Simulating the Response of the Surface Urban Heat Environment to Land Use and Land Cover Changes: A Case Study of Wuhan, China

被引:9
|
作者
Gao, Meiling [1 ,2 ,3 ]
Li, Zhenhong [1 ,2 ,3 ]
Tan, Zhenyu [4 ]
Liu, Qi [1 ]
Shen, Huanfeng [5 ]
机构
[1] Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China
[2] Minist Educ, Key Lab Western Chinas Mineral Resource & Geol En, Xian 710054, Peoples R China
[3] Big Data Ctr Geosci & Satellites BDCGS, Xian 710054, Peoples R China
[4] Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China
[5] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
u-HRLDAS; land use and land cover changes; land surface temperature; urban heat island; LONG-TERM; ISLAND; MODEL; URBANIZATION; VALIDATION; MITIGATION; PATTERNS; CLIMATE; IMPACT; CITIES;
D O I
10.3390/rs13224495
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the rapid process of urbanization, the urban heat island (UHI), the phenomenon where urban regions become hotter than their surroundings, is increasingly aggravated. The UHI is affected by multiple factors overall. However, it is difficult to dissociate the effect of one aspect by widely used approaches such as the remote-sensing-based method. To qualify the response of surface UHI to the land use and land cover (LULC) changes, this study took the numerical land model named u-HRLDAS (urbanized high-resolution land data assimilation system) as the modeling tool to investigate the effect of LULC changes on the UHI from 1980 to 2013 in Wuhan city, China. Firstly, the simulation accuracy of the model was improved, and the summer urban heat environment was simulated for the summer of 2013. Secondly, taking the simulation in 2013 as the control case (CNTL), the LULC in 1980, 1990, and 2000 were replaced by the LULC while the other conditions kept the same as the CNTL to explore the effect of LULC on UHI. The results indicate that the proper configuration of the modeling setup and accurate surface input data are considered important for the simulated results of the u-HRLDAS. The response intensity of UHI to LULC changes after 2000 was stronger than that of before 2000. From the spatial perspective, the part that had the strongest response intensity of land surface temperature to LULC changes was the region between the third ring road and the inner ring road of Wuhan. This study can provide a reference for cognizing the urban heat environment and guide policy making for urban development.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] The impact of land use and land cover changes on land surface temperature in the Yangon Urban Area, Myanmar
    Yee, Khin Mar
    Ahn, Hoyong
    Shin, Dongyoon
    Choi, Chuluong
    KOREAN JOURNAL OF REMOTE SENSING, 2016, 32 (01) : 39 - 48
  • [32] Impacts of urban land use and land cover changes on land surface temperature in Kuala Lumpur, Malaysia
    Asnawi, Nur Hakimah
    Choy, Lam Kuok
    Rose, Rosniza Aznie Che
    Widiawaty, Millary Agung
    Dede, Moh.
    Muhammad, Farah Nuralissa
    GEOGRAFIA-MALAYSIAN JOURNAL OF SOCIETY & SPACE, 2024, 20 (01): : 99 - 120
  • [33] Quantifying the influence of updated land use/land cover in simulating urban climate: A case study of Metro Manila, Philippines
    Llorin, Alyssa Gewell A.
    Olaguera, Lyndon Mark P.
    Magnaye, Angela Monina T.
    Cruz, Faye Abigail T.
    Dado, Julie Mae B.
    Gozo, Emilio C.
    Topacio, Xzann Garry Vincent M.
    Uy, Sherdon Nino Y.
    Simpas, James Bernard B.
    Villarin, Jose Ramon T.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (12) : 9941 - 9960
  • [34] Quantifying Impacts of Land-Use/Cover Change on Urban Vegetation Gross Primary Production: A Case Study of Wuhan, China
    Liu, Shishi
    Du, Wei
    Su, Hang
    Wang, Shanqin
    Guan, Qingfeng
    SUSTAINABILITY, 2018, 10 (03)
  • [35] Simulating future urban growth and land use/land cover change for a city
    Abdi, Badeea Shafeeq
    Oguz, Hakan
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2020, 21 (04) : 373 - 392
  • [36] Spatiotemporal Impacts of Urban Land Use/Land Cover Changes on Land Surface Temperature: A Comparative Study of Damascus and Aleppo (Syria)
    Mohamed, Mohamed Ali
    ATMOSPHERE, 2021, 12 (08)
  • [37] Machine-Learning-Algorithm-Based Prediction of Land Use/Land Cover and Land Surface Temperature Changes to Characterize the Surface Urban Heat Island Phenomena over Harbin, China
    Li, Shiyu
    Yang, Xvdong
    Cui, Peng
    Sun, Yiwen
    Song, Bingxin
    LAND, 2024, 13 (08)
  • [38] Spatiotemporal Influence of Land Use/Land Cover Change Dynamics on Surface Urban Heat Island: A Case Study of Abuja Metropolis, Nigeria
    Koko, Auwalu Faisal
    Yue, Wu
    Abubakar, Ghali Abdullahi
    Alabsi, Akram Ahmed Noman
    Hamed, Roknisadeh
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (05)
  • [39] Simulating influences of land use/land cover composition and configuration on urban heat island using machine learning
    Liu, Yong
    An, Zihao
    Ming, Yujia
    SUSTAINABLE CITIES AND SOCIETY, 2024, 108
  • [40] Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh
    Ahmed, Bayes
    Kamruzzaman, Md
    Zhu, Xuan
    Rahman, Md Shahinoor
    Choi, Keechoo
    REMOTE SENSING, 2013, 5 (11): : 5969 - 5998