CAJ | 학술논문

基于最严格的水资源管理制度和水资源承载能力的内涵,重新确定水资源承载能力评价的指标体系,构建广义回归神经网络(GRNN)水资源承载能力评价模型,应用于苏州市水资源承载能力评价,并将评价结果与采用模糊综合评价的结果进行比较.结果表明:两种评价结果相符;结合用水总量控制、用水效率控制和限制纳污所建立的指标体系更加科学、更加符合经济社会的发展需求;苏州市水资源承载能力状况由2004年之前的较低水平逐渐恢复,这种变化与苏州市经济增长模式的转变和产业结构的调整密切相关.
기우최엄격적수자원관리제도화수자원승재능력적내함,중신학정수자원승재능력평개적지표체계,구건엄의회귀신경망락(GRNN)수자원승재능력평개모형,응용우소주시수자원승재능력평개,병장평개결과여채용모호종합평개적결과진행비교.결과표명:량충평개결과상부;결합용수총량공제、용수효솔공제화한제납오소건립적지표체계경가과학、경가부합경제사회적발전수구;소주시수자원승재능력상황유2004년지전적교저수평축점회복,저충변화여소주시경제증장모식적전변화산업결구적조정밀절상관.
@@@@Based on the strictest systems for water resources management and the meaning of water resources carrying capacity, an index system was established for evaluation of water resources carrying capacity .The generalized regression neural network (GRNN) was employed to build an evaluation model .This model was applied to the evaluation of the water resources carrying capacity of Suzhou City .The evaluation results were compared with those obtained with the fuzzy comprehensive evaluation model .The comparison shows that the results of the two models were consistent, and the index system that considers the total water consumption control , water utilization efficiency control, and water pollutant admission limitation was more scientific and adaptable to socio -economic development.The water resources carrying capacity of Suzhou City has gradually recovered since 2004, when it was at a low level.This was closely related to the industrial adjustment and economic growth mode transformation in Suzhou City.