(英文缩写 ENVIRON MONIT ASSESS),ISSN 0167-6369,eISSN 1573-2959,中文译名:环境监测与评估 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 3.307 | Q3 |
| 2022 | 3.000 | Q3 |
| 2023 | 2.900 | Q3 |
| 2024 | 3.000 | Q3 |
| 2025 | 3.600 | Q3 |
ENVIRONMENTAL MONITORING AND ASSESSMENT 最新收录文献
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1. {"_":"Spatiotemporal characteristics of ozone and PM pollution in Jilin City: insights from observations in 2020 and 2023.","sub":["2.5"]}
1. {"_":"吉林市臭氧和PM污染时空特征：基于2020年和2023年观测的见解","sub":["PMID:日期:2026-10-02Ground-level ozone (O) and fine particulate matter (PM) remain central air quality challenges in China. Still, most evidence comes from national, regional, or megacity-scale studies, leaving medium-sized industrial cities in Northeast China poorly resolved. In Jilin City, where petrochemical, transport, and energy-related emissions interact with complex terrain and warm season meteorology, the coupled behavior of O and PM requires clearer diagnosis. This study aimed to quantify the spatiotemporal variability, meteorological sensitivity, and first-order attribution of warm season O and PM during the COVID-19 low-emission baseline and post-pandemic recovery period. We hypothesized that O and PM would respond through decoupled mechanisms-with O showing stronger meteorological sensitivity, while PM was only weakly explained by the selected meteorological predictors-a pattern that is statistically consistent with, but not directly attributable to, emission changes, given the study design. Using 3-km WRF-CMAQ simulations, surface observations, correlation analysis, multiple linear regression, and meteorological normalization, we compared May-July pollution patterns between 2020 and 2023. Model evaluation showed acceptable performance for meteorological variables and PM but systematic underestimation of O, indicating uncertainty in the absolute magnitude of simulated O. Observed O increased in May and June but declined slightly in July, with persistent hotspots in Panshi, whereas PM increased in May, changed little in June, and declined markedly in July, while remaining relatively elevated in Huadian, Chuanying, and Jiaohe. District-level anomaly and decomposition analyses further indicated a uniform increase in May O, heterogeneous June responses, and clearer pollutant-specific response patterns across urban and periurban districts. Meteorological predictors explained approximately 35% of O variability, dominated by temperature, but < 1% of PM variability; therefore, PM driver interpretation should be treated qualitatively. Normalization suggested a meteorologically associated May O enhancement and an unexplained residual June O enhancement, highlighting O-PM decoupling; however, because both meteorology and emissions changed simultaneously between the two simulation years, these signals reflect associations rather than controlled causal attribution.
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2. Integrated assessment of road and maritime traffic impacts on urban air quality and noise in a port-city environment.
2. 道路和海上交通对港口城市环境中城市空气质量和噪声影响的综合评估PMID:日期:2026-10-02Urban environments, particularly port cities, are exposed to overlapping environmental pressures from road and maritime transport. This study evaluates air quality and noise across ten monitoring locations in Split (Croatia), using short-duration field measurements collected between April and September 2024. A total of 154 port and 66 road observations were analysed for PM, PM, CO, and traffic intensity, while environmental noise was additionally measured only in the road corridor and supported by meteorological variables used for interpretation of results. Mean PM and PM concentrations were higher in the port area (14.77 and 18.25 µg/m) than in the road corridor (11.64 and 14.70 µg/m), while mean CO was higher in the road corridor (5.20 versus 2.91 ppm). However, sampling-occasion comparisons were not statistically significant (p = 0.218, 0.227, and 0.505, respectively). Vessel count showed a statistically significant but weak association with PM₁₀ (R = 0.082, p < 0.001), while vehicle count was moderately associated with maximum road-noise levels (R = 0.236, p < 0.001). In cluster-robust multivariable models, vessel count remained positively associated with port PM and PM (p < 0.001), while higher wind speed was associated with lower particulate concentrations. The estimated coarse particle fraction was similar between environments. The results indicate overlapping rather than uniquely attributable transport-source effects and demonstrate the potential utility of low-cost sensors for comparative, screening-level environmental monitoring in port-city environments.
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3. Phosphorus fractions and sorption-release characteristics of Huixian Karst Wetland soils under different land uses.
