基于模糊数学的柑橘种植土地适宜性评价

将模糊数学理论引入柑橘种植的土地适宜性评价中,以湖北省通山县为例,在当地的农用地中采集207个土壤样本点,将气候、土壤和地形数据转换为模糊隶属度数据,然后在ArcGIS软件环境中结合层次分析法和模糊数学方法,建立包含15项指标的柑橘种植土地适宜性评估模型。结果表明,该区域有26.94%(652.37 km²)、32.85%(795.51 km²)、23.14%(560.42 km²)和17.07%(413.40 km²)的土地分别非常适合、适中、勉强适合和不适合柑橘生产。研究结果与当地生产实际相吻合,说明建立的研究方法可行,可为提高土地利用效率,以及更好地指导柑橘生产提供参考。

Land suitability evaluation of citrus cultivation based on fuzzy mathematics

This study introduces fuzzy mathematics theory into the land suitability evaluation for citrus planting.By taking Tongshan County in Hubei Province as an example, 207 soil sample points were collected from local agricultural land, and climate, soil and topographic data were converted into fuzzy membership data.Then, the analytic hierarchy process and fuzzy mathematics method in the ArcGIS software environment were combined, and a suitability evaluation model of citrus planting land containing 15 indicators was established. The results showed that 26.94% (652.37 km²), 32.85% (795.51 km²), 23.14% (560.42 km²) and 17.07% (413.40 km²) of the land in this area were highly suitable, moderately suitable, marginally suitable and not suitable for citrus production, respectively. The research results were consistent with the actual production, indicating that the established research methods were feasible and could provide references for improving land utilization efficiency and better guiding citrus production.