| 引用本文: | 邵天意,李文华,包斯琴,等.神东矿区干旱空间异质性及其环境驱动机制[J].灌溉排水学报,2024,43(3):45-51. |
| SHAO Tianyi,LI Wenhua,BAO Siqin,et al.神东矿区干旱空间异质性及其环境驱动机制[J].灌溉排水学报,2024,43(3):45-51. |
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| 摘要: |
| 【目的】分析神东矿区干旱空间异质性及其环境驱动机制，为该地区生态环境改善的精准施策提供参考。【方法】基于温度干旱植被指数（Temperature Vegetation Drought Index, TVDI）分析神东矿区2002—2018年植被生长季的地表干旱状况，利用地理探测器分析不同环境因子对干旱空间异质性的影响。【结果】2002—2018年，空间平均TVDI呈持续下降趋势，2018年空间平均TVDI最低，为0.561。年内干旱程度最严重时期集中在5—8月，研究区西南部干旱程度大于东北部。降水、归一化植被指数、土壤类型的地理探测器q?10%，以上因子与其他因子之间的交互作用能增强单因子对干旱空间异质性的解释性能。塌陷区年平均TVDI高于非塌陷区。【结论】TVDI可有效表征矿区干旱状况，降水、归一化植被指数、土壤类型为影响研究区干旱空间异质性的主要因子。 |
| 关键词: 干旱；温度干旱植被指数；时空变化；空间异质性；神东矿区 |
| DOI：10.13522/j.cnki.ggps.2023333 |
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| Spatial variation in drought and its determining factors in Shendong mining region |
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SHAO Tianyi, LI Wenhua, BAO Siqin, WANG Nan, MA Yating, SHEN Conglin
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1. Inner Mongolia Agricultural University, Hohhot 010010, China; 2. Inner Mongolia Geographic Information Center,
Hohhot 750306, China; 3. China University of Geosciences, Beijing 100089, China;
4. Forestry Station, Barenzhemu Town, Keyouzhong Banner, Xing’an League 029425, China
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| Abstract: |
| 【Objective】The Shendong mining region is the largest coal mine in China. Extensive coal mining for many years has altered the geological landscape and disrupted ecology, leading to surface subsidence, drop of groundwater table, loss of soil moisture and nutrients, and landscape fragmentation in the region. This paper is to investigate the spatial variability in drought and its correlation to coal mining-induced collapses in the region.【Method】The analysis is based on temperature vegetation drought index (TVDI), and surface droughts measured from 2002 to 2018. Spatial variations in environmental factors and their effect on drought are analyzed using a geographical detector model by elucidating the response of drought to coal mining.【Result】TVDI had been consistently decreasing from 2002 to 2018, reaching the lowest point at 0.561 in 2018. Temporarily, May to August saw the most severe drought each year. Spatially, the southwest experienced higher drought severity than the northeast. The q-values obtained from the geographic detector analysis for precipitation, normalized vegetation index (NDVI), and soil type excepted 10% each year. Synergistic effects between these factors and others significantly improved the explanatory capacity of individual factors for spatial variation in the drought. The correlation coefficients between TVDI and precipitation and between TVDI and NDVI were -0.695 and -0.51, respectively. Average annual TVDI was higher in the subsidence areas than in the non-subsidence areas.【Conclusion】From 2002 to 2018, TVDI spatiotemporally varied in the region, and drought severity was higher and more prevalent in the southwest than in the northeast. Precipitation, NDVI and soil type are the factors that affected drought most. These factors combine to explain the spatiotemporal variation in TVDI more than by any signal factor. Furthermore, the interplay among precipitation, NDVI, soil type and other geographical factors impacts the spatial variation in TVDI. It is important to highlight that collapses in coal mining could have contributed to drought occurrence. |
| Key words: drought; temperature drought vegetation index; spatiotemporal variation; spatial heterogeneity; Shendong mining area |
