Search

The presence of heavy metals in soil significantly impacts human agriculture and livelihood. The Yellow Rive plays a crucial role in the country's economic and social development as well as ecological security within its basin. After conducting measurements on the distribution of heavy metals As, Hg, Cu, Pb, Cd and Cr in the soil of Heze - Tai 'an section of the Yellow River Basin, the degree of soil heavy metal pollution in the investigation area was analyzed and evaluated using potential ecological risk index. The anal- ysis revealed that the concentration ranges of Cd, Cr, Cu, Pb, As and Hg were 0.054-1.109, 22.40-427.28, 6.00-108.40, 9-58.1, 1.5-46.8 and 0.002-0.706 mg/kg, respectively. The average value of the individual eco- logical risk index is in the following order: Cd > As > Hg > Cu > Pb > Cr. The ecological risk of Cu, Pb and Cr is low, while the risk of Cd and As is moderate, which is mainly caused by coal mining and chemical enterprises.

Regional comprehensive energy is the focus of current research, and electric vehicles are an important part of regional energy. The orderly participation of regional EV groups in demand response for optimal scheduling of charge and discharge can not only save the charging cost of EV owners, but also smooth the load fluctuation caused by EV charging. In this paper, an Integrated Energy Electric Vehicle Scheduling Model Based on Prospect Theory is proposed. Firstly, the optimal charging and discharging strategy of each Electric Vehicle is obtained Based on the price demand response Model. Secondly, a decision-making method of participation willingness based on the prospect theory is proposed to consider the risk bias of EV owners. Finally, a case study is provided to verify the effectiveness of the proposed method. Compared with electric vehicles participating in random charging, the optimization model proposed in this paper reduces the cost by 32% and the average hourly load by 67%.