مقایسه شاخص‌های اراضی اصلاح شده و اصلاح نشده در روش پارامتری ارزیابی تناسب اراضی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی سابق دکتری دانشگاه تهران و عضو هیأت علمی مؤسسه تحقیقات خاک و آب

2 استاد دانشگاه تهران

3 دانشیار دانشگاه تهران

چکیده

ارزیابی تناسب اراضی و پیش­بینی پتانسیل تولید امری ضروری در برنامه­ریزی استفاده از اراضی است. منطقه مورد مطالعه در دشت عقیلی، گتوند، استان خوزستان به مساحت تقریبی 3050 هکتار بین عرض شمالی ¢ 07° 32 و ¢ 10° 32 و طول شرقی ¢52° 48 و ¢ 56° 48 قرار دارد. هدف از این تحقیق مقایسه اثر شاخص­های اراضی اصلاح شده و اصلاح نشده بر کلاس­های تناسب اراضی و دقت پیش­بینی پتانسیل تولید اراضی بوده است. با توجه به نتایج حاصل، شاخص­های اراضی اصلاح شده روش پارامتری ارزیابی تناسب اراضی برای هر دو فرمول استوری و ریشه دوم مقادیر بالاتری نسبت به شاخص­های اراضی اصلاح نشده نشان داد و کلاس­های تناسب اراضی را ارتقاء بخشید. درصد کلاس­های تناسب اراضی S1، S2، S3 و N با استفاده از فرمول ریشه دوم، به ترتیب برابر 0، 88، 9 و 3 و پس از اصلاح شاخص اراضی به ترتیب 32، 63، 5 و 0 بدست آمد. این درصدها برای فرمول استوری به ترتیب برابر 0، 40، 55 و 5 و پس از اصلاح شاخص اراضی به ترتیب 55، 38، 6 و 1 محاسبه شد. نتیجه دیگر اینکه ارتقاء کلاس‌ها وقتی که شاخص اراضی اصلاح شده با بهره­گیری از فرمول استوری بکار رفت بیشتر بود نسبت به زمانی که شاخص اراضی اصلاح شده با استفاده از فرمول ریشه دوم مورد بهره­برداری قرار گرفت. این ارتقاء بیشتر با شرایط منطقه تطابق بیشتری دارد. برای اعتبارسنجی روش­های بکار رفته در این تحقیق، عملکرد پیش­بینی شده بدست آمده از دو روش استفاده از شاخص­های اصلاح شده و اصلاح نشده، برای دو فرمول استوری و ریشه دوم با عملکرد واقعی زارع مقایسه گردید. صحت و دقت این روش‌ها با استفاده از معیار ریشه دوم میانگین مربع انحراف (RMSD) مورد ارزیابی قرار گرفت. بر پایه معیار ارزیابی (RMSD)، استفاده از شاخص اراضی به روش ریشه دوم، با بکار­گیری فرمول ریشه دوم برای پیش­بینی عملکرد محصول، با مقدار RMSD برابر 738 کیلوگرم در هکتار دقت بالاتری نسبت به سایر روش­های مطالعه شده دراین پژوهش دارد.

کلیدواژه‌ها


عنوان مقاله [English]

Comparison of Corrected and Uncorrected Land Indices in Parametric Method of Land Suitability Evaluation

نویسندگان [English]

  • S. A. Seyed Jalali 1
  • F. Sarmadian 2
  • M. Shorafa 3
1 Former PhD student of Tehran University and Assistant Professor.of Soil and Water Research Institute
2 Professor of Tehran University
3 Associate Prof.of Tehran University
چکیده [English]

Performance of land suitability evaluation and land production potential prediction are very important in land use planning. The study region with a surface area of about 3050 hectares  is located in Aghili plain, Gotvand, Khuzestan province, between 32° 07¢and 32° 10¢ N latitude and 48° 52¢ and 48° 56¢ E longitude. The aims of this research were to compare effects of corrected and uncorrected land indices on land suitability classes and accuracy of land production potential prediction. Land index was calculated using Storie  and square root formulas. Based on the obtained results, the corrected land indices calculated by Storie and Square Root formulas of parametric method showed higher values compared with uncorrected ones and upgraded land suitability classes. The share of land suitability classes S1, S2, S3, and N, using square root formula for uncorrected land indices, were determined as, respectively, 0.0%, 88%, 9%, and 3%. These values using the corrected land indices were obtained as, respectively, 32%, 63%, 5%, and 0.0%. The share of land suitability classes S1, S2, S3, and N, using Storie formula for uncorrected land indices, were, respectively, 0.0%, 4%, 55% and 5%. By using the corrected land indices, these percentages were obtained as, respectively, 55%, 38%, 6%, and 1%. Another conclusion was that the upgrading of the land suitability classes was more when Storie formula was used for the corrected land index, compared with the square root formula. This higher upgrading is more in accordance with conditions of the studied area. For validation of the methods used in this research, regression correlation was established between predicted yield for corrected and uncorrected land indices, using both Storie and square root formula and the observed yield. Root mean squared deviation (RMSD) was also used for evaluation of the methods and showed the higher accuracy of uncorrected square root method, with RMSD= 738 kg/ha, compared to other methods.





Performance of land suitability evaluation and land production potential prediction are very important in land use planning. The study region with a surface area of about 3050 hectares  is located in Aghili plain, Gotvand, Khuzestan province, between 32° 07¢and 32° 10¢ N latitude and 48° 52¢ and 48° 56¢ E longitude. The aims of this research were to compare effects of corrected and uncorrected land indices on land suitability classes and accuracy of land production potential prediction. Land index was calculated using Storie  and square root formulas. Based on the obtained results, the corrected land indices calculated by Storie and Square Root formulas of parametric method showed higher values compared with uncorrected ones and upgraded land suitability classes. The share of land suitability classes S1, S2, S3, and N, using square root formula for uncorrected land indices, were determined as, respectively, 0.0%, 88%, 9%, and 3%. These values using the corrected land indices were obtained as, respectively, 32%, 63%, 5%, and 0.0%. The share of land suitability classes S1, S2, S3, and N, using Storie formula for uncorrected land indices, were, respectively, 0.0%, 4%, 55% and 5%. By using the corrected land indices, these percentages were obtained as, respectively, 55%, 38%, 6%, and 1%. Another conclusion was that the upgrading of the land suitability classes was more when Storie formula was used for the corrected land index, compared with the square root formula. This higher upgrading is more in accordance with conditions of the studied area. For validation of the methods used in this research, regression correlation was established between predicted yield for corrected and uncorrected land indices, using both Storie and square root formula and the observed yield. Root mean squared deviation (RMSD) was also used for evaluation of the methods and showed the higher accuracy of uncorrected square root method, with RMSD= 738 kg/ha, compared to other methods.





 

کلیدواژه‌ها [English]

  • Land production potential
  • Irrigated wheat
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