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Lucang WANG is currently a professor and doctoral supervisor of the College of Geography and Environmental Science of Northwest normal University. The research direction is mainly urban development planning.
Advancements in the integrated development of the Yangtze River Delta are changing the structure and function of the surface thermal landscape and triggering a series of ecological and environmental problems. Therefore, examining the spatiotemporal differentiation characteristics and evolution laws of this land surface thermal landscape has great theoretical and practical significance in the context of optimizing functional zoning and realizing the harmonious development of the economy, society and nature. The paper uses the LST (land surface temperature) data retrieved by MODIS (MOD11A2) remote sensing satellites in 2007, 2010, 2013, 2016 and 2019 to extract a land surface thermal rating map of the Yangtze River Delta region, and to analyze the spatiotemporal differentiation in the land surface thermal landscape, combining of the land surface thermal landscape strip profile and thermal landscape pattern indices. The results show that the LST in the Yangtze River Delta region has increased in the past 12 years, the proportion of middle-, sub-high- and high-temperature zones increased by 33.42%, and the high-temperature zone has gradually extended into inland areas. The high-temperature zones in the areas surrounding core cities such as Shanghai, Nanjing, and Hangzhou have expanded. The corridor effect of thermal changes on the surface is obvious. The degree of aggregation in the lower-temperature areas has gradually decreased. The degree of aggregation in the higher-temperature regions has increased. The patch types of thermal landscape pattern increase, and the distribution of landscape area among various types tends to be even. this trend is most significant in optimized development region.
Tong Wu; Lucang Wang; Haiyang Liu. Spatiotemporal Differentiation of Land Surface Thermal Landscape in Yangtze River Delta Region, China. Sustainability 2021, 13, 8880 .
AMA StyleTong Wu, Lucang Wang, Haiyang Liu. Spatiotemporal Differentiation of Land Surface Thermal Landscape in Yangtze River Delta Region, China. Sustainability. 2021; 13 (16):8880.
Chicago/Turabian StyleTong Wu; Lucang Wang; Haiyang Liu. 2021. "Spatiotemporal Differentiation of Land Surface Thermal Landscape in Yangtze River Delta Region, China." Sustainability 13, no. 16: 8880.
The intensification of global urbanization has exacerbated the negative impact of atmospheric environmental factors in urban areas, thus threatening the sustainability of future urban development. In order to ensure the sustainability of urban atmospheric environments, exploring the changing laws of urban air quality, identifying highly polluted areas in cities, and studying the relationship between air quality and land use have become issues of great concern. Based on AQI data from 340 air quality monitoring stations and urban land use data, this paper uses inverse distance weight (IDW), Getis-Ord Gi*, and a negative binomial regression model to discuss the spatiotemporal variation of air quality in the main urban area of Lanzhou and its relationship with urban land use. The results show that urban air quality has characteristics of temporal and spatial differentiation and spatially has characteristics of agglomeration of cold and hot spots. There is a close relationship between urban land use and air quality. Industrial activities, traffic pollution, and urban construction activities are the most important factors affecting urban air quality. Green spaces can reduce urban pollution. The impact of land use on air quality has a seasonal effect.
Cuixia Yan; Lucang Wang; Qing Zhang. Study on Coupled Relationship between Urban Air Quality and Land Use in Lanzhou, China. Sustainability 2021, 13, 7724 .
AMA StyleCuixia Yan, Lucang Wang, Qing Zhang. Study on Coupled Relationship between Urban Air Quality and Land Use in Lanzhou, China. Sustainability. 2021; 13 (14):7724.
Chicago/Turabian StyleCuixia Yan; Lucang Wang; Qing Zhang. 2021. "Study on Coupled Relationship between Urban Air Quality and Land Use in Lanzhou, China." Sustainability 13, no. 14: 7724.
High-intensity land use has led to water resource imbalance and land degradation in oasis regions, which pose a great threat to ecological security. Optimization of land use patterns is crucial to ensuring the rational distribution of water and land resources and improving the stability of oasis ecosystems. The purpose of this study is to spatially allocate land use activities to more suitable regions. In this study, we first evaluated the land ecological suitability (LES) in Ganzhou District, a typical oasis region. Then, the LES evaluation results were embedded in an integrated CA–Markov model based on multiple criteria evaluation (MCE) and multi–objective land allocation (MOLA) to simulate and optimize land use patterns for the year 2025 under two scenarios, i.e., Business as Usual (BAU) and Land Ecological Optimization (LEO). The results revealed that the optimized land use pattern generated by LES was more reasonable. The growth rate of construction land was restricted, and a slightly increased area of construction land mainly occupied unused land. Farmland area had a decreasing trend, and was mainly converted to grassland. Moreover, the woodland and water areas had increasing trends. This study can serve as a scientific reference for planners and policy makers in formulating land use planning and land use resource management strategies in oasis regions.
Qianguo Li; Lucang Wang; Hafiza Nayab Gul; Dan Li. Simulation and optimization of land use pattern to embed ecological suitability in an oasis region: A case study of Ganzhou district, Gansu province, China. Journal of Environmental Management 2021, 287, 112321 .
AMA StyleQianguo Li, Lucang Wang, Hafiza Nayab Gul, Dan Li. Simulation and optimization of land use pattern to embed ecological suitability in an oasis region: A case study of Ganzhou district, Gansu province, China. Journal of Environmental Management. 2021; 287 ():112321.
