An Adaptive Water Resources Management Framework With Combined Policies to Confront Adverse Effects and Risks Due to Population-industry Transformation Into a Floodplain Area

In this study, an adaptive water resource management framework with combined policies (AWFP) is developed for mitigating adverse effects on water resource in a floodplain area due to population-industry transformation in context of coordinative development of urban agglomeration. A location-entropy based PVRA model (LE-PCRA) and coupla-risk analysis (CRA) can be introduced to reflect the adverse effects of industrial information and driven population on water resources; meanwhile risks (including water shortage, soil loss and flood control) and corresponding correlations have been shown in the risk maps. Moreover, an adaptive scenario analysis based stochastic-fuzzy method (ASSF) can be embedded into an AWFP to deal with multiple uncertainties and their interactions due to subjective and artificial factors. The proposed AWFP is applied to a practical case study of Yongding river floodplain region for confronting adverse effects on water resources due to population-industry transformation in the context of coordinative development of Beijing-Tianjin-Hebei urban agglomeration, China. The results were obtained to reflect the negative effects of population-industry transformation and corresponding water allocation patterns in floodplain, which is effective to confront natural and artificial damages (such as water deficit, water and soil loss, and flood damage), risks and function degradation of floodplain contemporarily. Meanwhile, various policy scenarios (such as farmland returning to wetland, improvement of water resource utilization efficiency, water diversion and flood control) can be analyzed to support adjusting current population-economy strategies and water management patterns to accommodate source function of floodplain with a risk-averse and sustainable manner.

Regional Economic and Social Harmonious Degree Evaluation Model Using Intuitionistic Fuzzy Set

The harmonious degree is an essential factor evaluating the coordinative development of economy and society. It’s a typical multi-criteria evaluation problem to access the degree. For the vagueness and uncertainty of assessing information, an evaluation model using intuitionistic fuzzy set is proposed in this paper to assess regional economic and social harmonious degree objectively. In the model, the initial weight is set by intuitionistic fuzzy entropy, the correction weight is set according to the common people’s preference of subjective emotion, Thus the combination weight is get by merging the above two weights. And the assessing score is calculated by weighted aggregation operator integrating the assessing information. Finally, an example assessing the harmonious degree of five cities in Pearl River Delta of China shows the effectiveness of the model.

Analysis on Land-Use Expansion in the Process of Urbanization in Shiyang River Basin

The Shiyang River Basin is one of the key research areas of sustainable economic and social development in the river basins of China. In order to figure out the mechanism of land-use expansion in the process of urbanization of Shiyang River Basin, the paper intends to carry out the evaluation of land-use expansion because of urbanization from the perspectives of social economy, regional transportation and ecological environment. By taking advantage of the land suitability evaluation method, it makes out the spatial framework of possible areas for urban expansion so as to provide suggestions for the further coordinative development of urbanization in the basin area as well as of the ecological zones.