Ograniczanie wyników
Czasopisma help
Autorzy help
Lata help
Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 163

Liczba wyników na stronie
first rewind previous Strona / 9 next fast forward last
Wyniki wyszukiwania
Wyszukiwano:
w słowach kluczowych:  water consumption
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 9 next fast forward last
EN
The article presents the conceptual research on the management of rainwater in the Straconka stream catchment, most of which is located within the territory of the city Bielsko-Biała (Poland). The study was focused on the possibility of using rainwater for flushing toilets in order to reduce the consumption of treated tap water (intended for consumption). Sanitary use of rainwater requires its collection in a tank of appropriate capacity. The selection of the tank depends on the roof area, the number of residents generating water consumption and the technical possibilities of the installation. To conduct the simulation, all buildings were inventoried, the roof area was determined. Data on the number of residents were also included. In turn, data on the amount of atmospheric precipitation in the study area enabled determining the degree of coverage of the demand for rainwater for flushing toilets. The analyses were conducted for single-family housing, multi-family multi-level housing (blocks), terraced multi-family housing as well. In the first and third cases, it was proposed to implement individual closed tanks, while in the case of blocks of flats, open tanks were used. It was demonstrated that the use of rainwater tanks allows for a significant reduction in the consumption of treated water. In the case of single-family housing, the use of a domestic tank with a capacity of 250 dm3 ·person-1 would reduce the consumption of treated water in the toilet by 95.8%. For multi-family multi-level housing, the construction of one open retention tank with a capacity of 300 m3 would reduce the consumption of water in toilets by 51.6%. In the case of terraced multi-family housing, the use of a domestic tank with a capacity of 350 dm3 person-1 would reduce the consumption of water in toilets by 90.8%. For the purpose of selecting the individual tank capacity, a nomogram was formed that takes into account the roof area per resident.
EN
Under climate change, the issue of selection and correction of crop cultivation systems in the zone of moisture deficit and risky farming to ensure profitability of production is still topical. In particular, crop rotations are a practice aimed at increasing resistance of soil systems to abiotic and biotic stresses in the zone of moisture deficit. Therefore, the purpose of the research is to identify spatio-temporal regularities of vegetative formation of water balance in winter wheat agrocenoses depending on a pre-crop according to the unified BBCH scale. Spatio-temporal processes of vegetation and water balance formation in winter wheat agrocenosis depending on a pre-crop according to the unified BBCH scale were examined on the basis of the data of decoded satellite image series of the spacecraft Sentinel and calculation of the NDWI and the NDVI values. The research was conducted in the natural-climatic conditions of the Steppe zone of Ukraine, in the territory of Yelanets district, Mykolaiv region, during the vegetative phase of winter wheat variety Driada 1: autumn 2021 and winter, spring and the beginning of summer 2022. It was established that activeness of water balance formation in winter wheat agrocenosis with pea as a pre-crop according to seasonal-phenological stages of plant growth is 3.0–9.0 times higher than with a grain crop (spring barley) and sunflower as pre-crops. In particular, with pea as a pre-crop, the NDVI vegetation of winter wheat plants is 1.6–1.7 times more intensive, the rate of moisture supply NDWI in the plant leaf at the macro-stages BBCH 10–61 is 1.54 and 1.82 times higher, productivity is 1.43–1.56 times higher. We observed a 30.5–34.3% reduction in water consumption for the formation of a ton of winter wheat grain with pea as a pre-crop in comparison with other pre-crops that resulted in an increase in productive moisture reserves at the end of vegetation in a meter soil layer by 20%. It was established that using pea as a pre-crop has economic and environmental benefits that manifest themselves in increasing resistance of soil systems, a reduction in environmental pollution and a rise in profitability of production.
EN
Reducing pressure on agrolandscapes while maintaining indicators of economic efficiency is a promising and relevant task for researchers. The article presents the results of a four-year study on the formation of water, nutrient, and microbial regimes in the soil of mid-early ecological group hybrid sunflower crops PR64F66 F1 and Tunca F1 at different levels of biologization of zonal variety cultivation technologies in the conditions of the Southern Steppe of Ukraine: traditional intensive, extensive minimal, organic, and two levels of biologized. The dependence of the reduction in average daily soil moisture consumption on the application of biologization elements was established. The minimum value of the water consumption coefficient over the years of the study was found for organic cultivation technology–407 (PR64F66 F1) and 423 (Tunca F1) m3/ton of dry matter, while the least economical consumption of active moisture for biomass formation was recorded for the extensive cultivation technology variant–523 and 624 m3/ton respectively. Variants with the application of biologization elements in the mineral nutrition system were characterized by significantly higher efficiency and economy of nitrogen consumption from soil reserves. Throughout the vegetation period, under the conditions of intensive sunflower cultivation technology, both the overall population of the plowed soil layer and the number of microflora for individual key groups decreased significantly compared to variants where individual elements of biologization or their complex application (organic cultivation technology) were implemented, by 6.1–40.9%.
