Identifying the major influences on the microbial composition of roof harvested rainwater and the implications for water quality

2007 ◽  
Vol 55 (4) ◽  
pp. 245-253 ◽  
Author(s):  
C.A. Evans ◽  
P.J. Coombes ◽  
R.H. Dunstan ◽  
T. Harrison
Keyword(s):  
Water Quality ◽  
Rainwater Harvesting ◽  
Urban Housing ◽  
Climatic Data ◽  
Microbial Composition ◽  
Relative Significance ◽  
Run Off ◽  
Urban Housing Development ◽  
Monitoring Protocols ◽  
Tank Water

Perceptions of the quality of roof harvested rainwater remain an impediment to widespread implementation of rainwater tanks on urban allotments. Previous literature reports on roof water quality have given little consideration to the relative significance of airborne environmental micro-organisms to roof catchment contamination and the issue of tank water quality. This paper outlines the findings of a recent study into the influence of weather on roof water contamination conducted at an urban housing development in Newcastle, on the east coast of Australia. Samples of direct roof run-off were collected during a number of separate rainfall events, and microbial counts were matched to climatic data corresponding to each of the monitored events. Roof run-off contamination was found to be under the strong influence of both wind speed and direction. The preliminary findings of an investigation currently under way into the microbial diversity of rainwater harvesting systems have also been presented. The results indicate that the composition of organisms present varied considerably from source to source and throughout the collection system. In all cases, evidence of faecal contamination was found to be negligible. The implications of these findings to the issues of tank water quality, health risk analysis and monitoring protocols have been discussed.

EVALUASI KUALITAS PERAIRAN DALAM PEMBENIHAN IKAN KERAPU TIKUS (Cromileptis altivelis) Di HATCHERY PERAIRAN TANJUNG RIAU BATAM

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Ratu Siti Aliah
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Good Condition ◽  
Brood Stock ◽  
Water Storage Tank ◽  
Water Quality Status ◽  
Set Up ◽  
Normal Status ◽  
Tank Water ◽  
Quality Status

An evaluation of the water quality at the hatchery of Tanjung Riau was conducted to understand the water quality status at the several place of the hatchery unit such as brood stock tanks, larva rearing tank, water storage tank, fi ngerling tank as well as the source of the water supply. The water quality status of Tanjung Riau generally is in a good condition to support the hatchery activities, but for turbidity and salinity were in the exceed and below the normal status and its infl uence on the spawning activity. To overcome the problem on the spawning of the brood stock, the improving of water supply with higher salinity and low turbidity should be set up to ensure the succeeded of the spawning.Key words : Water quality, grouper brood stock, hatchery,Tanjung Riau Batam

Three-dimensional stromatolites from Maastrichtian–Danian Yacoraite Formation, Argentina: modelling and assessing hydrodynamic controls on growth patterns

2021 ◽  
pp. 1-17
Author(s):  
Patricio Guillermo Villafañe ◽  
Carlos Cónsole-Gonella ◽  
Paolo Citton ◽  
Ignacio Díaz-Martínez ◽  
Silvina de Valais
Keyword(s):  
Environmental Factors ◽  
Methodological Approach ◽  
Three Dimensional ◽  
Growth Patterns ◽  
External Morphology ◽  
Water Dynamics ◽  
Microbial Composition ◽  
Depositional Processes ◽  
Run Off ◽  
Internal Arrangement

Abstract Stromatolites are biogenic sedimentary structures formed by the interplay of biological (microbial composition) and environmental factors (local hydrodynamic conditions, clastic input and/or water chemistry). Well-preserved, three-dimensional (3D) fossil stromatolites are key to assessing the environmental factors controlling their growth and resulting morphology in space and time. Here, we report the detailed analysis of well-exposed, highly informative stromatolite build-ups from a single stratigraphic horizon within the Maastrichtian–Danian Yacoraite Formation (Argentina). This study focuses on the analysis of depositional processes driving intertidal to shallow subtidal stromatolites. Overall depositional architecture, external morphology and internal arrangement (mega, macro, meso and microstructures) of stromatolite build-ups were analysed and combined with 3D photogrammetric models, allowing us to decipher the links between stromatolite structure and tidal dynamics. Results suggest that external morphology and architecture of elongated and parallel clusters grew under the influence of run-off channels. The internal morphology exhibits columnar structures where the space between columns is interpreted as recharge or discharge channels. This work supports the theory that stromatolites can be used as a high-resolution tool in the assessment of water dynamics, and provides a new methodological approach and data for the dynamic reconstruction of intertidal stromatolite systems through the geological record.

