Environmental regulation is a policy combination that restricts the pollution behavior of enterprises, and plays a role in protecting the ecological environment in the process of regional development. In this paper, the Undesirable-SBM model, coefficient of variation, Gini coefficient, trend test analysis method and panel Tobit model are used to analyze the spatial-temporal evolution characteristics and influencing factors of the environmental regulation efficiency of the three major urban agglomerations in the Yangtze River Economic Belt from 2009 to 2018. The research shows that:（1) The different stages of urban development in the Yangtze River Delta urban agglomeration lead to differences in environmental regulation efficiency. The lack of coordination at the end of the Chengdu-Chongqing urban agglomeration causes a significant difference in environmental regulation efficiency. The difference in environmental regulation efficiency in the middle reaches of the Yangtze River is small, but the level Lower than other urban agglomerations;（2) The “economic-ecological” coordinated development of urban agglomerations in the Yangtze River Delta, the efficiency of environmental regulation has increased significantly. The agglomeration is a low-efficiency urban agglomeration zone, and the deteriorating cities are as high as 45.16%;（3) There is a certain room for improvement in the input and output of the three major urban agglomerations, which need to be improved in terms of capital allocation, policy input, and pollutant end treatment. ;（4) The impact of economic development on the efficiency of environmental regulation of urban agglomerations is positive, and the impact of industrial structure, urbanization level, and the level of opening to the outside world have different effects on the efficiency of environmental regulation. This study provides the decision-making basis for the three major urban agglomerations to develop and implement differentiated environmental policies and measures to promote the sustainable development of the urban agglomerations in the Yangtze River Basin. It can also provide lessons for other regional environmental governance.

As the important part of the regional technology innovation system, green technology innovation is an important driving force for maintaining the sustainability of regional development and enhancing regional competitive advantages. Based on the research perspective of regional integration, this paper analyzes the green technology innovation network in the Yangtze River Delta by collecting data on green technology patent cooperation and green technology transfer in the Yangtze River Delta and using the Gephi complex network analysis method. The results show that:（1) The green technology innovation network in the Yangtze River Delta is less developed, and a large number of cities are marginalized in green technology innovation network. (2) Green technology innovation relies on knowledge interaction among innovation entities, and geographical proximity promotes the innovation cooperation and knowledge diffusion.（3) The “strong-strong connection” and “core-edge” structural characteristics of the Yangtze River Delta green technology innovation network are obvious. The patent cooperation network presents a multi-center pattern of “one super, many strong”, and the green technology transfer network presents a single center pattern.（4) Under the regional integration, the Yangtze River Delta green technology innovation network has both proximity and hierarchical characteristics, and different types of cities should participate in innovation network differently. Thus, this paper proposes suggestions for optimizing the green technology innovation network in the Yangtze River Delta. The innovations points of this paper are as follows: first, the relationship between regional integration and technological innovation network is established. Second, the spatial organization of green technological innovation is discussed. Third, the importance of geographic proximity to the green technological innovation network is emphasized.

As a supplement to physical space, the study of cyberspace provides a new interpretation and consideration for spatial pattern and organizational structure of a city region. Based on the information flow data of Baidu Index, this paper explored the directional and hierarchical characteristics of intercity information flows in the cyberspace of the Yangtze River Delta（YRD) region in 2018 through city’s indegree and outdegree, intercity inflows and outflows, and nodal region analysis. The results are as follows:（1) In terms of city’s indegree and outdegree, Shanghai, Hangzhou, Suzhou and Nanjing are of high influence and attraction. Hefei has strong influence in but weak attraction to other cities. Cities with both low indegree and outdegree are mainly located in Anhui province.（2) In terms of intercity inflows and outflows, Hangzhou’s strong influence is mainly in the cities of the same province, and Nanjing’s is in cities along Shanghai-Nanjing-Hangzhou corridor while Suzhou‘s is mainly in coastal cities. Shanghai has strong outflows to cities in Jiangsu and Zhejiang provinces whereas cities in Anhui province integrate into the YRD information network through the hub of Nanjing, thus presenting an overall low participation.（3) In terms of nodal region analysis, the cyberspace of YRD forms a cross-regional hierarchical nodal region with Shanghai as the dominant center, Nanjing as the secondary center and Hefei as the tertiary center, and a local nodal region of Zhejiang province with Hangzhou as the center and Ningbo as the secondary center. On this basis, this paper also made a preliminary analysis of the driving factors and puts forward some policy suggestions.

