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Abstract: As the climate changed, the Qinghai-Tibetan Plateau (QTP) has been experiencing rapid permafrost degradation in the past decades. One of the most remarkable characteristics is the formation of thermokarst lakes. Based on the Google Earth Engine platform (GEE), the distribution of thermokarst lakes along the Qinghai-Tibet Highway (QTH) in recent 30 years (1991-2020) are examined, and the environmental factors affecting the distribution of thermokarst lakes are investigated, combined with field monitoring and Landsat data. Both the number and area of thermokarst lakes along QTH show a trend of decreasing - increasing - rapidly increasing - decreasing. The area of thermokarst lakes increased from 107.14 km² in 1991 to 184.92 km² in 2020. In 2018, the density of thermokarst lakes along the Qinghai-Tibet Highway was 14.4 /100km², which is generally high over QTP. The changes in the number and area of the thermokarst lakes on the QTP were significantly positively correlated with the annual mean temperature (p <0.05), while weakly positively correlated with the annual mean precipitation, indicating that the number and area variations of the thermokarst lakes on the QTP were strongly affected by temperature than precipitation. The study on QTP thermokarst lakes provides an investigation of the impact of climate change on the ecology and environment of permafrost regions, background research for the construction of QTH, and further serve the construction of ecological safety barrier in China.Abstract: As the climate changed, the Qinghai-Tibetan Plateau (QTP) has been experiencing rapid permafrost degradation in the past decades. One of the most remarkable characteristics is the formation of thermokarst lakes. Based on the Google Earth Engine platform (GEE), the distribution of thermokarst lakes along the Qinghai-Tibet Highway (QTH) in recent 30 ...Learn More
Abstract: Sichuan-Tibet Railway is an important transportation system in China, which is of great significance to promote the communication between Tibet and the mainland. This paper takes the lin-chang section of the Sichuan-Tibet railway with a width of 2km on both sides as the research area. The occurrence of debris flow must have appropriate solid source, water source and topographic conditions. In this paper, ten disaster-causing factors are selected, including relief degree of land surface, profile curvature, silty soil, distance to the rive, distance to the fault, elevation, slope aspect, NDVI, average annual rainfall and land utilization rate. The information of disaster-causing factors was extracted from Arcgis and evaluated by the certainty factor model. The probability of debris flow in the study area was calculated by the coupling model of binary Logistic regression model combined with certainty factor model. ROC curve analysis of the CF-LR model shows that AUC is 0.89, indicating that the model has a good effect. The distribution map of debris flow susceptibility in the study area was obtained by using grid calculator in GIS. The results show that under the CF-LR model, extremely low, low, medium and high prone areas cover 2547km2, 235km2, 246km2 and 1099km2 respectively, accounting for 61.72%, 5.69%, 5.96% and 26.63% of the total area of the study area, respectively. The high risk areas are mainly in Milin, Nyingchi and Bomi counties. This study provides an important reference for assessing the risk of debris flow geological disaster on Sichuan-Tibet Railway.Abstract: Sichuan-Tibet Railway is an important transportation system in China, which is of great significance to promote the communication between Tibet and the mainland. This paper takes the lin-chang section of the Sichuan-Tibet railway with a width of 2km on both sides as the research area. The occurrence of debris flow must have appropriate solid source...Learn More
Abstract: This study deals with the karstification of coastal covered karsts with the aim of looking for a relationship between sea level changes and feature development taking place on the covered parts of carbonate karsts. This relation is manifested by the fluctuation of karst water level that is controlled by the sea level. Through further studies, shore shiftings occurring during the time of various paleokarst feature assemblages can be established. The development of suffosion dolines and dropout dolines at subsurface water level is analysed. The pattern of coast zones with dolines is studied in three cases thus, on regressive coast at non-fluctuating water level (1), on transgressive coast at non-fluctuating water level (2), and at oscillating sea level at oscillating karstwater level (3). In the first case, a solution doline zone (and/or karren zone), a mixed or compound zone (with suffosion dolines and dropout dolines) and a suffosion doline zone develops landward. In the second case a suffosion doline zone develops (this may turn into a mixed zone) and during further subsidence, a filled doline zone develops which may expand at the expense of the