Goal-oriented insect farming and processing can alleviate the dilemma faced by the industrialization of insect resources

Insects are the most widely distributed and most abundant biological resources on earth,and are as precious a biological resource as plants and microorganisms.With the increasing population pressure and the serious shortage of food resources,insects as an ideal food substitute have gradually been paid more attention by scientists.In addition to being used as food and feed,the application value of insects in waste treatment,medicine and other aspects(such as ornamental and pollination)has also been widely recognized around the world.However,industrialization of insect resources still faces many challenges in terms of acceptability,safety,nutrition and productivity.We argue that insect mass production should be purpose-oriented and targeted cultivation.For example,insects used for food and feeding should be safe,tasty and nutritious.Insects used for waste disposal should maximize their survival rate and their conversion rate of the waste.For insects with medicinal significance,it is necessary to clarify their medicinal active ingredients and related pharmacological mechanism,and to cultivate insect strains with high content of active ingredients by proper induction.A goal-driven development strategy will help to avoid the risk of the insect industry technically and managerially.

ENHANCING RAINFALL-RUNOFF POLLUTION MODELING BY INCORPORATION OF NEGLECTED PHYSICAL PROCESSES

The growing need to mitigate rainfall-runoff pollution,especially first flush,calls for accurate quantification of pollution load and the refined understanding of its spatial-temporal variation.The wash-off model has advantages in modeling rainfall-runoff pollution due to the inclusion of two key physical processes,build-up and wash-off.However,this disregards pollution load from wet precipitation and the relationship between rainfall and runoff,leading to uncertainties in model outputs.This study integrated the Soil Conservation Service curve number(SCS-CN)into the wash-off model and added pollutant load from wet precipitation to enhance the rainfall-runoff pollution modeling.The enhanced wash-off model was validated in a typical rural-residential area.The results showed that the model performed better than the established wash-off model and the commonly-used event mean concentrations method,and identified two different modes of pollution characteristics dominated by land pollution and rainfall pollution,respectively.In addition,the model simulated more accurate pollutant concentrations at high-temporal-resolution.From this,it was found that 12%of the total runoff contained 80%to 95%of the total load for chemical oxygen demand,total N,and total P,whereas it contained only 15%of the total load for NH4+-N.The enhanced model can provide deeper insights into non-point pollution mitigation.

The influencing factors of the WTP for the risk reduction of chemical industry accidents in China

To explore the factors that influence respon- dents＇ willingness to pay （WTP） for the risk reduction of chemical industry accidents, a questionnaire survey combined with contingent valuation and psychometric paradigm methods were conducted in the city of Yancheng, Jiangsu Province, China. Both traditional socioeconomic variables and perceived characteristics of the hazards were considered in this study, and a Tobit model was used to find the factors influencing WTP under three risk reduction scenarios. The results showed that three demographic characteristics, age, gender, and income, significantly affected the WTP for chemical risk reduction. In addition, three extracted public risk perception factors, effect, knowledge, and trust, also strongly affected the WTP. The mean WTP value increased as the magnitude of the risk reduction increased. The number of factors influencing the WTP decreased as the reduction level improved, and only the effect factor had a significant influence on the WTP for a higher level （80%） of risk reduction. The cost for chemical safety management of Yancheng was calculated, and the optimized risk reduction level was determined. These findings can assist governments and policy makers to formulate suitable strategies for risk control, to reach target groups of people to develop effective communication, and to provide specific refer- ences for the best investment for the security of local residents.