Under the background of regional integration in the Yangtze River Delta, the research on the balance of space allocation in the Grade Ⅲ Level A hospitals will help coordinate the high-quality medical resources at the regional level, and provide support for promoting the integration of regional medical services. In this study, the gravity-based 2-step floating catchment area（2SFCA) method was used to quantitatively analyze the impact of different service radius and distance attenuation parameter β on the accessibility of the Grade Ⅲ Level A hospitals, and analyze the spatial distribution characteristics of accessibility. The coupling coordination degree model was then used to analyze the coordinated development level of supply and demand of the Grade Ⅲ Level A hospitals in each district and county. The results showed that:（1) By narrowing the service radius and increasing the distance attenuation parameter, the average supply level of the Grade Ⅲ Level A hospitals could be improved, but the gap between the districts and counties would be increased. Additionally, the blind expansion of the service radius would reduce the average level of supply, and the gap between districts and counties would also be significantly increased when the distance attenuation parameter was high. Therefore, the key to improving the supply level of Grade Ⅲ Level A hospitals is continuously optimizing the spatial layout of the Grade Ⅲ Level A hospitals to make their service radius relatively reasonable, and guide residents to seek medical treatment in a certain range.（2) the polarization characteristics of accessibility of class A hospitals are obvious. The development of high-speed rail can promote the formation of high-value continuous areas with transportation advantages, as shown in the metropolitan areas of Shanghai, Hangzhou, Suzhou, Wuxi, Changzhou and Nanjing. On the contrary, the difficulties of acquiring proper medical treatment faced by residents in the traffic disadvantaged areas, such as Western Anhui, Western Zhejiang and Eastern Jiangsu, may be aggravated. Therefore, it is necessary to continuously promote the synchronous construction of the Grade Ⅲ Level A hospitals and transportation infrastructure.（3) At present, the overall supply-demand relationship of the Grade Ⅲ Level A hospitals in each district and county is relatively harmonious, but the coordination level is relatively low. The imbalance areas of supply and demand are concentrated in Anhui and Northern Jiangsu and southern Zhejiang, while the areas in northern Zhejiang and southern Jiangsu have formed a continuous balance of supply and demand. Counties with higher supply than demand are mainly distributed in Anhui and Jiangsu provinces, which are the key areas to improve the utilization efficiency of the Grade Ⅲ Level A hospitals.

The theory of tourism area life cycle is a classic theory of tourism geography. It can better judge the development stage of tourism destination, and predict its development trend to a certain extent. It`s also provide theoretical basis in setting unique development strategy. However, there are increasingly more “web celebrity” tourist destinations, which have much different development trends from the traditional life cycle, by the influence of new media. In this paper, SEIR model and advertising budget model were used to describe the nonlinear impact of new media on the tourism area life cycle by simulating the tourist volume. To verify the efficiency of this simulation, Chaka Salt Lake in Qinghai province, Hongya Cave in Chongqing city and Yongxing Square in Xi’an city were chosen as examples. The core conclusion could be summarized by taking all simulation results together, the tourism area life cycle may evolve into four kinds of forms, including “secondary growth”, “traditional S-type”, “first increase then decrease type” and “short-term fluctuation type” under the influence of new media. The specific trend depends on the willingness of tourists in diffusing travel information and development stage of tourism destination. This research provided an effectively supplemented to the theory of tourism area life cycle and practical guidance for the development of tourist attractions in the information age.

