| 摘要: |
| 【目的】分析神东矿区地表水分时空演变特征及其自然影响因素，为矿区土地复垦提供参考。【方法】基于温度植被干旱指数（TVDI）模型，采用遥感反演方法对神东矿区2018-2020年植被生长季（4-10月）的地表水分进行反演，利用趋势分析法及偏差分析法对神东矿区地表水分的时空演变特征进行分析，并采用相关性分析法分析该地区时空演变的影响因素。【结果】①TVDI模型平均反演精度为83%，适合反演神东矿区0～10 cm土层深度的地表水分，且TVDI与地表水分成反比关系。②偏差分析发现，在时间尺度上神东矿区2018-2020年TVDI值呈现不规则变化，TVDI低值出现在每年7-8月，此时TVDI偏离值小于0，TVDI呈下降趋势。③趋势分析发现，在空间尺度上神东矿区2018-2020年TVDI呈下降趋势的区域集中在研究区矿井群附近，整个研究区内TVDI线性变化趋势上升面积小于下降面积。④TVDI与各影响因子关系的紧密程度依次表现为降水量＞平均相对湿度＞平均气温＞日照时数＞平均气压，TVDI与降水量、月均气温、月均相对湿度均呈极显著负相关，相关系数依次为-0.816，-0.636和-0.779。【结论】TVDI遥感反演模型对于矿区尺度的地表水分反演具有较高精度，可以实现基于TVDI遥感反演的地表水分时空演变特征及相关影响因素的研究，对矿山土地复垦具有参考价值。 |
| 关键词: 温度植被干旱指数 地表水分 时空演变特征 神东矿区 |
| DOI： |
| 分类号: |
| 基金项目:内蒙古自治区科技重大专项“风沙区煤炭资源开采影响土壤性质防控机制研究”（ZDZX2018058） |
|
| Spatial and temporal evolution characteristics of surface water in Shendong Mining Area based on TVDI |
|
SHAO Tianyi,BAO Siqin,HE Shuai
|
| Abstract: |
| 【Objective】This study analyzed the spatiotemporal evolution characteristics of surface water in Shendong Mining Area and its natural influencing factors to provide reference for land reclamation in mining areas.【Method】Based on the Temperature Vegetation Dryness Index (TVDI),the surface water in Shendong Mining Area during the vegetation growing season (April-October) from 2018 to 2020 was retrieved by remote sensing inversion method.The spatiotemporal evolution characteristics of surface water was analyzed using the trend analysis method and deflection analysis method,and the correlation analysis was used to analyze the influencing factors.【Result】①The average inversion accuracy of TVDI model was 83%,which was suitable for inversion of surface water in 0-10 cm soil depth,and the TVDI value was inversely proportional to the surface water.②Deviation analysis showed that TVDI values showed irregular changes from 2018 to 2020,and low TVDI values appeared in July and August.The deviation value of TVDI was less than 0 in July and August,and TVDI showed a downward trend.③Trend analysis showed that at spatial scale,the areas with decreasing TVDI from 2018 to 2020 concentrated near the mine groups,and the increasing area of TVDI was less than the decreasing area in the whole region.④The relationships of TVDI with impact factors were in the decreasing order of average rainfall>relative humidity>average temperature>sunshine duration>average pressure.TVDI had significantly negative correlations with precipitation,average monthly temperature and average relative humidity and the correlation coefficients were -0.816,-0.636 and -0.779,respectively.【Conclusion】The TVDI remote sensing inversion model had high accuracy for surface water inversion at the mining area scale,and it can be used to understand the spatiotemporal evolution characteristics of surface water and related influencing factors. |
| Key words: Temperature Vegetation Dryness Index surface water temporal and spatial characteristics Shendong Mining Area |
