The physical, chemical, and biological indices of aircraft liquid wastes collected from multiple airplanes at Longjia Airport, Changchun, China were measured according to "Integrated Wastewater Discharge Standard," evaluating treatment efficiency of resolvable sanitizing liquid. The results indicate that, after being treated by the resolvable sanitizing liquid, the indices of all first-class pollutants met the requirements of the standard, while among the second-class pollutants, the suspension content, biochemical oxygen demand after 5 days, and chemical oxygen demand as well as the contents of amino nitrogen, total phosphorus, anionic surfactants, total copper, absorbable organic halogen, and phenolic compounds did not reach the discharge standard. Particularly, the level of fecal coliform bacteria in the aircraft liquid wastes can meet the standard specification by adding more than 1 mL/L resolvable sanitizing liquid. The aircraft wastewater treated by resolvable sanitizing liquid cannot be directly discharged back into the environment as well as urban drainage systems. 相似文献
Roxarsone (ROX), a widely used feed organoarsenic additive, occurs as itself and its metabolites in animal manure that is commonly land used as fertilizer. Soil property impacts arsenic (As) speciation and bioavailability. Fourteen soils across China were used to conduct culture experiments to investigate As uptake by garland chrysanthemum (ChrysanthemumL coronarium), with the soils fertilized with chicken manure bearing ROX and its metabolites. The results show As(III) was the sole As form in garland chrysanthemum shoots, and As(III) and As(V) occurred in roots. Only inorganic As was detected in all soils when the plants were harvested. Stepwise regression analysis shows soil-exchangeable Ca predominated shoot As(III) concentration (shoot As(III) = 1.60030 soil Ca, R2 = 0.8832***). Therefore, ROX is transferred into the human food chain finally as inorganic As in plants. Application of animal manure bearing ROX and its metabolites is not recommended in Ca-rich soils to avoid excess inorganic As dietary exposure.
Parameters in process-based terrestrial ecosystem models are often nonlinearly related to the water flux to the atmosphere, and they also change temporally and spatially. Therefore, for estimating soil moisture, process-based terrestrial ecosystem models inevitably need to specify spatially and temporally variant model parameters. This study presents a two-stage data assimilation scheme (TSDA) to spatially and temporally optimize some key parameters of an ecosystem model which are closely related to soil moisture. At the first stage, a simplified ecosystem model, namely the Boreal Ecosystem Productivity Simulator (BEPS), is used to obtain the prior estimation of daily soil moisture. After the spatial distribution of 0–10 cm surface soil moisture is derived from remote sensing, an Ensemble Kalman Filter is used to minimize the difference between the remote sensing model results, through optimizing some model parameters spatially. At the second stage, BEPS is reinitialized using the optimized parameters to provide the updated model predictions of daily soil moisture. TSDA has been applied to an arid and semi-arid area of northwest China, and the performance of the model for estimating daily 0–10 cm soil moisture after parameter optimization was validated using field measurements. Results indicate that the TSDA developed in this study is robust and efficient in both temporal and spatial model parameter optimization. After performing the optimization, the correlation (r2) between model-predicted 0–10 cm soil moisture and field measurement increased from 0.66 to 0.75. It is demonstrated that spatial and temporal optimization of ecosystem model parameters can not only improve the model prediction of daily soil moisture but also help to understand the spatial and temporal variation of some key parameters in an ecosystem model and the corresponding ecological mechanisms controlling the variation. 相似文献
虽然水生生物大多是变温动物并且温度对化合物的毒性有非常重要的作用,但生态毒理学实验一般在实验室标准温度(20℃)或者生物最适温度下进行。我们调查了适应温度(20℃、24℃和28℃)对镉暴露(0,20和40μg·L~(-1))中大型溞生理和亚细胞水平的作用,实验终点包括镉的急性毒性(48 h-EC50)、大型溞的21 d存活率、21 d累积繁殖数(21-d CR)、第一次生育时间(time to first brood,TFB)、能量储存、电子转移活性(electron transport system activity,ETS)、热应激蛋白hsp70和金属硫蛋白(MT)。结果显示:适应温度升高时大型溞的镉耐性降低,20℃、24℃和28℃下的48 h-EC50分别为(40.2±9.9)μg·L~(-1)、(15.6±2.7)μg·L~(-1)和(10.7±1.9)μg·L~(-1);28℃下,大型溞21 d存活率分别比对照(20℃,0μg·L~(-1)镉暴露)降低23%(20μg·L~(-1)镉暴露)和87%(40μg·L~(-1)镉暴露)并且大型溞的21 d累积繁殖数(21-d CR)显著降低。大型溞的能量储存随适应温度的升高而降低,24℃和28℃时分别降低了46%和62%(0μg·L~(-1)镉暴露),48%和60%(20μg·L~(-1)镉暴露)、80%和91%(40μg·L~(-1)镉暴露)。而镉浓度只有达到40μg·L~(-1)时,对大型溞的能量储存有明显影响。适应温度和镉暴露对电子转移系统活性(ETS)没有显著影响。28℃的适应温度和40μg·L~(-1)的镉暴露都能诱导大型溞热应激蛋白hsp70和金属硫蛋白(MT)显著上升,但适应温度(20℃~28℃)和镉暴露(0~40μg·L~(-1))的结合对hsp70先诱导后抑制,MT则一直被诱导上升。总之,生物在不同温度下对毒物的反应存在差异,将不同适应温度下的毒性数据整合到生态危险性评价能够保证生物获得更充分的保护;此外,hsp70和MT的变化是环境压力的综合反应,作为某种污染物的生物标志物时需要综合考虑环境因素。 相似文献