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1.
Harmful algal blooms (HABs) diminish the utility of reservoirs for drinking water supply, irrigation, recreation, and ecosystem service provision. HABs decrease water quality and are a significant health concern in surface water bodies. Near real-time monitoring of HABs in reservoirs and small water bodies is essential to understand the dynamics of turbidity and HAB formation. This study uses satellite imagery to remotely sense chlorophyll-a concentrations (chl-a), phycocyanin concentrations, and turbidity in two reservoirs, the Grand Lake O′ the Cherokees and Hudson Reservoir, OK, USA, to develop a tool for near real-time monitoring of HABs. Landsat-8 and Sentinel-2 imagery from 2013 to 2017 and from 2015 to 2020 were used to train and test three different models that include multiple regression, support vector regression (SVR), and random forest regression (RFR). Performance was assessed by comparing the three models to estimate chl-a, phycocyanin, and turbidity. The results showed that RFR achieved the best performance, with R2 values of 0.75, 0.82, and 0.79 for chl-a, turbidity, and phycocyanin, while multiple regression had R2 values of 0.29, 0.51, and 0.46 and SVR had R2 values of 0.58, 0.62, and 0.61 on the testing datasets, respectively. This paper examines the potential of the developed open-source satellite remote sensing tool for monitoring reservoirs in Oklahoma to assess spatial and temporal variations in surface water quality.  相似文献   
2.
● B[a]P, nicotine and phenanthrene molecules altered the secondary structure of Aβ42. ● β-content of the peptide was significantly enhanced in the presence of the PAHs. ● Nicotine made stable cluster with Aβ42 peptide via hydrogen bonds. ● Phenanthrene due to its small size, interfered with the Aβ42 monomer more strongly. Recent studies have correlated the chronic impact of ambient environmental pollutants like polycyclic aromatic hydrocarbons (PAHs) with the progression of neurodegenerative disorders, either by using statistical data from various cities, or via tracking biomarkers during in-vivo experiments. Among different neurodegenerative disorders, PAHs are known to cause increased risk for Alzheimer’s disease, related to the development of amyloid beta (Aβ) peptide oligomers. However, the complex molecular interactions between peptide monomers and organic pollutants remains obscured. In this work, we performed an atomistic molecular dynamics study via GROMACS to investigate the structure of Aβ42 peptide monomer in the presence of benzo[a]pyrene, nicotine, and phenanthrene. Interestingly the results revealed strong hydrophobic, and hydrogen-bond based interactions between Aβ peptides and these environmental pollutants that resulted in the formation of stable intermolecular clusters. The strong interactions affected the secondary structure of the Aβ42 peptide in the presence of the organic pollutants, with almost 50 % decrease in the α-helix and 2 %–10 % increase in the β-sheets of the peptide. Overall, the undergoing changes in the secondary structure of the peptide monomer in the presence of the pollutants under the study indicates an enhanced formation of Aβ peptide oligomers, and consequent progression of Alzheimer’s disease.  相似文献   
3.
Deep learning (DL) models are increasingly used to make accurate hindcasts of management-relevant variables, but they are less commonly used in forecasting applications. Data assimilation (DA) can be used for forecasts to leverage real-time observations, where the difference between model predictions and observations today is used to adjust the model to make better predictions tomorrow. In this use case, we developed a process-guided DL and DA approach to make 7-day probabilistic forecasts of daily maximum water temperature in the Delaware River Basin in support of water management decisions. Our modeling system produced forecasts of daily maximum water temperature with an average root mean squared error (RMSE) from 1.1 to 1.4°C for 1-day-ahead and 1.4 to 1.9°C for 7-day-ahead forecasts across all sites. The DA algorithm marginally improved forecast performance when compared with forecasts produced using the process-guided DL model alone (0%–14% lower RMSE with the DA algorithm). Across all sites and lead times, 65%–82% of observations were within 90% forecast confidence intervals, which allowed managers to anticipate probability of exceedances of ecologically relevant thresholds and aid in decisions about releasing reservoir water downstream. The flexibility of DL models shows promise for forecasting other important environmental variables and aid in decision-making.  相似文献   
4.
