As an effective method for  achieving sustainable development, green innovation plays a key role in promoting regional integration and high-quality development in the Yangtze River Delta region.Using the Super-SBM DEA model of undesirable outputs to measure the green innovation efficiency of 41 cities in the Yangtze River Delta from 2011 to 2019, and constructing the correlation matrix of green innovation efficiency among cities by gravity model, this paper discusses the spatial correlation, network structure characteristics and driving factors of green innovation efficiency by applying social network analysis method.The results show that: （1)The efficiency of urban green innovation in the Yangtze River Delta is basically fluctuated and increased.There is obvious regional heterogeneity in efficiency, and the distribution pattern is high in the south but low in the north.(2）The spatial association network of green innovation efficiency in the region is complex and the local associations of some cities are strong.In some regional central cities, such as Shanghai, the effect of syphon aspect is obvious, while the spillover effect needs to be improved.(3）The efficiency network presents an obvious core-edge structure.The core area is mainly concentrated in Shanghai, other provincial capitals and surrounding cities, which basically presents a trend distribution with “most concentrated, a few dispersed”.(4）The differences in patent output and industrial structure have a significant positive effect on the spatial correlation intensity of green innovation efficiency among cities.The differences in environmental quality and geographical distance have negative effects on the spatial correlation of green innovation efficiency among cities.These factors become important factors affecting the spatial network structure of urban green innovation efficiency in the Yangtze River Delta.

Promoting the coordinated development of new urbanization and urban residents’ quality of life is an important part of implementing the people-oriented urbanization strategy. By constructing the evaluation index system and using the coupling coordination model to measure the coupling coordination relationship between the new urbanization and the quality of life of urban residents in the urban agglomeration of the middle reaches of the Yangtze River from 2010 to 2019, this paper uses the kernel density estimation method and the ESDA exploratory method to analyze the temporal and spatial coupling coordination relationship between the two, and uses the Dagum Gini coefficient decomposition method to measure the regional difference of the coupling coordination relationship. Finally, the grey correlation model is used to analyze the influence of the new urbanization on the quality of life of urban residents and the change of the coupling coordination relationship between the two, the results show that: (1) The comprehensive index of new urbanization and urban residents’ quality of life is increasing year by year, and the spatial and temporal evolution of the two shows a high degree of fitting. (2) The coupling and coordination relationship between new-type urbanization and the quality of life of urban residents is gradually strengthened, but the overall level is not high. The coupling and coordination index of provincial capitals headed by Wuhan is higher, and the coupling and coordination relationship of other cities is unbalanced. (3) In terms of regional differences, from 2010 to 2019, the imbalance in the urban agglomeration in the middle reaches of the Yangtze River gradually narrowed, but the coupling and coordination relationship within the sub-urban agglomerations was significantly different. The internal differentiation characteristics of Wuhan metropolitan area were the most significant, and the development synergy between cities was low. (4) From the calculation results of grey correlation model and Pearson correlation coefficient, the urbanization rate, per capita GDP and the proportion of the tertiary industry in GDP have the greatest impact on the quality of life of residents and the coupling and coordination relationship between the two. Therefore, in the process of new urbanization development, we should relax the urban settlement restrictions of agricultural transfer population, improve the settlement policy, provide free labor skills training for agricultural transfer population, increase residents’ disposable income through multiple channels, improve the supply capacity of production and living service industry, optimize the industrial structure, and promote the coordinated development of new urbanization and urban residents’ quality of life with the goal of high-quality urban life.

Promoting mass entrepreneurship and innovation is essential to support implementing the innovation-driven development strategy, and innovation and entrepreneurship ability also affect the regional green development level. This paper selected 101 prefecture-level cities in the Yangtze River Economic Belt from 2003 to 2017 as research samples. Moreover, the impact of regional innovation and entrepreneurship ability on total carbon emissions and carbon intensity in the Yangtze River Economic Belt is analyzed by using a spatial econometric model. The heterogeneity of spatial effects is tested by region and degree of marketization, and finally, the robustness test is conducted to ensure the reliability of the results. Research shows that innovation factor agglomeration plays a significant positive role in carbon emission reduction. In contrast, entrepreneurial factor agglomeration increases regional carbon emissions while reducing carbon emission intensity. In addition, innovation factor agglomeration’s spillover effect can reduce adjacent regions’ carbon emissions and carbon intensity. In contrast, entrepreneurial factor agglomeration will increase the carbon emissions and carbon intensity of adjacent regions. Besides, the marketization degree and geographical location play an important role in influencing the relationship between innovation and entrepreneurship and carbon emissions. According to the empirical conclusions, this paper puts forward corresponding policy recommendations for different regions.