Appropriate policy plans are an important support to promote the coordinated development of mineral resources development and ecological environmental protection. In order to evaluate the policy priority of the Yangtze River Economic Belt’s mining green development strategy, this paper determines the influencing factors of the policy and identifies 10 alternatives based on the analysis of Strengths, Weaknesses, Opportunities, and Threats（SWOT）analysis, Analytic Hierarchy Process（AHP), and Fuzzy Technique for Order Performance by Similarity to Ideal Solution（Fuzzy-TOPSIS). At the same time, AHP method is mainly used to determine the weight of SWOT elements, and the fuzzy TOPSIS method ranks alternatives. Finally, the reliability of the fuzzy TOPSIS method was verified by sensitivity analysis. The results of the study reveal that among the 10 alternatives, the highest priority is to ensure the orderly withdrawal of mining rights within the ecological protection red line. The second is strictly implement the compensation system for mine ecological environment damage and the third is prioritize the exploitation of clean and emerging mineral resources. Increasing the concentration of the mining industry has the lowest priority compared to other programs. In order to re-plan the development and utilization of mineral resources in the short term, while improving the guarantee and capacity for governance, And the coordinated development of mineral resources development and ecological environment in the medium and long term, it is suggested to ensure the orderly withdrawal of mining rights within the ecological protection red line as the leading direction of the current ecological environment protection strategy for mineral resources development in the Yangtze River Economic Belt.

Based on the POI data of high-quality scenic spots in Wuling Mountain Area, the spatial distribution pattern and influencing factors of high-quality scenic spots in Wuling Mountain Area were explored by means of the Nearest Neighbor Index, Kernel Density Analysis and spatial overlay analysis. The results show that:（1) The high-quality scenic spots in Wuling Mountain Area show an overall clustering and distribution trend, at the level of sub-area, high-quality scenic spots are concentrated in Hubei and Hunan sub-area, while at the level of prefecture city, high-quality scenic spots are mainly distributed in Enshi Tujia and Miao Autonomous Prefecture, Huaihua City, Southeast Chongqing Area, Xiangxi Tujia and Miao Autonomous Prefecture, Zhangjiajie City and Tongren City.（2) There is a significant spatial difference in the density of high-quality scenic spots in Wuling Mountain Area. Moreover, typical “core-edge” structure is presented in Hubei and Hunan sub-area. Additionally, the core density in Guizhou and Chongqing sub-area shows a gradient decrease from east to west.（3) The spatial distribution pattern of high-quality scenic spots in the Wuling Mountain Area is significantly influenced by natural and human factors. Topographical features, river system and air quality are not only important landscape elements, but also important internal driving forces for the spatial distribution of high-quality scenic spots. Regional economy, transportation accessibility, tourism development capacity and policy supporting have obvious effects on external regulation.

Vegetation coverage is an important factor describing the restoration and growth of vegetation in a region. Accurately and efficiently quantifying the effects of vegetation coverage is changeing and spatiotemporal characteristics before and after FAST project implementation. Moreover, landscape indexes were also introduced to quantitatively understand vegetation coverage over the past 10 years. Based on the Landsat TM/OLI remote sensing images, the vegetation coverage of FAST radio quiet zone from 2008 to 2018 was retrieved, the Fragstats 4.2 was used to analyze the landscape pattern simultaneously. In this paper,（1) the overall vegetation coverage of FAST radio quiet zone from 2008 to 2018 was good, and the growth trend of woodland was so obvious that vegetation coverage in this zone shows spatiotemporal differences. For vegetation types, the region was dominated by low-medium and medium coverage vegetation in 2008, and most of them were medium-high and high coverage vegetation in 2018.(2) It can be seen from transition martrix of vegetation coverage that the area increased by vegetation coverage was much larger than degradation, and the growth trend was significant. The FAST core area of vegetation coverage was 48.01 km²  from 2010 to 2016, and degraded was only 16.19 km ². The actual performance was that ecological environment quality of FAST core area was obviously improved, and woodland areas were increased.（3) There were similarities and differences in spatiotemporal patterns among different types of vegetation in FAST radio quiet zone. The increase of woodland areas had a positive effect on vegetation coverage. With the patch density and the number of patches declines, landscape fragmentation was reduced, connectivity was enhanced, the landscape pattern tended to be stable, and the degree of aggregation increasing. It shows that effective woodland protection measures have a great impact on the landscape pattern of this area, and stable landscape pattern plays an important role in the protection of FAST site. In conclusion, our study shows that remote sensing monitoring support for the vegetation protection in different areas of this area.

