Publications by authors named "Lucang Wang"

Several major changes in China's land policy, economic system, and development strategy have contributed to the continuous transformation of rural patterns and urban-rural relations. The deepening of urban-rural interaction has led to an increasing complexity of rural territorial functions, and the importance of territorial multifunctional mechanisms in the dynamic process of rural development in China has been highlighted. However, the current choice of a rural development model lacks comprehensive thinking that combines the functional mechanisms of rural areas with the elements of the development environment.

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The Qinghai-Tibet Plateau is the largest ecological barrier and one of the most vulnerable areas of the ecological environmental system. However, the increasing frequency of human activities in the Qinghai-Tibet Plateau has led to strong interference. Residential areas are the main places in which human activities are carried out and, as such, can effectively reflect the intensity of activities.

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After the prevailing of the COVID-19 pandemic, urban communities around the world took initiatives to bring their cities back to life. In this research, 45 indicators and 55 elements were selected to make comparisons between urban communities in Lanzhou, China and Sarajevo, Bosnia and Herzegovina from five dimensions of social resilience, economic resilience, institutional resilience, infrastructural resilience, and community capital resilience. At the same time, the ArcGIS platform tool was used for spatial interpolation analysis.

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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.

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The purpose of this study was to identify the concentrations, sources, and potential ecological and health risks of heavy metals in soils from a typical industrial area in Shanghai, China. A total of 28 surface soil samples were collected and analyzed for As, Cd, Cr, Cu, Pb, Ni, Zn, and Hg from the BAO steel industry in June and July 2016. Classic multivariate statistical and geostatistical analysis methods were used to detect the sources of heavy metals, and the ecological risk index (RI) and hazard index (HI) were calculated to assess the potential ecological and health risks.

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