...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Limnologica >Identifying the relationships between trophic states and their driving factors in the Shihmen Reservoir, Taiwan
【24h】

Identifying the relationships between trophic states and their driving factors in the Shihmen Reservoir, Taiwan

机译：识别台湾石门水库营养态势与其驱动因素之间的关系

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Eutrophication has become a crucial issue for water resource management in recent years. In addition, reservoir trophic states are varied with environmental and water quality variables. The objectives of this study were to apply the DFA model to examine which water quality variables significantly affect variations of trophic state index (TSI) factors (i.e. total phosphorus (TP), chlorophyll -a (Chl-a), and Secchi disk transparency (SD)) and use classification and regression tree (CART) to determine the trophic states of the Shinmen Reservoir based on the levels of TSI factors during spring 2001 winter 2009. Results showed that the optimal DFA model contained one common trend (the underlying processes influencing trophic states, which can be rainfall intensity or runoff volume) and 7 explanatory variables. Turbidity (TB), pH, and dissolved oxygen (DO) influence concentrations of TP, while ammonium nitrogen (NH3-N), organic nitrogen (O-N), and nitrate nitrogen (NO3-N) control variations of Chl-a, and TB is related to SD. The CART model can specify trophic states only using two dominant driving factors, i.e. TP and Chl-a. The results of the CART illustrated that eutrophication could be occurred in the Shihmen Reservoir if TP is greater than 31.65 mu g/L or if Chl-a is greater than 5.95 mu g/L while TP concentration is less than 31.65 mu g/L. Runoff nonpoint source pollution resulted from heavy storms may be the important factor affecting reservoir trophic states. Establishing vegetative filter strips along the riparian zone may able to effectively reduce this pollution in a reservoir. The integrated DFA and CART serves as good -fit relationships among trophic states, TSI factors, and water quality variables and provide control strategies for managing water quality in the Shihmen Reservoir.
机译：富营养化已成为近年来水资源管理的关键问题。此外，储层营养态各国因环境和水质变量而变化。本研究的目标是应用DFA模型，以检查哪种水质变量显着影响营养状态指数（TSI）因子的变化（即总磷（TP），叶绿素-A（CHL-A）和Secchi磁盘透明度（ SD））和使用分类和回归树（购物车）根据2001年春季春季春季因子的水平确定辛门油藏的营养态。结果表明，最优DFA模型含有一种共同趋势（影响潜在流程营养型状态，可以是降雨强度或径流量）和7个解释性变量。浊度（Tb），pH和溶解氧（DO）影响TP的浓度，而氮气（NH 3-N），有机氮（ON）和硝酸氮（NO3-N）控制CHL-A和TB的变化与SD相关。购物车模型只能使用两个主导驾驶因子，即TP和CHL-A指定营养态。如果TP大于31.65μg/ L或者CHL-A大于5.95μg/ l，则在夏门储层中可能发生富营养化的推车结果。大暴风暴产生的径流非点源污染可能是影响水库营养态势的重要因素。建立沿着河岸区的营养过滤条可以有效地减少水库中的这种污染。集成的DFA和推车在营养州，TSI因子和水质变量中具有良好的合适关系，并提供了用于在石门水库管理水质的控制策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号