scholarly journals Comparison and assessment of the nutrient removal capacity by reed grass (Phragmites australis L.) and vetiver (Vetiveria zizanioides L.)

2020 ◽  
Vol 4 (2) ◽  
pp. First
Author(s):  
Nguyen Minh Ky ◽  
Nguyen Cong Manh ◽  
Phan Van Minh ◽  
Nguyen Tri Quang Hung ◽  
Phan Thai Son ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Phragmites Australis ◽  
Constructed Wetland ◽  
Nutrient Removal ◽  
Surface Water Quality ◽  
Nutrient Absorption ◽  
Effective Characteristics ◽  
Vetiveria Zizanioides ◽  
Nitrogen And Phosphorus

The paper presented results of the comparative assessment of nutrient absorption capacity by plants, including reed grass (Phragmites australis L.) and vetiver (Vetiveria zizanioides L.). The constructed wetland models were designed with experiments (i) - Loading 1 (T1): reed grass (S1), vetiver (V1) + control (C1); (ii) - Loading 2 (T2): reed grass (S2), vetiver (V2) + control (C2); (iii) - Load 3 (T3): reed grass (S3), vetiver (V3) + control (C3). The study investigated the surface water quality parameters including nutrients such as TKN (Total Kieldalh Nitrogen), ammonium (NH4-N), nitrite (NO2-N), nitrate (NO3-N), total phosphorus (TP) and phosphate (PO43-). Results showed that there was significantly decreasing change related to pollutant concentration in the tanks. The studied results showed that the water treatment efficiency of Loading 1 (T1) possessed highly nutrient absorption capacities such as nitrogen and phosphorus. Comparing the nitrogen and phosphorus removal efficiency, there was no statistically significant difference between reed grass and vetiver in the same loading (P>0.05). In general, in the same loading levels, the plants’ nutrient removal efficiencies were often higher than the control experiments (P<0.05). The effluent findings illustrated some parameters of water quality that met to National Technical Regulation of surface water quality for agricultural irrigation purposes (QCVN 08-MT:2015/BTNMT). Therefore, the constructed wetland technology obtained highly effective characteristics and supplying the environmental friendly advantages.

Study on the Water Quality and Quantity Scheduling Scheme in Xinxue River Constructed Wetland of China under the Constraint Condition of Class III of Surface Water Quality

2011 ◽  
Vol 374-377 ◽  
pp. 923-927
Author(s):  
Chao Liu ◽  
Xiao Jie Cao ◽  
Chao Wang ◽  
Jing Jing Sun ◽  
Yu Ting Gu
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Constructed Wetland ◽  
Surface Water Quality ◽  
Ammonia Nitrogen ◽  
Water Quantity ◽  
Constraint Condition ◽  
Scheduling Scheme ◽  
Influent Water ◽  
Water Quality And Quantity

Using Xinxue River Constructed Wetland as the study object, the wetland prediction models based on BP neural network were established through the seasonal division of the wetland, and the maximum influent water load was determined on the constraint condition that effluent water quality achieved class Ⅲ of surface water quality. Then nonlinear functions of water quality and quantity scheduling were constructed by Origin software. The optimal influent load was determined adopting prediction results of the models as constraint conditions of the functions. Thus the water quality and quantity scheduling scheme of the wetland was established. The results show that optimal influent load for Feb. ~ May: the influent water quantity is no more than 8560m3/d, CODCr is 25.47mg/l~26.37mg/l, ammonia nitrogen 0.11mg/l~1.0mg/l, TN 10.28mg/l~10.51mg/l, TP 0.16mg/l; for Jun. ~ Sept.: the water quantity is no more than 31750m3/d, CODCr is 26mg/l~32.36mg/l, or 37.15mg/l~45.37mg/l, ammonia nitrogen 0.48 mg/l~1.78mg/l, TN 5.15mg/l~6.18mg/l, TP 0.07mg/l~0.09mg/l; for Oct. ~ Dec.: the water quantity is no more than 11070m3/d, CODCr is 24.55mg/l~26.91mg/l, ammonia nitrogen no more than 0.75, TN no more than 8.61 mg/l, TP 0.10mg/l~0.12mg/l, or 0.16mg/l~0.17mg/l.

scholarly journals Surface Water Quality of Intensive Farming Areas Within the Santa Lucia River Basin of Uruguay

2017 ◽  
Vol 10 ◽  
pp. 117862211771544 ◽  
Author(s):  
Patricia Barreto ◽  
Santiago Dogliotti ◽  
Carlos Perdomo
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Total Phosphorus ◽  
Agricultural Land ◽  
Surface Water Quality ◽  
Human Consumption ◽  
Nitrogen And Phosphorus ◽  
Intensive Farming ◽  
Agricultural Use

The Santa Lucia River basin provides drinking water to 60% of Uruguay population. The input of excessive amounts of nitrogen and phosphorus both from point and nonpoint sources could impair surface water quality and prevent its use for human consumption. The objective of this work was to evaluate surface water quality in small catchments under agricultural use located within this river basin. To this end, 5 streams and 4 small polders were surveyed between September 2008 and December 2009. The median concentrations of total phosphorus and total nitrogen in the streams across all sites and periods were 770 and 1659 µg L−1, respectively, exceeding in the case of total phosphorus national and international thresholds. Furthermore, soluble phosphorous, the most readily available form to algae, represented 88.3% of total phosphorus. Concentrations of phosphorous and nitrogen in polders were also high. The eutrophication process of this water bodies could be linked to the intensive agricultural land use in the area because the nutrient input from cities and industries was not relevant in these catchments.

AN EVALUATION OF SUB-SURFACE WATER QUALITY AROUND BHARUCH-SURAT INDUSTRIAL REGION, GUJARAT, INDIA

2019 ◽  
Vol 38 (2) ◽  
pp. 200-220
Author(s):  
SOMNATH SAHA ◽  
◽  
SUKANTA KUMAR SAHA ◽  
TATHAGATA GHOSH ◽  
ROLEE KANCHAN ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Industrial Region

Surface Water Quality Assessment. Case Study: Târnava Mare River, Mediaș Town-Romania

2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Surface Water Quality ◽  
Water Quality Assessment
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