Based on the meteorological data of 12 weather stations in the east section of silk road from 1971 to 2005, such as average monthly temperature, relative humidity, wind speed and sunshine duration, its climatic touris...Based on the meteorological data of 12 weather stations in the east section of silk road from 1971 to 2005, such as average monthly temperature, relative humidity, wind speed and sunshine duration, its climatic tourism comfort was analyzed by adopting temperature-humidity index, wind-chill index and index of cloth. The results showed that the most comfortable month for travelling in this region is May and September. From east to west, the climatic comfort of such a section is decreasing. The most suitable tourism season is summer, followed by autumn and spring, the least suitable season is winter.展开更多
Accurate wetland delineation is the basis of wetland definition and mapping, and is of great importance for wetland management and research. The Zoige Plateau on the Qinghai-Tibet Plateau was used as a research site f...Accurate wetland delineation is the basis of wetland definition and mapping, and is of great importance for wetland management and research. The Zoige Plateau on the Qinghai-Tibet Plateau was used as a research site for research on alpine wetland delineation. Several studies have analyzed the spatiotemporal pattern and dynamics of these alpine wetlands, but none have addressed the issues of wetland boundaries. The objective of this work was to discriminate the upper boundaries of alpine wetlands by coupling ecological methods and satellite observations. The combination of Landsat 8 images and supervised classification was an effective method for rapid identification of alpine wetlands in the Zoig6 Plateau. Wet meadow was relatively stable compared with hydric soils and wetland hydrology and could be used as a primary indicator for discriminating the upper boundaries of alpine wetlands. A slope of less than 4.5° could be used as the threshold value for wetland delineation. The normalized difference vegetation index （NDVI） in 434 field sites showed that a threshold value of 0.3 could distinguish grasslands from emergent marsh and wet meadow in September. The median normalized difference water index （NDWI） of emergent marsh remained more stable than that of wet meadow and grasslands during the period from September until July of the following year. The index of mean density in wet meadow zones was higher than the emergent and upland zones. Over twice the number of species occurred in the wet meadow zone compared with the emergent zone, and close to the value of upland zone. Alpine wetlands in the three reserves in 2014 covered 1175.19 kin2 with a classification accuracy of 75.6%. The combination of ecological methods and remote sensing technology will play an important role in wetland delineation at medium and small scales. The correct differentiation between wet meadow and grasslands is the key to improving the accuracy of future wetland delineation.展开更多
The duration of travel climate comfort degree is an important factor that influences the length of the tourism season and the development of a tourism destination.In this study,we used the monthly average meteorologic...The duration of travel climate comfort degree is an important factor that influences the length of the tourism season and the development of a tourism destination.In this study,we used the monthly average meteorological data for the last 10 years from 46 weather stations in Heilongjiang Province(China)and Primorsky Krai(Russia)to calculate the temperature-humidity index(THI)and wind chill index(WCI)based on ArcGIS software interpolation technology.We obtained the climate comfort charts of the study area with a grid size a 1 km2 grid size,and analyzed the spatial distribution of comfort for each month.The results show the following:1)The THI and WCI of the cross-border region gradually decrease from south to north and from low altitude to high altitude.The annual comfortable climate period is longer when analyzed in terms of the WCI rather\than the THI.2)The travel climate comfortable period of the study area shows significant regional difference and the length of the comfortable period in Heilongjiang Province is 4 to 5 months.Meanwhile,the period in Primorsky Krai decreases from south to north and the length of the comfortable period length in its southern region can reach 7 months.3)The predominant length of the climate comfortable period in the cross-border area is 5 months per year,and it covers 46.6%of the total area,while areas that have a climate comfortable period of 2 months are the most limited,covering less than 0.3%of the area.The results provide a scientific basis for the utilization and development of a meteorological tourism resources and touring arrangements for tourists in the cross-border region between China and Russia.展开更多
基金Supported by"10-people Program"of Gansu Meteorological BureauSocial Welfare Study Program of Special Industry (GYHY200806021)Launched by the Ministry of Science and Technology~~
文摘Based on the meteorological data of 12 weather stations in the east section of silk road from 1971 to 2005, such as average monthly temperature, relative humidity, wind speed and sunshine duration, its climatic tourism comfort was analyzed by adopting temperature-humidity index, wind-chill index and index of cloth. The results showed that the most comfortable month for travelling in this region is May and September. From east to west, the climatic comfort of such a section is decreasing. The most suitable tourism season is summer, followed by autumn and spring, the least suitable season is winter.