Population is an important support for economic and social development, and the impact of an ageing population on the service sector has become an unavoidable issue in quality development. Based on panel data of 110 cities at prefecture level and above in the Yangtze River Economic Belt from 2010 to 2020, the impact of population ageing on the optimization and upgrading of service industry from the perspective of structural efficiency, and the heterogeneity of different regions and at different rates of ageing is analysed. The results show that: (1) Population ageing has a significant positive impact on the producer services and efficiency enhancement of the service industry, while it has a significant negative impact on the high-end of the service industry. (2) The significant inhibiting effect on the producer services and efficiency improvement of the service industry is mainly concentrated in the upper and lower reaches of the Yangtze River Economic Belt, while the positive effect on efficiency improvement is seen in the lower areas. (3) The slow growth rate of the ageing population will have a more pronounced deterrent effect on the producer services, while the accelerated ageing process will promote the development of the high-end of the service industry and have a certain impact on production efficiency. To this end, there is an urgent need to focus on the impact of the ageing population on the structure and efficiency of the service industry in the Yangtze River Economic belt at both the supply and demand levels, and to promote the high-quality development of the service sector in accordance with local conditions and the process of transformation and application of technological achievements.

Promoting the rapid growth of farmers’ income and constantly improving their living standards are the fundamental purposes of implementing a of rural revitalization strategy. As the core element of modern agricultural development, exploring the relationship between agricultural information technology and farmers’ income and consumption is of great significance to promote the construction of “digital countryside” and achieve the goal of rural revitalization strategy. The study further considered the moderating effect of farmers’ cognitive differences. The study shows that： (1) Agricultural informatization lowers farmers’ living expenses while increasing their income level, and the effect of agricultural informatization application level is more obvious. (2) Farmers’ cognition plays a moderating role in the influence of agricultural information technology on farmers’ income and expenditure. Specifically, a higher level of cognition significantly increases the effect of agricultural information technology on their income and reduces the negative correlation between agricultural information technology and farmers’ consumption. (3) Information recognition and information concern are positive moderating variables affecting the relationship between agricultural informatization applications and farmers’ income, while farmers’ cognition and its three sub-dimensions all assume a negative moderating role in the process of agricultural informatization applications affecting their consumption levels, and are only negatively moderated by farmers’ content trust in the process of agricultural informatization facilities construction affecting farmers’ expenditures. Therefore, local governments should play the role of social public resource allocation to accelerate the construction of rural information infrastructure, while strengthening farmers’ digital literacy and skills training and improving rural digital governance, so as to drive up farmers’ income and consumption levels and provide strong support for promoting agricultural and rural modernization and realizing rural revitalization strategy.

The littoral zone of the Yangtze River mainstream has a very important ecological role for macrozoobenthos. However, the status of water quality biology assessment in the riparian zone of the middle and lower reaches of the Yangtze River is not yet known, and the influence of macrobenthos by shoreline use type deserves further investigation. In order to assess the aquatic ecological environment in the littoral zone of the middle and lower reaches of the Yangtze River, this study conducted a sampling survey of macrobenthos and water environmental factors at 53 representative sample sites along the river in May 2017. The distribution of bivalves, gastropods, mollusks and polychaetes in the middle and lower reaches riparian zone varied greatly, related to salinity, flow velocity, attached substrate and sediment grain size. The Biological Pollution Index (BPI) shows that the water bodies in the middle and lower reaches of the Yangtze River are in mild-moderate pollution, and the anomalously low BPI values near the mouth of the estuary may be related to the massive growth of polychaetes and Limnoperna fortunei. The results of non-metric multidimensional ranking (NMDS) analysis showed that macrozoobenthos was more significantly affected by ammonia nitrogen, nitrate nitrogen, phosphate, chlorophyll a, polycyclic aromatic hydrocarbons (PAHs) and organochlorine pesticides (OCPs).It also suggested that Corbicula fluminea, Novaculina chinensis, L. fortunei, Bellamya aeruginosa, Semisulcospira cancelata, Stenothyra glabra and Macrobrachium nipponense were distributed in wetlands and natural bank sections while Chironomid larvae and oligochaetas were in urban and estuary sections. The distribution of the macrozoobenthos community structure was constrained by the utilization types and physicochemical factors, which provided a scientific basis for the survey and assessment of shoreline resources and for the management and protection of aquatic ecosystems in the Yangtze River Economic Zone.

