| 阿拉尔垦区土壤盐渍化遥感监测及时空特征分析 |
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| 引用本文： | 代云豪,管瑶,张钦凯,孙峻杰,贺兴宏.阿拉尔垦区土壤盐渍化遥感监测及时空特征分析[J].干旱区地理,2022,45(4):1176-1185. |
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| 作者姓名： | 代云豪 管瑶 张钦凯 孙峻杰 贺兴宏 |
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| 作者单位： | 1.塔里木大学水利与建筑工程学院,新疆 阿拉尔 8433002.塔里木大学南疆岩土工程研究中心,新疆 阿拉尔 843000 |
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| 基金项目： | 兵团重大项目子课题(2017AA002);兵团重点产业项目(2021DB017);中国农业大学塔里木大学联合基金(2019TC157);塔里木大学研究生科研创新项目(TDGRI202042) |
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| 摘 要： | 及时准确掌握区域土壤盐渍化信息对盐渍土治理和土地利用可持续发展有着重要意义。以阿拉尔垦区Landsat 7 ETM+/8 OLI影像为数据源,采用盐分指数（Salinity index,SI）和归一化植被指数（Normalized difference vegetation index,NDVI）构建遥感盐分监测指数（Salinization detection index,SDI）模型,对阿拉尔垦区土壤盐渍化进行反演,分析近10 a垦区土壤盐渍化空间分布特征。结果表明：SDI模型与土壤实测电导率拟合度R2=0.7579,该模型可反演阿拉尔垦区土壤盐量;2011—2021年非盐渍土和轻度盐渍土面积分别增加318.22 km2和0.80 km2,中度、重度土壤盐渍化面积减少229.87 km2,盐土面积增加68.61 km2;阿拉尔垦区北部和南部地区的土壤盐渍化程度得到明显转好,中部和东部地区土壤盐渍化程度加重,垦区土壤盐渍化总体得到较好改善。SDI模型能较好反演阿拉尔垦区土壤盐渍化时空特征,可为阿拉尔垦区经济与社会发展提供一定的参考依据。
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| 关 键 词： | 土壤盐渍化 盐渍土 遥感盐分监测指数（SDI）模型 SI-NDVI 阿拉尔垦区 |
| 收稿时间： | 2021-11-10 |
Remote sensing monitoring and temporal and spatial characteristics of soil salinization in Aral Reclamation Area |
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| DAI Yunhao,GUAN Yao,ZHANG Qinkai,SUN Junjie,HE Xinghong.Remote sensing monitoring and temporal and spatial characteristics of soil salinization in Aral Reclamation Area[J].Arid Land Geography,2022,45(4):1176-1185. |
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| Authors: | DAI Yunhao GUAN Yao ZHANG Qinkai SUN Junjie HE Xinghong |
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| Affiliation: | 1. College of Water Conservancy and Architecture Engineering, Tarim University, Aral 843300, Xinjiang, China2. Southern Geotechnical Engineering Research Center, Tarim University, Aral 843300, Xinjiang, China |
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| Abstract: | This paper analyzes the distribution and spatial variation of saline soil of different degrees in the Aral Reclamation Area, Xinjiang, China and provides an important reference for effectively controlling and preventing reclaimed saline soil in the reclamation area. Using Landsat ETM+ in 2011 and Landsat OLI in 2021, the remote salinization detection index (SDI) model of soil salinization was constructed using the salinity index and the normalized vegetation index to extract and analyze soil salinization information in the Aral Reclamation Area. Soil data were collected from 139 surface soil sample points (0-10 cm) in the Aral Reclamation Area, and three samples per point were collected using the triangular sampling method. Soil extract with water and soil (5:1) was prepared, and soil conductivity was measured in the laboratory. According to the soil conductivity value corresponding to the soil salinization grade standard of the American Saline Alkali Soil Laboratory, the soil salinization grade in the Aral Reclamation Area is divided into five categories. According to the natural discontinuity method, the SDI is divided into five levels to verify its classification accuracy and explore the temporal and spatial distribution characteristics of soil salinization in the study area in the recent 10 years. The fitting degree between the SDI model of soil salinization and the measured soil conductivity R2=0.7579. The farmland in the reclamation area comprises mainly nonsaline soil and light saline soil, the riverbed and grassland of the Tarim River are mainly moderately saline soil and heavy saline soil, and the land desertification and the area near the desert comprise mainly saline soil. From 2011 to 2021, the area of nonsaline soil and mild saline soil in the Aral Reclamation Area increased by 318.22 km2 and 0.80 km2, respectively; the area of moderate and severe soil salinization decreased by 229.87 km2; and the area of saline soil increased by 68.61 km2. In the recent 10 years, the degree of soil salinization in the north and south of the Aral Reclamation Area has improved significantly, the degree of soil salinization in the middle and eastern parts has increased, and the overall soil salinization in the reclamation area has improved. The SDI has a certain reference value for the study of soil salinization and provides a scientific basis for the real-time monitoring and accurate treatment of soil salinization in reclamation areas. |
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| Keywords: | soil salinization saline soil salinization detection index (SDI) salinity index-normalized difference vegetation index (SI-NDVI) Aral Reclamation Area |
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