| 引用本文: | 邵天意,包斯琴,王 楠,等.基于TVDI的旱情时空动态变化监测——以神东矿区为例[J].灌溉排水学报,2023,42(6):59-66. |
| SHAO Tianyi,BAO Siqin,WANG Nan,et al.基于TVDI的旱情时空动态变化监测——以神东矿区为例[J].灌溉排水学报,2023,42(6):59-66. |
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| 摘要: |
| 【目的】监测旱情的时空动态变化，对神东矿区的土地复垦及生态恢复提供科学依据。【方法】采用1991、2002、2007、2010、2014年和2018年植被生长季36景Landsat数据，基于温度干旱植被指数（TVDI）遥感反演模型，应用偏差分析、线性倾向趋势分析、空间转移矩阵等数理统计分析方法对神东矿区1991—2018年植被生长季旱情时空动态变化进行监测。【结果】①月际变化表现为，TVDI在每年6—9月出现低值，整体UF~UB曲线几乎小于0，TVDI呈下降趋势。年际变化表现为，1991、2002、2007、2010年TVDI偏离值大于0，1991—2010年TVDI呈上升趋势，2014、2018年偏离值小于0，2010—2018年TVDI呈下降趋势，变化趋势同月际变化一致。②神东矿区TVDI空间分布始终表现为西南高于东北，干旱等级面积逐年减少。③神东矿区TVDI呈下降趋势面积大于TVDI呈上升趋势面积，TVDI显著下降趋势面积最大为2 394.74 km2，显著上升面积最小为425.91 km2。④神东矿区干旱状态逐渐向较干旱、正常状态转变。较干旱状态逐渐向正常和较湿润状态转变。向干旱及较干旱状态转变的范围较小。【结论】基于TVDI模型进行神东矿区旱情动态变化监测效果良好，变化明显，可为神东矿区土地复垦提供参考。 |
| 关键词: 温度干旱植被指数；时空动态变化；旱情；神东矿区 |
| DOI：10.13522/j.cnki.ggps.2022509 |
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| Monitoring Spatiotemporal Dynamic of Drought in Shendong Mining Area Based on Temperature Vegetation Dryness Index |
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SHAO Tianyi, BAO Siqin, WANG Nan, HAN Aruhan
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1. College of Desert Governance, Inner Mongolia Agricultural University, Hohhot 010020, China;
2. College of Land Science and Technology, China University of Geosciences, Beijing 100089, China
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| Abstract: |
| 【Objective】Drought is a stress that crops often experience during their growing season, and comprehending its spatiotemporal dynamics in a region is important to improve agricultural management. In this paper, we propose to predict drought using temperature vegetation dryness index (TDVI).【Method】The studied site was a mining area in Shendong, Shandong province. We acquired 36 Landsat images during the growing seasons from 1991 to 2018. The TVDI calculated from these images was used to estimate the spatiotemporal dynamic of drought for different vegetations using mathematical statistical analysis methods, including deviation analysis, linear tendency analysis and spatial transfer matrix.【Result】①Intra-annually, the value of TVDI was low from June to September; overall, the UF~UB curve was less than 0, and the TVDI exhibited a decreasing trend. Inter-annually, the value of TVDI was greater than 0 in 1991, 2002, 2007 and 2010, and showed an increasing trend from 1991 to 2010. The deviation value of TVDI was less than 0 in 2014 and 2018 and showed a decreasing trend from 2010 to 2018. ②Spatially, the value of TVDI was high in the southwest and low in the northeast, and the areas that experienced drought had declined from 1991—2010. ③Trend analysis showed that the areas where the TVDI had decreased from 1991—2010 was larger than the areas where the TVDI had increased. The areas where the TVDI had decreased were 2 394.74 km2 at the most, while the areas where the TVDI had increased were 425.91 km2 at the least. ④Majority of the studied region has undergone a transition from relatively dry state to normal or wet state, and the transition in the opposite direction is less extensive.【Conclusion】Using TVDI calculated from satellite images to monitor spatiotemporal dynamics of drought in the mining area in Shendong is accurate and robust. Our findings have important implication for help land reclamation in mining areas. |
| Key words: temperature drought vegetation index; temporal and spatial dynamics; the drought; Shendong Mining Area |