In order to understand the composition of fish species diversity and assemblage structure in the Dianpu river, Chuanyang river, Dazhi river, Jinhui river and Longquan river these 5 Shanghai backbone rivers, this paper carried out water collection, eDNA filtration and extraction, 12SrRNA genetic marker amplification, high-throughput sequencing, bioinformatic analysis and other analysis processes in June (summer) and November (autumn) of 2021.The results showed that a total of 80 fish species were detected in 20 sections of 5 backbone rivers during the two surveys. Excluding 10 marine species that were detected due to kitchen waste flowing into rivers, 70 species might actually inhabit, belonging to 10 orders, 22 families and 55 genera. Including 1 species of second-class state protected fish-Myxocyprinus asiaticus and 5 invasive species. 48 and 62 fish species were detected in summer and autumn respectively, with an average of 35.2 and 44.0 species per river. Howerver, Chao1 index and ACE index of 20 sections in summer were higher than the average in autumn, while the mean values of Shannon index and Simpson index in summer were lower than those in autumn. The common dominant species in summer and autumn were Coilia nasus, Carassius auratus and Cyprinus carpio. Jaccard similarity analysis showed that Longquan river with the best similarity between sections was very similar, but the Dazhi river with the worst similarity was also medium similar. Cluster analysis and NMDS sequencing analysis showed that the 5 backbone rivers could be divided into 3 groups with extremely significant discrepancies. The Longquan river, Jinhui river and Dazhi river sections excluding Z1 were group Ⅰ, the sections of  the Chuanyang river and Dianpu river were Ⅱ, and Z1 section was Group Ⅲ. Coilia nasus, Carassius auratus and Acheilognathus macropterus were the main discriminating species causing the differences among the three groups. Although the number of fish species detected in this study was higher than that recorded in the main stream of the Huangpu River, food waste flowing into the river could also be detected, which might have some “false positive” phenomenon. Nevertheless, the eDNA matabarcoding technology still shows good application prospects in the assessment of fish diversity in urban rivers.

The Jianghan Plain is a flood-prone area in the Yangtze River Basin, and accurate monitoring of floods is of great significance for disaster prevention and mitigation. In this paper, a multi-source data collaborative flood range extraction method is proposed. By constructing long-term remote sensing observation surface water data, and constructing an exclusion layer based on the prior knowledge of water distribution, the flood information extracted by the Normalized Difference Flood Index (NDFI) method method is corrected to eliminate partial misclassification errors. The flood disaster event in the Jianghan Plain in the summer of 2020 was selected to carry out experimental verification. The experimental results show that the proposed method can effectively improve the situation that normal water bodies in the Jianghan Plain are mistakenly classified as floods, mainly in that the pixels that are mistakenly classified as floods in some farmland, lake and river areas are eliminated through the setting of the exclusion layer, which improves the accuracy of flood mapping.

In order to clarify and enhance awareness of freshwater venomous fishes, the fauna composition, spatial distribution and feeding characteristics of venomous fishes in the Yellow River Basin were studied based on historical and watershed fishes survey data. The results showed that 67 species from 41 genera, 16 families and 10 orders of venomous fishes were found in the river basin, which accounted for 33.33 percent of the total species of fishes. In taxonomic level, the proportion of venomous fish in taxa decreased gradually from higher taxa to lower taxa. In spatial distribution level, the number of poisonous fish species increases from the source to the downstream estuary segment. Schizopygopsis pylzovi and Platypharodon extremus are only present in the source and upstream reach while other venomous fish species such as Takifugu ocellatus, Takifugu obscurus, Takifugu rubripes and Takifugu niphobles were only distributed in the estuary of the Yellow River and other venomous fishes were distributed in whole reach. The similarity analysis showed that the distribution of venomous fish fauna form was similar in all river segments and chi-square test (χ2) showed no significant difference in the distribution of venomous fish fauna in all river segments (P > 0.05). There were twenty-five species of gall-bladder posinous fishes, twenty-four species of acanthotoxic fishes, seven species of ichthyootoxic fishes, five species of ichthyohepatoxic fishes, four species of puffer-like poisonous fishes and two species of ichthyohemotoxic fishes among the sixty-seven venomous fish species. The dominant toxic types in the Yellow river were gall-bladder posinous fishes and acanthotoxic fishes, which were consistent with the main toxin types of freshwater poisonous fish, and mainly concentrated on cypriniformes, siluriformes and perciformes. There were seven kinds of trophic guilds in venomous fishes in the river basin, which mainly concentrated on carnivorous and invertebrate feeding guild, accounting for 32.83 percent and 28.36 percent of the poisonous fish species, respectively. The comprehensive statistical analysis showed that the venomous fishes in the Yellow River basin are widely distributed and the poisonous types are diverse. The results can provide scientific support for the identification, development and utilization of venomous fish resources in the Yellow River Basin. 