In this study, the different stand ages of Pinus massoniana plantation in the hill and mountain site type districts, including 4 site type groups, 6 site type subgroups, and 15 site types, were selected as the research objects to reveal the effects of site type and stand age on the ecological stoichiometry of Pinus massoniana plantation in Sichuan Province. And the needles C, N, and P contents and stoichiometric ratios of Pinus massoniana were analyzed. The results showed that the needles average C, N, P contents of Pinus massoniana in Sichuan Province were 524.34±29.09, 10.28±0.51, and 0.99±0.18 g/kg, respectively; and the needles C∶N, C∶P, and N∶P ratios were 51.08±3.68, 543.90±97.40, and 10.73±2.24, respectively. Across all the plots, the needles C, N, P contents and stoichiometric ratios were significantly（P＜0.05) affected by the site type and the stand age. Within the same stand age, the needles C∶N, C∶P, and N∶P ratios were higher in the hill than in the mountain, and the C content, C∶N ratio, and C∶P ratio were higher in the sandy yellow soil, lower slope of the hill, and the sunny steep（15°-35°) slope in 600-1 000 m altitude of the mountain. The suitable site types for Pinus massoniana in Sichuan Province were the lower part of the hilly sandy yellow soil slope and the 600-1 000 m altitude sunny steep（15°-35°) slope of the mountain sandy yellow soil. In these suitable sites, the needles C storage and the utilization efficiency of needles N and P nutrients were higher than the other sites. Within the same site type, contrary to the change trend of needles N and P content, the needles C content and stoichiometric ratios decreased with the age of forest during the period from the young stand to the near mature stand, while increased with the age of forest during the period from the near mature stand to the mature stand. The Pinus massoniana may have been limited by N before the near mature stand but limited by P after this age of forest.

Monitoring vegetation changes is momentous for evaluating the quality of ecological environment in China. The Vegetation Ecology Index（VEI) was constructed based on five indicators of Gross Primary Productivity, Leaf Area Index, Fractional Vegetation Cover, Temperature Vegetation Drought Index and Land Surface Temperature obtained from MODIS data in China. And the spatio-temporal variation characteristics, sustainability and stability of vegetation ecology quality in China from 2000-2018 were analyzed by using the SEN+Mann-Kendall, Hurst exponent and coefficient of variation. The results showed that:（1) The area of poor and inferior vegetation ecology quality accounted for 25.46% of the total area covered by vegetation, mainly distributed in the most regions of Xinjiang, the northwestern Gansu, the central and western Qinghai-Tibet Plateau, the central and western Inner Mongolia. The excellent areas accounted for 42.91%, mainly distributed in the eastern and northern regions of northeast China, the central and southern regions of east China, the central and southern China, the central and southern Inner Mongolia, and the Qinling region.（2) The ecological quality of vegetation showed a significant increase trend, with an annual growth rate of 0.1%.（3) From the spatial change trend, the area with increasing, basically unchanged and decreasing ecological quality of vegetation accounted for 34.82%, 54.19% and 10.99% of the total vegetation area, respectively.（4) The change in the ecological quality of China’s vegetation over the past nearly 20 years has been relatively small and stable. The future trend in the ecological quality of vegetation would be consistent with the past nearly 20 years and maintain the trend of continued improvement.（5) The ecological quality of all vegetation types tended to be improved, and the ecological quality of evergreen broad-leaved forest, deciduous broad-leaved forest and dense scrub was the best, while the ecological quality of permanent wetland, grassland and sparse scrub was the worst.

formation mechanism of environmental regulation on PM _2.5 pollution by using the panel grey correlation, spatial measurement and mediation effect model. The results are shown as follows:（1) There exists significantly negative spatio-temporal correlation between environmental regulation and PM _2.5 pollution. The mean value of the temporal correlation intensity is negative, presenting a fluctuation of “W” pattern. The negatively spatial correlated cities account for a relatively high proportion.（2) Environmental regulation has an obvious inhibitory effect on PM _2.5 pollution, while the spillover effect of environmental regulation in neighboring cities has not played a positive role in promoting the reduction of local PM _2.5 pollution. In terms of the control variables, urbanization and PM _2.5 pollution show “inverted U-shaped” changes relationship, the size of the city, the level of foreign capital utilization, and the green coverage of the built-up area have a significantly positive impact on PM _2.5 pollution, and the level of informatization, advanced industrial structure, and energy intensity have a significantly negative impact. The impact of capital fails the significance test.（3) The important mediating variables of environmental regulation to reduce PM _2.5 pollution are industrial ecological efficiency and technological progress level respectively. The indirect effect of environmental regulation to reduce PM _2.5 pollution by improving industrial ecological efficiency accounts for 55.69%, while the indirect effect of environmental regulation to reduce PM _2.5 pollution by improving technological progress level accounts for 4.85%.（4) Environmental regulation exhibits spatial heterogeneity effect on PM _2.5 pollution, which cannot effectively reduce PM _2.5 pollution of cities in eastern, central, and northeastern regions, but can significantly lessen the PM _2.5 pollution in western cities.

