研究从经济社会、资源环境、生态的角度,通过改进系统工程中的集对分析方法,构建指标体系,对我国沿海地区主要省(市)滨海旅游业的生态创新以及其分项要素的总体水平进行综合测度.在评价结果的基础上,运用地理加权回归模型,分析滨海旅游生态创新水平的影响因素及其空间差异.结果 表明我国沿海省(市)滨海旅游生态创新的总体水平较低,并呈现出明显的空间差异性;就其影响因素而言,工业污染治理投资、海洋科研经费收入、旅游总收入占第三产业的比重、旅游企业个数与生态创新水平呈正相关关系,旅游总收入及旅游总人数与生态创新水平呈负相关关系;影响因素的空间差异方面,旅游总收入、旅游收入占第三产业比重、海洋科研经费收入、旅游总人数对生态创新水平的影响程度由南到北递增,工业污染治理投资、旅游企业个数的影响程度大致形成以东部为核心,向南北扩散的趋势.

Coastal reclamation has been regarded as an effective means to provide space for urban expansion and industrial development in China, given its low cost and flexible utilization. The Chinese government has issued a series of policies to boost or slow down reclamation to cope with varied conditions of domestic and international environments for China's economic development and marine environment problems. This paper aims to improve Chinese sea use management policy by analyzing reclamation area, the introduction of policies, and the impacts of these policies on reclamation from 2002 to 2018. First, statistical data and remote sensing data are used for analyzing the reclamation area and the construction area of the reclaimed land in the coastal areas of China. The results show that China reclaimed 2976.1 km 2 from the sea, of which 910.8 km(2) was constructed for urbanization and industrialization during 2002-2018. Whilst the statistical data from the Sea-Use Bulletin show that 1449.4 km(2) reclamation area was issued sea area user's right. The results indicate an increased trend of annual reclamation area from 2002 to 2015, a relatively stable annual construction area, and a declining construction ratio. Second, we connect the reclamation change and the change of the policy system following a review on the sea use management policy system. The analysis demonstrates that the stability and predictability of the policy system need improvement. Special efforts should be devoted to reinforcing law enforcement supervision and the concept of sustainable sea use should be advocated.

Rapid urban expansion usually leads to the change of land use pattern and poses a severe threat to land resources with high ecological value, it is necessary to model the impact of urban development on surrounding environment. The aim of our study is to construct an effective model of simulating urban expansion with protecting ecological land, which could provide a decision-making reference for sustainable development of the city and promote the rational distribution of land resources. In this paper, we proposed an urban expansion model based on land ecological suitability (LES). The proposed model involves using the minimum cumulative resistance (MCR) method to evaluate and visualize the land ecological suitability of the study area. Next, the random forest (RF) algorithm and cellular automaton (CA) are combined to construct an RF-CA to simulate future growth of urban land. As a case study, the RF-CA was used to simulate the distribution of urban land in Changzhou City, eastern China in 2020. The LES evaluation results were then used as the basis of optimizing urban expansion and restrained the excessive sprawl of the city, which could reduce encroachment on land resources such as waterbody and farmland, thereby increasing the ecosystem services value (ESV) by 50.24 million RMB(1 RMB = 0.15 US dollar). It was observed that our model could reduce the spatial conflict between urban expansion and ecological land protection effectively. Therefore, we believe that the results of our case study can contribute to more reasonable urban planning.