Soil erosion is an important ecological and environmental problem in the Yellow River Basin (YRB), which restricts the sustainable development of the YRB. Based on the Revised Universal Soil Loss Equation (RUSLE) and Optimal Parameters-based Geographical Detector (OPGD), this study discusses the multiscale spatiotemporal characteristics of soil erosion and its influencing factors in the YRB. The results show that: (1) The average values of soil-erosion modulus of the YRB in 2000, 2005, 2010, 2015, and 2020 was 1877.69, 1641.59, 1485.25, 844.84, and 832.07 t·km⁻²·a⁻¹, respectively, and the areas with severe soil erosion are mainly concentrated in the three provinces of Gansu, Shanxi and Shaanxi, showing a belt-like trend in the northeast-southwest as a whole. (2) From 2000 to 2020, the q value of soil erosion influencing factors in the YRB showed a downward trend. From the YRB scale to the county scale, the q value of the influencing factors showed an increasing trend. Among them, fractional vegetation cover (FVC), landform type, and LU/LC have strong explanatory power for soil erosion in the YRB. FVC explains about 15% of soil erosion, and the interaction between FVC and landform explains up to 35% of soil erosion. (3) The ability of human activities (LU/LC, FVC) to influence soil erosion is increasing, and this feature is more pronounced at small scales. The conclusion of this study can be summarized as managers should pay attention to the role of human activities in the YRB for soil erosion, especially at small scales, in order to formulate lower-cost and targeted soil and water conservation measures.

Liu, C.; Chang, J.; Chen, M., and Zhang, T., 2020. Dynamic monitoring and its influencing factors analysis of coastline in the Laizhou Bay since 1985. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 18–22. Coconut Creek (Florida), ISSN 0749-0208.It is significant to extract coastline quickly and grasp the real-time changes of coastline for coastal management and planning protection. Based on nine temporal remote sensing images since 1985, combined with GIS and remote sensing technology, the dynamic change information of the coastlines in the Laizhou Bay was obtained. The results showed that the total length of the coastline in the Laizhou Bay increased from 460.33 km2 to 686.55 km2, and the coastline has advanced 672.60 km2 towards the Bohai Sea. The coastline was changing to artificial coastline in general, and it was mainly attributed to natural factors and human activities from the perspective of the factors affecting the coastline change. Compared with the influence of human activities, natural factors had less influence on the coastline change of the Laizhou Bay.

Zhang, T.; Chang, J.; Ma, Y.; Sun, Y., and Liu, C., 2020. Study on the evolution characteristics of coastal wetlands of Bohai Sea in Shandong Province under the influence of human activities. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 28–32. Coconut Creek (Florida), ISSN 0749-0208.Using the coastal area of Bohai Sea in Shandong Province as the study area, the evolution law of coastal wetlands under the influence of human activities is discussed in this paper. The results are as follows. (1) The wetland area in the study area increased from 1990 to 2019, mainly because of the transformation from forest-grassland to a constructed wetland. The area of constructed wetlands increased significantly, whereas the area of natural wetlands decreased significantly. (2) The overall evolution rate of land use was on the rise, with the average value rising from 21.58 in 1990–2000 to 32.01 in 2010–19. The evolution rate from natural wetland to constructed wetland in the western region was generally faster than the rate in the eastern region. (3) The intensity of human activities in the region was different, and the dominant role of wetlands is inversely proportional to the intensity. The areas with higher intensity of human activities increased, whereas the areas with lower intensity of human activities decreased. (4) During the study period, with the increasing of the area of salt fields and the transformation of natural wetlands to other types of land use, the area of wetlands in higher intensity areas was small and increased, whereas in lower intensity areas it was reduced.

From the perspective of economy and comprehensive development level, this study used the gravity model, spatial autocorrelation analysis and principal component analysis to quantitatively measure the spatiotemporal evolution pattern of multi-centers at county level in Shandong Province. The results show that the economic ties among counties in Shandong Province are getting closer and closer. By 2016, Jinan-Zibo-Qingdao and Jining, Zaozhuang have basically formed three strong economic ties. The amount of counties with high-high GDP and low-low GDP are decreasing, while the amount of counties with lowhigh GDP are increasing. The gap between the density of output value and the level of economic development is narrowing, showing a trend of multicenter development. In the future development, Shandong Province should strengthen the integration of resources within the province, form a reasonable industrial division of labor, strengthen the cooperation among enterprises, promote the regional integration construction, and realize the multi-center spatial development model of cooperation.