Seasonal dynamics in water quality and vegetation cover in temporary pools with variable hydroperiods in Kiskunság (Hungary)

Wetlands ◽  
2008 ◽  
Vol 28 (2) ◽  
pp. 401-410 ◽  
Author(s):  
Liesbet Boven ◽  
Robby Stoks ◽  
László Forró ◽  
Luc Brendonck
Keyword(s):  
Water Quality ◽  
Seasonal Dynamics ◽  
Vegetation Cover ◽  
Temporary Pools

Seasonal Dynamics of Algal Biodiversity and Water Quality Assessment of Jiangsu Shilianghe Reservoir in China

2013 ◽  
Vol 807-809 ◽  
pp. 61-65
Author(s):  
Yuan Gao
Keyword(s):  
Water Quality ◽  
Species Diversity ◽  
Cell Density ◽  
Seasonal Dynamics ◽  
Algal Cell ◽  
Water Quality Assessment ◽  
Wiener Index ◽  
Biological Indicators ◽  
Sand Mining ◽  
Rivers And Lakes

Analysis of 4 sampling surveys on Jiangsu Shilianghe reservoir in May, July and October of 2011 and January of 2012, 109 species of algae belonging to 7 divisions were totally identified. The green algae and diatoms were the main species while Euglena and Cryptomonas were rare. The algal cell density in each season was compared as follows: summer (63.77 × 1000000 / L) > autumn (61.87 ×1000000 / L) > spring (43.31 ×1000000 / L) > winter (37.922 ×1000000 / L). Algae Shannon-Wiener index and Pielou indexes of each season were compared and described as follows: summer (2.71, 0.41) > winter (2.09, 0.32) > autumn (2.05, 0.31) > spring (1.85, 0.28). The Margalef indexes of each season were compared as follows: summer (1.51) > spring (1.38) > autumn (1.19) > winter (0.86). The water quality was assessed as α-medium pollution according to biological indicators. Sand mining, cages and obstruction between rivers and lakes may be the main reasons that lead to high algal cell density and low index of species diversity.

scholarly journals The seasonal dynamics of phytoplankton and water quality in the Prut River lower sector

2021 ◽  
Author(s):  
Laurenţia Ungureanu ◽  
◽  
Daria Tumanova ◽  
Grigore Ungureanu ◽  
◽  
...  
Keyword(s):  
Water Quality ◽  
Seasonal Dynamics ◽  
Phytoplankton Composition ◽  
Republic Of Moldova ◽  
Qualitative And Quantitative ◽  
The Republic ◽  
Quantitative Indicators ◽  
Prut River

The article presents the results on qualitative and quantitative indicators of phytoplankton of the Prut River lower sector within the Republic of Moldova in 2018-2020. In phytoplankton compositions 72 species were identified. Seasonal and long-term patterns of phytoplankton development have been established in Prut River lower sector. The numbers of phytoplankton changed within the limits 1,06 to 20,32 mln. cell/l, with biomass 1,23-21,64 g/m3. The values of saprobic indexes, estimated on the basis of species-indicators (52 species) from phytoplankton composition, which are in proportion of 58% typically β-mezosaprobic, confirm the following: the water quality of lower Prut River sector in the period 2018-2020 was satisfactory for the development of phytoplankton and was attributed mainly to II-III (good-moderately polluted) quality classes.

scholarly journals Effect of Green Roof Configuration and Hydrological Variables on Runoff Water Quantity and Quality

Water ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 960 ◽  
Author(s):  
Pascual Ferrans ◽  
Carlos Rey ◽  
Gabriel Pérez ◽  
Juan Rodríguez ◽  
Mario Díaz-Granados
Keyword(s):  
Water Quality ◽  
Vegetation Cover ◽  
Green Roof ◽  
Oxygen Demand ◽  
Substrate Type ◽  
Runoff Water ◽  
Rainfall Events ◽  
Modular Systems ◽  
Hydrological Variables

Green roofs (GRs) are a feasible solution for mitigating increased runoff volumes in urban areas. Though many studies have focused their analysis on the quantity and quality of GR runoff, with respect to the relevance of specific site conditions in GR performance, the information gathered for the tropical Andes is not sufficient. This study assessed the hydrological performance and runoff water quality of 12 green roof modular systems located at the Universidad de los Andes campus (Bogotá, Colombia). Based on 223 rainfall events spanning a 3-year period, average rainfall retention was 85% (coefficient of variation = 29%). t-tests, the Welch Test, multiple linear regressions, and correlation analysis were performed in order to assess the potential effect of air temperature, substrate type, vegetation cover, relative humidity, antecedent dry weather period (ADWP), rainfall duration, and rainfall maximum intensity. In some cases, GR design variables (i.e., substrate type and vegetation cover) were found to be significant for describing rainfall retention efficiencies and, depending on the GR type, some hydrological variables were also correlated with rainfall retention. Rainfall and GR runoff from 12 rainfall events were also monitored for total Kjeldahl nitrogen (TKN), nitrates, nitrites, ammonia, total phosphorus (TP), phosphates, pH, total dissolved solids (TDS), total suspended solids (TSS), color, turbidity, biological oxygen demand (BOD), chemical oxygen demand (COD), total coliforms, metals (i.e., zinc, copper, nickel, lead, selenium, aluminum, barium, boron, calcium, strontium, iron, lithium, magnesium, manganese, potassium, sodium), and polyaromatic hydrocarbons (PAHs). The results obtained confirmed that GR systems have the ability to neutralize pH, but are a source of the rest of the aforementioned parameters, excluding PAHs (with concentrations below detection limits), ammonia, TSS, selenium and lithium, where differences with control cases (rainfall and plastic panel runoff) were not statistically significant. Substrate type, event size, and rainfall regime are relevant variables for explaining runoff water quality.

