哈马丹市土地利用变化监测及时空趋势预测

Naser Shafiei Sabet, Faranak Feyzbabaei cheshmeh sefidi
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哈马丹市土地利用变化监测与时空趋势预测[j] . 145-164。在非常贫瘠的荒地和牧场,2004年达到49.8%。与1993年相比,2004年园艺和灌溉农业用地和山地用地分别减少了1.2%和1.5%。2019年,全国居住、非居住建设用地面积和荒地面积继续增加。土地利用面积分别增长1.1%和2.4%。最后,可以说,从1993年到2019年,园艺、农业、山地和牧场用途已经转变为住宅和非住宅建设用途和荒地。这种土地转换对该地区的未来产生了负面影响。结论:自动单元模型和马尔可夫链对未来土地利用变化具有较高的预测能力。此外,土地利用增幅最大的是住宅和非住宅建设用地、荒地,以及园林用地、灌溉农业和山地农业等其他土地利用。该地区的牧场面积有所减少。因此,规划者应该考虑这种广泛的城市增长和发展,以更有效地执行他们的计划。
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Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City
Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City. 145-164. was in the very poor barren lands and rangeland, which reached 49.8% in 2004. Horticultural and irrigated agriculture land use and mountainous land use decreased by 1.2 and 1.5%, respectively, in 2004 compared to 1993. The land-use area of residential and non-residential construction and barren lands have continued to increase in 2019. The area of these land uses increased by 1.1 and 2.4%, respectively. Finally, it can be said that from 1993 to 2019, horticultural, agricultural, mountainous, and rangeland uses have been transformed into residential and non-residential construction uses and barren lands. This land conversion has negative consequences for the region's future. Conclusion: In this study, it was found that the automatic cell model and Markov chain have a high ability to predict future land-use changes. Also, the largest increase in land use was related to residential and non-residential construction and barren lands, and other land uses such as garden lands and irrigated and mountainous agriculture. Rangeland experienced a decrease in area in the region. Therefore, planners should consider this extensive urban growth and development to carry out their plans more efficiently.
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