Based on the meteorological observation data of 72 Hubei national stations and NCEP reanalysis data from 1961 to 2018, representative station classification, time series evolution and correlation analysis are applied to study the temporal and spatial distribution characteristics of fog and haze and related influencing factors. Results show that:（1)The spatial distribution of fog and haze in Hubei is uneven. The haze mostly occurs in large cities and industrial cities while the fog mostly occurs in the mountainous area of southwestern Hubei. The interdecadal trend of fog and haze is relatively consistent before 1980 while it is in the opposite phase after 1980 and showing a negative correlation as a whole. After 2005, haze days significantly increase compared to fog days.（2) Annual trend of fog days increases first, then decreases, and then increases at both urban stations and ecological stations. The turning points from increase to decrease appear in 1980 and 1987 respectively, indicating that the process of urbanization has an impact on the formation of fog. Daily trend of haze days is basically the same, and interannual variations of air pollution show no obvious urban-rural differences.（3) For all stations, quantitative effects of “regional-scale climate change, urbanization and air pollution（aerosol pollution)” on fog are nearly equal, while the impact of urbanization is obviously dominant（55%) for urban stations and aerosol pollution has the highest contribution rate（43%)for ecological stations.

This paper uses the monitoring data from Wuhan Ecology and Environment Bureau, L-band radar sounding, and NCEP/NCAR daily reanalysis data from 2013 to 2019 to analyze the atmospheric pollution characteristics, boundary layer structure, circulation situation, physical quantity field of the pollution days in Wuhan during summer, autumn and winter. A weather conceptual model of air pollution in Wuhan is established. The main conclusions are as follows: (1) The air quality in Wuhan has seasonal characteristics, and the seasonal distribution of air pollution is winter>autumn>spring>summer. The primary pollutant in summer is ozone, while the primary pollutant in winter is PM _2.5. (2) Comparison of selected meteorological element on clean days and pollution days in summer, show that the average intensity of temperature inversion on pollution days is about twice that of clean days. The bottom height is generally below 600 m, and the air quality is generally mild to moderately polluted; the frequency of static wind on polluted days (37.1%) is significantly higher than the frequency of static wind on clean days (2.9%); the average wind speed on polluted days is small (0.8 m/s). The relative humidity in the boundary layer is low. Similarly, comparing the meteorological element characteristics of the two types of weather in autumn and winter, the height and thickness of the inversion on the pollution day are less than half of that of clean day, which is not conducive for diffusion of pollutants and is prone to severely polluted weather. The frequency of static wind (20%) is higher than the frequency of static wind (7.5%) on clean days, and the wind speed is low (1.6 m/s). There is a clear pattern of upper dry and lower wet in the boundary layer on the pollution days. (3) A weather conceptual model of atmospheric pollution in summer is established. The subtropical high of pollution is weak and eastward, and the Yangtze River Basin is prone to less rain and drought; On the ground, a large area in the eastern part is in the pressure equalization field, and the Wuhan area has an abnormally small wind from the northeast, which is not conducive for diffusion of air pollutants. (4) A weather conceptual model of atmospheric pollution in autumn and winter is established. The circulation in the Yangtze River Basin is flat and less fluctuating. In conjunction with the weather situation of weak ground pressure and strong temperature inversion, atmospheric pollutants accumulates near the ground. The intensity of the Mongolian cold high pressure is weak, which makes the intensity of the cold air invading China mainland weaker; the Wuhan area is a small northerly wind, which has a poor effect on the removal and dilution of the smog. The research conclusions of this paper can be used as references for air pollution prediction and early warning research and the joint prevention and control of air pollution by environmental management departments.