scholarly journals Exploring the Spatial-Seasonal Dynamics of Water Quality, Submerged Aquatic Plants and Their Influencing Factors in Different Areas of a Lake

Water ◽  
2017 ◽  
Vol 9 (9) ◽  
pp. 707 ◽  
Author(s):  
Kun Li ◽  
Ling Wang ◽  
Zhaohua Li ◽  
Yujing Xie ◽  
Xiangrong Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Influencing Factors ◽  
Aquatic Plants ◽  
Seasonal Dynamics ◽  
Submerged Aquatic Plants

scholarly journals Effect of seasonal dynamics of vegetation cover on land surface models: a case study of NOAH LSM over a savanna farm land in eastern Burkina Faso, West Africa

2006 ◽  
Vol 3 (5) ◽  
pp. 2757-2788 ◽  
Author(s):  
F. Bagayoko ◽  
S. Yonkeu ◽  
N. C. van de Giesen
Keyword(s):  
West Africa ◽  
Burkina Faso ◽  
Seasonal Dynamics ◽  
Vegetation Cover ◽  
Land Surface ◽  
Roughness Length ◽  
Land Surface Model ◽  
Daily Basis ◽  
Surface Fluxes ◽  
Surface Model

Abstract. The sensitivity of the land surface model of the National Centers for Environmental Prediction (NCEP), the Oregon State University, the Air Force and the Hydrologic Research Lab (NOAH LSM) was evaluated with respect to the seasonal dynamics of the vegetation cover in the savanna area under intensive agriculture in the eastern part of Burkina Faso, West Africa. The data collected during the first long-term measurement of the surface fluxes in this mentioned region was used for this purpose. The choice of NOAH LSM was motivated by the fact that it has already been tested in different environments in West Africa, especially in Ghana. The sensitivity was tested by comparing the simulated surfaces fluxes using a fixed values of the roughness length for momentum as a standard in the model and the true seasonal value of this variable. The results show that NOAH LSM was not sensitive to the change of the roughness length for momentum neither on a seasonal basis nor on a daily basis, which was found to be abnormal. The formulation of the coefficient (Bc) coupling the dry canopy transpiration to the atmosphere was found to be the main reason for this. An improved formulation for this coefficient was given to solve this insensitivity and to improve the performance of the model. Recommendations are also given to enhance the performance of the model in the West African savanna environment.

scholarly journals Fencing farm dams increases vegetation cover, water quality and macroinvertebrate biodiversity

2021 ◽  
Author(s):  
Martin Westgate ◽  
Mason Crane ◽  
Ben C. Scheele ◽  
Clare Crane ◽  
Colleen O'Malley ◽  
...  
Keyword(s):  
Water Quality ◽  
Vegetation Cover ◽  
Management Practices ◽  
Critical Issue ◽  
Cross Sectional Study ◽  
Agricultural Landscapes ◽  
Cross Sectional ◽  
Macroinvertebrate Assemblages ◽  
Management Interventions ◽  
Eastern Australia

In many farming landscapes, aquatic features such as wetlands, creeks and dams provide water needed for stock and irrigation, while also acting as habitat for a range of plants and animals. Indeed, some species threatened by land use change may otherwise be considerably rarer – or even extinct – in the absence of these habitats. Therefore, a critical issue for the maintenance of biodiversity in agricultural landscapes is the extent to which the management of aquatic systems can help promote the integration of agricultural production and biodiversity conservation. We completed a snapshot cross-sectional study in southern New South Wales (south-eastern Australia) to quantify the efficacy of simple management practices – partial revegetation and stock reduction via fencing – for improving vegetation structure, water quality, and macroinvertebrate assemblages. We found that even short-term livestock exclusion resulted in increased vegetation cover. Relative to dams that were unfenced, those that had been partially or completely fenced for many years were characterized by reduced turbidity and nutrient levels and contained fewer thermotolerant (faecal) coliforms. They also supported increased richness and abundance of macroinvertebrates. In contrast, control (unfenced) dams tended to have high abundance of a few macroinvertebrate taxa. Notably, differences remained between the macroinvertebrate assemblages of fenced dams and nearby ‘natural’ waterbodies. Our results show how management interventions can improve water quality in farm dams and provide a valuable reference and baseline for longer term studies of farm dam improvement.

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