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Herbaceous peony in warm climate:Modelling stem elongation and growers profit responses to dormancy conditions

Information Processing in Agriculture 2016年第3期3卷 175-182页

作者： Menashe Cohen Rina Kamenetsky gregory yom din Northern R&D MigalP.O.Box 831Kiryat Shmona 11016Israel Institute of Plant Science Agricultural Research OrganizationVolcani CenterBet Dagan 50250Israel Open University of Israel RaananaIsrael Faculty of Exact Sciences Tel Aviv UniversityTel AvivIsrael

We analysed the data collected for herbaceous peony cultivated in a warm climate region and stored in winter under three constant chilling temperatures.We used the quadratic regression model to describe the stem elongation responses to winter dormancy conditions,and the logistic function to describe the weekly stems elongation.The predicted maximal stem length from the first model was used as the input parameter for the second model.More than 4000 data for various(a)chilling constant temperatures during dormancy,(b)dormancy duration,and(c)germination duration,were used.The models were applied to determine the optimal number of chill units.For this purpose,two criteria were used in different versions of the model:the maximal stem length and the maximal profit of farmers.For the two chilling temperatures of 2℃ and 6℃,the optimal values of chill units(in the models of a maximal stem length and maximal profit of farmers)are close to one another,and the values of a maximal stem length and maximal profit are significantly different.In the case of the third chilling temperature of 10℃,the model failed to determine the optimal number of chill units.The method of inverse confidence intervals for testing the significance of the optimal number of chill units was used.

关键词： Peony Dormancy Regression Logistic function Inverse confidence intervals Profit

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Modeling Municipal Solid Waste Management in Africa: Case Study of Matadi, the Democratic Republic of Congo

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Journal of Environmental Protection 2013年第5期4卷 435-445页

作者： gregory yom din Emil Cohen Independent Expert for Waste to Energy Projects Moshav Aniam Israel The Open University of Israel Raanana Israel Tel-Aviv University Tel-Aviv Israel

The purpose of this article is to present the key elements for best performance and profitability of Municipal Solid Waste (MSW) management in a low-income city. The research provides an overview of methods and models for integrated planning of a two-phase program: MSW collection and transportation, and MSW treatment. We present the case study of Matadi (the Democratic Republic of Congo) that has a low level of the MSW management compared to other African cities. We develop a spreadsheet model for collection and transportation of MSW which is relevant for low-income cities and enables determining the waste collection fee. A CDM decay model is used to predict the GHG emissions in disposal site. The MSW treatment plant in case of Matadi is evaluated. For the anaerobic digestion technology selected as appropriate for this plant, the key factors that ensure profitability of the plant are as follows: tipping fee from the municipality (19% of total revenue), amount of carbon credits which can sum up to 16% of the total revenue, expansion of waste collection range from 25 to 50 km. The methods of this study can be used for solving waste problem in other low-income cities where the budget for municipal services is scanty, particularly when starting from a very low level of MSW management.

关键词： Municipal Solid Waste Waste Treatment Emissions Trading Planning Economic Evaluation

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