Water level is the key index of hydrological situation and ecosystem health of lake wetland. How to determine the appropriate ecological water level threshold is the key to ensure the health of lake wetland. In this paper, the suitable ecological water level process of East Dongting Lake was established by means of RVA method, dynamic calculation method and mathematical statistics, taking the pre-abrupt water level process of Chenglingji station and Lujiao Station (daily water level data from 1959 to 1978) as the reference period. Research results show that: (1) the RVA method to calculate monthly average range of ecological water level threshold is 2.18 m, and the dynamic calculation method for calculating the ecological water level threshold range from month to month average is 5.12 m, the water level fluctuation is bigger, for East Dongting lake is suitable for ecological water level, RVA method to calculate the range of ecological water level is more advantageous to maintain health and biodiversity of wetland plant communities. (2) Affected by the elevation of the lake bottom, the occurrence time of high and low water level in Lujiao Station is about 15 days earlier than that in Chenglingji Station. However, there is no significant difference between the duration and fluctuation range of high and low water level and the average change rate of high and low water level in the sensitive period of fish and plants (March-June). (3) After the variation of water level (2003-2016), the water level of East Dongting Lake was within the ecological water level threshold for most of the time, and only adjustment measures should be taken for the declining period that did not meet the ecological water level. The difference of the average annual water level between Lujiao Station and Chenglingji Station was reduced by 0.46 m, and the hydrodynamic system of Dongting Lake was weakened. The research can provide the basis for the ecological water level of East Dongting Lake and the joint operation of three Gorges and upstream power stations.

In order to explore the nitrogen cycle process in estuarine wetland of plateau lake, the sediments in Luoshijiang estuarine wetland of Erhai Lake was taken as the research object, and the quarterly field investigation involving 8 monitoring sites was conducted to analyze the spatial and temporal distribution of sediment nitrogen. An in-situ incubation approach with top-closed PVC tubes was carried out to study the net mineralization and nitrification rate of sediment nitrogen in summer and autumn. The results showed that: (1) The contents of ammonia nitrogen (NH₄⁺ -N), nitrate nitrogen (NO ₃^--N) and total nitrogen (TN) in Luoshijiang estuarine wetland sediments were 5.92±6.31, 14.49±20.89 and 1 408.98±625.29 mg·kg^-1, respectively. The content of NH₄⁺-N showed a decreasing trend from the inlet to the outlet, and was significantly higher in winter than in others seasons (P<0.05). The contents of NO₃^--N in sediments showed a decreasing trend from the west to the east side of the wetland. There was a significant seasonal difference in NO ₃^--N content (P<0.01), which showed much higher content in spring than in other seasons. (2) The net nitrogen mineralization and nitrification rates in sediments varied from -0.244 to 0.256 and from -0.085 to 0.084 mg·kg^-1·d^-1, respectively. The net nitrogen mineralization rates of both cultivation period and nitrification rate of cultivation period Ⅱ at the inlet of the wetland were significantly lower than that at other monitoring sites (P<0.05). The nitrification rate of cultivation period I was higher in the middle of the wetland. The net nitrogen mineralization rate was greater than the nitrification rate and NH₄⁺-N accumulation was formed. After the cultivation, the inorganic nitrogen mainly existed as NH₄⁺-N in estuarine wetland sediments (i.e., 55.37% of the total amount of NH₄⁺-N and NO₃^--N). (3) Pearson correlation analysis showed that the net nitrogen mineralization rate was significantly negatively correlated with water content (P<0.05). There was a highly significant positive correlation between nitrification rate and NO ₃^--N content before cultivation (P < 0.01), while a negative correlation between nitrification rate and NH4+-N content before cultivation (P < 0.05).