Soil microorganisms play an important role in the operation and maintenance of wetland ecosystems. In this paper, the PLFAs analysis method and high-throughput sequencing technology were used to obtain the community structure information of soil microorganisms and archaea. The changes of soil microbial biomass and archaeal community structure, and the influencing factors during the ecological restoration during returning farmland to wetland were discussed. The results showed that along the wetland restoration age, the biomass of soil total microorganisms, actinomycetes, bacteria and fungi (except for the 11 aW) in the surface layer increased continuously, while they showed a decreasing-increasing-decreasing trend in the subsurface layer. Compared with rapeseed field, the proportion of bacteria showed a decreasing-increasing-decreasing tendency in the surface soils of restoration wetlands, and showed a trend of increasing-decreasing in the subsurface soils. The proportion of fungi, and the ratio of fungi to bacteria showed a trend of increasing-decreasing-increasing along the restoration ages. The proportion of soil actinomycetes gradually increased along the restoration ages. Euryarchaeota (relative abundance: 47.61%-85.29%) was the first dominant phylum of archaea in the studied area, and Thaumarchaeota (relative abundance: 14.58%-52.33%) was the second dominant phylum. The relative abundance of the Crenarchaeota phyla was small (relative abundance: 0.01%-0.81%). The relative abundance of Euryarchaeota in the surface soil increased first and then decreased, and in the subsurface showed an upward trend during the wetland restoration period. The relative abundance of Thaumarchaeota showed a trend of decreasing-increasing in the surface soils, while has a decreasing trend in the subsurface soils. Correlation analysis and redundancy analysis results indicated that available nitrogen, total nitrogen and organic matter were the main environmental factors for explaining the changes of soil microbial biomass, microbial community structure and archaeal community structure during wetland restoration. However, the environmental factor with the largest cumulative explanations for changes of microbial biomass and community structure was soil available nitrogen. Microorganisms respond to the soil ecological restoration process in wetlands after returning farmland to wetland by adjusting microbial biomass and community structure.

It is of great significance for drought monitoring and water resources management to study the evolution of hydrological drought under the effect of reservoir runoff regulation. Based on the monthly measured runoff data from 1956 to 2020 at Huangjiagang and Huangzhuang stations in the middle reaches of Hanjiang River, the standardized runoff index(SRI) was used to analyse the hydrological drought changes before and after the Danjiangkou(DJK) Reservoir impoundment. The variations of joint probability and return period of hydrological drought characteristic variables were evaluated based on Copula function. Results indicated that:(1) Compared with that before the DJK Reservoir impoundment, the drought situations in winter at the two hydrological stations after operation of the DJK Reservoir were significantly reduced, while the drought conditions in summer and autumn were slightly aggravated, especially at Huangjiagang station;(2) After the impoundment of the DJK Reservoir, the frequency of light drought events at Huangjiagang station increased significantly, and that in Huangzhuang station increased slightly, while the frequency of moderate, severe and extreme drought events at the two hydrological stations decreased significantly;(3) As for the average value of drought duration and severity, Huangjiagang station increased and Huangzhuang station decreased slightly after operation of the DJK Reservoir. From the average value of drought peak, the two hydrological stations decreased in varying degrees after impoundment of the DJK Reservoir;(4) Given a certain return period, the joint return period of drought characteristic variables of the two hydrological stations after impoundment showed an increasing trend, while the co-occurrence return period exhibited a downward trend as a whole;(5) In dry years, increasing the outflow of the DJK Reservoir can alleviate winter and spring drought conditions in the middle-lower reaches of Hanjiang River to some extent, but the impoundment of the reservoir at the end of the flood season reduces the streamflow of the downstream river, which may aggravate the drought condition.