基金Under the auspices of National Natural Science Foundation of China(No.41201445,41103041)National Science and Technology Support Program(No.2012BAJ24B01)National High Technology Research and Development Program of China(No.2009AA12200307)
文摘Accurate wetland delineation is the basis of wetland definition and mapping, and is of great importance for wetland management and research. The Zoige Plateau on the Qinghai-Tibet Plateau was used as a research site for research on alpine wetland delineation. Several studies have analyzed the spatiotemporal pattern and dynamics of these alpine wetlands, but none have addressed the issues of wetland boundaries. The objective of this work was to discriminate the upper boundaries of alpine wetlands by coupling ecological methods and satellite observations. The combination of Landsat 8 images and supervised classification was an effective method for rapid identification of alpine wetlands in the Zoig6 Plateau. Wet meadow was relatively stable compared with hydric soils and wetland hydrology and could be used as a primary indicator for discriminating the upper boundaries of alpine wetlands. A slope of less than 4.5° could be used as the threshold value for wetland delineation. The normalized difference vegetation index （NDVI） in 434 field sites showed that a threshold value of 0.3 could distinguish grasslands from emergent marsh and wet meadow in September. The median normalized difference water index （NDWI） of emergent marsh remained more stable than that of wet meadow and grasslands during the period from September until July of the following year. The index of mean density in wet meadow zones was higher than the emergent and upland zones. Over twice the number of species occurred in the wet meadow zone compared with the emergent zone, and close to the value of upland zone. Alpine wetlands in the three reserves in 2014 covered 1175.19 kin2 with a classification accuracy of 75.6%. The combination of ecological methods and remote sensing technology will play an important role in wetland delineation at medium and small scales. The correct differentiation between wet meadow and grasslands is the key to improving the accuracy of future wetland delineation.
基金The Strategic Priority Research Program of the Chinese Academy of Sciences(XDA2003020302)Construction Project of China Knowledge Center for Engineering Sciences and Technology(CKCEST-2018-2-8)Special Exchange Program of Chinese Academy of Sciences(Y9X90050Y2)
文摘The duration of travel climate comfort degree is an important factor that influences the length of the tourism season and the development of a tourism destination.In this study,we used the monthly average meteorological data for the last 10 years from 46 weather stations in Heilongjiang Province(China)and Primorsky Krai(Russia)to calculate the temperature-humidity index(THI)and wind chill index(WCI)based on ArcGIS software interpolation technology.We obtained the climate comfort charts of the study area with a grid size a 1 km2 grid size,and analyzed the spatial distribution of comfort for each month.The results show the following:1)The THI and WCI of the cross-border region gradually decrease from south to north and from low altitude to high altitude.The annual comfortable climate period is longer when analyzed in terms of the WCI rather\than the THI.2)The travel climate comfortable period of the study area shows significant regional difference and the length of the comfortable period in Heilongjiang Province is 4 to 5 months.Meanwhile,the period in Primorsky Krai decreases from south to north and the length of the comfortable period length in its southern region can reach 7 months.3)The predominant length of the climate comfortable period in the cross-border area is 5 months per year,and it covers 46.6%of the total area,while areas that have a climate comfortable period of 2 months are the most limited,covering less than 0.3%of the area.The results provide a scientific basis for the utilization and development of a meteorological tourism resources and touring arrangements for tourists in the cross-border region between China and Russia.
