Surface runoff and nitrogen (N) loss in a bamboo (Phyllostachys pubescens) forest under different fertilization regimes

Nitrogen (N) losses from agricultural fields have been extensively studied. In contrast, surface runoff and N losses have rarely been considered for bamboo forests that are widespread in regions such as southern China. The thriving of bamboo industries has led to increasing fertilizer use in bamboo forests. In this study, we evaluated surface runoff and N losses in runoff following different fertilization treatments under field conditions in a bamboo (Phyllostachys pubescens) forest in the catchment of Lake Taihu in Jiangsu, China. Under three different fertilization regimes, i.e., control, site-specific nutrient management (SSNM), and farmer's fertilization practice (FFP), the water runoff rate amounted to 356, 361, and 342 m³?ha^?1 and accounted for 1.91, 1.98, and 1.85 % of the water input, respectively, from June 2009 to May 2010. The total N losses via surface runoff ranged from 1.2 to 1.8 kg?ha^?1. Compared with FFP, the SSNM treatment reduced total nitrogen (TN) and dissolved nitrogen (DN) losses by 31 and 34 %, respectively. The results also showed that variations in N losses depended mainly on runoff fluxes, not N concentrations. Runoff samples collected from all treatments throughout the year showed TN concentrations greater than 0.35 mg?L^?1, with the mean TN concentration in the runoff from the FFP treatment reaching 8.97 mg?L^?1. The loss of NO₃ ^?–N was greater than the loss of NH₄ ⁺–N. The total loss of dissolved organic nitrogen (DON) reached 23–41 % of the corresponding DN. Therefore, DON is likely the main N species in runoff from bamboo forests and should be emphasized in the assessment and management of N losses in bamboo forest.     

基于随机森林的光散射法传感器微站PM2.5监测值的校正方法研究

光散射法传感器微站以其体积小、反应迅速、成本低等优点,已成为城市PM_2.5规模化移动监测的新选择.由于其标准与传统标准台站不同,必须对这类微站的监测数据进行准确地校正.本研究利用2021年06月—2022年02月武汉市江夏区标准台站及同期传感器微站监测数据,探讨传感器微站监测误差与温度、相对湿度的关系,并通过随机森林回归(Random Forest Regressor,RFR)校正传感器微站PM_2.5监测数据.对比单一RFR模型、按气象因素分类后RFR模型、“小波去噪+RFR”组合模型、“加权滑动平均去噪+RFR”组合模型校正效果,结果表明：RFR模型和分类后RFR模型均出现泛化能力差的问题,不能满足校正需求;“小波去噪+RFR”组合模型、“加权滑动平均去噪+RFR”组合模型平均绝对误差分别为8.77μg·m^-3和4.78μg·m^-3,平均相对误差分别为40.80%和18.13%.去噪组合模型能满足校正需求,且“加权滑动平均+RFR”组合模型校正效果明显优于“小波去噪+RFR”组合模型.研究结果可为...     

秦皇岛探测环境变化对气象要素的影响

为分析秦皇岛地面气象探测环境变化对气象要素的影响,采用距平百分率和线性倾向估计及趋势系数等方法,对秦皇岛气象站（54449）新、旧站址搬迁前后1989—1998、1999—2008年各10年,与没有迁站的昌黎站做同期资料比较,结果表明：秦皇岛探测环境变化对气象要素有显著影响：年平均气温、年极端气温较迁站前显著下降,相对湿度增大,日照时数明显减少,雾日增多。指出气象要素变化除具有随时间变化的共同差异外,主要受探测环境变化的影响。     

五箱一体化脱氮除磷工艺在示范工程中的应用

五箱一体化工艺是东南大学开发的新型脱氮除磷工艺.示范工程运行表明,该工艺具有自动化程度高、投资少、占地小和运行费用低等优点,并具有良好的脱氮除磷效果.出水水质满足《城镇污水处理厂污染物排放标准》(GB 18918-2002)的一级A标准,氮、磷的去除率分别可达70%和90%左右.示范工程的成功运行为该工艺的推广应用奠定了基础.     

海河渤海湾地区沉积物、鱼体样品中多溴联苯醚的水平与分布

从海河、渤海湾水域内采集了沉积物和鱼体(鲫鱼)样品.采用气相色谱/质谱(GC/MS)方法测定了样品中的多溴联苯醚(PBDEs).结果表明,沉积物(以干重计)和鱼体(以干重计)中PBDEs的检出水平分别为0.35～5.53、6.81～35.50 ng/g,其中相对含量较高的PBDEs单体为BDE-28和BDE-47.鱼体内脏组织中PBDEs的检出水平较肌肉组织中的PBDEs要高,表明其更容易富集PBDEs.     

污水灌溉的研究进展

科学合理地利用污水灌溉,可以缓解日益紧张的水资源供需矛盾,充分利用污水的水肥资源,提高经济效益,保护生态环境.总结了国内外污水灌溉的发展概况和研究进展,包括污水灌溉对土壤理化特性的影响、对植物生长的影响以及对地下水的影响,并针对中国污水灌溉存在的问题,探讨了污水灌溉技术的发展方向.     

Impact of ambient temperature on life loss per death from cardiovascular diseases: a multicenter study in central China

Environmental Science and Pollution Research - In the context of global climate change, studies have focused on the ambient temperature and mortality of cardiovascular diseases (CVDs). However,...     

Precipitation projection over Daqing River Basin (North China) considering the evolution of dependence structures

Environmental Science and Pollution Research - Understanding dynamic future changes in precipitation can provide prior information for nonpoint source pollution simulations under global warming....     

Current research scenario for biological effect of exogenous factors on microcystin synthesis

Environmental Science and Pollution Research - In natural water bodies, numerous cyanobacteria have the potential to intracellularly synthesize cyanotoxins, among which microcystin (MC) is the...     

Organic–inorganic calcium lignosulfonate compounds for soil acidity amelioration

Environmental Science and Pollution Research - Soil acidification is a problem widely occurring worldwide, which severely threaten food security and agricultural sustainability. Calcium...