PL
Rozwijająca się świadomość oraz aspekty prawne związane z energochłonnością systemów dystrybucji wody, w połączeniu z starzeniem się infrastruktury wodociągowej i stresem wodnym, wymuszają poszukiwanie rozwiązań wspierających efektywniejszą kontrolę i zarządzanie infrastrukturą techniczną. Osiągnięcie standardu mądrych czy też inteligentnych systemów wodociągowych na każdym szczeblu obszaru kluczowego nadal pozostaje kwestią otwartą zarówno w warunkach krajowych jak i zagranicznych. Dotyczy to także mikroskali sieci wodociągowych, to znaczny konsumentów wody oraz stosowania inteligentnych wodomierzy z wbudowanymi algorytmami uczenia maszynowego. Artykuł przedstawia wyniki badań z wdrożenia modelu krótkoterminowej predykcji zużycia wody wraz z detekcją anomalii dla budynków wielorodzinnych. Prognoza zużycia wody, przeprowadzona w oparciu o wysokoczęstotliwościowe pomiary oraz głębokie sieci neuronowe, pozwoliła na osiągnięcie błędu predykcji poniżej 3,0%. Detekcja wykrywania anomalii, zrealizowana w oparciu o bazowy model prognostyczny, charakteryzowała się nawet 97,3% skutecznością wykrywania anomalii.
EN
The development of awareness and legislative aspects related to the energy efficiency of water distribution systems, combined with the ageing of water supply infrastructure and water stress, led to the search for solutions to support more effective control and management of technical infrastructure. Increasing the standard of smart or intelligent water supply systems at all levels of key areas is still a problem under domestic and foreign conditions. This also applies to the microscale of water supply networks, namely water consumers of water and the use of smart water meters with integrated machine learning algorithms. This article presents the results of research on the implementation of a short-term water consumption prediction model with anomaly detection for multifamily residential buildings. The prediction of water consumption, based on high-frequency measurements and deep neural networks, achieved a prediction error of less than 3.0%. Anomaly detection, based on the underlying prediction model, had up to 97.3% accuracy.
EN
The paper presents the influence of weather conditions on water consumption in two selected water-pipe networks. The analyzed problem seems to be significant because even several days with extremely high temperatures cause exploitation difficulties in the distribution system due to water consumption exceeding the average. Water companies should be prepared for complications in exploitation when even whole water from reservoirs is supplied to the network. The obtained results show that a high correlation between anomalies in temperatures and water consumption exists, especially during weekends. The Pearson coefficient varied between 0.76 and 0.88 which means that the temperature has a significant influence on water demand. The aim of the work was also to note that reasonable usage of tap water by individual consumers can influence the security of water distribution. On days when extremely high external air temperatures are forecasted, water consumption for nonessential purposes, such as watering gardens or filling backyard pools, should be limited.
EN
This study aims to optimize chitin extraction conditions by reducing water and chemical consumption using a twolevel factorial design approach. Two variables were studied for the demineralization process: the volume of hydrochloric acid (400 to 500 mL) and the demineralization time (1 to 1.5 hours) at room temperature. For deproteinization, the variables examined were NaOH concentration (0.6 to 1 mol/L) and deproteinization time (1 to 1.5 hours) at 70–80 °C. The ash and protein contents were measured to evaluate the efficiency of the demineralization and deproteinization processes, respectively. Minitab 18 software was used for the experimental design. The results showed that the best conditions for extracting high-quality chitin are a demineralization time of 1 hour, an HCl volume of 500 mL, a NaOH concentration of 1 M, and a deproteinization time of 1 hour. These optimal conditions reduce the amount of water, time, and chemicals required for chitin extraction. Compared to previous studies, we significantly reduced the amount of water and chemicals as well as the extraction duration. These results are innovative as they offer a more efficient and sustainable solution for chitin extraction, thus filling a gap in current research by proposing an optimized method. By providing these new data and demonstrating their effectiveness, our research makes a significant contribution to improving chitin extraction techniques, addressing an unmet need in the industrial field.
PL
Z perspektywy wdrażanych standardów legislacyjnych, których głównym elementem jest ochrona klimatu, proces ewaluacji rozwiązań technologii chłodzenia staje się coraz bardziej kluczowy przy planowaniu inwestycji, a optymalizacja działania systemów chłodzenia jest już koniecznością.
