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Thermal response to patch characteristics and configurations of industrial and mining land in a Chinese mining city

机译：中国采矿城市对工矿区斑块特征和构造的热响应

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Industrial and mining land is an important heat source in mining cities, however this heat has not been separated from that of built-up land in most studies of the thermal environment. This study measures the response of land surface temperature (LST) to patch characteristics and the configurations of four sub-classified industrial and mining land parcels in Wu'an, a mining city in China. We use Landsat-8 and ZY03 satellite imagery to obtain the LST and land use type. A heating rate index (T-m) is defined as the increase in LST per 1 ha increase in patch area. Multivariate regression analyses is used to analyse the relationship between thermal indicators and landscape metrics, both at the patch and village scales. Our results indicate that, at the patch scale, the mean LST (LSTm) can be described well by nonlinear binary functions of the area and landscape shape index (LSI), with different forms for each type of industrial and mining land patch. When the LSI does not vary, LSTm increases with increasing area, within area thresholds (0-50 ha for smelter or processing lands, and 5-30 ha for mining lands), while for a constant area, the LSTm decreased with increasing LSI. Below the critical LSI (similar to 2.2), more complex patch shape had lower T-m values. Above the critical LSI, T-m do not increase or decrease as LSI increased. At the village scale, patch configuration of industrial and mining land has an effect on (LSTv). The landscape percentage and aggregation index are both directly correlated with the LST of villages that contained industrial and mining land. Our findings show that the degree of LSTv response to a land patch configuration metrics change is, in order, iron and smelter land > coal processing land > coal mining land > iron ore mining land. This study provides an improved understanding of the thermal environmental response to mining activities, and can serve as a reference for future industrial layouts and land use planning in mining cities.
机译：工业和采矿用地是采矿城市中重要的热源，但是在大多数热环境研究中，这种热还没有与建筑用地分开。这项研究测量了地表温度（LST）对斑块特征的响应以及中国矿业城市武安的四个亚分类工业和采矿地块的构造。我们使用Landsat-8和ZY03卫星图像来获得LST和土地使用类型。加热速率指数（T-m）定义为斑块面积每增加1公顷LST的增加。多元回归分析用于分析斑块和村庄尺度的热力指标与景观指标之间的关系。我们的结果表明，在斑块规模上，平均LST（LSTm）可以通过面积和景观形状指数（LSI）的非线性二元函数很好地描述，每种类型的工业和采矿用地块具有不同的形式。当LSI不变时，LSTm在面积阈值（冶炼厂或加工区为0-50公顷，采矿区为5-30公顷）内随面积的增加而增加，而对于恒定面积，LSTm随LSI的增加而降低。在临界LSI（类似于2.2）以下，更复杂的贴片形状具有较低的T-m值。在临界LSI之上，T-m不会随着LSI的增加而增加或减少。在村庄范围内，工业和采矿用地的斑块配置会影响（LSTv）。景观百分率和聚集指数都与包含工业和采矿土地的村庄的土地利用税直接相关。我们的研究结果表明，LSTv对土地斑块配置指标变化的响应程度依次为：铁矿和冶炼土地>煤炭加工土地>煤炭开采土地>铁矿石开采土地。这项研究可以更好地理解热环境对采矿活动的响应，并可以为采矿城市未来的工业布局和土地利用规划提供参考。

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