3. 不同土地利用方式下会仙岩溶湿地土壤的磷形态及吸附-释放特征PMID:日期:2026-10-02Phosphorus (P) is a key limiting factor in the eutrophication of water bodies. However, the regulatory mechanisms by which the unique high-Ca/HCO hydrochemical conditions in karst regions influence soil-sediment P adsorption-release behavior remain poorly understood. In this study, soils from five land use types and lake margin sediments (SED) in the Huixian Karst Wetland, Guangxi, China, were analyzed through sequential P fractionation, adsorption kinetics experiments, and long-term overlying water-sediment incubation to elucidate the effects of karst hydrochemistry on P adsorption and release dynamics. The results showed that: (1) Total P ranged from 301.97 to 1119.33 mg·kg across soil types, with inorganic P dominating and iron-bound phosphorus (Fe-P) accounting for 27-54%, indicating a high potential for P release. Land use regulates key soil properties (total organic matter (OM), total calcium, and exchangeable Ca/Mg), thereby controlling P mobility. (2) P adsorption in karst paddy soil (PS) followed pseudo-second-order kinetics, indicating that chemical adsorption was the dominant mechanism. In contrast, non-karst grassland soil (GS) reached equilibrium within 10 min with a higher maximum adsorption capacity. Ca linearly promoted PS adsorption (R = 0.823), whereas high HCO concentrations suppressed it, and GS showed negligible sensitivity to both ions. (3) Overlying water P concentrations followed a rise-then-decline pattern, with the release capacity ranked as Sediment > PS > Ditch soil (DS) > GS. Elevated Ca and HCO concentrations inhibited P release from SED but promoted it from PS. A sharp Fe-P decline during days 50-100 corresponded to elevated summer temperatures (26 ~ 33℃), accelerating internal P loading. These findings clarify that Ca and HCO concentrations exert substrate-dependent controls on P cycling in karst wetlands: elevated Ca and HCO suppress P release from lake SED while promoting it from PS, with temperature further modulating Fe-P dynamics and internal loading. These results provide a theoretical basis for source-specific management of eutrophication in karst regions.
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4. Seasonal rainfall shifts, localized nutrient enrichment, and low bottom oxygen in Batan Bay, Philippines.
4. 菲律宾巴丹湾的季节性降雨变化、局部营养富集和底部低氧现象PMID:日期:2026-10-02Batan Bay supports shellfish production and has recorded toxin-positive harmful algal blooms whose drivers remain poorly understood, and its rainfall, nutrient, and oxygen conditions have not been characterized together. We combined 2003-2023 rainfall and sea-surface temperature records with surface nutrients and water quality from 51 stations on 14-15 September 2023 and depth-resolved oxygen profiles on 24-29 September 2024. Compared with 2003-2012, the later decade received about 100 mm less May and 70-80 mm less July rainfall, and gained about 3 June wet days per month, with no resolved change in annual total. Entrance temperature rose by 0.036 C per year, with 60 marine heatwaves. A rank-based index placed 11 of 51 stations in its upper fifth; three stations 9.7-12.1 km from the inlet were simultaneously enriched in ammonium, oxidized nitrogen, phosphate, and silicate, so enrichment was localized rather than a single landward gradient. Surface salinity fell away from the inlet while temperature, chlorophyll-a, and turbidity rose, and oxygen was lower where turbidity was higher. Within individual casts, oxygen declined from the upper to the lower third of the water column on both tides: median station means fell from 5.88 to 4.57 mg L at 22 flood stations and 6.63 to 5.88 mg L at 42 ebb stations. Bottom-third means were below 5 mg L at 17 of 22 flood and 12 of 42 ebb stations. The rainfall shift, and the sustained inlet warming could widen the window for future harmful algal blooms.
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5. Heavy metal contamination in wastewater-irrigated leafy vegetables: implications for food safety.
