Modeling of bastard alfalfa productivity on irrigated fields of the Rostov region

С помощью математической модели Продуктивность люцерны была проведена оценка продуктивности люцерны изменчивой сорта Ростовская 60 в погодных условиях трёх типов: средние многолетние условия агрометеорологические условия сухого года (влагообеспеченность периода вегетации составляла не более 51, запасы продуктивной влаги метрового слоя почвы на уровне 6065 НВ и ниже) агрометеорологические условия влажного года (влагообеспеченность периода вегетации более 85, запасы продуктивной влаги более 75 НВ). Типизация агрометеорологических показателей вегетации люцерны проводилось по двум расчётным периодам: базовому (19611990 годы) и данным за 20052015 годы. Расчёты показали, что при выращивании люцерны на богаре во влажные годы урожайность зелёной массы первого укоса была в 1,51,7 раза выше по сравнению со средними многолетними условиями, в то время как в условиях сухого года урожайность зелёной массы составляла не более 65. Для агрометеорологических условий сухого года с помощью модели был проведён численный эксперимент влияния режима орошения на урожайность зелёной массы первого укоса люцерны в зависимости от сроков полива. Оптимальными сроками полива люцерны являются фаза стеблевания (третья и четвёртая недели вегетации) и фаза начала бутонизации. Оросительная норма составляет 1500 м3/га, вегетационный полив 500 м/га. При таком сочетании сроков полива возможно ожидать урожайность первого укоса до 27 т/га. Mathematical model Alfalfa productivity was used to evaluate performance of bastard alfalfa Rostovskaya 60 under mean annual precipitation rate dry year (water availability of up to 51, water content in 1 m-soil layer 6065) and wet year (water availability of over 85, water content in 1 m-soil layer over 75). Data typing of meteorological parameters was done in accordance with two periods: 19611990 (standard) and 20052015. Calculations revealed that growing alfalfa on dry-farming lands resulted in first cut yield being 1.51.7 times higher compared to mean annual conditions in wet years. In dry year green mass productivity amounted to 65. Numeric experiment was performed for a dry year evaluating the influence of irrigation regime on the first cut yield of alfalfa. Optimal irrigation time is stem formation (third and fourth weeks of a growing season) and budding phases. Optimal irrigation rate is 1500 m3 ha-1, irrigation for a growing season 500 m ha-1. Under such an irrigation time first cut yield is expected to be up to 27 t ha-1.

An Evolutionary Behavior Forecasting Model for Online Lenders and Borrowers in Peer-to-Peer Lending

Online peer-to-peer (P2P) lending is an emerging financial mode that combines the Internet with private lending to provide unsecured lending among individuals. The interest rate and risk depend on online lenders and borrowers’ behavior choices and game in the context of P2P lending. In this paper, we propose an evolutionary behavior forecasting model for online participants based on the risk preference behavior of lenders and the credit choice of borrowers. We highlight four evolutionary equilibrium states of online lenders and borrowers’ behavior and their effects on the risk of online P2P lending platforms. We run a numeric experiment using the Paipaidai platform in China as a case and find that the evolutionary behavior of online lenders and borrowers is determined by the mutual effect of the interest rate, information gathering cost, borrowing cost, and yield rate. This paper uses evolutionary game methodology to analyze online P2P lending behavior in China and explores P2P fund success from the dual perspective of lenders and borrowers.

Analysis of correlation and regression between particle ionizing radiation parameters and the stability characteristics of irradiated monocrystalline Si film

This paper deals with the analysis of correlation and regression between the parameters of particle ionizing radiation and the stability characteristics of the irradiated monocrystalline silicon film. Based on the presented theoretical model of correlation and linear regression between two random variables, numeric and real experiments were performed. In the numeric experiment, a simulation of the effect of alpha radiation on a thin layer of monocrystalline silicon was performed by observing a number of vacancies along the film depth resulting from a single incident alpha particle. In the real experiment, the irradiation of a thin silicon film by alpha particles from a radioactive Am-241 alpha emitter was performed. The observed values of radiation effect on the Si film were specific resistance and the concentration of free charge carriers. The results showed a fine concordance between numeric and real experiments. Correlation verification of the observed values was presented by linear regression functions.

An Numeric Method on the Third Order Term of KDV Equation

Numeric scheme and numeric result was in this paper. First, We proposes a kind of explicit - implicit difference scheme to solve the initial and boundary value questions of the third order term of KDV equation here,and so we can solve the problem that the additional boundary values must be given first for present difference schemes when we try to realize the calculation by then., second, numeric experiment results was given ay the end of this article.

Applications of Non-Linear Diffusion Equations to the Kinetics of Water Vapour Adsorption by Polymeric Fibres

In order to describe the kinetics of water vapour adsorption by polymeric fibres, a numeric experiment has been carried out using the framework of a non-linear diffusion model which takes into account the exponential dependence of the diffusion coefficient on the sorbate concentration in the sorbent. The results show a good correlation between theoretical and experimental kinetic curves for polymolecular adsorption. They also confirm the exponential decrease of the diffusion coefficient with an increase in polymolecular filling.