<p>Currently, the emergency methods we rely on to address environmental emergencies have significant deficiencies in management standardization, decision-making efficiency, and emergency technology selection. Therefore, developing an efficient emergency decision-making model is crucial. This paper proposes a new decision-making method: a normal bipolar fuzzy number-based prospective simultaneous evaluation of criteria and alternatives (SECA) for emergency decisions in environmental emergencies. This method can accurately express the two-way evaluation information of emergency plans or technologies and integrate experts’ risk preferences, assisting relevant departments in quickly and accurately determining the optimal emergency plans or technologies. The system first defines normal bipolar fuzzy numbers, their operational rules, the likelihood of the NBFN preference relation, and the distance measure. Considering the bidirectional characteristics of fuzzy numbers, this paper introduces the normal bipolar fuzzy number bi-direction Choquet integral operator, which effectively considers the intercorrelation among experts. Secondly, although the SECA method can simultaneously determine attribute weights and the ranking of alternatives, determining the key parameter in this method remains an important but unresolved issue. Based on an in-depth understanding of the mathematical principles of the SECA method, this paper proposes a formula to determine the parameter. At the same time, considering the risk aversion tendency of experts when facing environmental emergencies, this paper constructs a new normal bipolar fuzzy number-based prospective SECA decision-making method. Finally, through a case study of emergency technology selection for environmental emergencies involving hazardous chemicals, the scientific validity and effectiveness of the model were confirmed.</p>