A Preliminary Study on the Rational Utilization of Land Resources in the Poverty-Stricken Mountainous Areas in the Upper Reaches of the Yangtze River:A Case Study of Xueshan Township

As one of the most fragile alpine plateau and canyon areas in China,the upper reaches of the Yangtze River are the key areas of ecological construction in China.It is also a key area for poverty alleviation in the country.Therefore,it is necessary to take into account the dual goals of poverty reduction and ecological environment construction,and explore a win-win road of ecological construction and poverty alleviation in line with the reality of the upper reaches of the Yangtze River.Taking Xueshan Township,Luquan Yi and Miao Autonomous County,Yunnan Province,which is located in the poor mountainous area of the upper reaches of the Yangtze River as an example,based on many field investigations and existing investigation and statistical data,this paper analyzes the current situation and main problems of land use in Xueshan Township,and then puts forward measures and suggestions for rational utilization of land resources in Xueshan Township.This can provide a necessary reference for the next implementation of rural revitalization strategy and ecological construction.

Issues concerning Citizenization Cost Sharing of the Population Transferred from Agriculture: A Case Study of Chongqing

The citizenization of the population transferred from agriculture is an inevitable process for Chinese social transformation,and one of the core issues in the course of new urbanization. The core problem in citizenization of the population transferred from agriculture lies in cost.Taking Chongqing as an example,this paper calculates the total citizenization cost to be 125038. 7 yuan for the population transferred from agriculture. Through field survey and research,this paper analyzes the current situation of citizenization cost sharing of the population transferred from agriculture in Chongqing,points out some problems in cost sharing such as inadequate governmental financial capacity,absence of business and lack of personal affordability,and finally brings forward the corresponding policy recommendations.

Interpolation of Generalized Functions Using Artificial Neural Networks

In this paper we employ artificial neural networks for predictive approximation of generalized functions having crucial applications in different areas of science including mechanical and chemical engineering, signal processing, information transfer, telecommunications, finance, etc. Results of numerical analysis are discussed. It is shown that the known Gibb’s phenomenon does not occur.

Risk Assessment Capacity Building Program in Zaporizhzhia Ukraine: Emissions Inventory Construction, Ambient Modeling, and Hazard Results

Historically, Ukraine has been a major source of industrial production for the former Soviet Union and the source of pollution associated with an aging industrial infrastructure. The US Environmental Protection Agency (US EPA) and the Ukrainian Ministry of Environment and Natural Resources (MENR) entered into partnership to develop Ukrainian expertise and capacity in risk assessment so that Ukraine could more effectively use its National and Regional Environmental Protection Funds and set priorities for cleanup and regulation. Ukrainian scientists, local officials, and EPA consultants conducted a pilot study in the heavily industrialized Zaporizhzhia Oblast so that the process, analytical tools, and approach for a risk assessment could be developed for and tailored to Ukrainian needs. As a first step, site-specific information was obtained from multiple sources of air pollution and an emissions inventory of air pollution developed. Efforts by local officials were critical for emissions inventory construction. After refinements were made to the inventory, Ukrainian scientists then performed exposure modeling using this information so that ambient concentrations of pollutants could be estimated. 11 industry types (i.e., enterprises) were identified as a major emission source. Results of the modeling effort demonstrated that emissions estimates of particulate matter (as measured by particles of less than 10 micron diameter or “PM10”) and a number of carcinogens were consistent with those from other cities with high concentrations of metallurgical industries in former Soviet Union countries, and were above safety standards. Hazard information was gathered from international databases for each of the estimated pollutants. Using such data, prioritization and identification of potential health concerns can be made, but most importantly, the expertise and experience gained from the pilot allowed for continued support of risk assessment capacity building in the Ukraine and support by the World Bank.

Influence of COVID-19 on Oil and Gas Enterprises

At present,the number of confirmed cases of Coronavirus Disease 2019(COVID-19)is growing rapidly worldwide,and the numbers of confirmed cases in the United States,Europe and the Middle East are showing a trend of rapid growth.As concerns grow over the continued spread of COVID-19 in the world,investors are becoming increasingly pessimistic about the development of the global economy,which has led to the rapid decline of the international capital market,including stock markets and futures.International crude oil futures prices have fallen sharply for several consecutive trading days,with a rock-bottom price of less than USD 50 per barrel,breaking the extremely fragile balance maintained by the international crude oil market in an environment where OPEC+continues to reduce production.Against this background,oil and gas enterprises are likely to once again face the test of low oil prices.They should take precautions.On the premise of actively responding to the current epidemic situation,they should plan and arrange measures for dealing with the low oil prices in advance,and transform their high-quality development capability into a survival and development capability in a low oil price environment.