Environmental Pollution Index Research Articles

Foreign direct investment and environmental pollution: A fiscal decentralization perspective

Based on the panel data of 272 prefecture-level cities in China from 2003 to 2017, this study used the comprehensive index of environmental pollution to measure local environmental pollution, and employed the panel simultaneous equation to analyze the relationship between fiscal decentralization, foreign direct investment, and environmental pollution. The results showed that environmental pollution has the characteristics of time inertia and positive spatial spillover; fiscal decentralization and local government competition have a significant “race to bottom” effect on environmental pollution; and with the increase of fiscal decentralization, environmental quality will deteriorate. In the interaction between foreign direct investment and environmental pollution under the system of fiscal decentralization, foreign direct investment aggravates environmental pollution. Meanwhile, if the environmental pollution in a given region is serious, the willingness of foreign investors to invest therein is lessened to a certain extent. Based on the conditions in China, certain policy suggestions are put forward to increase environmental quality, such as building a comprehensive performance assessment mechanism that includes environmental quality, optimizing the decentralization system, and raising the threshold of foreign investment access.

Deep forest regression based on cross-layer full connection

Key process parameters such as production qualities and environmental pollution indices are difficult to be measured online in complex industrial processes. High time and economic costs make only limited small sample data be obtained to build process models, while the deep neural network model requires massive training samples. Although the deep forest algorithm is based on nonneural network structure, it mainly is utilized to effectively address classification problems. Owing to the above problems, a new deep forest regression algorithm based on cross-layer full connection is proposed. First of all, sub-forest prediction values of the input layer forest module are processed to obtain the layer regression vector, which is combined with the raw feature vector as the input of the middle layer forest model. And then, a cross-layer full connection way connecting the former layer regression vector contributes to an augmented layer regression vector. Meanwhile, the deep layer’s number is adaptively adjusted via verifying the validation error. In the end, the output layer forest model is trained by using the augmented layer regression vector originated from the middle layer forest model and the raw feature vector. Sequentially, the maximum information flow is effectively ensured by information sharing. Moreover, the proposed method has the advantages of simple hyper-parameter setting criterion. Simulation results based on benchmark and industrial data show that the proposed method has equal or better performance than several state-of-art methods.

Assessing environmental pollution levels in marinas

Despite the growing interest in recreational boating and the increasing number of marinas along the world's coastlines, environmental knowledge of these ecosystems is still very scarce. Detailed data of pollutants in marinas are necessary to provide a global approach of environmental risks in the context of international management strategies. In the present study, a set of 64 variables (30 in seawater and 34 in sediments) were measured to compare marinas from the Southern Iberian Peninsula (SIP). Uni and multivariate analyses showed significant differences among marinas, evidencing the importance of management on a local scale. The most relevant variables determining these differences were turbidity and the biocide Irgarol 1051 in seawater, and granulometry, hydrocarbons and faecal coliforms in sediment. The use of normalization techniques with Al or Fe, and the suitability of different methodologies to measure Total Organic Matter in marinas were also discussed. Additionally, we perform a comprehensive literature review of worldwide marina stressors and develop a simple and straightforward method for assessing environmental quality. The method was tested using SIP marinas and was based on the comparison of 15 selected sediment stressors with background values, concentrations of worldwide sediment quality guidelines (SQGs), and reference conditions/security thresholds established by the programme of coastal waters in port areas (ROM 5.1). A global score was assigned using a new proposed index, Marinas Environmental Pollution Index (MEPI), ranging from 0 to 150 points according to the environmental quality (<90: bad, 90–120: moderate, >120: good). MEPI of marinas from SIP ranged from 60 to 110 points indicating bad or moderate levels of pollution. Environmental quality is one of the decisive factors for awarding eco-labels or eco-certifications, such as Blue Flags in marinas. Therefore, pollution baseline information and environmental tools are mandatory for correct assignation of these awards and necessary for assessing the efficiency of management actions.

