Water Requirements and Conservation Alternatives for Northern Communities

1983 ◽  
Vol 15 (S2) ◽  
pp. 65-93 ◽  
Author(s):  
B C Armstrong ◽  
D W Smith ◽  
J J Cameron

This paper reviews water requirements and the alternatives for water conservation in small, relatively remote northern communities. Requirements are examined in terms of basic needs and desires for sanitation from an individual household and a community perspective. Presented are factors which influence water use such as the method of delivery, household plumbing, socio-economic aspects, rate structure, climate and plumbing codes. Similarly, factors which influence water conservation are identified. Outlined in detail are current methods of reducing water use within the northern household.

HortScience ◽  
1990 ◽  
Vol 25 (9) ◽  
pp. 1183c-1183 ◽  
Author(s):  
Charles F. Mancino

Arizona's golf and sod industry generates $280 M year-1 in revenue and surpasses the vegetable, cotton and dairy industries. Despite the economic worth of turf, a need still exists to conserve the limited supply of potable water in this harsh Sonoran Desert environment. Mandatory water conservation programs have been developed for many sectors of the Arizona economy. To meet this challenge, the turfgrass industry and government bodies have begun to contribute to the development of research programs which reduce turfgrass water requirements and dependence upon potable water. Current research includes a) determining the minimum water requirements of higher quality turf under conditions of high temperatures and vapor pressure deficits; b) the turfgrass potential of grasses with lower water requirements than bermudagrass; c) the development of a statewide weather station network to predict daily turfgrass water use; and d) determine management strategies for turfgrass irrigated with wastewater effluent. The overall goal of these programs is to produce high quality and functional turf with 20 to 50 percent less water.


1992 ◽  
Vol 2 (4) ◽  
pp. 454-456
Author(s):  
C.D. Stanley ◽  
B.K. Harbaugh

Methodology was developed to estimate water requirements for production of 20 different potted ornamental plant species with practical application for water conservation in commercial operations. Water requirement prediction equations were generated using pan evaporation to estimate evaporative demand along with plant canopy height and width and flower height as input variables. Coefficients of determination (R2) for the prediction equations among plant species ranged from 0.51 to 0.91, with the lower values mostly associated with plant species with an open or less-uniform growth habit. Variation in water use among different cultivars of marigold also was associated with differences in cultivar growth habit. Estimation of the daily water requirements of potted Reiger begonia and Ficus benjamina using their developed prediction equations was compared to actual water use under common growing conditions to demonstrate the implementation of the method for plant species differing in growth habit.


2012 ◽  
Vol 3 (3) ◽  
pp. 225-238 ◽  
Author(s):  
Vivek Shandas ◽  
Meenakshi Rao ◽  
Moriah McSharry McGrath

Social and behavioral research is crucial for securing environmental sustainability and improving human living environments. Although the majority of people now live in urban areas, we have limited empirical evidence of the anticipated behavioral response to climate change. Using empirical data on daily household residential water use and temperature, our research examines the implications of future climate conditions on water conservation behavior in 501 households within the Portland (OR) metropolitan region. We ask whether and how much change in ambient temperatures impact residential household water use, while controlling for taxlot characteristics. Based on our results, we develop a spatially explicit description about the changes in future water use for the study region using a downscaled future climate scenario. The results suggest that behavioral responses are mediated by an interaction of household structural attributes, and magnitude and temporal variability of weather parameters. These findings have implications for the way natural resource managers and planning bureaus prepare for and adapt to future consequences of climate change.


2005 ◽  
Vol 5 (3-4) ◽  
pp. 273-279 ◽  
Author(s):  
R. Cobacho ◽  
F. Arregui ◽  
J.C. Parra ◽  
E. Cabrera

Hotels are a fundamental component within the tourist Spanish sector, and their role in water management turns out even more relevant taking into account the fact that tourist areas, in which they are generally located, are water scarce. Trying to go further from the standard ratios and estimations to plan water conservation, this work intends to really measure and quantify water use in rooms. Only by doing this, can subsequent conservation actions, now able to be reliably specified for each specific use, achieve a real success.