为探明固原市农田土壤中微塑料分布特征,通过现场采集调查、显微镜观察和傅里叶变换红外光谱等方法分析了固原市农田土壤中微塑料的丰度、类型、颜色、大小和外形等特征,用污染负荷指数法(PLI)评估了微塑料污染风险.结果表明,固原市农田土壤(耕作层)微塑料丰度为186.32~1286.24 n ·kg-1,设施农业土壤微塑料丰度分别较非设施农业有膜和无膜种植土壤显著增加35.56%和228.91%,耕作层微塑料丰度是犁底层的0.31倍.PE (26.42%~62.83%)和PP (27.64%~42.62%)为主要的微塑料类型,设施农业土壤微塑料种类数显著大于非设施农业.<100 μm微塑料占32.21%~42.52%,而>1000 μm只占0.28%~12.31%,耕作层微塑料粒径比犁底层高47.39%,设施农业土壤微塑料粒径最大,非设施无膜种植最小.微塑料形状主要为薄膜、纤维、碎片和微珠,其中纤维状丰度最大,薄膜状次之.共检测出7种颜色的微塑料,以白色和黑色为主.研究区污染风险总体为低风险,设施农业土壤微塑料污染风险最高.研究结果将为我国农田土壤微塑料污染评估及微塑料土壤环境行为提供数据参考.  相似文献   
5.
水质是岩溶区可持续发展中最重要的环境问题之一.为探讨铅锌矿周边岩溶流域重金属污染及健康风险,采集了思的河岩溶流域河水和地下水样品18组,测定了9种重金属的浓度(Cu、Pb、Zn、Cd、Mn、Fe、As、Cr和Sr),采用了主成分分析、相关分析、水质指数、内梅罗综合污染指数、危害商和危害指数进行分析.结果表明,思的河水呈微碱性,河水中Cu、Pb、Zn、Cd、Mn、Fe、As和Sr浓度距离尾矿库越远其浓度越低.主成分分析和相关分析表明,思的河岩溶流域的重金属主要来自矿山废水的排放(55.42%)、碳酸岩风化溶解(21.41%)和人类活动(14.72%).河水中82%的样品为优质水,地下水样均为优质水,河水中内梅罗综合污染指数为4.12,属于强污染级,所有危害指数均在1以下.Pb、Zn、As、Cd和Cr是思的河岩溶流域内有潜在威胁的金属.重金属进入岩溶管道后浓度发生了明显变化,表明岩溶含水层特有性质影响着重金属浓度的空间变化.研究结果可为思的河流域和类似岩溶水流域的水资源污染防治和人类健康保护提供数据参考.  相似文献   
6.
This study investigated the water quality variation spanning 30 years (1986–2017) in 16 catchments of Hong Kong against different urbanization indices, namely, built area fraction; population; and product of population and built area fraction. Pearson correlations of three different periods of time (1988–1990, 1998–2000, and 2015–2017) indicated that water quality trends were dependent on the urbanization index. Total solids, nitrite-nitrogen, total phosphorus, electrical conductivity, dissolved oxygen, and flow rate had significant deteriorative trends (Pearson r > 0.5 and p < 0.05) with population and product of built area and population. Results also interpreted that built area fraction and product of built area and population were the worst and best indices that represented urbanization and/or its impacts, respectively. Mann-Kendall test for the entire 30 year period showed that water quality had improved with time with respect to certain water quality parameters (e.g., dissolved oxygen, ammoniacal nitrogen and total suspended solids). The results portrayed that although the urbanization of catchments had increased with time, the river water quality with respect to many parameters showed signs of improvement and the legislative measures implemented seemed to be effective in controlling pollution.  相似文献   
7.
利用卡尔费休法可直接测定PM2.5水分含量,方法精密度及准确度均较好.将该方法应用于北京市城区站点2020年全年的PM2.5分析,结果显示PM2.5水分浓度年均值为(5.0±4.1)µg/m3,在PM2.5占比为(12.5±4.8)%,与PM2.5质量浓度呈显著相关.水分质量浓度与PM2.5的质量浓度月度及季节变化趋势基本一致.研究发现,随着空气污染加重,水分质量浓度及其在PM2.5占比均呈上升趋势,二者相关性明显增强.可见污染发生时,水分增加有利于颗粒物吸湿增长从而推高污染水平,对PM2.5的贡献同步增强.当沙尘污染发生时湿度处于同期较低水平,不利于细颗粒物的吸湿增长,水分质量浓度及其占比均处于较低水平. PM2.5水分与二次离子及有机物均有很好的相关性,说明水分为气态污染物提供非均相转化载体,促进硝酸盐、硫酸盐、有机物的进一步生成.PM2.5水分与地壳物质无相关性,证实地壳元素为一次源,不受水分影响.  相似文献   
8.
