国际标准期刊号: 2157-7617

地球科学与气候变化杂志

开放获取

我们集团组织了 3000 多个全球系列会议 每年在美国、欧洲和美国举办的活动亚洲得到 1000 多个科学协会的支持 并出版了 700+ 开放获取期刊包含超过50000名知名人士、知名科学家担任编委会成员。

开放获取期刊获得更多读者和引用
700 种期刊 15,000,000 名读者 每份期刊 获得 25,000 多名读者

索引于
  • CAS 来源索引 (CASSI)
  • 哥白尼索引
  • 谷歌学术
  • 夏尔巴·罗密欧
  • 在线访问环境研究 (OARE)
  • 打开 J 门
  • Genamics 期刊搜索
  • 期刊目录
  • 乌尔里希的期刊目录
  • 访问全球在线农业研究 (AGORA)
  • 国际农业与生物科学中心 (CABI)
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-世界猫
  • 普罗奎斯特传票
  • SWB 在线目录
  • 普布隆斯
  • 欧洲酒吧
  • ICMJE
分享此页面

抽象的

Utilization of Carbon in NPZ Model of Hooghly Estuarine System, India

Joyita M, Debaldeb J, Moitreyee B, Phani Bhusan G, Santanu R

Hooghly estuary along with the luxurious mangroves of the Sundarbans is one of the important estuaries of India. A quite rich mangrove patch in association with the creeks is visible at Sagar Island, the largest island in the row. Degradation and leaching of litter provides nutrient for the growth and development of phytoplankton which in turn strengthens the grazing food chain from zooplankton to fish. Phytoplankton growth is influenced by solar radiation, nutrient and temperature. The model incorporates light acclimation by algae, self-shading, photosynthetic production and nutrient uptake. Water quality changes with seasons. The model uses the functional relations among the three state variables as observed in response to the changeable environment throughout the year there. The model is calibrated and validated taking carbon as the currency of the model. Dissolved inorganic carbon as nutrient, water temperature, surface solar irradiance, and salinity of upstream and downstream of the estuary are collected from the field. Model results indicate that the growth of zooplankton and phytoplankton are enhanced by increasing nutrient input in the system. The predicted temporal distribution and trends of plankton biomass, inorganic carbon is in general agreement with field observations. Sensitivity analysis has been done. The model captures the dynamics of plankton population, which serve as major food source for fish species of the estuary. This model could be predictive in search for the role of mangrove in estuary and its control on nutrient and plankton dynamics of this region which will be helpful in management aspect.