In order to understand the air pollution situation in Xiangyang city, this paper analyzed the characteristics of air pollution in different seasons, the main pollution process, and the correlation between air pollution and meteorological factors based on the observation data of six state-controlled monitoring sites in Xiangyang city and meteorological data from March 2021 to February 2022. The HYSPLIT model was used to analyze the 48 h (O₃-36 h) backward trajectory flow of the main pollution processes in four seasons. Combined with the primary pollutant data, the air pollution transport path and potential source area in Xiangyang city were investigated. The results show that the air pollution in Xiangyang presents obvious seasonal variation, and the main pollutants are PM_2.5, PM₁₀ and O₃. Meteorological factors are closely related to pollutant concentration. The results of backward trajectory, potential source contribution function and concentration weight trajectory analysis revealed that the potential source region of PM_2.5 pollution in spring were mainly distributed in the junction of Xiangyang and Henan, and the area centered on Tai′an. The potential sources of O₃ pollution in summer are mainly distributed in the surrounding areas of Xiangyang, such as Changsha, Wuhan, Suizhou, Nanyang and Zhumadian. The potential sources of PM_2.5 pollution in autumn are mainly distributed in Suizhou, Xinyang and the surrounding areas around Shangqiu in Henan. The potential sources of PM_2.5 pollution in winter are mainly distributed in the surrounding areas of Jingzhou, the junction of northeast Henan and southwest Shandong with Heze as the center. This study revealed the types and sources of atmospheric characteristic pollutants in Xiangyang city, providing theoretical reference for decision-making of air pollution prevention and control in Xiangyang City.

This article aims to observe and analyze the morphology and element composition of the leaf surface sediments beside urban roads, to obtain the main particle composition of air pollution in different areas of the city, to determine the element content in the sediments, and then to infer the source of pollution. In summer (July) and winter (January), leaves were collected from residential area (Yanggongqiao), commercial area (Guanyinqiao) and park area (Zhaomushan Mountain Park) respectively, and the morphology and element composition of leaf surface sediment were analyzed by the scanning electron microscope (SEM) and energy dispersive spectrometer (EDS). The results showed that the particles on the surface of leaves in summer were less than those in winter, and the particles near the park were less than those in the other two areas. There were more PM10 particles in residential areas and more PM2.5 particles in commercial areas. The main components of particles were carbon, oxygen, silicon, potassium, calcium, magnesium, aluminum, iron, phosphorus, sulfur etc. The air quality of Chongqing main city is good, and the air quality is better in summer than in winter as well as better in the park area than in the other two areas. The main sources of airborne particulates are soil dust, automobile exhaust and construction dust. Construction dust pollution in residential areas is higher than that in the other two areas, and automobile exhaust pollution in commercial areas is higher than that in the other two areas. The application of lead-free gasoline has made the lead content in urban air particulates lower than the detectable value of the spectrometer. The application of unleaded gasoline makes the lead content in urban air particulate matter lower than the value that can be detected by energy spectrometer.

The structural characteristics of river system and complex geomorphic environment in the upper reaches of Minjiang River construct the unique water ecology and water environment foundation in mountainous areas, thus shaping the special distribution law of watershed settlements. The study analyzed the plane shape, vertical change, type distribution and spatial differentiation of settlement distribution in the upper reaches of Minjiang River through the adjacent distance of the river, the altitude change of river profile, the grade of catchment basin and the complexity of river system development. The geographic detector is used to reveal the mechanism of hydrological environment coupling geomorphic characteristics affecting the distribution of settlements in mountainous areas in the upper reaches of Minjiang River. The results are as follows: (1) the settlement has the characteristics of “linear” distribution attached to the main river; In general, the number of settlements decreases with the increase of the elevation of Minjiang River tributaries, but there are some differences in different tributaries. The settlements along the main stream of Minjiang River show “U-shaped” distribution characteristics with the increase of river profile altitude. The settlements are concentrated on both sides of the river at an altitude of 873-1 588 m and 1 877-3 369 m; The distribution of settlements of different ethnic groups has obvious catchment level directivity. For example, only Tibetan settlements are distributed in level 1 catchment area, while almost all Han settlements are distributed in level 10 catchment area; The overall settlement density increases with the increase of fractal dimension of watershed water system, and has different spatial differentiation laws in different tributary watersheds. (2) The geographic detector shows that the density of river water system, fractal dimension of water system, altitude and topographic relief are the main control factors affecting the settlement distribution in the upper reaches of Minjiang River, and have significant nonlinear interactive enhancement effect. (3) Through the discussion of terrace development, disaster risk, climate environment and geomorphic landscape characteristics, it is revealed that the production and living environment formed by the coupling of hydrological characteristics and geomorphic environment in the upper reaches of Minjiang River is adaptively selected and utilized by the basin residents, thus forming the internal mechanism of river water system affecting settlement distribution.