suffosion doline zone (mixed doline zone). In the third case, close to the shore, in the glacial a dropout doline zone and a suffosion doline zone are separated. In the interglacial, a solution doline zone develops at the uncovered surface, at the outer, seaward part of the dropout doline zone dolines with lakes are formed, the development of suffosion dolines continues in the suffosion zone.Abstract: This study deals with the karstification of coastal covered karsts with the aim of looking for a relationship between sea level changes and feature development taking place on the covered parts of carbonate karsts. This relation is manifested by the fluctuation of karst water level that is controlled by the sea level. Through further studies, shore...Learn More
Abstract: Ecological protection and high-quality development of the Yellow River Basin are major national strategies, and industrial ecology is an effective way to maintain the integrity of important ecosystems, rational resource allocation and take into account the actual situation of the region while ensuring sustained and stable economic growth. Taking the Yellow River Basin as the research area and industrial ecology as the research object, this paper discusses the spatial differences in industrial ecological efficiency and the influencing factors that lead to them, aiming to provide reference for the comparative analysis of regions and the development direction of each region. In this paper, the industrial ecological efficiency of 59 cities and prefectures in the Yellow River Basin in 2001~2020 was calculated by constructing a super-efficient SBM model. The double fixed effect regression model based on Driscoll-Kraay standard error and geographic detector model were used to explore the spatial heterogeneity and driving factors of industrial ecological efficiency in the study area, and how these driving factors affected the spatial distribution of industrial ecological efficiency. The results show that: 1. The spatial differentiation characteristics of industrial ecological efficiency in the study area are significant, showing a spatial pattern of decreasing diffusion from provincial capital cities as high-value points. 2. Technological innovation, environmental control, industrial structure and opening up all have an impact on the improvement of industrial ecological efficiency, and will affect the spatial distribution of industrial ecological efficiency due to its own spatial distribution. 3. The influence of each driving factor on industrial ecological efficiency and spatial heterogeneity is different. 4. The influence of the interaction between factors on industrial ecological efficiency is better than that of single factor.Abstract: Ecological protection and high-quality development of the Yellow River Basin are major national strategies, and industrial ecology is an effective way to maintain the integrity of important ecosystems, rational resource allocation and take into account the actual situation of the region while ensuring sustained and stable economic growth. Taking th...Learn More
Abstract: This article firstly proposes a fuzzy weighted moving average (FWMA) to compute well for the beginning and end parts. Then, the FWMA is applied to both of the annual anomalies and the annual standardized differences (variance adjusted anomalies) of temperature among the six top nations or regions of cumulative CO2 emissions, Canada and the globe to reveal and compare the interdecadal trends. The related topic of ‘land/sea warming contrast’ was re-analyzed with the FWMA. The main findings are somewhat unexpected as follows: (1) The FWMA curves of anomalies showed that all six nations got warming up stronger than the globe except for India. But the sequence order of the nation’s warming extents in the last decade were much different from those of nation’s cumulative CO2 emissions. (2) The FWMA of the annual standardized differences of temperature showed much better than the annual anomalies. The sequence order of nation’s warming up agreed with that of the cumulative CO2 emissions among the seven nations. In contrary, the globe got warming obviously higher than all the seven nations or regions. The direct reason, in statistics, is that the climatologic variance of the globe is much smaller than all the seven nations, in statistics. (3) The related phenomena of ‘land/sea warming contrast’ appeared only in their anomalies, but disappeared all in the standardized differences. The direct reason is depended upon the around 2 times of difference of the climatologic variance between the land and sea. (4) The FWMA curves for the globe actually much closes to that of the sea than the land.Abstract: This article firstly proposes a fuzzy weighted moving average (FWMA) to compute well for the beginning and end parts. Then, the FWMA is applied to both of the annual anomalies and the annual standardized differences (variance adjusted anomalies) of temperature among the six top nations or regions of cumulative CO2 emissions, Canada and the globe to...Learn More