The Complexity of Space Utilization and Environmental Pollution Control in the Main Corridor of Makassar City, South Sulawesi, Indonesia

Population mobility, increasing demand for transportation, and the complexity of land use have an impact on environmental quality degradation and air quality pollution. This study aims to analyze (1) the effect of population mobility, increased traffic volume, and land use change on air quality pollution, (2) direct and indirect effects of urban activities, transportation systems, and movement patterns on environmental quality degradation and air pollution index, and (3) air pollution strategy and sustainable urban environmental management. The research method used is a sequential explanation design. Data were obtained through observation, surveys, in-depth interviews, and documentation. The results of the study illustrate that the business center and Daya terminal with a value of 0.18 µgram/m3 is polluted, the power plant and Sermani industrial area with a value of 0.16 µgram/m3 is polluted, the Makassar industrial area with a value of 0.23 is heavily polluted, and the Hasanuddin International Airport area with a value of 0.04 µgram/m3 is not polluted. Population mobility, traffic volume, and land use changes have a significant effect on environmental quality degradation, with a determination coefficient of 94.1%. The direct effect of decreasing environmental quality on the air pollution index is 66.09%. This study recommends transportation management on the main road corridor of Makassar City, which is environmentally friendly with regard to sustainable environmental management.

Revisiting China’s provincial energy efficiency and its influencing factors

Improving the energy efficiency is a fundamental way to ensure energy security and sustainable development, and is also the requirement of supply-side structural reform of China’s energy. This paper uses the DEA-BCC model to estimate China’s energy efficiency at the provincial level, analyzes its regional differences from 2006 to 2016, and applies a panel data model to analyze the influencing factors of energy efficiency. It selects labor, capital stock and total energy consumption as inputs and takes real GDP and comprehensive index of environmental pollution as desirable and undesirable outputs, respectively. The results show that (1) energy efficiency when undesirable output is included is generally lower than when undesirable output is excluded; (2) There is a considerable difference in energy efficiency among provinces, and China’s energy efficiency, by and large, shows a trend of declining. The energy efficiency of four major regions demonstrates obvious regional differences: coastal region>northeastern region> middle region >western region; (3) The economic development level, technological progress, energy price and urbanization level are positively associated with energy efficiency, while the proportion of secondary industry and the energy consumption structure dominated by coal and oil are negatively correlated with energy efficiency.

Statistical Analysis of Environmental Pollution Impact on Population Morbidity in the Republic of Mari El

The article considers an econometric approach to the analysis of relation between the population morbidity rate depending on ecology and the environmental pollution index. Panel data are used in this approach.The purpose is to find quantitative relations between the state of the environment and public health under the differentiated man-caused load threatening public health in the Republic of Mari El. Materials and methods. The research methods are based on the approaches to correlation and regression analysis of the panel data. In order to identify the environmental pollution index statistically related to the morbidity rate, Pearson and Spearman's correlation coefficients were calculated. Then the regression models for the panel data were developed: a fixed-effect model and a random-effect model. The sources of the panel data are the following: Regional Statistics Office in the Mari El Republic (Maristat), Office of the Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing in the Mari El Republic (Rospotrebnadzor) and Ministry of Healthcare of the Mari El Republic. The data include six air and water pollution indexes and seven priority indicators of the population morbidity rate in 15 municipal districts of the Mari El Republic in the period of 2009–2017.Results. The analysis of the Pearson and Spearman's correlation coefficients helped to identify environmental pollution indexes closely related to the population morbidity rate. These indicators were used as input data of the panel regression model. Three statistically significant panel regression models were identified. They describe the impact of pollution of drinking water from the distributed network on bronchial asthma morbidity among 0–14-aged children diagnosed for the first time in their life; and the impact of emission into the atmosphere of pollutants from the point emission sources on gastritis and duodenitis morbidity among 15–17 aged teenagers diagnosed for the first time in their life.Conclusion. The identified models have biological plausibility. The ethiopathogenetic analysis confirms the possibility of existence of the identified relations. The statistically significant relations between environmental pollution and public health do not prove existence of cause-and-effect links between them. It is statistical demonstration of the hypothesis of their possible existence. This demonstration is an essential work stage to make the hypothesis a hard fact. In the future, it is proposed to use additional, more objective and integral evaluation of environmental quality, for example, the fluctuating asymmetry of bilateral features of biological objects.

The impact of age structure on carbon emission in the Middle East: the panel autoregressive distributed lag approach.

