The state and government departments will produce a large amount of soil survey data in the process of soil environmental pollution investigation. The format of soil data has diversified and multi-scale spatial characteristics. Due to the lack of a unified soil environmental pollution management platform in Yunnan Province, the storage of soil survey data is disorderly and messy. The data cannot be well-informed and scientifically analyzed, resulting in the inability to provide accurate and comprehensive soil environmental quality for all levels of government management data. In order to effectively solve this problem, taking soil heavy metal pollution survey sampling points in Yunnan Province as an example, this paper uses web geographic information systems (GIS) technology to design a set of soil environmental monitoring and analysis platforms that describe data sources, data collection, data analysis and visualization. The platform has established a scientific and rigorous data analysis method, which can uniformly convert and store historically scattered data and conduct unified management and analysis of survey data.
A new nicotine sensor for the simple, rapid determination of nicotine in tobacco products without prior separation is described. The sensor is a coated graphite electrode with silicotungstic acid as the active material in polyvinyl chloride with di(2-ethylhexyl) phthalate as the plasticizer. At pH 5.5-6.0, it provides a Nernstian response to nicotine over lo-' to the average slope is 58 mV/pN. The analytical recovery is 98.1 to 102.3%. Satisfactory results are obtained in comparison with silicotungstate gravimetric method and W spectrometry. M; the detection limit is 7.4 X lo-' M, and 1040-0397/90/$1 .OO+ 25 81
Dianchi Lake is the cradle of Kunming’s survival and development. It plays a vital role in the development of Kunming’s economy and society as well as the formation of a pleasant climate. The phenomenon of cyanobacteria blooms in Dianchi Lake has always been an ecological problem that has attracted much attention. Cyanobacteria blooms destroy the ecological environment, cause a large number of deaths of fish and other animals, pollute drinking water, and cause huge economic losses. In order to monitor the cyanobacteria blooms in Dianchi Lake more effectively and intelligently, this paper proposes a computer vision system for cyanobacteria discrimination based on deep learning. The neural network was trained by using the collected image data of cyanobacteria in Lake Dianchi, and then the network model was tested by using the images captured by the surveillance cameras around the lake. The experimental results show that the system can better discriminate and classify cyanobacteria blooms in different environments, and has a high recognition accuracy.
Lake Dian is one of “Three-river and Three-lake Project” that focus on water pollution prevention and control in China. Rural non-point source pollution is increasing year by year. In order to effectively control the amount of sewage from villages and small towns entering the lake, a full coverage of treatment facilities has been built near the Lake Dian. Among them, the facilities are scattered in the eight districts and two counties of Kunming City, Yunnan Province. It is so difficult to manage that we have to rely on WebGIS technology for management and analysis. This paper designs a visualization platform for sewage treatment facilities in villages and small towns, which is a three-tier system architecture of B/S model. The system takes the map engine of ArcGIS API for JavaScript and the component development of Vue.js as the technical core, combined with ArcGIS Online service portal and spatial database technology. It finishes function implementation such as the visualization of the treatment situation and data management. The platform can scientifically analyse the problems in the construction, management, and operation of sewage treatment facilities in villages and small towns. It improves the ability to share information, and provide decision-making support to the sewage treatment department of the Lake Dian.
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