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作 者:范政彬 吴予彦 黄紫欣 陈青露 郑博瀚 林扬帆 陈志强[1] Fan Zhengbin;Wu Yuyan;Huang Zixin;Chen Qinglu;Zheng Bohan;Lin Yangfan;Chen Zhiqiang(School of Geographical Sciences,School of Carbon Neutrality Future Technology of Fujian Normal University,Fuzhou Municipality of Fujian Province 350117)
机构地区:[1]福建师范大学地理科学学院、碳中和未来技术学院,福建福州350117
出 处:《亚热带水土保持》2023年第3期1-5,共5页Subtropical Soil and Water Conservation
基 金:福建省水利科技项目“南方典型流域河湖山水林田草生命共同体的风险评估与优化调控”;平和县水利局横向委托项目“平和蜜柚园水土保持与面源污染阻控研究”。
摘 要:以福建省长汀县朱溪流域为研究区,综合运用遥感、冷热点分析、灰度关联度法、神经网络模型,对研究区内不同因子对土壤有机质的影响及土壤有机质的精准治理方案进行了研究。结果表明:(1)朱溪流域西部与东北部为土壤有机质的热点区,南部与北部为冷点区;(2)各因子对有机质含量的影响程度排序为:高程>植被覆盖度>土地利用强度>坡度>水土保持措施耗费;(3)构建的MLP神经网络模型预测的正确率高达92.6%,利用模型预测在植被恢复、工程恢复、植被工程恢复三种治理措施下土壤有机质的恢复情况,通过精确定位,可实现生态恢复措施最优的空间分布,减少因治理空间错位造成的经济损失。Zhuxi Watershed of Changting County was selected as the study area for the study of influence on the soil organic matters by different factors and the precise control plan through the comprehensive utilization of the remote sensing,cold and hot spot analysis,gray incidence and the neural network model,etc.The results show that:1)hot spots of soil organic matters are located at the west and north-east part of Zhuxi Watershed,while the cold spots of soil organic matters are located at the south and north part of Zhuxi Watershed;2)the influence degrees of the different factors on the content of soil organic matters are ranked as elevation vegetation coverage land use intensity slope degree cost of soil conservation measures;3)the prediction accuracy based on the MLP neural network model is up to 92.6%.By using the model to make the prediction of soil organic matter recovery under three governance measures of vegetation restoration,engineering restoration and vegetation engineering restoration,through the accurate pinpoint,it will realize the optimal spatial distribution of the ecological restoration measures and reduce the economic loss caused by the governance space dislocation.
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