Rapid evolution in the population age structure of the Middle East countries has major economic, social, and environmental outcomes. Therefore, to fill the gap in the previous literatures, in this study, the effect of age structure on environmental degradation was investigated in the Middle East region. To achieve this goal, a panel data of 10 Middle East countries were examined over the period of 1990 to 2014. Moreover, the carbon dioxide emission per capita was used as an environmental pollution index in this study. According to the stationary property of the variables, small sample size data, and the assumptions of the model, the panel autoregressive distributed lag method of mean group, pooled mean group, and dynamic fixed effect estimators were investigated in this study. The empirical results implied that the pooled mean group model emerged as the most efficient among the three estimators. Also, results revealed that the age structure have a significant relationship with environmental pollution. Children and working age population have a positive elasticity, whereas elderly people have negative elasticity. Furthermore, the results showed that the working age population has the greatest explanatory power on the carbon emissions. Also, the relationship between per capita energy consumption and gross domestic product per capita with air pollution was positive. Overall, the empirical results showed that any attempt to decrease carbon dioxide emissions in the Middle East region should consider the population age structure.

Fiscal Decentralization and Environmental Pollution: A Spatial Analysis

Based on annual data over the period 2003 to 2017 covering 31 provinces in China, the environmental pollution index and environmental regulation index are constructed. Moran’s I, the widely used spatial autocorrelation index, is used to analyze the spatial distribution of environmental pollution, which provides a fairly high stability of the positive spatial correlation of environmental pollution. Then, the 0-1 matrix, distance weighting matrix, and economic distance mixed matrix are carried out to weigh space separately. To analyze the impact of fiscal decentralization on environmental pollution, the spatial Durbin model is employed. In the meanwhile, fiscal decentralization is measured from the perspective of both fiscal expenditure decentralization and fiscal revenue decentralization. The results show that the impact of fiscal decentralization on environmental pollution is positive and appears the phenomenon of “race to bottom.” To improve environmental quality, appropriate environmental regulation target, implementing green GDP accounting, and adjusting economic structure should be adopted.

Pollution and contamination assessment of heavy metals in the sediments of Jazmurian playa in southeast Iran

Jazmurian playa was an ephemeral lake with a large catchment in southeast Iran, which dried up over the last 10 years as a result of prolonged drought. As the lake was recipient of incoming industrial water with trace metals deposited to the sediment, the dust is the cause of environmental concern of the region and requires evaluation and better management. The aim of this study was to evaluate the environmental and ecological pollution of Jazmurian playa. Hence, 24 collected surface sedimentary samples were analyzed with ICP-OES. The environmental pollution indices including degree of contamination (Cd), geoaccumulation index (Igeo), enrichment factor (EF), pollution load index (PLI) and potential ecological risk (PER) were determined. The study revealed moderately to strongly pollution levels of Pb, Ni and Al, while Dy, Pb, Y, Yb, Sm, Te, U, Cu, Mn, Sc represented moderate pollution. The EF values indicated four sites were highly enriched with Dy, Pb and Ni. The PER results showed high risk for four sites and considerable risk for others. Cluster analysis illustrated interconnection between the contaminants and the sites with major pollution at six sites. Obviously, climate change has considerable complex environmental impacts through transformation of local water and sediment pollution problem.

Effects of Officials' Cross-Regional Redeployment on Regional Environmental Quality in China.

Cross-regional redeployment (or relocation) of government officials has a significant effect on the local economic development and environmental protection. Based on the panel data of 31 provinces (municipalities) in China from 2001 to 2016 and the environmental pollution index obtained by Entropy method, the dynamic panel regression model was applied to verify the relationship between the officials' cross-regional redeployment and environmental pollution. The results show that environmental pollution was positively correlated with officials' relocation and their tenure after the redeployment. As the officials' tenure increases to the critical value, the positive correlation between the official's tenure and environmental pollution would change. By measuring this threshold, we find that the average critical value for China was 5.14 years, which were the same as the average tenure of Chinese officials. Moreover, the result also illustrates the difference between central eastern China and western China, with the average threshold being 4.01 years and 5.89 years, respectively. In addition, the impact of officials' cross-regional redeployment on the environment would also be affected by the initial condition of the region. According to the result, the environmental governance within the central eastern regions was better than that in the western region. In the last part of this paper, we proposed measures and suggestions, such as changing the incentive policies of officials, perfecting the local policies and the cultivate and exchange system of cadres, as well as strengthen the power of social supervision, for the sake of facilitating the healthy and green development of the regional economy.

