Literature DB >> 28894965

Quantifying the effects of LUCCs on local temperatures, precipitation, and wind using the WRF model.

Lishu Lian1, Baofu Li2,3, Yaning Chen4, Cuicui Chu1, Yanhua Qin1.   

Abstract

Land use/cover changes (LUCCs) are an important cause of regional climate changes, but the contribution of LUCCs to regional climate changes is not clear. In this study, the Weather Research and Forecasting (WRF) model and statistical methods were used to investigate changes in meteorologic variables in January, April, July, and October 2013 due to local LUCCs from 1990 to 2010 in southern Shandong province, China. The results indicate that the WRF model simulates temperatures in the region well, with high correlation coefficients (0.86-0.97, p < 0.001) between the modeled and measured values. The model simulates precipitation less well, with correlation coefficients of 0.41-0.91, but they are all at statistically significant levels, with p < 0.05. During the 20-year period, the LUCCs in the study area consisted mainly of conversions from dry land to urbanized land (747.3 km2) and bare/sparse vegetation (132.4 km2). The LUCCs caused a 0.16 °C temperature increase in January and October and 0.01 and 0.18 °C temperature decreases in April and July, respectively. The range of temperature changes over mixed forest and water bodies due to the LUCCs was wide (0.39-1.31 °C) and was narrower over deciduous broadleaf forest and wetland (0.01 to 0.06 °C). The LUCCs did not change the precipitation greatly in January, April, and October but did affect the precipitation in July substantially, causing a decrease of 23.71 mm. The LUCCs did not affect wind speed and direction substantially during these four months: average wind speeds increased by 0.02 and 0.01 m/s in January and October, respectively, and decreased by 0.02 and 0.05 m/s in April and July, respectively. Overall, The LUCCs affected spring temperatures the least and summer precipitation the most.

Keywords:  LUCC; Precipitation; Temperature; WRF model; Wind

Mesh:

Year:  2017        PMID: 28894965     DOI: 10.1007/s10661-017-6204-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

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Authors:  Mehmet Cetin
Journal:  Environ Monit Assess       Date:  2015-09-24       Impact factor: 2.513

2.  Monitoring urban expansion and its effects on land use and land cover changes in Guangzhou city, China.

Authors:  Yanyan Wu; Shuyuan Li; Shixiao Yu
Journal:  Environ Monit Assess       Date:  2015-12-24       Impact factor: 2.513

3.  Spatial driving forces of dominant land use/land cover transformations in the Dongjiang River watershed, Southern China.

Authors:  Changjun Gao; Ping Zhou; Peng Jia; Zhiyong Liu; Long Wei; Huiling Tian
Journal:  Environ Monit Assess       Date:  2016-01-08       Impact factor: 2.513

4.  Afforestation in China cools local land surface temperature.

Authors:  Shu-Shi Peng; Shilong Piao; Zhenzhong Zeng; Philippe Ciais; Liming Zhou; Laurent Z X Li; Ranga B Myneni; Yi Yin; Hui Zeng
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-10       Impact factor: 11.205

  4 in total

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