Resources and Environment in the Yangtze Basin

Mobile observation improves the accuracy and coverage of environmental monitoring, and can locate and track pollution sources. We conducted mobile monitoring to obtain real-time atmospheric pollutants (PM2.5, PM10, SO2, NO2, CO and O3) in typical areas, which included a country park and a tourist attraction featuring an ancient town in the Yangtze River Delta Eco-Green Integrated Development Demonstration Zone (Demonstration Zone), China. Results show that the concentrations of the six key pollutants in the ancient town were usually higher than that in the country park, due to high intensit

With accelerating urbanization, the regional ecological security pattern (ESP) faces unprecedented threats. The situation is particularly serious in the Loess plateau of China (LPC) due to the fragile ecological environment and poor natural conditions. Constructing an ecological network and optimizing the ESP is significant for guiding regional development and maintaining the stability of the ecological process. This study constructed an ecological security network by integrating the minimum cumulative resistance (MCR) model and morphological spatial-pattern-analysis approach in LPC. Additi

The Yangtze River Basin occupies an important position in the overall layout of China’s economic development. However, due to the increasing water pollution, the environment of the Yangtze River Basin continues to deteriorate, which hinders the long-term development and sustainable development goals of the Yangtze River Economic Belt. Therefore, this study started from the perspective of the reduction of coordinated pollution carbon. Then, through empirical analysis, the impact of environmental regulation measures in the Yangtze River Basin on industrial pollution control was studied.

Understanding the evolutionary characteristics of innovation network structure can improve urban innovation and regional construction. Urban innovative development is affected by various factors, which can be analyzed via models of innovation networks. We establish a multi-criteria evaluation system of innovation capability and use an improved gravity model to construct an innovation network for 2015–2018, employing social network methods to analyze structural characteristics and spatial patterns. Results show that: (1) The innovation of cities in the urban agglomeration in the middle

Understanding the evolutionary characteristics of innovation network structure can improve urban innovation and regional construction. Urban innovative development is affected by various factors, which can be analyzed via models of innovation networks. We establish a multi-criteria evaluation system of innovation capability and use an improved gravity model to construct an innovation network for 2015–2018, employing social network methods to analyze structural characteristics and spatial patterns. Results show that: (1) The innovation of cities in the urban agglomeration in the middle