Zhoushan City in Zhejiang Province is the focus of China's reclamation area, and it also has a great influence on the groundwater quality. Based on the observed data of groundwater level and chloride ion concentra...Zhoushan City in Zhejiang Province is the focus of China's reclamation area, and it also has a great influence on the groundwater quality. Based on the observed data of groundwater level and chloride ion concentration, groundwater quality in the next 6 years in Zhoushan area is predicted and analyzed by using groundwater numerical simulation software GMS. According to the comparison of observed groundwater level and simulated groundwater level at the end time, it is found that the whole water level in the filling area has the small fluctuation, which is within the range of 1 m. And the highest concentration of chloride ion is in the eastern coastal area. The prediction results indicate that there is no obvious trend of sea water with high chloride ion concentration to land. Under the condition of the current groundwater utilization, the groundwater level in Donggang sea area of Zhoushan is stable, and the chloride ion concentration has a slight decrease trend.展开更多
From the perspective of tourism competitiveness,the paper takes 12 island counties of China as the research object,and applies the method of factor analysis to study their competitiveness.The result shows that Putuo a...From the perspective of tourism competitiveness,the paper takes 12 island counties of China as the research object,and applies the method of factor analysis to study their competitiveness.The result shows that Putuo and Dinghai are more competitive while Pingtan and Nan'ao are less competitive.Finally,the 12 island counties are divided into four styles:first-class competitive county (Putuo),seond-class competitive counties (Dinghai,Yuhuan),third-class competitive counties (Chongming,Daishan,Changdao,Changhai and Shengsi),fourth-class competitive counties (Dongshan,Dongtou,Pingtan and Nan'ao) by cluster analysis.The classification of island counties is to clear their relative position,then to promote their development.展开更多
Recently designated as a new special economic zone in China,Zhoushan Archipelago is going through a rapid land use change that is expected to have significant impacts on ecosystem services.However,there is no baseline...Recently designated as a new special economic zone in China,Zhoushan Archipelago is going through a rapid land use change that is expected to have significant impacts on ecosystem services.However,there is no baseline of ecosystem service value(ESV)of the Zhoushan Archipelago up to date,making it impossible to assess any impacts of land use changes.In this study,we adopted the concept of“equivalent value per unit area of ecosystem services in China”and computed the ESV for 2006,2012,and 2020 of a representative district,Dinghai,on the Zhoushan Archipelago.We then analyzed the spatial and temporal patterns of land use changes and their impacts on ESV.The results indicated that the ESV of Dinghai District declined by 59.3 M Chinese yuan($9.5 M US dollars)from 2006 to 2012 and would further decrease by an additional 30.9 M yuan($5 M US dollars)by 2020 according to its planned land uses.These declines in ESV were primarily due to increases in buildup areas and losses in wetland,farmland,and water areas.The results imply that more attention should be paid to controlling urban growth and protecting coastal wetlands in order to preserve valuable ecosystem services of the Archipelago.展开更多
针对区域经济发展调查中传统方法费时费力、数据缺乏客观性的问题,从区域经济发展引起地球表面形态变化的角度出发,借助卫星遥感技术优势,构建模型,以便更加客观、真实地了解区域经济发展形势。首先,基于卫星遥感数据,获取不同时相地球...针对区域经济发展调查中传统方法费时费力、数据缺乏客观性的问题,从区域经济发展引起地球表面形态变化的角度出发,借助卫星遥感技术优势,构建模型,以便更加客观、真实地了解区域经济发展形势。首先,基于卫星遥感数据,获取不同时相地球表面形态变化和土地利用信息;其次,分析各土地利用类型与各区域经济指标之间的相关性,优选敏感因子;然后,结合社会调查数据,构建区域经济发展模型;最后,进行精度评价,以验证模型的有效性和适用性。以舟山群岛为例的研究结果表明,建设用地面积是与各经济指标相关性最强的敏感因子,与国内生产总值(gross domestic product,GDP)、第一产业总值(primary industry product,PIP)、第二产业总值(secondary industry product,SIP)和第三产业总值(tertiary industry product,TIP)的相关系数分别为0.9591,0.9390,0.9546和0.9573;遥感数据与社会调查数据相结合的区域经济发展模型简单清晰,精度较高,平均决定系数R^2为0.9795。本研究为区域经济发展预测和经济数据纠偏提供了一种新思路,为观测区域经济活动及其影响提供了一种新途径,对于了解区域经济发展,调整和修正统计数据具有实用意义。展开更多
基金supported by monitoring and evaluation of groundwater environment in Donggang reclamation area,Zhoushan(42932016001)
文摘Zhoushan City in Zhejiang Province is the focus of China's reclamation area, and it also has a great influence on the groundwater quality. Based on the observed data of groundwater level and chloride ion concentration, groundwater quality in the next 6 years in Zhoushan area is predicted and analyzed by using groundwater numerical simulation software GMS. According to the comparison of observed groundwater level and simulated groundwater level at the end time, it is found that the whole water level in the filling area has the small fluctuation, which is within the range of 1 m. And the highest concentration of chloride ion is in the eastern coastal area. The prediction results indicate that there is no obvious trend of sea water with high chloride ion concentration to land. Under the condition of the current groundwater utilization, the groundwater level in Donggang sea area of Zhoushan is stable, and the chloride ion concentration has a slight decrease trend.