研究基于郑州与福州两地区GNIP(1985—1992年)大气降水同位素资料,对其大气降水同位素的季节变化以及环境因子进行比较分析。结果表明,郑州地区较福州地区季节变化明显,且两地区与温度和降水量均呈现负相关关系;根据两地区大气降水线方程得出,福州地区大气降水线方程斜率和截距大于郑州地区;两地区的d-excess值夏季高,冬季低;福州地区受台风影响,两地区降水量差别较大导致降水量在决定两地区月加权平均d-excess值时,福州地区整体比郑州地区偏大;采用MeteoInfo软件,并利用由美国国家大气研究中心所提供的气象资料,对两地区气团轨迹进行后向模拟,比较分析得出:郑州地区在夏季大部分水汽来自南海,春季、秋季和冬季的水汽均来自北方大陆;福州地区在夏季的水汽全部水汽来自低纬度的海洋,而春季、秋季和冬季的水汽仅有少部份来自北方大陆。  相似文献   
9.
Despite long-standing knowledge of the benefits of riparian buffers for mitigating nonpoint source pollution, many streams are unprotected by buffers. Even landowners who understand ecological values of buffers mow riparian vegetation to the streambank. Do trends in rural riparian conditions reflect the development of riparian forest science? What motivates residential riparian management actions? Using high-resolution orthoimagery, we quantified riparian conditions and trends between 1998 and 2015 in the rural upper Little Tennessee River basin in Macon County, North Carolina and explored how landowners view riparian zone management and riparian restoration programs. Buffer composition in 2015 was as follows: no buffer (32.5%), narrow (19.3%), forested (26.7%), shrub (7.2%), and intermediate (7.0%). Relative to 1998, the greatest decrease occurred in the no buffer class (−17.7%, 46 km) and the largest increases occurred in the shrub (+72.5%, 20 km) and narrow (12.6%, 14 km) classes. Forested buffer marginally increased. Semi-structured interview data suggest that landowners prioritize recreational and scenic aspects of riparian buffers over ecological functions such as filtration and bank stabilization. Riparian restoration programs might be made more enticing to non-adopters if outreach language appealed to landowner priorities, design elements demonstrated intentional management, and program managers highlighted areas where ecological goals and landowner values align.  相似文献   
10.
刘钰  曾妍妍  周金龙  闫志雲  白凡 《环境科学》2023,44(12):6778-6789
开展地下水污染风险评价研究是地下水污染防控的重要环节.以巴里坤-伊吾盆地平原区地下水为研究对象,构建DRSTIW模型进行地下水脆弱性评价;根据污染场地调查资料和土地利用类型划分点源和面源污染,进行地下水污染荷载评价;考虑地下水的原生价值、经济价值和生态价值进行地下水功能价值评价;利用ArcGIS的地图代数功能生成地下水污染风险评价图,采用ROC曲线验证地下水污染风险评价结果,通过计算G指数得到地下水污染风险空间冷热点分布,结合重心和标准差椭圆对热点变动情况进行定量分析.结果表明,研究区地下水污染风险整体较低,高污染风险区和较高污染风险区仅占研究区总面积的6.8%,主要位于伊吾县的淖毛湖镇、盐池镇,巴里坤县的奎苏镇、石人子乡、花园乡和兵团红山农场,该区域内地下水埋深较浅,土壤表层和包气带介质透水性能较强,吸附能力较差,加之污染源分布较集中,使得污染物易于迁移富集,在地下水高脆弱性和高污染荷载的双重作用下导致局部区域地下水污染风险升高.受人类活动影响,地下水污染风险在空间上存在一定的集聚现象,整体表现为由西北向东南演变的趋势.地下水污染风险评价结果为划分地下水污染防治区提供重要参考.  相似文献   
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