The water supply to Chinese cities is increasingly degrading from pollution due to watershed activities. Consequently, water source protection requires urgent action using optimal land-use management efforts. An inexact linear programming model for optimal land-use management of surface water...

The building industry in China has huge potential capacity for energy/resources conservation and pollutants reduction to achieve sustainable development. However, stakeholders are hardly able to reach a consensus on preferential needs and effective solutions, which was a difficulty faced by...

Streamflow statistics are commonly used for purposes of planning and managing water resources in the Susquehanna River Basin. For accurately estimating streamflow statistics, it is important to identify whether there are increasing or decreasing changes during the period of records and whether...

Taking wollastonite as raw material, aluminium sulfate and water glass as coating modifier, a new type of wollastonite coated with nano-aluminium silicate powder-materials was obtained by chemical depositing method. By modificating this powder-materials with silane and filling it in PA6, the PA6...

<Para ID="Par1">Studies of water resources carrying capacity (WRCC) can provide helpful information about how the socio-economic system is both supported and restrained by the water resources system. As such, there is a need to develop better quantitative assessment methods to determine the potential maximum...</para>

The economic crisis created major problems for a successful, hi-tech Chinese company – Tonsan. They already had in place a performance management system based around the balanced scorecard which worked successfully in times of growth and high demand. However, with the world downturn they...

It is well known that the discrimination power of data envelopment analysis (DEA) models will be much weakened if too many input or output indicators are used. It is a dilemma if decision makers wish to select comprehensive indicators, which often have some hierarchical structures, to present a...

High-dimensional data analysis has motivated a spectrum of regularization methods for variable selection and sparse modeling, with two popular methods being convex and concave ones. A long debate has taken place on whether one class dominates the other, an important question both in theory and...