Search published articles


Showing 2 results for Mahmoudi

Mohammad Daraei, Dr Peyman Mahmoudi, Dr Behroz Sari Sarraf, Dr Ali Mohammad Khorshiddost,
Volume 18, Issue 50 (3-2018)
Abstract

Agricultural sector is most dependent on climate, and climate is the main determinant of time, location, production resources, and productivity of agricultural activities. The first event of zero-degree temperature in fall and its last event in spring is important for agriculture. This information is used to determine the species suitable for planting in each area. The present study seeks to identify the probability distribution function for extracting statistical characteristics of frost events in Iran. For this purpose, the history of early autumn and late spring frosts were extracted using daily minimum temperatures of 44 synoptic stations in Iran for a period of 30 years (1981-2010). After fitting various distributions, the best distribution was selected using Anderson-Darling goodness of fit test. Results indicated that most stations follow the Wakeby distribution. Based on the calculations, the first day of frost occurs in the highlands of the Northwest (Saqez, Hamedan, Ardabil, and Zanjan), Northeast (Bojnoord, Torbat-e Heydariyeh, Birjand, and also the Central Zagros Mountains (Shahr-e Kord), due to proximity with cold lands of the North such as Siberia and Northern Europe as well as early entry of westerly winds to this region compared to other regions of Iran will occur. And the latest event of the first day of frost occurs a little farther from the southern coast of Iran in a narrow strip along the coast and parts of the northern coasts (from Babolsar to Bandar Anzali). The earliest event of the last day of frost occurs in the same area in early February. The latest day of frost in Iran occurs in Azerbaijan, Kurdistan, Khorasan, and highlands of the province of Chahar Mahal and Bakhtiari

Majid Yasouri, Samira Mahmoudi, Ali Reza Darban Astaneh, Seyyedeh Fatemeh Emami,
Volume 23, Issue 71 (12-2023)
Abstract

Social capital plays an important role in increasing bioavailability, which undoubtedly is the main goal of all planning and development, including rural planning and development. This research is an applied and descriptive-analytical approach that is conducted with a sample of 355 people among the people of Kurdish villages in Rudbar city. The data gathering tool in this research included: library studies for gathering information about research literature and then field research through observation and questionnaire. The statistical population of the study is Kurdish villages of Guilan province in Rudbar with 12 villages and 2955 population (according to the census of 1395). The number of samples was determined using the Morgan table, 340 people were selected. To increase the level of confidence and reduce the error in the data, the number of samples was increased and 355 questionnaires were completed The research was used to systematically explain the factors influencing location and achieve a comprehensive model of multivariate path analysis. The direct and indirect effects of the variables discussed were studied in a model. The results of the research indicate that the physical variables of spatial belonging (0.445), the dimension of social capital trust (0.126), the environmental dimension of spatial attachment (0.168), spatial sense of belonging dimension (0.99), social correlation dimension And then social capital participation is the most important factors that directly affect the location of the villagers' affiliation.

Page 1 from 1     

© 2024 CC BY-NC 4.0 | Applied researches in Geographical Sciences

Designed & Developed by : Yektaweb