5. 污水灌溉叶菜类蔬菜中的重金属污染：对食品安全的影响PMID:日期:2026-10-01The limited availability of fresh water sources across many developing countries necessitates the intake of wastewater as an alternative option for irrigation, raising worries about heavy metal contamination. The present study evaluated the accumulation of chromium (Cr), lead (Pb), cadmium (Cd), copper (Cu), and nickel (Ni) in easily available and highly consumed leafy vegetables (fenugreek, spinach, and mustard) irrigated with industrial effluents (post-primary, secondary, and tertiary treatments), drain water, and groundwater in a controlled pot experiment. The concentrations of Cr, Pb, Cd, and Cu in all irrigation water sources remained within the permissible limits, whereas Ni exceeded the recommended limit in drain water. Heavy metal concentrations in soils were within safety thresholds; the concentration of Cr (5-20 mg/kg), Pb (2.5-12.5 mg/kg), and Cd (0.5-1.5 mg/kg) levels in vegetables occasionally surpassed FAO/WHO limits (Codex Alimentarius Commission, 1984), WHO, 2007), indicating potential health risks. The bioconcentration factor (BCF) indicated notable uptake of Pb and Cu (exceeding the limit of 1) in spinach. Furthermore, the daily intake of metals was higher in children than adults, with the highest intake of Ni (0.04 mg/kg in children and 0.03 mg/kg in adults) and Cu (0.015 mg/kg in children; 0.013 mg/kg in adults) in spinach. The hazard index (HI) for Ni in spinach and for Pb in mustard and fenugreek indicated a heightened risk of non-carcinogenic health effects. The novelty of the study lies in its comparative evaluation of primary, secondary and tertiary-treated wastewater, drain water, and groundwater for vegetable cultivation under controlled pot conditions. The study highlights the health implications associated with heavy metal accumulation.
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6. Trace-metal contamination and ecological risk assessment in surface sediments of Adabiya Port, Gulf of Suez: spatial distribution, source apportionment, and baseline characterization.
PMID:日期:2026-10-01Adabiya Port is a strategically important maritime and industrial facility in the northern Gulf of Suez, supporting intensive shipping, cargo handling, and shipyard operations. This study provides the first baseline characterization of trace-metal contamination in its surface sediments. Twenty-four sediment samples (upper 10 cm) were collected in a single campaign and analyzed for eight potentially toxic elements (PTEs: Fe, Mn, Zn, Cu, Ni, Pb, Cd, Co) together with grain size, total organic matter (TOM), and CaCO. Contamination indices (CF, I, EF), the potential ecological risk index (PERI), and multivariate tools (PCA, hierarchical clustering, and APCS-MLR receptor modelling) were combined to distinguish anthropogenic from geogenic signatures. Spatial heterogeneity was pronounced, with hotspots in the northern and central sectors. Zn, Pb, and Cd were elevated above shale background (up to 10.2×, 9.0×, and 11.7×, respectively), whereas lithogenic elements (Fe, Mn, Ni, Co) remained near background. Cd was the priority element, showing significant enrichment (EF up to 10.9) and the highest individual risk (E > 80 at 14 stations; E > 320 at one station). The PLI exceeded unity at 75% of stations, while PERI indicated low risk at 75%, moderate at 17%, and high at 8% of stations. APCS-MLR apportioned 56-77% of Zn, Pb, and Cd to an anthropogenic source and 75-85% of Fe, Mn, Ni, and Co to a lithogenic source, indicating that maritime activities and industrial effluents are the principal drivers. These data establish an essential baseline for monitoring and management in the Gulf of Suez.
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7. Trace metal elements accumulation in roadside ecosystems using Fraxinus excelsior L. as a bioindicator species.
7. 以欧洲白蜡树（Fraxinus excelsior L.）作为生物指示物种，研究路旁生态系统中痕量金属元素的积累PMID:日期:2026-10-01Air pollution from road traffic is a major source of trace metal elements (TMEs) in urban areas worldwide, affecting both developing and developed countries. This study investigated Cd, Cu, Cr, Pb and Zn in surface soils, leaves and bark of Fraxinus excelsior L. along roadsides in Constantine city (NE Algeria), to assess the potential of this species as a biomonitor of metallic pollution. Samples were collected from 20 distinct traffic-exposed sites along the national road N°05 and compared with 3 control sites located in the Chettaba forest. The studied soils exhibited significant TME enrichment, with Pb and Cd concentrations exceeding background values in 70% and 55% of the studied sites, respectively. The bio-concentration factor (BCF) values indicated that bark accumulates more TMEs than leaves, with mean values following Cu > Cd > Zn > Cr > Pb for leaves, and Cd > Cu > Pb > Zn ≈ Cr for bark. The comprehensive bio-concentration index (CBCI) ranged from 0.03 to 0.72 for leaves and 0.06 to 0.74 for bark. The metal accumulation index (MAI) confirmed these findings, with sub-indices ranking Cr > Zn > Cu > Pb ≈ Cd for leaves, and Cu > Zn > Cd > Cr > Pb for bark. Bark showed higher MAI values than leaves (bark/leaf ratio of 1.61), except for Pb, which accumulated more in the leaves. The results of this research demonstrate that F. excelsior exhibits strong TMEs accumulation, particularly in bark, making it a promising species for biomonitoring, phytoremediation, and use as a biological barrier in urban roadside environments.