scholarly journals Recovering Forecast Distributions of Crop Composition: Method and Application to Kentucky Agriculture

2020 ◽  
Vol 12 (7) ◽  
pp. 2917
Author(s):  
GwanSeon Kim ◽  
Mehdi Nemati ◽  
Steven Buck ◽  
Nicholas Pates ◽  
Tyler Mark
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Transition Probabilities ◽  
New Crops ◽  
Run Off ◽  
Wide Range ◽  
Data Layer ◽  
Mnl Model ◽  
Total Acreage ◽  
Specific Capital

This paper proposes a novel application of the multinomial logit (MNL) model using Cropland Data Layer and field-level boundaries to estimate crop transition probabilities, which are used to generate forecast distributions of total acreage for five major crops produced in the state of Kentucky. These forecasts distributions have a wide range of applications that, besides providing interim acreage estimates ahead of the June Acreage Survey, can inform the ability of producers to incorporate new crops in the land-use rotation, investments in location-specific capital and input distribution as well informing the likelihood of adverse water quality events from nutrient run-off.

Rainwater Management to Mitigate the Effects of Development on the Urban Hydrologic Cycle

2007 ◽  
Vol 2 (1) ◽  
pp. 37-52 ◽  
Author(s):  
Andrea Bradford ◽  
Chris Denich
Keyword(s):  
Water Quality ◽  
Stormwater Management ◽  
Rainwater Harvesting ◽  
Low Impact Development ◽  
Green Roofs ◽  
Hydrologic Cycle ◽  
Porous Pavement ◽  
Rainwater Management ◽  
Management Approaches ◽  
Stream Erosion

Traditional stormwater management approaches that rely on rapid conveyance and end-of-pipe detention have not adequately mitigated the effects of urbanization on water resources and the aquatic and human communities that rely upon them. Low-impact development techniques that can support a shift to management of the post-development hydrologic cycle and runoff volumes offer better opportunities to prevent stream erosion and protect groundwater recharge, characteristics of the flow regime and water quality. The application and design of four techniques—porous pavement, bioretention cells, green roofs and rainwater harvesting— in the management of the post-development water balance are presented.

scholarly journals A Spatial Analysis to Define Data Requirements for Hydrological and Water Quality Models in Data-Limited Regions

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 267 ◽  
Author(s):  
Ersilia D’Ambrosio ◽  
Anna De Girolamo ◽  
Marinella Spanò ◽  
Vera Corbelli ◽  
Gennaro Capasso ◽  
...  
Keyword(s):  
Water Quality ◽  
Spatial Analysis ◽  
Surface Water ◽  
Source Parameters ◽  
Quality Parameters ◽  
Point Sources ◽  
Water Quality Parameters ◽  
Limited Area ◽  
Climatic Data ◽  
Basin Scale

The objective of the present work is a spatial analysis aimed at supporting hydrological and water quality model applications in the Canale d’Aiedda basin (Puglia, Italy), a data-limited area. The basin is part of the sensitive environmental area of Taranto that requires remediation of the soil, subsoil, surface water, and groundwater. A monitoring plan was defined to record the streamflow and water quality parameters needed for calibrating and validating models, and a database archived in a GIS environment was built, which includes climatic data, soil hydraulic parameters, groundwater data, surface water quality parameters, point-source parameters, and information on agricultural practices. Based on a one-year monitoring of activities, the average annual loads of N-NO3 and P-PO4 delivered to the Mar Piccolo amounted to about 42 t year−1, and 2 t year−1, respectively. Knowledge uncertainty in monthly load estimation was found to be up to 25% for N-NO3 and 40% for P-PO4. The contributions of point sources in terms of N-NO3 and P-PO4 were estimated at 45% and 77%, respectively. This study defines a procedure for supporting modelling activities at the basin scale for data-limited regions.

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