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The dietary protein requirement of juvenile turbot(initial average weight, 38.2 g ± 0.1 g) reared indoor in aerated aquaria was determined in this study. Five energy equal experimental diets were formulated with fish meal as protein source, which contained different concentrations of protein(47.2%, 51.0%, 54.6%, 59.3% and 63.6% of dry diet). Three groups of fish with 18 individuals in each, were cultured in 300-L tanks and fed twice a day for 8 weeks. During culture, temperature was controlled between 15.0 and 18.0℃, salinity was controlled between 28.5 and 32.0, acidity was controlled between p H7.8 and p H8.5, and ammonia nitrogen was maintained below 0.03 mg L-1 and dissolved oxygen was maintained about 7 mg L-1. Results showed that the growth of fish was significantly affected by dietary protein content(P 0.05). Specific growth rate(SGR) of turbot increased when dietary protein content varied between 47.2% and 51.0%(P 0.05), and then kept stable when dietary protein content was higher than 51.0%. Fish which were fed the diet containing 63.6% protein showed the highest SGR while those fed the diet containing 59.3% protein showed the highest feed efficiency rate. No significant difference of feed intake and protein efficiency ratio was found among experimental diets(P 0.05). Broken-line regression analysis of SGR showed that the optimal dietary protein requirement of turbot was about 57.0%. 相似文献
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新近发现的卡尔恰尔超大型热液脉状萤石矿床位于阿尔金造山带中部,矿体主要沿中奥陶世二长花岗岩及变质杂岩的接触带产出,并受韧性剪切断裂及裂隙构造控制。矿石主要类型为萤石方解石脉型,矿物组成以萤石和方解石为主,含少量石英和钾长石。矿石呈粗晶粒状和伟晶状结构,条带状、团块状和角砾状构造。包裹体研究表明,萤石和方解石中包裹体具有近似特征,均发育CO2包裹体、含CO2三相包裹体、气液两相包裹体和含子矿物多相包裹体等4种类型的原生包裹体,各类包裹体均一温度为135℃~359℃,盐度为2.07%~7.59%,反映成矿流体为中—中低温、低盐度不混溶NaCl-H2O-CO2热液体系类型。萤石和方解石流体包裹体氢氧同位素测试,反映该成矿流体来源于岩浆水与大气降水的混合热液。推测岩浆期后初步形成富CO2、富F热液,在上升过程中淋滤萃取变质杂岩中的Ca质形成成矿流体,后因大气降水加入发生降温、降压与流体沸腾作用,在断裂—裂隙构造的有利部位充填—交代形成萤石方解石矿脉。 相似文献
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国际上公认的上、下白垩统界线绝对年龄为100.5 Ma,该界线的“金钉子”位于海相地层中,而陆相层序中有关该地层界线的“金钉子”迄今尚无报道。陆相上、下白垩统界线的研究对于了解白垩纪中期温室条件下陆地上所经历的古地理、古环境、古气候的演化过程具有重要价值。我国东北地区的松辽盆地发育完整的白垩纪陆相地层,可能为陆相的上、下白垩统地层界线的研究提供连续的地质记录。本文基于松辽盆地国际大陆科学钻探松辽盆地南部松科3井全取心资料,通过对岩石类型、岩性序列和沉积相研究,于井深1 191.6 m处的泉头组二段上部滨浅湖相沉积序列中发现灰色、灰绿色流纹质岩屑晶屑沉凝灰岩。通过同沉积期岩浆锆石U-Pb测年获得年龄(96.8±2.9) Ma,时代属于塞诺曼中期。结合前人资料得到研究区登娄库组—泉头组沉积速率为90.54~110 m/Ma,由此确定出上、下白垩统界线位于松科3井泉一段中部(井段1 526.6~1 598.6 m)。本文在考虑测年结果误差的情况下,另外计算出松科3井上、下白垩统界线介于泉二段中部至登四段上部(井段1 279.6~1 917.6 m)。其他学者基于松辽盆地北部松科1井和松科2井... 相似文献
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AI Bo YU Mengchao GUO Jingtian ZHANG Wei JIANG Tao LIU Aichao WEN Lianjie LI Wenbo 《中国海洋大学学报(英文版)》2022,21(2):277-290
Numerical models and correct predictions are important for marine forecasting,but the forecasting results are often unable to satisfy the requirements of operational wave forecasting.Because bias between the predictions of numerical models and the actual sea state has been observed,predictions can only be released after correction by forecasters.This paper proposes a spati-otemporal interactive processing bias correction method to correct numerical prediction fields applied to the production and release of operational ocean wave forecasting products.The proposed method combines the advantages of numerical models and Forecast Discussion;specifically,it integrates subjective and objective information to achieve interactive spatiotemporal correc-tions for numerical prediction.The method corrects the single-time numerical prediction field in space by spatial interpolation and sub-zone numerical analyses using numerical model grid data in combination with real-time observations and the artificial judg-ment of forecasters to achieve numerical prediction accuracy.The difference between the original numerical prediction field and the spatial correction field is interpolated to an adjacent time series by successive correction analysis,thereby achieving highly efficient correction for multi-time forecasting fields.In this paper,the significant wave height forecasts from the European Centre for Medium-Range Weather Forecasts are used as background field for forecasting correction and analysis.Results indicate that the proposed method has good application potential for the bias correction of numerical predictions under different sea states.The method takes into account spatial correlations for the numerical prediction field and the time series development of the numerical model to correct numerical predictions efficiently. 相似文献
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