Chicago/Turabian StyleQianguo Li; Lucang Wang; Hafiza Nayab Gul; Dan Li. 2021. "Simulation and optimization of land use pattern to embed ecological suitability in an oasis region: A case study of Ganzhou district, Gansu province, China." Journal of Environmental Management 287, no. : 112321.
The development of tourism is based on tourism flow and studying a tourism flow network can help to elucidate its mechanism of operation. Transportation network is the path to realize the spatial displacement of tourism flow. This study used “Tencent migration” big data to explore the spatial distribution characteristics and rules of tourism flow in China, providing suggestions for the development of tourism. The results demonstrate that the 361 cities studied can be divided into three types: destination-oriented, tourist-origin-oriented, and destination-oriented and tourist-origin-oriented. There are significant differences in the quantity of flow, the area of concentration, and the factors affecting the flow in the three types of cities. The larger the flow of tourism between cities, the higher the network level, and the wider the network range. The high-level nodes are closely related, while the peripheral nodes are more widely distributed, with weak attractiveness and inconvenient traffic, forming a “core-edge” structure. Different network patterns are established for different modes of transportation. The degree of response of different types of transportation to distance is the main factor influencing the network patterns of diverse paths. These findings have practical implications for the choice of appropriate travel destinations and transportation modes for tourists.
Shanshan Wu; Lucang Wang; Haiyang Liu. Study on Tourism Flow Network Patterns on May Day Holiday. Sustainability 2021, 13, 947 .
AMA StyleShanshan Wu, Lucang Wang, Haiyang Liu. Study on Tourism Flow Network Patterns on May Day Holiday. Sustainability. 2021; 13 (2):947.
Chicago/Turabian StyleShanshan Wu; Lucang Wang; Haiyang Liu. 2021. "Study on Tourism Flow Network Patterns on May Day Holiday." Sustainability 13, no. 2: 947.
Changes in land use/land cover caused by urban expansion have changed the soil respiration conditions and surface vegetation, which, in turn, affect carbon storage in an ecosystem. Carbon storage is often used as an indicator of the state of ecosystem services in the environment, which provide fundamental support to the human population. Therefore, we predicted the impacts of different development models on future carbon storage in the Yangtze River Delta (YRD) region by analyzing the spatiotemporal evolution patterns and driving factors of carbon storage from 1990 to 2015. Taking the YRD urban agglomeration as a case study, the Integrated Valuation of Ecosystem Services and Trade-offs and future land use simulation models were used to simulate and predict carbon storage in 2050 under four development scenarios based on the patterns in 2015. The results showed that the YRD urban agglomeration experienced carbon storage losses of 1210.54 Tg during 1990–2015, which were driven by socioeconomic factors rather than natural causes. The region is expected to continue experiencing losses of 783, 638, 697, and 621 Tg from 2015-2050 under the baseline, slow, fast, and harmonious development scenarios, respectively. Our study presents the past spatiotemporal evolution of carbon stocks and the impact of different urbanization development models on ecosystem carbon storage, and can provide a reference for decision-making and stakeholders to determine regional development models and improve urban agglomeration management strategies.
Jing Gao; Lucang Wang. Embedding spatiotemporal changes in carbon storage into urban agglomeration ecosystem management — A case study of the Yangtze River Delta, China. Journal of Cleaner Production 2019, 237, 117764 .
AMA StyleJing Gao, Lucang Wang. Embedding spatiotemporal changes in carbon storage into urban agglomeration ecosystem management — A case study of the Yangtze River Delta, China. Journal of Cleaner Production. 2019; 237 ():117764.
Chicago/Turabian StyleJing Gao; Lucang Wang. 2019. "Embedding spatiotemporal changes in carbon storage into urban agglomeration ecosystem management — A case study of the Yangtze River Delta, China." Journal of Cleaner Production 237, no. : 117764.
Although China’s urban floating population is mainly concentrated in developed cities, from the central and western cities to the eastern developed cities, but the characteristics of the floating population in different cities are significantly different. This paper systematically investigates the spatiotemporal characteristics and influencing factors of the floating population in different levels of cities. The results show that the regional imbalance to further strengthen, accumulation and dispersion trend has become increasingly obvious, liquidity is positively correlated and city level scale, and urban agglomeration and the core city is still polarization center of floating population. Flow range is closely related to urban hierarchy: the higher the intra-urban grade, the more tend to inter-provincial flow; the lower the city grade, the more tend to intra-urban mobility. Short-term (1-2 years) and long-term (more than 7 years) flow-time coexist. The short-term liquidity increases with the city grade, and the long-term liquidity decreases with the city level. Farmers are still the main body of the floating population. Younger age, lower education level, low-skilled, high gender ratio employees are the most basic demographic characteristics of the floating population, although there are differences between different cities. The main reason for affecting the floating population is seeking jobs and doing business.
Lucang Wang; Caixia Xue. Spatio-temporal characteristics and influencing factors of urban floating population in China from 2011 to 2015. Chinese Journal of Population Resources and Environment 2019, 17, 359 -373.
AMA StyleLucang Wang, Caixia Xue. Spatio-temporal characteristics and influencing factors of urban floating population in China from 2011 to 2015. Chinese Journal of Population Resources and Environment. 2019; 17 (4):359-373.
Chicago/Turabian StyleLucang Wang; Caixia Xue. 2019. "Spatio-temporal characteristics and influencing factors of urban floating population in China from 2011 to 2015." Chinese Journal of Population Resources and Environment 17, no. 4: 359-373.