scholarly journals Effect of water supply on nutrient transport in grapevine varieties

2000 ◽  
Vol 6 (1) ◽  
Author(s):  
E. Miklós ◽  
E. Hajdu ◽  
É. Ésik ◽  
Gy. Gábor ◽  
Gy. Váradi

The effect of water supply on availability of macro nutrient elements (N, P, K) by the plants in the soil and their transport in the plants were examined. In a field experiment two grapevine varieties characterized by higher (White Riesling B 7) and lower (Kövidinka K 8) water requirement were compared on the basis of N, P, K concentrations of leaf blades, petioles and berries. A different water supply of the vineyard was achived by striped coverage of the soil with plastic foil to exclude rainfalls from the beginning of May to ripening. Humidity of the soil decreased as the vegetative phase advanced. Soil cover resulted in 25-30% decrease of the water content in the soil at flowering but this difference gradually disappeared till veraison (i.e. the start of intense growth of the berries). The water consumption in the White Riesling B 7 plantation was more intensive. Mobility and availability of N, P, K in the soil was restricted by water exclusion (i.e. plastic soil cover) at flowering. Nitrogen was slightly affected, whereas P and K were in a higher extent. Comparing the transport of nutrient elements in the two varieties, leaf blades of Kövidinka K 8 contained less N and more P and K than White Riesling B 7 at flowering and more N and P and less K at ripening. Water deficiency inhibited K accumulation in the berries of White Riesling B 7, while this effect did not appear in Kövidinka K 8.Water exclusion decreased the yield of White Riesling B 7 already at lower bud loading, the yield of Kövidinka K 8 was affected only at higher bud loading. The higher yields of the treatments in Kövidinka K 8 plantation support the superior performance of this variety under the hot and dry climate of the Hungarian Great Plain.

Author(s):  
R. Comber

AbstractThe Oriental tobacco variety Izmir has been grown in sand culture in a greenhouse under various degrees of water stress. Plants given 400 cm


Author(s):  
Ramiz Tagirov ◽  
◽  
Maya Zeynalova ◽  

The article examines the problem of fresh water, since in terms of water supply from its own resources per capita and per 1 km2, the republic is 8 times behind Georgia, 2 times behind Armenia. Significant water consumption in Azerbaijan is caused by its arid territory with a predominance of active temperature and a lack of precipitation, which leads to intensive irrigation of crops. At the same time, artificial irrigation is used on 70% of the cultivated land.


1997 ◽  
Vol 24 (1-2) ◽  
pp. 3
Author(s):  
LUIZ ERNESTO RENUNCIO ◽  
CARLOS LOCH

The daily increase of inhabitants in our cities, when associated with the commercial and industrial development, leads to larger water consumption demand. Despite the larger demand the resource may maintain its quality. The solutions to these difficult problem frequently require the capacity to store manage and analyze large databases, spatially distributed. This work presents the methodology adopted to plan and locate the best site for a water supply reservoir, with the aggregation of a GIS structured database, regarding a microbasin as the planning unit. This was held in the municipality of Cocal do Sul, Brazil. The result was a previous location for the water supply reservoir, considering also other uses for the water that should be stored.


Author(s):  
R.A. Cooper ◽  
Bryany Hill ◽  
J.A. Kirk

It is commonly held that goats prefer their water ‘warm’ and that consumption may be encouraged by offering warmed water. Conversely, it is argued that water intake may go down if water is ‘too cold.’ There are, however, few data available and no definition of what constitutes ‘warm’ or ‘cold’ in the eyes of a goat. This trial was undertaken to provide some data in an attempt to confirm or refuse these conventional wisdoms.


2014 ◽  
Vol 29 (6) ◽  
pp. 561-568 ◽  
Author(s):  
Hiroshi Suginaka ◽  
Ken Okamoto ◽  
Yohei Hirano ◽  
Yuichi Fukumoto ◽  
Miki Morikawa ◽  
...  

AbstractIntroductionThe catastrophic Great East Japan Earthquake in 2011 created a crisis in a university-affiliated hospital by disrupting the water supply for 10 days. In response, this study was conducted to analyze water use and prioritize water consumption in each department of the hospital by applying a business impact analysis (BIA). Identifying the minimum amount of water necessary for continuing operations during a disaster was an additional goal.ProblemWater is essential for many hospital operations and disaster-ready policies must be in place for the safety and continued care of patients.MethodsA team of doctors, nurses, and office workers in the hospital devised a BIA questionnaire to examine all operations using water. The questionnaire included department name, operation name, suggested substitutes for water, and the estimated daily amount of water consumption. Operations were placed in one of three ranks (S, A, or B) depending on the impact on patients and the need for operational continuity. Recovery time objective (RTO), which is equivalent to the maximum tolerable period of disruption, was determined. Furthermore, the actual use of water and the efficiency of substitute methods, practiced during the water-disrupted periods, were verified in each operation.ResultsThere were 24 activities using water in eight departments, and the estimated water consumption in the hospital was 326 (SD = 17) m3per day: 64 (SD = 3) m3for S (20%), 167 (SD = 8) m3for A (51%), and 95 (SD = 5) m3for B operations (29%). During the disruption, the hospital had about 520 m3of available water. When the RTO was set to four days, the amount of water available would have been 130 m3per day. During the crisis, 81% of the substitute methods were used for the S and A operations.ConclusionThis is the first study to identify and prioritize hospital operations necessary for the efficient continuation of medical treatment during suspension of the water supply by applying a BIA. Understanding the priority of operations and the minimum daily water requirement for each operation is important for a hospital in the event of an unexpected adverse situation, such as a major disaster.SuginakaH,OkamotoK,HiranoY,FukumotoY,MorikawaM,OodeY,SumiY,InoueY,MatsudaS,TanakaH.Hospital disaster response using business impact analysis.Prehosp Disaster Med.2014;29(5):1-8.


Appetite ◽  
2012 ◽  
Vol 59 (2) ◽  
pp. 621 ◽  
Author(s):  
P. Booth ◽  
B.G. Taylor, C.J. Edmonds

2015 ◽  
Vol 44 (4) ◽  
pp. 617-622
Author(s):  
A. Ombódi ◽  
A. Lugasi ◽  
L. Helyes

2020 ◽  
Vol 10 (22) ◽  
pp. 8219
Author(s):  
Andrea Menapace ◽  
Ariele Zanfei ◽  
Manuel Felicetti ◽  
Diego Avesani ◽  
Maurizio Righetti ◽  
...  

Developing data-driven models for bursts detection is currently a demanding challenge for efficient and sustainable management of water supply systems. The main limit in the progress of these models lies in the large amount of accurate data required. The aim is to present a methodology for the generation of reliable data, which are fundamental to train anomaly detection models and set alarms. Thus, the results of the proposed methodology is to provide suitable water consumption data. The presented procedure consists of stochastic modelling of water request and hydraulic pipes bursts simulation to yield suitable synthetic time series of flow rates, for instance, inlet flows of district metered areas and small water supply systems. The water request is obtained through the superimposition of different components, such as the daily, the weekly, and the yearly trends jointly with a random normal distributed component based on the consumption mean and variance, and the number of users aggregation. The resulting request is implemented into the hydraulic model of the distribution system, also embedding background leaks and bursts using a pressure-driven approach with both concentrated and distributed demand schemes. This work seeks to close the gap in the field of synthetic generation of drinking water consumption data, by establishing a proper dedicated methodology that aims to support future water smart grids.


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