The land carrying capacity and environmental risk assessment of livestock and poultry breeding considering crop planting

Environmental Science and Pollution Research - At present, the contradiction between survival and ecology necessitates the integration of crop planting, chemical fertilizer application, and...     

同步辐射光谱技术在有机固废污染控制与资源化研究中的应用

有机固废中碳、磷、硫及重金属等元素赋存形态是决定其环境行为、反应活性及资源化再利用的关键因素.同步辐射光谱技术可以在分子水平、微纳米尺度原位表征有机固废中碳、磷、硫、重金属等元素赋存形态、结合位点、微观结构,为深入阐明有机固废环境行为、反应机制提供直接的证据.概述了X射线吸收光谱、微束X射线荧光光谱等同步辐射光谱技术在有机固废污染控制与资源化研究的中应用进展,并对同步辐射光谱技术在该领域应用前景和发展趋势进行了展望,以期为有机固废资源化再利用及其污染控制等研究提供参考.     

Lithium extraction from salt lake brines with high magnesium/lithium ratio: a review

Environmental Chemistry Letters - The demand for lithium is growing rapidly with the increase in electric vehicles, batteries and electronic equipments. Lithium can be extracted from brines, yet...     

长三角地区跨区域合作创新对区域多样化的影响研究

区域多样化发展在提高生产力、促进就业以及稳定经济等方面发挥着重要作用.一直以来演化经济地理学框架下区域多样化发展中外部资源的作用被忽略,而跨区域合作创新是区域获取外部知识的重要途径之一.研究使用2000～2017年长三角地区41个城市的发明专利数据,对区域经济一体化特征显著的长三角地区多样化水平与合作创新进行测度,并实证检验区域内部与跨区域的合作创新在区域多样化进程中所发挥的作用.结果表明:(1)长三角地区各城市的相关与不相关多样化水平总体呈现逐渐上升并趋于稳定的趋势;(2)合作创新作为知识流动的重要载体,合作参与者大多位于长三角内,合作创新所产生的知识溢出往往发生在具有技术关联性的产业间,从而有助于促进长三角地区发展相关多样化,但对不相关多样化没有表现出显著影响;(3)合作创新中参与团队数量与区域相关与不相关多样性没有显著关系;(4)合作创新中跨区域合作比例越高,越能够促进区域相关与不相关多样化的发展.因此,在推动区域产业多样化的过程中应注重强化区域间的合作,借助外部力量引导区域产业发展.     

Study on coupling between mineral resources exploitation and the mining ecological environment in Shanxi Province

Environment, Development and Sustainability - Due to rapid socioeconomic development, seeking the coordination of resources exploitation and the ecological environment has become an objective...     

Temporal trends in agricultural water use and the relationships to hydroclimatic factors in the High Plains aquifer region

The High Plains aquifer (HPA) is the primary water source for agricultural irrigation in the US Great Plains. The water levels in many locations of the aquifer have declined steadily over the past several decades because the rate of water withdrawals exceeds recharge, which has been a serious concern to the water resources management in the region. We evaluated temporal trends and variations in agricultural water use and hydroclimatic variables including precipitation, air temperature, reference evapotranspiration, runoff, groundwater level, and terrestrial water storage across the HPA region for different periods from 1985 to 2020 at the grid, county, or region scale. The results showed that water withdrawals decreased from 21.3 km³/year in 1985 to 18.2 km³/year in 2015, while irrigated croplands increased from 71,928 km² in 1985 to 78,464 km² in 2015 in the entire HPA. The hydroclimatic time-series showed wetting trends in most of the northern HPA, but drying and warming trends in the southern region from 1985 to 2020. The groundwater level time-series indicated flat trends in the north, but significant declining in the central and southern HPA. Trends in irrigation water withdrawals and irrigation area across the HPA were controlled by the advancement of irrigation systems and technologies and the management of sustainable water use, but also were affected by dynamical changes in the hydroclimatic conditions.     

基于小流域单元的怒江州泥石流易发性评价

开展泥石流灾害易发性评价,了解区域泥石流易发程度的整体特征和空间异质性,为区域宏观层面国土空间布局及地质灾害防治规划等提供依据。基于小流域评价单元,选择距断裂带距离、岩性、melton比率、流域延伸率、流域高差率、河流弯曲系数、流域水系密度、平均植被覆盖度、年均降水量、距道路距离、距居民点距离等11个评价指标,采用确定性系数模型CF和多因子叠加权重确定法开展怒江州泥石流易发性评价研究。将易发性评价结果划分为5个等级,并以研究区历史泥石流灾害对易发性评价结果验证。结果表明:极高易发区面积仅占研究区总面积的8.31%,但发生泥石流灾害的数量占泥石流总数的29.75%;高易发区的面积占总面积的12.29%,发生泥石流的数量占22.59%。最后通过独立样本验证,易发性评价模型性能(AUC=0.742)良好。怒江州泥石流灾害易发性评价结果与历史泥石流灾害点空间分布较为吻合,表明选取的易发性评价指标和评价方法可行,评价结果可为怒江州防灾减灾工作提供参考。     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

Sb release characteristics of the solid waste produced in antimony mining smelting process

Sb release characteristics of blast furnace slag, mining waste rock and tailing sand were investigated in static immersion and dynamic leaching test. These three kinds of waste samples were collected from the antimony mine in Lengshuijiang, China, produced in mining smelting process. Effects of solid/liquid ratio, sample size and pH of leaching solution on Sb release characteristics were inspected based on the analysis of scanning electron microscope, pH and EC of leachate. The optimal parameters for Sb leaching of each sample were analyzed. For blast furnace slag and mining waste rock, Sb release contents increased along with the decline of solid/liquid ratio. The maximum accumulative release contents were 42.13, 34.26 mg/kg at the solid/liquid ratio of 1:20. While Sb release content for tailing sand decreased first and then increased with the reduction of solid/liquid ratio. When the solid/liquid ratio was 1:5, the accumulative Sb release content reached the most (24.30 mg/kg). Sb release content of mining waste rock increased with the drop of leaching solution pH, with the highest accumulative release content of 26.01 mg/kg at pH 2.0. Sb release contents of blast furnace slag and tailing sand showed positive correlation with the variation of leaching solution pH. The maximum accumulative release contents of these two samples were 215.91 and 147.83 mg/kg, respectively, when leaching solution pH was 7.0. In summary, Sb release capacity of the three samples in descending order was tailing sand, blast furnace slag and mining waste rock. pH and EC of the leachate in dynamic test varied independently with the initial pH of leaching solution while showing close relationship with mineral hydrolysis in the waste.     

Comparisons of three plant species in accumulating polycyclic aromatic hydrocarbons (PAHs) from the atmosphere: a review

Environmental Science and Pollution Research - Plant leaves play a key role in the accumulation of PAHs, as they are able to capture PAHs from the air. In this paper, the mechanism, including...