Habibi, A., Shadfar, S., Daghigh, Y. (2010). Evaluation of coverage amount of present intensity conditions with ‎predicted country power, case study: Fashand watershed. , 2(1), 18-24.
Alireza Habibi; Samad Shadfar; Younes Daghigh. "Evaluation of coverage amount of present intensity conditions with ‎predicted country power, case study: Fashand watershed". , 2, 1, 2010, 18-24.
Habibi, A., Shadfar, S., Daghigh, Y. (2010). 'Evaluation of coverage amount of present intensity conditions with ‎predicted country power, case study: Fashand watershed', , 2(1), pp. 18-24.
Habibi, A., Shadfar, S., Daghigh, Y. Evaluation of coverage amount of present intensity conditions with ‎predicted country power, case study: Fashand watershed. , 2010; 2(1): 18-24.

Evaluation of coverage amount of present intensity conditions with ‎predicted country power, case study: Fashand watershed

مهندسی و مدیریت آبخیز
Article 3, Volume 2, Issue 1, May 2010, Pages 18-24    PDF (1.4 M)
Document Type: Research Paper
Authors
Alireza Habibi* 1; Samad Shadfar2; Younes Daghigh2
1MSc, Soil Conservation and Watershed Management Research Institute, Iran
2Associate Professor, Soil Conservation and Watershed Management Research Institute, Iran
Abstract
Recognition from coverage amount of country present conditions in a watershed is unavoidable necessity for optimal and permanent development and utilization. In this research, we choose Fashand watershed in north-eastern of Hashtgerd city. First have recognized independent variables to predicting country power. Then prepared various weight maps as informational layers using field studies and Geographical Information Systems (GIS), and classified and composed them together using coverage index. In next stage, coverage predicting agriculture power map with present country conditions map and calculate correlation matrix. Results showed that predicted area with much week and week talent include intermediate rangelands with 19.47 percent coverage areas with medium talent for agriculture intensity have 0.3 percent stratification. And good and very good predicted areas for agriculture intensity include 39.7 percent, good rangelands 2 percent, poor rangelands 29 percent.  Unfortunately 994 Hectares of very good agriculture rascals have specialized to civic areas that shows having no comprehensive programs in this base. Prediction shows that 9259 ha of rascals with 53.17 percent of total areas include very good agriculture lands and medium, week and very week areas include less than 23 percent of total Fashand area. Finally, we suggest that programmers and propagators present a model for each area regard to ecological power of area and present intensities conditions, to have in mind area with optimal utilization and suitable intensity use.
Keywords
Correlation matrix; Coverage index; Hashtgerd; Land assessment; Land potential
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