Environmental pollution and geo-ecological risk assessment of the Qhorveh mining area in western Iran

In order to evaluate the effect of mining activity on the environment of the Qhorveh mining area in the west of Iran, the geological, ecological and environmental data, related to social development and regional economic status, were used. The geological data included seven sub-indices, such as vegetation coverage, land utilization type, and fault activity; ecological data, with two sub-indices, such as degree of ecological environment recovery; and finally, environmental data, with three sub-indices, such as soil and dust pollutions. These were selected based on the literature and expert opinion which were utilized for environmental pollution and geo-ecological (EPGE) risk assessment of the study site. Remote sensing (RS) image, field sampling, digital elevation map, and data retrieved from different government agencies were used to generate layers for the sub-indices in the geographic information system (GIS) environment. In addition, the analytical hierarchy process (AHP) method was used to determine the weight of sub-indices. Five levels consisting of best, good, middle, poor and worst were used to describe the EPGE risk assessment of the Qhorveh mining area. Results showed that worst and poor levels of EPGE risk are in the east and northeast of the study area where the gold and pumice mines are located while best and good levels of EPGE risk are in its center where the stone mines are located. According to the results of this research, the EPGE risk assessment of the Qhorveh mining area is affected by the environmental pollution index with its highest weight (0.3908). It can be concluded that the integration of the RS, GIS and AHP methods proposed in this study improved the evaluation quality of EPGE risk assessment.

Research on Evaluation of Regional Ecological Innovation Efficiency in Anhui Province

With the development of technology, the negative effects brought about by innovation have become more and more attractive. But there are few studies on the relative efficiency of input and output in a region. Since the input and output of a region are multidimensional variables. Therefore, this paper adopts the DEA method, first analyzes 16 cities in Anhui Province without environmental pollution index, and finds that Hefei is in an inefficient region with decreasing scale. Under the same input, it is necessary to improve the efficiency of technology input. After introducing the environmental index, Hefei has reached the effective input standard, and four cities have not reached the effective decision-making unit. Among them, Maanshan, Xuancheng and Anqing are in the stage of increasing returns to scale. For these three regions, technology investment can be increased. . Based on the results of the above data analysis, the corresponding measures are proposed and the direction of policy designation is indicated. Keywords: ecological innovation; efficiency; environmental pollution index; Anhui DOI : 10.7176/JLPG/87-07 Publication date :July 31 st 2019

Spatial-temporal evolution characteristics and influencing factors of county-scale environmental pollution in Jilin Province, Northeast China

Based on pollutant emissions and social-economic data during 2011 and 2015, we selec-ted the total emission index of four pollutants, including the industrial source, agricultural source, and urban living source. The comprehensive index of environmental pollution and sub-source pollution index were built to reflect the pollution of Jilin Province at county scale. Furthermore, the Moran's I, spatial-temporal transition analysis, and standard deviation ellipse analysis were used to quantitatively examine the spatial-temporal evolutionary characteristics of environmental pollution in Jilin Province. A spatial econometric model was built to analyze the influencing factors of environmental pollution. The results showed that environmental pollution in Jilin Province presented spatial agglomeration characteristics, which was mainly concentrating in central areas such as Changchun and Jilin cities. There were obvious regional differences in the spatial distribution of environmental pollution from different sources. There were spatial correlation of the total environmental pollution and agricultural source pollution separately at county scale in Jilin Province. The correlation structure stability of the spatial distribution of environmental pollution was high, which had path locking characteristic. The spatial distribution of environmental pollution showed a northwest-southeast distribution pattern and a spread from the center to the surroundings. The barycenter of environmental pollution moved in the area between 43.65-43.66° N and 125.83-125.84° E. The level of regional economic development, urbanization level and agricultural production were main driving factors for county-scale environmental pollution and industrial source pollution. The adjustment and optimization of industrial structure had improved the overall environmental pollution and industrial source pollution situation. Overuse of chemical fertilizers significantly increased agricultural source pollution. The level of economic development and urbanization were the main drivers of urban living source pollution. The overall environmental pollution and agricultural source pollution had spatial diffusion effects, and their pollution status was closely related to the overall environmental pollution and agricultural source pollution status in adjacent areas, respectively.

