| 太湖流域典型农用地面源磷流失的土壤主控因子光谱识别 |
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| 引用本文： | 熊俊峰,林晨,马荣华,吴治澎,闵敏.太湖流域典型农用地面源磷流失的土壤主控因子光谱识别[J].水土保持通报,2017,37(2):137-141,147. |
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| 作者姓名： | 熊俊峰 林晨 马荣华 吴治澎 闵敏 |
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| 作者单位： | 1. 南京信息工程大学地理与遥感学院,江苏南京210044;中国科学院南京地理与湖泊研究所中国科学院流域地理学重点实验室,江苏南京210008;2. 中国科学院南京地理与湖泊研究所中国科学院流域地理学重点实验室,江苏南京,210008;3. 南京大学地理与海洋科学学院,江苏南京,210046;4. 中国科学院南京地理与湖泊研究所中国科学院流域地理学重点实验室,江苏南京210008;河南大学黄河文明与可持续发展研究中心,河南开封475001 |
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| 基金项目： | 国家自然科学基金青年项目“典型林耕地转换模式下颗粒态磷流失的土壤主控因子光谱甄别”（41301227） |
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| 摘 要： | 目的]通过光谱识别太湖流域农用地面源磷流失的土壤主控因子,为简化面源磷流失强度估算提供依据。方法]通过分析梅梁湾流域耕地和园地中不同面源磷流失强度下的土壤光谱特征,确定影响面源磷流失强度的主要土壤理化性质。结果]耕地面源磷流失强度的特征波段为650~670nm,1 475nm和1 680~1 695nm,土壤主控因子是有机质,二者之间呈正相关;园地面源磷流失强度的特征波段为685~690nm,710~720nm,1 110~1 115nm,1 150~1 155nm和2 170nm,主控因子是有机质、水分和Fe2+,分别和面源磷流失强度呈负相关、正相关和负相关;有机质对耕地的面源磷流失强度的影响更加显著:耕地面源磷流失强度与光谱指数间的相关系数在1 685nm处达到0.74,而园地条件下相关系数最高值在715nm处仅为0.48。结论]耕地面源磷流失主控因子为有机质,园地的主控因子为有机质、水分和Fe2+。
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| 关 键 词： | 光谱 磷流失 水分 有机质 土地利用 |
| 收稿时间： | 2016/7/14 0:00:00 |
| 修稿时间： | 2016/9/9 0:00:00 |
Spectral Identification of Main Control Factors of Soil Phosphorus Loss from Typical Agricultural Land in Taihu Basin |
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| XIONG Junfeng,LIN Chen,MA Ronghu,WU Zhipeng and MIN Min.Spectral Identification of Main Control Factors of Soil Phosphorus Loss from Typical Agricultural Land in Taihu Basin[J].Bulletin of Soil and Water Conservation,2017,37(2):137-141,147. |
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| Authors: | XIONG Junfeng LIN Chen MA Ronghu WU Zhipeng and MIN Min |
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| Institution: | School of Geography and Remote Sensing, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China;Key Laboratory of Watershed Geographic Sciences, Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, China,Key Laboratory of Watershed Geographic Sciences, Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, China,Key Laboratory of Watershed Geographic Sciences, Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, China,School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, Jiangsu 210046, China and Key Laboratory of Watershed Geographic Sciences, Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, China;Key Research Institute of Yellow River Civilization and Sustainable Development, He''nan University, Kaifeng, He''nan 475001, China |
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| Abstract: | Objective] This study was to simplify the estimation of phosphorus loss intensity, through identifying key soil properties affecting non-point source phosphorus loss by spectral analysis, in agricultural land of Taihu Basin. Methods] To identify the key soil physical and chemical properties affecting non-point source phosphorus loss, the spectral characteristics of soil from arable land and orchard land at Meiliang Bay watershed, Taihu Basin were contrasted. Results] The characteristic bands of non-point source phosphorus loss were 650~670 nm, 1 475 nm and 1 680~1 695 nm in arable land, suggesting that soil organic matter was the main factor controlling non-point source phosphorus loss due to the positive correlation between soil organic matter content and non-point source phosphorus loss intensity. The characteristic bands of non-point source phosphorus loss were 685~690 nm, 710~720 nm, 1 110~1 115 nm, 1 150~1 155 nm and 2 170 nm in orchard land, which suggested that soil organic matter, moisture and Fe2+ were the main controlling factors of non-point source phosphorus loss intensity. Non-point source phosphorus loss intensity was negatively correlated with soil organic matter content and Fe2+, while it was positively correlated with water content. The effect of the source phosphorus loss on the arable land was more significant. The correlation coefficient between the surface source phosphorus loss intensity and the spectral index reached 0.74 at 1 685 nm in arable land. The highest correlation coefficient was only 0.48 at 715 nm in orchard land. Conclusion] The key soil property in arable land was soil organic matter, and the key soil properties in orchard land was soil organic matter, moisture and Fe2+. |
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| Keywords: | spectrum phosphorus loss moisture organic matter land use |
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