In order to provide a theoretical basis for the optimal allocation of ecological management model of rocky desertification, the characteristics of particle size distribution, stability and organic carbon change of soil aggregates under different ecological restoration measures were explored. Five sample plots were set up on lands of typical in the rocky desertification region under with Land use (farmland, walnut forest, rye grassland, Rosa roxburghii and natural shrub grass). the effects of different artificial and natural sample plots on the stability of soil aggregates and the organic carbon storage in 0-20 cm soil layer were analyzed. The results showed that: (1) Compared with the farmland, the content of water stable macro-aggregate increased and the quantity of micro-aggregate decreased in the environment of walnut forest, rye grassland and natural shrub grassland. The MWD and GMD of shrub grassland and walnut forest aggregate were significantly higher than those in the farmland and Rosa roxburghii, respectively. indicating that the stability of aggregates and soil structure were improved after the change of utilization mode to shrub grassland and walnut forest .(2) After the transformation of farmland, the organic carbon content and reserves of aggregates at all levels of walnut forest, rye grassland and natural irrigated grassland increased, especially in irrigated grassland. At the same time, the increase of organic carbon storage in walnut forest, rye grassland and natural shrub grassland was mainly due to the contribution of  > 5mm and 2-5 mm aggregates. In general, compared with the control measures of artificial forest and grass, natural shrub grassland is better in enhancing the stability of soil aggregation structure and promoting the accumulation of organic carbon.

In order to study the influence of slope gradient, slope position and other topographic factors on the change of soil carbon and nitrogen, the change characteristics of soil organic carbon, total nitrogen content and carbon nitrogen ratio of different layers (0-20 cm, 20-40 cm) under the slope gradient, slope position and their interaction were studied. The results showed that: (1) the content of soil organic carbon and total nitrogen were generally low, and their coefficients of variation were 0-20 cm > 20-40 cm, while the CV% of carbon nitrogen ratio was 20-40 cm > 0-20 cm; (2) with the increase of slope gradient, the content of soil organic carbon, total nitrogen and the ratio of carbon to nitrogen decreased gradually, among which the difference between 0° - 5° and 5° - 20° was significant; compared with 0° - 5°, the decrease of soil organic carbon and total nitrogen in other slopes was 10.07% - 28.69% and 3.72% - 23.74% respectively; (3) with the decline of slope position, the content of soil organic carbon and total nitrogen increased. Compared with the uphill slope position, the increase of soil organic carbon and total nitrogen were 6.48% - 15.98% and 13.43% - 30.34% in the middle and downhill slope position. The C/N ratio decreased with the decrease of slope, but the difference was not significant;(4) the slope mainly affects the change of organic carbon content, while slope position has obvious influence on the change of total nitrogen and carbon nitrogen ratio, especially the slope position interaction. In general, with the increase of slope gradient, organic carbon decreased significantly. The higher the slope position was, the more significant the decrease of soil total nitrogen was, and the more significant the increase of soil C/N ratio was, especially the coordination of carbon and nitrogen changes in the uphill and middle slope position of 20-40 cm soil layer was poor, and the C/N ratio increased significantly with the increase of slope position.

It is widely reported that green roof can lower building surface temperature and cut building energy consumption. However, few studies have explored the annual energy effects of typical green-roof types in hot-summer-and-cold-winter areas. Taking Nanjing as an example, this research investigated the annual energy performance of three green roofs, extensive, semi-intensive and intensive, using the building energy simulation software EnergyPlus. Based on the simulation results, a cost-benefit analysis was performed for the three green roofs. The results suggest that green roofs can regulate roof surface temperature through the evapotranspiration and thermal insulation processes, which are characterized by a cooling effect in summer and a dominant warming effect in winter. The summer cooling intensity can reach 29.3℃, and the maximum winter warming intensity is 13℃. The reduction/increase of roof surface temperature in summer and winter respectively lead to the decrease of building cooling/heating loads. The summer cooling load of the extensive, semi-intensive and intensive green roofs can be reduced by -0.4%, 2% and 2.4%, respectively. The winter heating load of the three green roofs can be reduced by 16.5%, 23.1% and 28.3%, respectively. As a result, the annual energy-saving rates are 1.9%, 4.9% and 5.9% for the three green roofs, with the top floors accounting for 11.1%-71% of the total savings. The cost-benefit analysis reveals that the intensive green roof has the highest net present value and the shortest payback period, but none of the three green roofs can recover the investment cost through the energy-saving benefits during their 40-year life cycle. The above findings may contribute to roof-greening and low-carbon practices for cities in similar climate zones as Nanjing.

