Do foreign direct investments influence environmental degradation? Evidence from a panel autoregressive distributed lag model approach to low-, lower-middle-, upper-middle-, and high-income countries

Environmental Science and Pollution Research - The main aim of the present study is to examine the possible nonlinear relations between foreign direct investments and environmental deterioration...     

Asymmetric macroeconomic determinants of CO2 emission in China and policy approaches

Environmental Science and Pollution Research - Since the nonlinear ARDL approach is introduced in advanced econometric, some old relationships are getting new empirical attention. Therefore, we...     

The diminishing marginal contribution of R&D investment on green technological progress: a case study of China’s manufacturing industry

Environmental Science and Pollution Research - One of the ways to fight against global warming is by means of green technological progress. This paper explores the nonlinear relationship between...     

Research on the nonlinear dynamic relationship between FDI and CO2 emissions in the “One Belt,One Road” countries

Environmental Science and Pollution Research - This study examines the relationship between FDI and CO2 emissions in a nonlinear framework using data from countries along the “One Belt, One...     

Inward foreign direct investment,outward foreign direct investment,and carbon dioxide emission intensity-threshold regression analysis based on interprovincial panel data

Environmental Science and Pollution Research - Based on the panel data of 30 provinces (except for Tibet, Hong Kong, Macao, and Taiwan) in China from 2005 to 2016, a nonlinear threshold regression...     

Proposed formulation of surface water quality and modelling using gene expression,machine learning,and regression techniques

Environmental Science and Pollution Research - The rising water pollution from anthropogenic factors motivates further research in developing water quality predicting models. The available models...     

Geographic information system–assisted site quality assessment for hazelnut cultivation using multi-criteria decision analysis in the Black Sea region,Turkey

Environmental Science and Pollution Research - Developing land suitability models for strategically critical agricultural products to expand sustainable agricultural policies and sensitive...     

Coupled Monte Carlo simulation and Copula theory for uncertainty analysis of multiphase flow simulation models

Environmental Science and Pollution Research - Simulation-optimization techniques are effective in identifying an optimal remediation strategy. Simulation models with uncertainty, primarily in the...     

Occupational exposure to gasoline in gasoline station male attendants promotes M1 polarization in macrophages

Environmental Science and Pollution Research - Several studies have reported the toxicological implications of exposure to petroleum hydrocarbon fumes in animal models. There is little...     

A novel analytical model of solute transport in a layered aquifer system with mixing processes in the reservoirs

Environmental Science and Pollution Research - Analytical models of solute transport have been widely used to aid the understanding of the physical and chemical processes undergone by substances...     

Research progress of the POP fugacity model: a bibliometrics-based analysis

Environmental Science and Pollution Research - With the emergence of environmental issues regarding persistent organic pollutants (POPs), fugacity models have been widely used in the concentration...     

The varying roles of the dimensions of affluence in air pollution: a regional STIRPAT analysis for Germany

Environmental Science and Pollution Research - STIRPAT models investigate the impacts of population, affluence, and technology on the environment, with most STIRPAT studies revealing positive...     

Employing sensitivity analysis to catchments having scanty data

Environmental Science and Pollution Research - Sensitivity analysis (SA) is generally desirable for parameter optimization, mapping, and calibration in hydrological models, yet the implementation...     

Application and validation of a biotic ligand model for calculating acute toxicity of lead to Moina dubia in lakes of Hanoi,Vietnam

Environmental Science and Pollution Research - It is increasingly being recognized that biotic ligand models (BLMs) can successfully predict the toxicity of divalent metals toward aquatic biota...     

Fuzzy system models combined with nonlinear regression for daily ground-level ozone predictions

This study focuses on applying a Takagi–Sugeno fuzzy system and a nonlinear regression (NLR) model for ozone predictions in six Kentucky metropolitan areas. The fuzzy “c-means” clustering technique coupled with an optimal output predefuzzification approach (least square method) was used to train the Takagi–Sugeno fuzzy system. The fuzzy system was tuned by specifying the number of rules and the fuzziness factor. The NLR models were based in part on a previously reported, trajectory-based hybrid NLR model that has been used for years for forecasting ground-level ozone in Louisville, KY. The NLR models were each composed of an interactive nonlinear term and several linear terms. Using a common meteorological parameter set as input variables, the NLR models and the Takagi–Sugeno fuzzy systems model exhibited equivalent forecasting performance on test data from 2004. For all 2004 ozone season forecasts for the six metropolitan areas, the mean absolute error was 8.1 ppb for the NLR model and 8.0 ppb for the Takagi–Sugeno fuzzy model. When a nonlinear term (which was part of the NLR model) was included in the fuzzy model, the combined NLR–fuzzy model had slightly better performance than the original NLR model. For all 2004 metropolitan area forecasts, the mean absolute error of the NLR–fuzzy model forecasts was 7.7 ppb. These small differences may be statistically significant, but for practical purposes the performance of the fuzzy models was equivalent to that of the NLR models.     

An evaluation of the impact of natural ecotourism on environmental pollution

Environmental Science and Pollution Research - The existing models that measure the environmental pollution impact of ecotourism suffer from the problems of low success rate and poor accuracy. We...     

污水处理工艺系统优化设计理论的研究与发展

综述了污水处理工艺系统优化设计理论研究的发展历史 ,分析总结了优化设计模型研究的发展规律以及需要解决的关键性问题 ;详细介绍了几个具有典型代表性的非线性系统优化模型的结构及寻优方法 ;从 6个特征方面横向比较了部分优化数学模型的研究成果 ;结合国内研究动态提出了对该领域研究前景的展望     

Analysis of the PM2.5 emission inventory and source apportionment in Jilin City,Northeast of China

Environmental Science and Pollution Research - This study collected and compiled statistical data on atmospheric pollution in Jilin City, China during 2013–2014, using models and methods to...     

Recent advancements in the challenges and strategies of globally used traffic noise prediction models

Environmental Science and Pollution Research - It is the need of an era to develop efficient traffic noise prediction models with optimum accuracy. In this context, the present work tries to...     

Prediction of effluent arsenic concentration of wastewater treatment plants using machine learning and kriging-based models

Environmental Science and Pollution Research - This study evaluates the potential of kriging-based (kriging and kriging-logistic) and machine learning models (MARS, GBRT, and ANN) in predicting the...