HYGIENIC ASSESSMENT OF HEALTH RISK FACTORS FOR POPULATION OF MEGAPOLISIS’SATELLITE TOWNS BY THE EXAMPLE OF LENINGRAD REGION

Minor towns with population size of 50-100 thousand people are much rarely studied in regards of the ecological-hygienic assessment of human environment, in spite of the fact that they are characterized by specific ecological problems. The objective of the study was the hygienic assessment of the impact of urban environment on population health status in Tikhvin and Gatchina towns of the Leningrad region. Morbidity rate in the population of Tikhvin and Gatchina in 2005-2015, atmospheric emissions of industrial enterprises, findings on monitoring for both atmospheric air pollution and centralized drinking water supply, as well as motor transport noise levels were studied. Population health risk stipulated by industrial emissions and noise exposure was calculated. Statistical data treatment with correlation analysis of the relationship between environmental pollution indices and population morbidity was carried out. The study revealed increased atmospheric air pollutant concentrations in Gatchina, which might be connected with motor transport effect. Acute non-carcinogenic risk levels resulting from air pollutants are on the borderline of the admissible level, while in Tikhvin town those values are significantly lower. Estimated concentrations of atmospheric pollutants produced by industrial emissions are by 1.5-2 times lower than the actual levels shown by monitoring. Noise levels and predicted health risks in Gatchina are on the borderline of the admissible level, while in Tikhvin they are significantly reduced. The statistically significant gain in the general primary morbidity rate indices due to respiratory diseases in Gatchina town, correlated with atmospheric air pollution, was revealed. Our study showed that despite the presence of large industrial enterprises in studied towns, motor transport proved to be the key factor that forms air pollution and noise load, more typical of large cities.

ORGANIZATION OF AN INTERREGIONAL MONITORING SYSTEM USING GIS TECHNOLOGIES BY THE EXAMPLE OF RUSSIAN FEDERATION ARCTIC ZONE

Development of social and hygienic monitoring (SHM) system as a means of ensuring sanitary-epidemiological wellbeing of the population of Russian Federation is one of the main activities of the Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing. The authors analyzed the current state of organization of SHM: lists of control points of human-environment factors and laboratory test findings; information collection techniques and systematization; procedural approaches to automation of data collection, processing and visualization.SHM is legally assigned to control measures, during which the interaction of state and municipal control bodies with legal entities and individual entrepreneurs is not required. The further SHM development is reported to be restrained by a number of organizational -technologic and financial- economic problems: analysis of sanitary-epidemiological wellbeing state among population has shown that according to SHM, interregional aspects are not taken into account; procedural approaches to the choice of control points and formation of environmental pollution indices lists, as well as the assessment procedure of social and economic efficiency of SHM, have not been properly worked out; the number of departments and experts specialized in SHM and responsible for it is decreasing, and etc. A model of interregional social-hygienic monitoring as a way of SHM improvement is suggested. Its aims include the quality increase of expert-and-analytical SHM data processing within the entire RF Arctic zone; consideration of factors affecting population health and having interregional character. Departments and Federal State Healthcare agencies named “Centers of Hygiene and Epidemiology” in various subjects of the Russian Arctic and the Federal Service for Supervision in Protection of the Rights of Consumer and Man Wellbeing research institutions will participate in the interregional SHM. A concept of GIS portal of the Russian Arctic based on geo-information system and aimed to improve SHM is developed. It can be a comprehensive electronic database of human-environment factors and population health state, as well as an effective instrument with spatial analysis function for the assessment of sanitary and epidemiological wellbeing of the population.

Is there any link between economic growth and earth's environment? Evidence from 127 countries for the period 2007–2015

ABSTRACTWe investigate the relationship between economic growth and the earth's environment in 127 developing countries spreading all across the globe (Asia, Africa, Americas, Europe, and Polynesia) from 2007 to 2015. We use random effect estimation technique to check for an inverse U-shaped curve, or ‘Environmental Kuznets Curve (EKC)’. From our empirical results, we do not find any substantiation for this hypothesis. On the contrary, the empirical evidence suggests that there is an inverse U-shape relationship between environmental performance of a country and the per capita GDP for that country, which implies that, as per capita GDP increases, environmental performance improves but beyond some point, it starts to decrease resulting in an inverse U-shape curve. We alternately use the Growth Rate of GDP and GDP in constant 2010$ to obtain comparable results. We also use the average PM 2.5 air pollution, mean annual exposure (AU) of the World Development Indicators as an index of environmental pollution. When we replace EPI with AU and re-run the random effect model, find no evidence supporting EKC hypothesis, rather a U-shape curve and not an inverted U.

