论文部分内容阅读
针对我国北方浅海筏式贝藻养殖系统自身污染输出导致的环境问题,以滤食性贝类生物沉积物和海藻粉的不同配比来模拟贝藻筏式养殖系统不同碳、氮负荷的颗粒自污染物,研究了刺参摄取这些颗粒物后的碳、氮收支,评估了其对碳和氮生源要素的生物清除潜力。结果表明,刺参对筏式贝藻养殖系统不同配比颗粒自污染物中的碳和氮具有较强的摄食能力,摄食率分别为35.77～181.18mgC·g-1·d-1和6.08～14.28mgN·g-1·d-1;颗粒自污染物中碳和氮的含量越高,其摄食碳、氮的能力越强。刺参摄取的碳以粪便碳形式排出居多(59.3%～97.1%),其次是呼吸消耗的碳(9.9%～37.3%),而用于生长的碳最少(-7.0%～6.1%);刺参摄取的氮主要用于排泄消耗为主(53.1%～63.1%),粪便氮次之(27.7%～39.2%),用于生长的氮最少(-2.3%～16.7%)。通过建立的碳、氮收支方程,估算出刺参对筏式贝藻养殖系统不同碳、氮负荷自污染物的生物清除效率(SE)分别为0.83～4.57mgC·g-1·d-1和0.28～0.76mgN·g-1·d-1;而且其清除效率随着颗粒自污染物中碳、氮含量的升高而增大,呈明显的正相关关系;清除效率和碳(C)、氮(N)含量之间回归关系可用SEC=0.7368+14.9488C和SEN=0.2281+0.2202N来描述。
In view of the environmental problems caused by the self-pollution output of the shallow-sea raft-type seaweed farming system in northern China, the self-pollution of particles with different carbon and nitrogen loads in the seaweed culture system was simulated by the different proportions of filter-feed shellfish sediment and seaweed powder Studied the carbon and nitrogen budget of the sea cucumber after ingesting these particulate matter and assessed its bio-removal potential for carbon and nitrogen sources. The results showed that A. japonicus had a good ability to feed carbon and nitrogen from pollutants in rapeseed system. The feeding rates were 35.77 ~ 181.18mgC · g-1 · d-1 and 6.08 ~ 14.28mgN · g-1 · d-1. The higher the carbon and nitrogen content of the particles from the pollutants, the stronger their ability to ingest carbon and nitrogen. The carbon absorbed by sea cucumber was mostly excreted in the form of excrement of carbon (59.3% -97.1%), followed by the carbon consumed by breathing (9.9% -37.3%), while the carbon used for growth was the least (-7.0% -6.1%). The main nitrogen intake was mainly for excretion (53.1% -63.1%), feces nitrogen (27.7% -39.2%) and nitrogen for growth (-2.3% -16.7%). Based on the established carbon and nitrogen balance equations, the bioelution efficiencies (SE) for the different carbon and nitrogen loadings from ragweed farming system were estimated as 0.83 ~ 4.57mgC · g-1 · d-1 And 0.28 ~ 0.76mgN · g-1 · d-1, respectively. Moreover, the removal efficiencies were positively correlated with the increase of carbon and nitrogen contents of pollutants. The removal efficiencies and carbon (C) , Nitrogen (N) content of the regression between the SEC = 0.7368 +14.9488C and SEN = 0.2281 +0.2202N to describe.