The natural environment of human settlements is the ecological basis of people’s production and life. The spatial distribution and core degree of urban built-up areas can reflect the scale and trend of urban development. Exploring the coupling relationship between the two will help promote the simultaneous coordination of urban development and environmental protection. Based on the remote sensing images and other multi-source data of Jinsha River Basin in Yunnan Province in 2010,2015 and 2020, from the perspective of coordinated and sustainable development of city and nature, the urban coreness index is calculated by multi-index fusion, and the human settlements’ natural environment quality index is calculated by multi-method combination. The core degree index of urban built-up area is extracted by threshold segmentation, and the coupling coordination degree model between the core degree of urban built-up area and the quality of human settlements natural environment is further constructed. The coupling coordination degree and development difference degree of the two are calculated. The urban built-up areas in the basin are divided into nine types, and their differentiation rules are revealed from the two dimensions of time and space. The results show that:(1) The coreness index of watershed cities shows a slight downward trend as a whole, and the high-value range of core degree gradually expands with time. Human settlements’ natural environment quality index rose slowly, especially in the middle reaches of the central Yunnan region.(2) There is a strong spatial correlation between the core degree of urban built-up area and the quality of human settlements natural environment, and the coupling degree is higher than 0.8 over the years.(3) The coupling coordination degree of the two shows core city>periphery city, southern city>northern city, central city>eastern and western city, showing the distribution pattern of ‘high in the middle, low around’; the overall coordination degree decreased slightly, and the high coordination range expanded significantly over time.(4) The differences in regional nature, resources and policies have affected the balance between urban development and ecological environment, making the basin cities mainly appear in five types of coupling and coordinated development. The research results provide a scientific basis for the rational development of urban built-up areas and the protection of the natural environment in the basin. The urban coreness index and the human settlements’ natural environment quality index model obtained to provide a reference for similar research.

This paper comprehensively uses the difference-in-difference (DID) and the system generalized method of moments (SYS-GMM) estimation method to test and identify the implementation effect, emission reduction mechanism and emission reduction effect of environmental regulation in Western China. The conclusions are as follows: (1) The implementation of the new environmental protection law has effectively reduced the emission intensity of pollutants in the western region, and the emission reduction effect is significant. (2) The emission reduction effect of the new environmental protection Law mainly plays a role through four mechanism variables including the level of urbanization, the level of economic structure, the intensity of scientific and technological investment，the circular production capacity.(3) The level of urbanization, the intensity of scientific and technological investment， the circular production capacity have greater emission reduction effects, while the level of economic structure has less emission reduction effects. (4) The pollution emission intensity in the western region has obvious cumulative lag effect.

Pollution control is an important means to achieve high-quality development of the Yellow River basin，and the policy uncertainty caused by the dynamic game among the limited rational participants under the central government's policy adjustment is the key factor to understand the pollution phenomenon in the Yellow River basin. This paper combines evolutionary game theory with prospect theory,constructs an evolutionary game model among of the central government, local government and polluting enterprises, and explores the effective policy tools for coordinated pollution control in the Yellow River basin under policy uncertainty, and analyze the influence of various parameters on the direction and speed of the evolution of collaborative pollution control. The results indicate that:(1) Intensifying the participants’ perceived value of uncooperative action strategy, and reducing the the participants’ perceived value of cooperative action strategy are a effective way for the system to converge to the optimal evolutionary;(2) The problem of pollution control can be effectively mitigated by improving the cognition degree of local government and polluting enterprises on uncooperative action risk;(3)Improving the awareness of the consequences of local governments and enterprises choosing “weak” actions and enhancing the risk awareness of game players can effectively curb environmental pollution; (4) Under Chinese decentralization, ecological performance appraisal is an important mechanism for improving China’s environmental quality, but it must be based on a perfect screening mechanism and sufficient incentives.