Panzhihua city(26°05’-27°21’N,101°08’102°15’E),located in a mountainous area,is one of the large cities in Sichuan province,China.A landslide occurred in the filling body of the eastern part of the Panzhihua airport on October 3,2009(hereafter called the 10.3 landslide).We conducted field survey on the landslide and adopted emergency monitoring and warning models based on the Internet of Things(IoT) to estimate the losses from the disaster and to prevent a secondary disaster from occurring.The results showed that four major features of the airport site had contributed to the landslide,i.e,high altitude,huge amount of filling rocks,deep backfilling and great difficulty of backfilling.The deformation process of the landslide had six stages and the unstable geological structure of high fillings and an earthquake were the main causes of the landslide.We adopted relative displacement sensing technology and Global System for Mobile Communications(GSM) technology to achieve remote,real-time and unattended monitoring of ground cracks in the landslide.The monitoring system,including five extensometers with measuring ranges of 200,450 and 700 mm,was continuously working for 17 months and released 7 warning signals with an average warning time of about 26 hours.At 10 am on 6 December 2009,the system issued a warning and on-site workers were evacuated and equipment protected immediately.At 2:20 pm on 7 December,a medium-scale collapse occurred at the No.5 monitoring site,which justified the alarm and proved the reliability and efficiency of the monitoring system. 相似文献
Manganese oxide has been widely investigated for oxidation of arsenite (As(III)) to arsenate (As(V)) due to its high redox potential; however, it becomes extremely unstable after reuse. Here, As(III) oxidation activity and stability of manganese oxide in the presence of peroxymonosulfate (PMS) is investigated. Batch experimental results reveal that manganese oxide/PMS exhibits high catalytic activity for As(III) oxidation compared to manganese oxide or PMS alone. Addition of PMS to manganese oxide not only reveals long‐term stability for As(III) oxidation, but also shows high As(III) oxidation activity in the presence of coexisting ions such as As(V) and phosphate. Quenching tests reveal that As(III) oxidation in the manganese oxide/PMS system is attributed to activation of PMS by manganese oxide at different oxidation states (Mn(III) and Mn(IV)), and the generation of sulfate radicals that are responsible for As(III) oxidation. 相似文献
Mathematic modeling, established on the basis of physical experiments, is becoming an increasingly important tool in oil and gas migration studies. This technique is based on the observation that hydrocarbon migration tends to take relative narrow pathways. A mathematical model of hydrocarbon migration and accumulation is constructed using the percolation theory. It is then calibrated using physical experimental results, and is tested under a variety of conditions, to understand the applicability of the model in different migration cases. Through modeling, dynamic conditions of large-scale migration pathways within homogeneous formations can be evaluated. Basin-scale hydrocarbon migration pathways and their characteristics are analyzed during the model application to the Chang-8 Member of the Triassic Yanchang Formation in Longdong area of Ordos Basin. In heterogeneous formations, spatial changes in fluid potential determine the direction of secondary migration, and heterogeneity controls the characteristics and geometry of secondary migration pathways.