2021 ◽  
Author(s):  
Shikun Sun ◽  
Yihe Tang

<p>The agriculture sector is one of the largest users of water and a significant source of greenhouse gas (GHG) emissions. The development of low-GHG-emission and water-conserving agriculture will inevitably be the trend in the future. Because of the physiological differences among crops and their response efficiency to external changes, changes in planting structure, climate and input of production factors will have an impact on regional agricultural water use and GHG emissions. This paper systematically analyzed the spatial-temporal evolution characteristics of crop planting structure, climate, and production factor inputs in Heilongjiang Province, the main grain-producing region of China, from 2000 to 2015, and quantified the regional agricultural water use and GHG emissions characteristics under different scenarios by using the Penman-Monteith formula and the Denitrification-Decomposition (DNDC) model. The results showed that the global warming potential (GWP) increased by 15% due to the change in planting structure. A large increase in the proportion of rice and corn sown was the main reason. During the study period, regional climate change had a positive impact on the water- saving and emission reduction of the agricultural industry. The annual water demand per unit area decreased by 19%, and the GWP decreased by 12% compared with that in 2000. The input of fertilizer and other means of production will have a significant impact on GHG emissions from farmlands. The increase in N fertilizer input significantly increased N<sub>2</sub>O emissions, with a 5% increase in GWP. Agricultural water consumption and carbon emissions are affected by changes in climate, input of means of production, and planting structure. Therefore, multiple regulatory measures should be taken in combination with regional characteristics to realize a new layout of planting structure with low emissions, water conservation, and sustainability.</p>


1999 ◽  
Vol 40 (1) ◽  
pp. 237-244 ◽  
Author(s):  
O. Tünay ◽  
I. Kabdaşlı ◽  
D. Orhon ◽  
G. Cansever

Minimization of water use and reuse applications within industry has recently gained importance within the context of water conservation efforts. The leather tanning industry is one of the subject industries due to large amount of water to be disposed of together with a high pollution load. The leather tanning industry has a complex structure in terms of materials, processes and manufacturing practices. Therefore a systematic approach is required to assess water use practice. In this study, bovine leather processing was taken as an example. An extensive study was conducted as on-site evaluations and questionnaires in the İstanbul Organized Leather Tanning District to assess water use practices, patterns and minimization trends. Results of the study were discussed and important aspects of water minimization practices have been pointed out.


2017 ◽  
Author(s):  
◽  
Akinola Mayowa Ikudayisi

Water is an essential natural resource for human existence and survival on the earth. South Africa, a water stressed country, allocates a high percentage of its available consumptive water use to irrigation. Therefore, it is necessary that we optimize water use in order to enhance food security. This study presents the development of mathematical models for irrigation scheduling of crops, optimal irrigation water release and crop yields in Vaal Harts irrigation scheme (VIS) of South Africa. For efficient irrigation water management, an accurate estimation of reference evapotranspiration (ETₒ) should be carried out. However, due to non-availability of enough historical data for the study area, mathematical models were developed to estimate ETₒ. A 20-year monthly meteorological data was collected and analysed using two data–driven modeling techniques namely principal component analysis (PCA) and adaptive neuro-fuzzy inference systems (ANFIS). Furthermore, an artificial neural network (ANN) model was developed for real time prediction of future ETₒ for the study area. The real time irrigation scheduling of potatoes was developed using a crop growth simulation model called CROPWAT. It was used to determine the crop water productivity (CWP), which is a determinant of the relationship between water applied and crop yield. Finally, a new and novel evolutionary multi-objective optimization algorithm called combined Pareto multi-objective differential evolution (CPMDE) was applied to optimize irrigation water use and crop yield on the VIS farmland. The net irrigation benefit, land area and irrigation water use of maize, potatoes and groundnut were optimized. Results obtained show that ETₒ increases with temperature and windspeed. Other variables such as rainfall and relative humidity have less significance on the value of ETₒ. Also, ANN models with one hidden layer showed better predictive performance compared with other considered configurations. A 5-day time step irrigation schedule data and graphs showing the crop water requirements and irrigation water requirements was generated. This would enable farmers know when, where, and how much water to apply to a given farmland. Finally, the employed CPMDE optimization algorithm produced a set of non-dominated Pareto optimal solutions. The best solution suggests that maize, groundnut and potatoes should be planted on 403543.44 m2, 181542.00 m2 and 352876.05 m2areas of land respectively. This solution generates a total net benefit of ZAR 767,961.49, total planting area of 937961.49 m2 and irrigation water volume of 391,061.52 m3. Among the three crops optimized, maize has the greatest land area, followed by potatoes and groundnut. This shows that maize is more profitable than potatoes and groundnut with respect to crop yield and water use in the study area.


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