不同降水下覆盖与缓释肥减量对油菜土壤微生物群落结构的影响

为探讨沟垄集雨、秸秆覆盖和减量缓释肥集成技术对油菜土壤微生物群落结构的影响,在大田定位试验条件下,设置3种栽培方式（秸秆覆盖、沟垄集雨、传统平作）和4种施肥水平（习惯施肥、缓释肥减量20%、缓释肥减量40%、不施肥）,比较分析2016~2017年（多雨年份）和2017~2018年（季节性干旱年份）这2种不同降水年型下油菜土壤微生物群落结构对集成技术的响应.结果表明,不同降雨条件下,秸秆覆盖+缓释肥减量20%（J80）与沟垄覆盖+缓释肥减量20%（M80）较习惯栽培（PC）更利于土壤微生物生长.在多雨年型和季节性干旱年型下,J80与M80能平均分别提高微生物量碳9.94%和10.32%;提高土壤微生物量氮2.38%和1.19%.多雨年型下,土壤微生物磷酸脂肪酸（PLFA）总量较干旱年型降低30.75%,覆盖能有效提高土壤PLFA质量摩尔浓度.多雨年型下土壤细菌、真菌PLFA质量摩尔浓度较干旱年型平均减少33.67%和53.21%;而放线菌PLFA增加13.04%.微生物群落对异常降水具有敏感响应.多雨气候会造成细菌/真菌升高;干旱气候则会增加直链饱和脂肪酸/直链单不饱和脂肪酸及直链单不饱和脂肪酸/环丙烷脂肪酸.通过秸秆覆盖与缓释肥的集成技术,能稳定异常降水下的土壤微环境,缓解水分和养分胁迫,为油菜稳产和可持续发展提供有效途径.     

Investigation of oxidative stress enzymes and histological alterations in tilapia exposed to chlorpyrifos

Environmental Science and Pollution Research - Chlorpyrifos (ChF) is an organophosphate pesticide that is widely used in agricultural fields and indoor for controlling pests. Aquatic ecosystems are...     

Influence of coal ash on the concrete properties and its performance under sulphate and chloride conditions

Environmental Science and Pollution Research - This study investigated the influence of coal bottom ash (CBA) on the concrete properties and evaluate the effects of combined exposure of sulphate...     

Decarbonization of Vietnam’s economy: decomposing the drivers for a low-carbon growth

Environmental Science and Pollution Research - Vietnam has witnessed a rapid increase in national-level CO2 emissions due to rising urbanization, economic expansion, export growth, and industrial...     

Regional disparities in Preventive measures of COVID-19 pandemic in China. A study from international students’ prior knowledge,perception and vulnerabilities

Environmental Science and Pollution Research - The COVID-19 pandemic needs immediate solution before inflicting more devastation. So far, China has successfully controlled transmission of COVID-19...     

Ultrasensitive and selective 4-aminophenol chemical sensor development based on nickel oxide nanoparticles decorated carbon nanotube nanocomposites for green environment

Nickel oxide nanoparticles decorated carbon nanotube nanocomposites(Ni O·CNT NCs)were prepared in a basic medium by using facile wet-chemical routes. The optical,morphological, and structural properties of Ni O·CNT NCs were characterized using Fourier transformed infra-red(FT-IR), Ultra-violet visible(UV/Vis) spectroscopy, field-emission scanning electron microscopy(FESEM), X-ray energy dispersed spectroscopy(XEDS), X-ray photoelectron spectroscopy(XPS), and powder X-ray diffraction(XRD) methods. Selective4-aminophenol(4-AP) chemical sensor was developed by a flat glassy carbon electrode(GCE, surface area: 0.0316 cm~2) fabricated with a thin-layer of NCs. Electrochemical responses including higher sensitivity, large dynamic range(LDR), limit of detection(LOD), and long-term stability towards 4-AP were obtained using the fabricated chemical sensors. The calibration curve was found linear(R~2= 0.914) over a wide range of 4-AP concentration(0.1 nmol/L–0.1 mol/L). In perspective of slope(2 × 10~(-5)μA/μM), LOD and sensitivity were calculated as 15.0 ± 0.1 pM and ~ 6.33 × 10~(-4)μA/(μM·cm) respectively. The synthesized Ni O·CNT NCs using a wet-chemical method is a significant route for the development of ultrasensitive and selective phenolic sensor based on nano-materials for environmental toxic substances. It is suggested that a pioneer and selective development of 4-AP sensitive sensor using Ni O·CNT NCs by a facile and reliable current vs voltage(I–V)method for the major application of toxic agents in biological, green environmental, and health-care fields in near future.     

Composite use of numerical groundwater flow modeling and geoinformatics techniques for monitoring Indus Basin aquifer, Pakistan

The integration of the Geographic Information System (GIS) with groundwater modeling and satellite remote sensing capabilities has provided an efficient way of analyzing and monitoring groundwater behavior and its associated land conditions. A 3-dimensional finite element model (Feflow) has been used for regional groundwater flow modeling of Upper Chaj Doab in Indus Basin, Pakistan. The approach of using GIS techniques that partially fulfill the data requirements and define the parameters of existing hydrologic models was adopted. The numerical groundwater flow model is developed to configure the groundwater equipotential surface, hydraulic head gradient, and estimation of the groundwater budget of the aquifer. GIS is used for spatial database development, integration with a remote sensing, and numerical groundwater flow modeling capabilities. The thematic layers of soils, land use, hydrology, infrastructure, and climate were developed using GIS. The Arcview GIS software is used as additive tool to develop supportive data for numerical groundwater flow modeling and integration and presentation of image processing and modeling results. The groundwater flow model was calibrated to simulate future changes in piezometric heads from the period 2006 to 2020. Different scenarios were developed to study the impact of extreme climatic conditions (drought/flood) and variable groundwater abstraction on the regional groundwater system. The model results indicated a significant response in watertable due to external influential factors. The developed model provides an effective tool for evaluating better management options for monitoring future groundwater development in the study area.     

Identifying impact of international trade and renewable energy consumption on environmental quality improvement and their role in global warming

There is a lack of proper research that highlights the impact of institutional quality (IQ) and renewable energy consumption (REC) on the carbon emission (CE). The significance of IQ and REC in the achievement of zero CE is highlighted in this research. The current research reports the effects of these important factors on the consumption-based carbon emissions in the G-7 countries from 1995 to 2018. Based on the outcome of the cointegration test, the long-run connection is recognized between IQ, REC, GDP, exports, imports, and consumption-based CE. The findings also validated that there exist significant decrease and increase in the CE in both the short and long run; for instance, IQ, REC, and exports decrease the CE, while imports and GDP increase the CE. The estimates of causality test showed that policies aimed at improving IQ, REC, GDP, exports, and imports have a significant impact on the CE. Consequently, based on these results, policymakers in the G-7 must prioritize IQ and REC to enhance environmental quality and attain carbon neutrality.