微波辐射/Fenton试剂法处理聚磺钻井废水研究

采用微波辐射/Fenton试剂法对大湾404井完并聚磺钻井废水混凝水进行处理,考察了微波温度、微波功率、辐射时间对废水COD去除率的影响.结果表明,当微波温度为100℃,微波功率为400W,辐射时间为30 min,废水pH值为3.0,H2O2投加量为20 mL/L,FeS04投加量为0.1 g/L时,COD去除率较高,为60.50％,BOD/COD提高到0.5,因此该法可缩短聚磺钻井废水处理时间,提高COD去除率和可生化性.     

南京颗粒物时间序列相关性及其成因分析研究

以南京2014年2月到5月的PM2．5、PM10日平均值和气象要素观测资料为例,根据Pearson相关系数和双尾检验显著性水平对其逐日时间序列进行相关性分析。结果表明：南京2014年2月到5月PM2．5、PM10与前2日质量浓度值呈正相关性,但两者与前3日、前4日质量浓度值都没有明显线性相关性;PM10较PM2．5相关性更强。在此基础上,从PM2．5、PM10成分来源等方面,阐述了该结论产生的原因。     

夏垫活动断裂沉积物粒度分析及沉积环境研究

利用夏垫断裂附近采集的样品,通过激光粒度仪实验进行粒度测试、分析,研究了第四纪沉积物平均粒径、标准偏差、偏度、峰态、众数、频率曲线、累计概率曲线等粒度特征,并用解析的方法研究了沉积物成分上的特点和变化。本文依据上述特征,将地层划分为8个沉积旋回,综合得出地层沉积动力和沉积环境的变化:较低能的沼泽相沉积、中能的河流相沉积、中高能的河流相沉积、高能的河流相沉积—低能的洪积相沉积、中高能的河流相沉积、低能的沼泽相沉积、中低能的浅湖相沉积、中能的浅湖相沉积。且本文认为地层中出现的两次富含黑灰色粘土、粉砂和碳化的植物遗体的沼泽相沉积应为地震引发的断塞塘沉积。     

Yield and leaf area index estimations for sunflower plants using unmanned aerial vehicle images

Vegetation is commonly monitored to improve efficiency of various agricultural practices. Spatial and temporal changes in plant growth and development can be monitored with the aid of remote sensing techniques employing ground, aerial, and satellite platforms. Unmanned aerial vehicles (UAV) and multi-spectral cameras developed for UAVs have an important potential for agricultural management activities with high-resolution spatial and temporal images. However, UAV images should be assessed based on ground measurements for using these images as a decision-support tool in agriculture. This study was conducted to estimate sunflower leaf area index (LAI) and yield with the aid of Normalized Difference Vegetation Index (NDVI) images generated from raw UAV images. Furthermore, UAV-based NDVI values were compared with NDVI values calculated by using hyper-spectral measurements carried out with a ground-based spectroradiometer. Between July and August of 2017, six flight missions were conducted and spectral measurements were made simultaneously. A significant correlation (R²?=?0.77) was determined between NDVI values that belong to UAV platform and spectroradiometer. Also, regression models developed for sunflower LAI and yield estimation depending UAV-based NDVI have R² values of 0.88 and 0.91, respectively.