The treatment of rural domestic waste is a key part of building ecologically livable and beautiful village. In order to improve its governance effect, it is necessary to introduce the dual forces of village regulations and social supervision, thereby establish a complete regulatory system including social supervision. By integrating village regulations and social supervision into a unified analytical framework, this article discusses the impact of village regulations and social supervision on farmers’ participation behavior in the centralized treatment of domestic waste, and then further analyzes how village regulations will affect farmers’ behavior of participation in domestic waste centralized disposal under different context considering that there are three supervisory subjects. According to research, three conclusions can be drawn as follows:（1） Village regulations play a significant role in promoting farmers’ participation in the centralized treatment of domestic waste. Among them, the punishment and regulation mechanism of the folk conventions have important influence, however, its value orientation mechanism failed to play its due function, as well as and the transmission and internalization, indicating that there is a phenomenon of "relative system failure" in the village rules. （2） Social supervision has a positive impact on farmers' participation in the centralized treatment of domestic waste. Village cadres, villagers’ neighborhoods, and cleaners are the backbone of supervision. The social supervision grid formed by them can effectively restrain the garbage disposal behavior of farmers. Among them, the neighborhood’s supervision work best. （3）Social supervision plays a moderating role between village regulations and farmers' participation in the centralized treatment of domestic waste. Due to that social supervision integrates the advantages of different groups, it makes up for the defects of the village regulations, thus enhancing the binding force of the village regulations on famers’ participation behavior centralized treatment of household garbage.

This paper took the pilot project of the treatment of heavy metal-contaminated cultivated land (THMCL) in Chang-Zhu-Tan region in 2014 as a quasi-natural experiment, and empirically tested the green development effect of the THMCL by SBM-Undesirable model and Difference-in-Difference Method. The results show that: （1） theoretically, the THMCL affects the level of regional green development from the following four aspects, green policy supply, green technology innovation, green capital support, and green bonus spillover. （2） the pilot project of the THMCL in Chang-Zhu-Tan region has significantly promoted the regional green development. Results of Difference-in-Difference model shows that the contribution rate of this treatment practice is 17.7%, which has passed the parallel trend assumption and counterfactual test. （3） the promotion effect of the THMCL on green development is influenced by the level of rural economics, technological innovation ability and cultivated land resource endowment. To improve the system of the THMCL and enhance the ability of the THMCL, China should take diversified measures based on the basic requirements of national governance modernization.

According to the influence mechanism of environmental emotions and skills on the pro-environmental behavior of households, using the survey data of 498 tea growers in Qinba Mountain Area, a counting model was used to analyze the impact of environmental emotions and skills on reducing pollution behaviors and improving environmental behaviors of households, and the moderating effect of social reference norms is discussed. The results show that, firstly, both positive and negative emotions have a significant impact on the improving environmental behaviors of households, but only positive emotions have a significant impact on the reducing pollution behaviors of households. The environmental skills including strategic knowledge and action ability have a significant impact on the reducing pollution behaviors of households, but only the action ability has a significant impact on households′ improving environment behavior. Secondly, the positive emotions have a strengthening role in the relationship between action ability and households′ improving environment behavior, and the negative emotions have a strengthening role in the relationship between action ability and households′ reducing pollution behavior. Thirdly, the social reference norm plays a positive moderating effect in the relationship between action capacity and households′ improving environment behavior; the social reference norm has a moderating effect in the relationship between environmental emotions and households′ reducing pollution behaviors, but the different types of environmental emotions have different moderating directions.

Multi-agent collaborative governance in agricultural products is great significance to promoting the green development of agriculture. Based on the green production data of tea industry in geographical indication protection area, this paper starts from the cooperative game of geographical indication protection participation and its synergistic performance for the first time. From the two perspectives of game theory and synergy theory, this paper analyzes the incentives of the participants of GI protection to green tea production. The research shows that the cooperation of the main body of geographical indication protection is not complete at present; the coordination degree is only 0.64, which is at the level of “coordinated and generally effective”. The tea factory and the tea farmers have become the shortcomings to decrease the overall coordination degree. The model verification shows that the quality inspection system and the understanding of public brands are to supervise and encourage tea factories and tea farmers to improve the efficiency of geographical indication protection. In order to improve the coordinated performance of geographical indication protection, the government should build a coordinated management system for geographical indication protection entities supplemented by market and government intervention.