【摘要】 采用遗传规划法和相关系数法识别影响鱼类资源量的关键水文指标,结果显示坝下经济鱼类天然捕捞产量与年最大流量、高流量脉冲历时、10月和12月的月均流量正相关;四大家鱼鱼苗丰度与涨水率、7日最大流量、5月和6月的月均流量正相关;中华鲟繁殖群体数量与基流指数和涨水率呈正相关,与年最小流量、日均流量逆转次数负相关。这些水文指标分别反映了流量的量值、变化率和历时等特征对鱼类的影响。建立了关键水文指标与鱼类资源量之间的非线性函数关系式,通过对比计算值与实测值发现遗传规划法的拟合效果明显优于相关系数法,表明遗传规划法更适用于识别影响鱼类资源量的关键水文指标。更多还原

【Abstract】 Genetic programming and correlation coefficient methods were used to identify the key hydrologic indicators of fish resources. The results show that the fish biomass downstream of the dam is positively correlated with the annual maximum flow,high pulse duration and the average monthly flow in October and December. The biomass of the four major Chinese carps is positively correlated with the rise rate of water level,7-day maximum flow and the average monthly flow in May and June. The biomass of the Chinese sturgeon is positively correlated with the base flow index and the rise rate of water level,but it is negatively correlated with the annual minimum flow,and the number of daily hydrologic reversals.These pertinent hydrologic indicators reflect the influences of the magnitude,change rate and duration of water discharge on fish. Nonlinear functions are established between pertinent hydrologic indicators and fish resources. By comparing the simulated values with the observed ones,it can be concluded that the genetic programming method is more suitable than the correlation coefficient method for identifying the key hydrologic indicators affecting fish resources.更多还原