پهنه بندي اقليم كشاورزي محصول ذرت در استان لرستان

Zoning of agricultural climate of corn crop in lorestan

ﭘﮋوﻫﺶ ﺣﺎﺿﺮ ﺑﻪ ﭘﻬﻨﻪﺑﻨﺪي اﻗﻠﯿﻢ- ﮐﺸﺎورزي ﻣﺤﺼﻮل ذرت دﯾﻢ در اﺳﺘﺎن ﻟﺮﺳﺘﺎن و ﺑﺮرﺳﯽ ﻧﻘﺶ آن در ﮐﺎﻫﺶ ﻣﺨﺎﻃﺮات ﻣﺤﯿﻄﯽ ﭘﺮداﺧﺘﻪ اﺳﺖ. روش ﻣﻄﺎﻟﻌﻪ در اﯾﻦ ﭘﮋوﻫﺶ اﺳﺘﻨﺎدي ﺗﻮﺻﯿﻔﯽ اﺳﺖ ﮐﻪ در اﯾﻦ ﺧﺼﻮص اﻃﻼﻋﺎت )ﺑﺎرش، دﻣﺎ و رﻃﻮﺑﺖ( ﯾﮏ دوره آﻣﺎري 20 ﺳﺎﻟﻪ )1377-1397( ﺑﻪﺻﻮرت روزاﻧﻪ، ﻣﺎﻫﺎﻧﻪ، ﻓﺼﻠﯽ و ﺳﺎﻻﻧﻪ ﻣﺮﺑﻮط ﺑﻪ 53 اﯾﺴﺘﮕﺎه ﺳﯿﻨﻮﭘﺘﯿﮏ، ﮐﻠﯿﻤﺎﺗﻮﻟﻮژي و ﺑﺎرانﺳﻨﺠﯽ اﺳﺘﺎن و ﺧﺎرج اﺳﺘﺎن ﺗﻬﯿﻪ و ﺳﭙﺲ ﺑﺎ در ﻧﻈﺮ ﮔﺮﻓﺘﻦ ﺷﺮاﯾﻂ ﻣﻮرد ﻧﯿﺎز ﻣﺤﺼﻮل ﻧﻈﯿﺮ آﺳﺘﺎﻧﻪﻫﺎي ﺣﺮارت، ﻃﻮل دوره رﺷﺪ و ﻧﯿﺎز آﺑﯽ، ﭘﻬﻨﻪﻫﺎي ﻣﻨﺎﺳﺐ رﺷﺪ ﺑﻪ ﮐﻤﮏ ﺳﯿﺴﺘﻢ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﯿﺎﯾﯽ ﻣﺸﺨﺺ و ﺳﭙﺲ ﻧﻘﺸﻪ ﭘﻬﻨﻪﺑﻨﺪي اﻗﻠﯿﻢ زراﻋﯽ ذرت اﺳﺘﺎن ﺗﻬﯿﻪ ﺷﺪ. ﺑﺪﯾﻦ ﺗﺮﺗﯿﺐ در ﻧﻘﺸﻪ ﻧﻬﺎﯾﯽ ﺑﻪ دﺳﺖ آﻣﺪه 8588/15 ﮐﯿﻠﻮﻣﺘﺮ ﻣﺮﺑﻊ از اراﺿﯽ اﺳﺘﺎن داراي اراﺿﯽ ﻣﺴﺘﻌﺪ و 13938/13 ﮐﯿﻠﻮﻣﺘﺮ ﻣﺮﺑﻊ داراي اراﺿﯽ ﻧﯿﻤﻪ ﻣﺴﺘﻌﺪ و 5631/57 ﮐﯿﻠﻮﻣﺘﺮ ﻣﺮﺑﻊ داراي اراﺿﯽ ﻏﯿﺮ ﻣﺴﺘﻌﺪ اﺳﺖ. ﺑﺮاي اﯾﺠﺎد ﻫﻤﺎﻫﻨﮕﯽ در ﺗﻠﻔﯿﻖ دادهﻫﺎ و اﯾﺠﺎد ﻧﻘﺎط ﮐﻤﮑﯽ ﺑﺮاي ﭘﯿﺪا ﮐﺮدن ﻣﻨﺎﻃﻖ ﻫﻢ ﺑﺎران و ﻫﻢدﻣﺎ از روش درونﯾﺎﺑﯽ ﮐﺮﯾﺠﯿﻨﮓ اﺳﺘﻔﺎده ﺷﺪ.

This study analyzes the climatic-agricultural zoning of rain-fed corn in Lorestan province and its role in reducing environmental risks. The study method in this research is citation-descriptive in which the information (precipitation, temperature, etc.) of a 20-year statistical period (1377-1397) has been gathered on a daily, monthly, seasonal and annual basis from 53 synoptic stations, climatology and rain gauge, inside and outside of this province. Then, considering the required conditions for this crop such as heat thresholds, growth period and the amount of water requirement, suitable growth zones has been determined by GIS and after that the zoning of agricultural climate of corn crop in this province has been mapped. On the base of the final obtained map, this province has 8588.15 kilometers of potential lands, 13938.13 square kilometers of semi-potential lands and 5631.57 square kilometers of non-potential lands. Kriging interpolation method has been used to create coordination in data integration and also auxiliary points to find the regions with the same amount of temperature and rainfall.