Research on influencing factors of environmental pollution in China: A spatial econometric analysis

As the problem of China's environmental pollution is becoming more serious, people have paid more attention to the environmental pollution control. In this paper, we first built a comprehensive environmental pollution index including sulfur dioxide, smoke and dust, wastewater and solid waste emissions to measure the environmental pollution of each province synthetically. The method of space econometrics was then applied to analyze the main influencing factors of environmental pollution. Three conclusions were drawn from the empirical results. First, there is a significant spatial correlation between environmental pollution of different provinces. Second, there exists an inverted N relationship between environmental pollution and the economic development, moreover, most provinces have not arrived the second turning point of the inverted N curve except for several economically developed provinces. Third, both industrial structure and R&D investment have a significant influence on environmental pollution, while the influence of FDI is not significant. All these imply the necessity to establish a regional joint prevention and control mechanism to cope with the increasing environmental pollution.

Quantitative assessment of eco-environmental stress of Anhui Province (China) using the eco-environmental stress index

The eco-environmental stress index (ESI) is used to quantitatively assess the stress caused by economic development to the environment. This study analyzed environmental and economic data for the period 2000-2014 in the Anhui Province (China) and quantified eco-environmental stress in every city of the Province for the year 2014 to provide the springboard for sustainable development strategies in the area. The results show increasing eco-environmental stress in the Anhui Province, driven by significant increase in the annual resource and energy consumption. The highest eco-environmental stress during 2014 was observed in the Hefei City, followed by Ma’anshan and Huainan. While the Hefei and Ma’anshan cities had the highest consumption of energy and resources, the environmental pollution index was relatively small, in contrast to the city of Huainan. Minimum stress was observed in the Huangshan City. This study highlights the necessity for green strategies in the Anhui Province to reduce eco-environmental stress and ensure a sustainable future for the Province and its citizens.

EPIDEMIOLOGY OF DISEASES OF THE DIGESTIVE SYSTEM IN CHILDREN AND ADOLESCENTS OF THE KRASNODAR TERRITORY

Objective of the study: study of the influence of unfavourable environmental factors on the prevalence and structure of diseases of the digestive system in children and adolescents of the Krasnodar Territory. We examined 9,020 children aged 1–18 in 47 districts and towns of the Krasnodar Territory during the specialized medical examinations. Diseases of the digestive system were diagnosed in 2,454 individuals. Medical history of children was studied, blood, urine, faeces, laboratory and functional tests were analyzed. The environmental state of all territories of the region was studied using the method proposed by the author. The influence of man-caused atmospheric emissions, pesticides introduced into the soil and untreated wastewater discharged into water bodies on the prevalence of diseases of the digestive system and structure, depending on age and sex was assessed. Results. Epidemiological indicators of diseases of the digestive system in children and adolescents were studied in 47 administrative territories of the region, divided into three zones with different levels of environmental pollution. It is established that the degree of environmental pollution, determined using the integral index of environmental pollution, significantly influences the prevalence of gastroenterological pathology and its structure. Age and sexual dependence of the prevalence of diseases of the digestive tract in the environmentally favourable, conditionally favourable and unfavourable territories of residence was determined.

Study of site suitability assessment of regional wind resources development based on multi-criteria decision

This paper proposed an evaluation method based on Ordered Weighted Average (OWA) and Geographic Information System (GIS) to evaluate the suitability of the development of wind energy resources. An evaluation index system was established on the ecological, environmental and socio-economic perspective. It consisted of three criteria (ecological characteristics, socio-economic characteristics and social environment characteristics) and twenty-six sub-criteria (sensitivity of nature reserve, value of ecological service, distribution of wind energy resources, atmospheric environmental pollution index, etc.). Analytic hierarchy process and fuzzy quantitation method were used to determine to the criterion weights and order weights of the relevant indexes. OWA and GIS were jointly employed to construct the framework of zonal suitability analysis. Using this method, the suitability of wind energy development in Liaoning province was analyzed and the spatial distribution characteristics of wind energy development suitability under different decision were obtained. Combined with the results of regional wind energy resource distribution, the technical exploitation amount of wind energy resources was obtained under different suitability grades. The study found that the suitable site selection mainly distributed in the Huludao, Jinzhou and Yingkou beach areas and shoreline of the Bohai Sea, Fuxin and Chaoyang in the northwest Area, Dandong alpine region in the eastern Shenyang, Tieling and Anshan in central plain areas.