منابع مشابه
Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China
This study presents a methodology for risk analysis and assessment of drought disaster to agricultural production in the maize-growing area of Songliao Plain of China based on Geographical Information Systems (GIS) from the viewpoints of climatology, geography, disaster science, and environmental science and so on. Crop yield–climate analysis and regression analysis were employed to analyze and...
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In this paper we present a method for measuring the efficiency for any economical branch. We construct the econometric approach of production frontiers, using the DEA technique (Data envelopment analysis), based on the mathematical programming approach. We effectuate an analysis of some certain data concerning the efficiency or the inefficiency of the branches, using the Efficiency Measurement ...
متن کاملEvaluation of geostatistical methods in hydrological drought severity zoning in the Malayer plain
Due to the undeniable impact of drought on human life, careful study of this phenomenon seems essential. The purpose of this study is to evaluate the accuracy of Geostatistical methods in preparing the drought severity map in the Malayer plain using the Standardized Water-Level Index (SWI) and analyze the trend of the Piezometric well. The results based on RMSE and MAE criteria showed that amon...
متن کاملDevelopment of a New Composite Drought Index (CDI) based on Shannon's Entropy Theory for Multivariate Assessment of Drought in Shahrekord Plain
Drought is a climatic phenomenon that begins slowly and has a hidden nature. The duration of its occurrence and the resulting damage occur gradually in different sectors. Therefore, assessment and investigation of drought is very important in planning and implementation of actions to cope with drought. Droughts are divided into different types. One of the common methods of drought assessment is...
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ژورنال
عنوان ژورنال: Present Environment and Sustainable Development
سال: 2016
ISSN: 2284-7820
DOI: 10.1515/pesd-2016-0014