LAND USE AND LAND COVER CHANGE IN EAST ASIA AND ITS POTENTIAL IMPACTS ON MONSOON CLIMATE

2008 ◽  
pp. 149-161
Author(s):  
CONGBIN FU ◽  
SHUYU WANG
Keyword(s):  
Land Use ◽  
Land Cover ◽  
East Asia ◽  
Land Cover Change ◽  
Monsoon Climate

scholarly journals Impact of future land use and land cover change on temperature projections over East Asia

2018 ◽  
Vol 52 (11) ◽  
pp. 6475-6490 ◽  
Author(s):  
Xiaorui Niu ◽  
Jianping Tang ◽  
Shuyu Wang ◽  
Congbin Fu
Keyword(s):  
Land Use ◽  
Land Cover ◽  
East Asia ◽  
Land Cover Change

scholarly journals The Impacts of Land-Use and Land-Cover Change on Tropospheric Temperatures at Global and Regional Scales

2016 ◽  
Vol 20 (7) ◽  
pp. 1-23 ◽  
Author(s):  
Weiyue Zhang ◽  
Zhongfeng Xu ◽  
Weidong Guo
Keyword(s):  
Land Use ◽  
North America ◽  
Land Cover ◽  
East Asia ◽  
Land Cover Change ◽  
Air Temperature ◽  
North Pacific Ocean ◽  
Sensible Heat Flux ◽  
Tropospheric Temperature ◽  
Upper Troposphere

Abstract The impacts of land-use and land-cover change (LULCC) on tropospheric temperatures are investigated in this study using the fully coupled Community Earth System Model. Two simulations are performed using potential and current vegetation cover. The results show that LULCC can induce detectable changes in the tropospheric air temperature. Although the influence of LULCC on tropospheric temperature is weak, a significant influence can still be found below 300 hPa in summer over land. Compared to the global-mean temperature change, LULCC-induced changes in the regional-mean air temperature can be 2–3 times larger in the middle–upper troposphere and approximately 8 times larger in the lower troposphere. In East Asia and South Asia, LULCC is shown to produce significant decreases (0.2° to 0.4°C) in air temperature in the middle–upper troposphere in spring and autumn due to the largest decrease in the latent heat release from precipitation. In Europe and North America, the most significant tropospheric cooling occurs in summer, which can be attributed to the significant decrease in the absorbed solar radiation and sensible heat flux during this season. In addition to local effects, LULCC also induces nonlocal responses in the tropospheric air temperature that are characterized by significant decreases over the leeward sides of LULCC regions, which include East Asia–western North Pacific Ocean, Mediterranean Sea–North Africa, North America–Atlantic Ocean, and North America–eastern Pacific. Cooling in the leeward sides of LULCC regions is primarily caused by an enhanced cold advection induced by LULCC.

Impact of land use land cover change on East Asia

2020 ◽  
Author(s):  
Ui-Yong Byun ◽  
Eun-Chul Chang
Keyword(s):  
Land Use ◽  
Land Cover ◽  
East Asia ◽  
Land Cover Change ◽  
Land Surface ◽  
Temporal Change ◽  
Weather Prediction ◽  
Regional Climate ◽  
Land Use Land Cover ◽  
The Impact

<p>  Many socioeconomic changes have occurred in East Asia in recent decades. Due to the economic structural change and economic growth, a large population has been concentrated in the cities, resulting in rapid urban expansion. Besides, the surrounding agricultural land for food resources has also expanded, and deforestation has also been active at the same time. These land use/land cover change (LULCC) significantly alter the energy properties of the land surface. Although land surface characteristics that have vigorous variability over time, it is common in a numerical model to treat the information as a static condition. In a numerical weather prediction model aiming at short-term forecasting, the ground characteristics without temporal change are valid; however, in the numerical climate model integrated over several decades, consideration of such variability is essential.<br>   In this study, we examine the impact of LULCC using the GRIMs (Global/Regional Integrated Model system), which covered regional climate simulation. Temporal change LULC over East Asia, especially cropland and urban, is constructed based on Land Use Harmonization data. Through the comparison of sensitivity experiments considered the LULCC overtime or not, it is confirmed that land surface effect on regional climate change over East Asia. </p>

Analysis of Land Use/Land Cover Change in Yangzhou City Based on CLUE-S Model

2011 ◽  
Vol 13 (5) ◽  
pp. 695-700
Author(s):  
Zhihua TANG ◽  
Xianlong ZHU ◽  
Cheng LI
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
S Model

scholarly journals An Automatic and Operational Method for Land Cover Change Detection Using Spatiotemporal Analysis of MODIS Data: A Northern Ontario (Canada) Case Study

2021 ◽  
Vol 10 (5) ◽  
pp. 325
Author(s):  
Ima Ituen ◽  
Baoxin Hu
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Basic Unit ◽  
Operational Method ◽  
Northern Ontario ◽  
Modis Data ◽  
Forest Fire Management ◽  
Land Cover Change Detection

Mapping and understanding the differences in land cover and land use over time is an essential component of decision-making in sectors such as resource management, urban planning, and forest fire management, as well as in tracking of the impacts of climate change. Existing methods sometimes pose a barrier to the effective monitoring of changes in land cover and land use, since a threshold parameter is often needed and determined based on trial and error. This study aimed to develop an automatic and operational method for change detection on a large scale from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Super pixels were the basic unit of analysis instead of traditional individual pixels. T2 tests based on the feature vectors of temporal Normalized Difference Vegetation Index (NDVI) and land surface temperature were used for change detection. The developed method was applied to data over a predominantly vegetated area in northern Ontario, Canada spanning 120,000 sq. km from 2001–2016. The accuracies ranged between 78% and 88% for the NDVI-based test, from 74% to 86% for the LST-based test, and from 70% to 86% for the joint method compared with manual interpretation. Our proposed method for detecting land cover change provides a functional and viable alternative to existing methods of land cover change detection as it is reliable, repeatable, and free from uncertainty in establishing a threshold for change.

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