基金supported by a grant from Shandong Social Science Planning Project in 2010 (Grant No:10CJGJ22)Ocean University of China Young Teachers Special Fund Project in 2010 (Grant No:201013070)
文摘From the perspective of tourism competitiveness,the paper takes 12 island counties of China as the research object,and applies the method of factor analysis to study their competitiveness.The result shows that Putuo and Dinghai are more competitive while Pingtan and Nan'ao are less competitive.Finally,the 12 island counties are divided into four styles:first-class competitive county (Putuo),seond-class competitive counties (Dinghai,Yuhuan),third-class competitive counties (Chongming,Daishan,Changdao,Changhai and Shengsi),fourth-class competitive counties (Dongshan,Dongtou,Pingtan and Nan'ao) by cluster analysis.The classification of island counties is to clear their relative position,then to promote their development.
基金This research was financially supported by the National One-Thousand-Talent Program,the National Natural Science Foundation of China(no.41401404)Preparation of this manuscript was partially supported by the Fundamental Research Funds for the Central Universities(2015QNA4039)the Asian Pacific Network funded project(ARCP2013-FP25-Wu).
文摘Recently designated as a new special economic zone in China,Zhoushan Archipelago is going through a rapid land use change that is expected to have significant impacts on ecosystem services.However,there is no baseline of ecosystem service value(ESV)of the Zhoushan Archipelago up to date,making it impossible to assess any impacts of land use changes.In this study,we adopted the concept of“equivalent value per unit area of ecosystem services in China”and computed the ESV for 2006,2012,and 2020 of a representative district,Dinghai,on the Zhoushan Archipelago.We then analyzed the spatial and temporal patterns of land use changes and their impacts on ESV.The results indicated that the ESV of Dinghai District declined by 59.3 M Chinese yuan($9.5 M US dollars)from 2006 to 2012 and would further decrease by an additional 30.9 M yuan($5 M US dollars)by 2020 according to its planned land uses.These declines in ESV were primarily due to increases in buildup areas and losses in wetland,farmland,and water areas.The results imply that more attention should be paid to controlling urban growth and protecting coastal wetlands in order to preserve valuable ecosystem services of the Archipelago.
文摘针对区域经济发展调查中传统方法费时费力、数据缺乏客观性的问题,从区域经济发展引起地球表面形态变化的角度出发,借助卫星遥感技术优势,构建模型,以便更加客观、真实地了解区域经济发展形势。首先,基于卫星遥感数据,获取不同时相地球表面形态变化和土地利用信息;其次,分析各土地利用类型与各区域经济指标之间的相关性,优选敏感因子;然后,结合社会调查数据,构建区域经济发展模型;最后,进行精度评价,以验证模型的有效性和适用性。以舟山群岛为例的研究结果表明,建设用地面积是与各经济指标相关性最强的敏感因子,与国内生产总值(gross domestic product,GDP)、第一产业总值(primary industry product,PIP)、第二产业总值(secondary industry product,SIP)和第三产业总值(tertiary industry product,TIP)的相关系数分别为0.9591,0.9390,0.9546和0.9573;遥感数据与社会调查数据相结合的区域经济发展模型简单清晰,精度较高,平均决定系数R^2为0.9795。本研究为区域经济发展预测和经济数据纠偏提供了一种新思路,为观测区域经济活动及其影响提供了一种新途径,对于了解区域经济发展,调整和修正统计数据具有实用意义。
