Surface Thermal Environment and Water Temperature Regulation of Rapidly Growing Small and Medium-sized Cities-Exemplified by Binzhou City of Shandong Province

WANG Lin; ZHU Yapeng; WEI Baoli; LI Yonghua

doi:10.13961/j.cnki.stbctb.2018.02.017

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Surface Thermal Environment and Water Temperature Regulation of Rapidly Growing Small and Medium-sized Cities-Exemplified by Binzhou City of Shandong Province

- Surface Thermal Environment and Water Temperature Regulation of Rapidly Growing Small and Medium-sized Cities-Exemplified by Binzhou City of Shandong Province
- Bulletin of Soiland Water Conservation Vol. 38, Issue 2, Pages: 102-109(2018)
- 作者机构：
  
  1. 中国海洋大学环境科学与工程学院,山东,青岛,266100
  2. 滨州市水利局,山东,滨州,256600
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2018.02.017
  CLC：
- Published：2018
- 稿件说明：
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WANG Lin, ZHU Yapeng, WEI Baoli, et al. Surface Thermal Environment and Water Temperature Regulation of Rapidly Growing Small and Medium-sized Cities-Exemplified by Binzhou City of Shandong Province[J]. Bulletin of Soiland Water Conservation, 2018, 38(2): 102-109.
DOI：

WANG Lin, ZHU Yapeng, WEI Baoli, et al. Surface Thermal Environment and Water Temperature Regulation of Rapidly Growing Small and Medium-sized Cities-Exemplified by Binzhou City of Shandong Province[J]. Bulletin of Soiland Water Conservation, 2018, 38(2): 102-109. DOI： 10.13961/j.cnki.stbctb.2018.02.017.

摘要

[目的]调查研究山东省滨州市城区的地表热环境和水体对温度的调节作用及影响因素，为城市水体布局规划提供科学依据。[方法]利用2009，2014年的Landsat影像，使用单窗算法反演地表温度并进行归一化以分析不同用地类型地表温度分布特征，通过在温度测线上布设温度点的方法和水体特征统计，分析水体对温度的调节作用及影响因素。[结果]①夏季地表温度表现为：建筑用地 > 耕地 > 林地 > 水体，冬季耕地 > 林地 > 建筑用地 > 水体，夏冬季平均热等级表现为：建筑用地 > 耕地 > 林地 > 水体。②水体温度调节作用与距离表现出较强的非线性关系。③大面积水体有更好的降温效果；在面积相同的条件下，多个小面积水体将比单一大面积水体有更大的温度调节面积。④水体周边非建筑用地比例增加会提高水体降温影响范围。⑤水体面积较小时，周长面积比越小，则水体降温影响范围越大。[结论]滨州市城区水体的温度调节作用与距离表现出较强的非线性关系，并受到水体面积、边界复杂性和周围用地构成的影响。

Abstract

[Objective] This study investigated the surface thermal environment and water temperature regulation of Binzhou City

and its influencing factors as well

and to provide scientific basis for urban layout planning of water.[Methods] Using Landsat image of 2009 and 2014 years

Mono-Window Algorithm was used to reverse the surface temperature and to analyze the surface temperature distribution characteristics of different land types

and to analyze the regulation effect and the influencing factors of water body temperature by laying temperature points on the temperature line and the water characteristic statistics.[Results] ① In summer and winter

building land had the highest temperature than cultivated land

woodland and water body had in terms of the average thermal grade. ② The temperature regulation effect by waterbody showed strong non-linear relation with the distance from it. ③ Large area water body was observed having better cooling effect. As water area is the same

temperature regulated area by small but many water bodies was larger than that of single large water bodies had. ④ The proportional increase of non-building land around the water body increased the range of water cooling. ⑤ A small water body having longer circumference as compared with the large one

and the range of water cooling is proportionally greater.[Conclusion] The relationship between temperature regulation function and distance of Binzhou water body showed a strong non-linear relationship. The cool effect was affected by the proportion of water body

the complexity of boundary and the surrounding land.

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