ISSN electrónico: 2007-2422   ISSN impreso: 0187-8336      Usted esta aquí: Inicio
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Phytoextraction potential of wetland plants for Copper in water bodies
  • Zhiwen Luo
  • Xingzhong Yuan
  • Xiangying Chen
  • Xiaoxia Cui
Copper is the most common heavy metal contaminant in the environment. Wetland construction engineering and technology have been used to control water pollution due to their low cost and efficiency and the hydrophytes have been the most important constituents of wetland construction. In this experiment, during April of 2014, Cu2+ accumulation content in different parts of Acorus calamus and Phragmites australis were investigated based on hydroponic experiments of different Cu2+ concentration solutions. Cu2+ concentrations in the water body were 0, 10, 25, 60, 100, 200 and 500 mg/l, respectively. The results showed that there were significant Cu2+ concentration differences between the above and below ground parts of Acorus calamus and Phragmites australis. Cu2+ content in the above- and belowground parts of wetland plants increased with hydroponic solution Cu2+ concentrations, resulting in a significantly positive correlation between Cu2+ content and concentrations of hydroponic solutions. There was a significant difference in Cu2+ content in the wetland plants under all hydroponic solution Cu2+ concentrations. Acorus calamus exhibited the greatest Cu2+ accumulation in above and below ground parts. Acorus calamus and Phragmites australis can be selected for application on the phytoremediation of water polluted by heavy metals due to their excellent Cu2+ accumulation ability.
Keywords: Acorus calamus, Phragmites australis, Cu2+, accumulation.
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Daily streamflow simulation based on the improved machine learning method
  • Guangyuan Kan
  • Xiaoyan He
  • Liuqian Ding
  • Jiren Li
  • Yang Hong
  • Minglei Ren
  • Tianjie Lei
  • Ke Liang
  • Depeng Zuo
  • Pengnian Huang
Daily streamflow simulation has usually been implemented by conceptual or distributed hydrological models. Nowadays, hydrological data, which can be easily obtained from automatic measuring systems, are more than enough. Therefore, machine learning turns into an effective and popular tool which is highly suited for the streamflow simulation task. In this paper, we propose an improved machine learning method referred to as PKEK model based on the previously proposed NU-PEK model for the purpose of generating daily streamflow simulation results with better accuracy and stability. Comparison results between the PKEK model and the NU-PEK model indicated that the improved model has better accuracy and stability and has a bright application prospect for daily streamflow simulation tasks.
Keywords: Machine learning, daily streamflow simulation, hydrological model, flood forecasting, global optimization.
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Reactivation of hypersaline aerobic granular sludge after low-temperature storage
  • Yao Chen
  • Jia-Yue Zhu
  • Yu Qin
  • Zhi-Min Zhang
  • Shao-Chun Yuan
Reactivation of hypersaline aerobic granular sludge after low-temperature storage was studied by slowly increasing the organic loading. Results indicated that the basic external features of thawed hypersaline aerobic granules were still largely intact after a six-week low-temperature storage, but the colors and internal structure changed greatly. Aerobic granules experienced a process of particle disintegration, fragmentary particles, filamentous bacteria-like particles, and dense granules during the recovery process. After more than one-month re-cultivation, the settling property, dehydrogenase activity, and nitrification properties of hypersaline aerobic granules returned to normal. During the re-cultivated process, the decentralized growth pattern of particles can be effectively controlled, and granules can grow compactly by controlling water alkalinity, aeration rate and reactor settling time.
Keywords: Hypersaline, aerobic granular sludge, filamentous bacteria, reactivation.
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Improvement of the vertical “scatter degree” method and its application in evaluating water environmental carrying capacity
  • Zhi-Hong Zheng
  • Yan-Xu Yu
The “scatter degree” method is an objective evaluation method based on a “difference drive*”. However, it is currently perceived as incapable of properly reflecting the subjective information of the evaluator. In order to reflect the objective law of raw data and assist decision-makers to control major factors of the water environmental carrying capacity (WECC), this paper proposes a method to process the weight of the indicator by combining the analytic hierarchy process (AHP) and the vertical “scatter degree” method. The computing results of this improved method are virtually identical to those of the old method, but the former is more scientific and reliable.
Keywords: Water environmental carrying capacity; analytic hierarchy process; processing weight; improved vertical “scatter degree” method.
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The runoff variation characteristics of Dongting Lake, China
  • Dehua Mao
  • Chang Feng
  • Hui Zhou
  • Guangwei Hu
  • Zhengzui Li
  • Ruizhi Guo
The runoff variation characteristics of Dongting Lake was analyzed by applying the methods of concentration degree, concentration period, Mann-Kendall trend test, and variation coefficient. The analysis showed that: 1) The runoff concentration period of Dongting Lake occurs mainly between June and July of each year, with the peak time in late June-early July, and the composite vector directions in concentration period ranges from 103.2° to 190.2°; 2) The runoff variation coefficient range from 0.194 to 0.761, which indicates the instability of runoff. Extreme ratios of inflow and outflow are over 0.6 with an obvious attenuation; 3) The alternating pattern between wet years and dry years showed that the water distribution of the four rivers is relatively equal, while Ouchikou from three bayous is more violent, accounting for 32.79% of wet years and 57.38% of dry years respectively. The drastic change of annual water allocation is adverse to rational utilization of water resources.

Keywords: Runoff variation characteristics, annual variation, concentration degree and period, interannual variation, trend analysis, Dongting Lake.
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Revista Digital ISSN 2007-2422



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