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8. Projected climate change could expand the geographical suitability of Acacia dealbata into new temperate areas.
8. 预计的气候变化可能会将银荆的适宜地理范围扩展到新的温带地区PMID:日期:2026-09-29Acacia dealbata (Link) is enlisted as an invasive alien species in several regions where it was introduced. The invasiveness of the species relies on its resilience to disturbances such as bushfires or water depletion, humans favouring their introduction, or their ability for nitrification of soils. Understanding the potential spread of the species and their climatic niche is of great interest given their ease to invade new environments. In this research, we aimed to predict the potential distribution of A. dealbata in Quercus robur L. forests. Maximum entropy models were developed to simulate the past, present, and future climatic niche suitability for A. dealbata and Q. robur. The potential distributions of the species in several periods of study were compared through Schoener's and Hellinger's indices, and climatic profiles were developed as result of variable contributions and response curves. The models performed with great accuracy. The variables accounting the most for the distribution of the species were related to temperature. The main hotspot of niche overlap between Q. robur and Acacia dealbata was Europe. Our results showed that even if both species share an important extent of area worldwide, their suitable climatic niches do not completely overlap.
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9. Spatial structure and multiscale environmental associations of arsenic in karst agricultural soils of Zhijin County, southwestern China.
PMID:日期:2026-09-29Soil arsenic (As) patterns in karst landscapes reflect geological, topographic, hydrological, and anthropogenic conditions, but spatial explanatory power must be distinguished from predictive contribution and causality. We analyzed agricultural topsoil from 144 sampling sites in Zhijin County, southwestern China, using descriptive statistics, Yeo-Johnson transformation, semivariograms, ordinary kriging, Geodetector, an extreme gradient boosting regressor (XGBRegressor), SHapley Additive exPlanations (SHAP), and sample-level SHAP maps. Soil As concentrations ranged from 1.79 mg kg⁻ to values exceeding 40 mg kg⁻, with a mean of 17.7 mg kg⁻. The transformation reduced skewness, although normality remained rejected (p = 0.003). The exponential semivariogram provided the best fit (R = 0.820), with a nugget-to-sill ratio of 0.627 and a range of 37.02 km. Back-transformed kriging indicated relatively high values mainly in northern, northeastern, and central-eastern areas. Hg, soil organic carbon, distance to mining sites, elevation, distance to rivers, and lithology had nominal Geodetector p ≤ 0.003; Hg had the largest q statistic (0.4241), and the Hg-lithology interaction had the largest joint q (0.5030). Among five candidate regressors, XGBRegressor achieved the highest pooled out-of-fold R (0.4197) and the lowest root mean square error (6.7793 mg kg⁻) and mean absolute error (4.5831 mg kg⁻). SHAP ranked Hg, elevation, and lithology highest; Hg and elevation remained among the top three across all five folds. Sample-level maps showed heterogeneous signed contributions. Predictive performance was moderate, and spatial transferability remains unverified. These results support targeted verification and zoned monitoring without implying causal attribution.
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10. Integrating morphometric and climatic variables into the mapping of land use and vegetation cover in the Caatinga biome.
10. 将形态计量学和气候变量整合到卡廷加生物群落的土地利用和植被覆盖制图中PMID:日期:2026-09-29Recent landscape transformations resulting from the replacement of natural areas with anthropogenic uses have had an impact on the semi-arid region of Brazil. The objective of the research was to evaluate a land use and land cover classification model in the Caatinga biome, using machine learning techniques integrated with multiple environmental and climatic covariates. The area was segmented into six subunits, based on a combination of hydrographic regions and geomorphological domains. The random forest algorithm on the Google Earth Engine platform was used to process the supervised classification, considering predictor variables, including spectral bands and indices, tasseled cap transformation, image fractions, surface temperature, precipitation, morphometric variables, and geographic location. The results indicated that geomorphological compartmentalization increased separability between land use classes and bare soil. The model achieved an average global accuracy of 0.83 and a kappa index of 0.80. The forest vegetation and rivers, lakes, and ocean classes showed high precision, while salt marshes and herbaceous restinga indicated inconsistencies. The most relevant variables were spatial position, altitude, and climatic conditions. In this perspective, incorporating this set of elements into the machine-learning classifier proved to be an innovative and scientifically relevant approach.