9
Content available remote A comprehensive review of the salinity assessment in groundwater resources of Iran
EN
The main purpose of the present research is to propose a comprehensive attitude of the salinity in groundwater resources of Iran using 116 papers in the assessment of groundwater quality in different areas of the country. The conducted study contains the measurement of the values of physicochemical parameters of which electrical conductivity (EC), as the fundamental parameter for salinity determination of groundwater, was considered mostly, and by comparing it with standards, as well as employing the Wilcox diagram, the quality of water was assessed for drinking and agricultural purposes, respectively. Study of the previous papers revealed that in only the west and northwest of the country, the groundwater quality was suitable for drinking, and in the majority of provinces, EC values exceeded the recommended limits. The highest EC level was seen in central provinces which led to the aggravation of groundwater and the largest proportion of salinity, putting the quality of water in an unsuitable class for drinking. Additionally, the assessment of groundwater quality for irrigation uses using the Wilcox diagram showed high and very high salinity rates in most areas of the study area. Northwestern provinces relatively had the lowest level putting in C3-S1 class, while central areas reached the highest with C4-S4 classification. Deficiency of rainfall, high rate of groundwater exploitation, and the intrusion of saltwater from Salt Lake were the principal reasons for groundwater deterioration in central parts of the study area.
PL
W pracy dokonano analizy zużycia wody podczas transmisji telewizyjnych meczów piłkarskich. Przyjęto tezę, że wysokiej oglądalności meczów z udziałem reprezentacji Polski towarzyszy ograniczenie czynności bytowo-gospodarczych mieszkańców, co wywołuje zmniejszenie zapotrzebowania na wodę. Analizie poddano 4 mecze reprezentacji Polski. Zużycie wody oceniano na podstawie kilku punktów pomiarowych usytuowanych w mieście Rzeszowie. Zaobserwowano znaczący spadek zużycia wody podczas transmisji telewizyjnych meczów piłkarskich.
EN
The paper analyzes water consumption during TV broadcasts of football matches. The thesis was adopted that the high audience of matches with the participation of the Polish national team is accompanied by a reduction in living and economic activities of residents, which causes a reduction in the demand for water. Four matches of the Polish national team were analysed. Water consumption was assessed on the basis of several measurement points located in the city of Rzeszow. A significant decrease in water consumption has been observed during TV broadcast of football matches.
PL
W artykule przedstawiono sposób wyznaczania maksymalnego godzinowego poboru ciepłej wody o określonym prawdopodobieństwie występowania wraz z niższymi z uwzględnieniem liczby mieszkańców, w budynkach mieszkalnych wielorodzinnych. Przyjęto, że maksymalny godzinowy pobór wody przez pojedynczego mieszkańca budynku jest zmienną losową o rozkładzie normalnym o wartości oczekiwanej ḡj max i odchyleniu standardowym Sḡ j max. Następnie przyjmując przyjęte założenia określono parametry rozkładu maksymalnego godzinowego poboru ciepłej wody. W tym celu wykorzystano wyniki przeprowadzonych pomiarów zużycia wody przez mieszkańców siedmiu budynków mieszkalnych zlokalizowanych na kilku osiedlach mieszkaniowych w Szczecinie. Znajomość parametrów rozkładu umożliwia określenie zmienności wartości jednostkowego zużycia w zależności od prawdopodobieństwa. Znając je obliczono średni jednostkowy pobór wody o 90%, 95%, 99% i 99,9%, prawdopodobieństwie występowania wraz z niższymi wartościami w zależności od liczby mieszkańców budynku. Otrzymane wyniki przedstawiono na wykresie.
EN
The article presents a method for determining the maximum hourly hot water consumption with specified probability of occurrence taking into account the number of inhabitants in multi-family residential buildings. It was assumed that the maximum hourly water demand per single resident of the building is a random variable with a normal distribution with the expected value of ḡj max and the standard deviation of Sḡj max. Then, based on these assumptions, the parameters of the distribution of the maximum hourly hot water demand were determined. For this purpose, the results of water consumption measurements by residents of seven residential buildings located in several housing estates in Szczecin were used. Knowledge of the distribution parameters allows for determining the variability of the unit consumption value depending on the probability. Using this information, the average unit water demand was calculated for probabilities of 90%, 95%, 99%, and 99.9%, along with lower values depending on the number of building inhabitants. The results obtained are presented in a graph.
PL
W praktyce eksploatacyjnej systemów dystrybucji wody brak jest wdrożenia zaawansowanych narzędzi przetwarzania i analizowania danych monitoringowych. Dotyczy to wielu poziomów zarządzania wodociągami, w ramach których dochodzi do rejestracji pomiarów, najczęściej tworzących nieinterpretowalne zbiory danych. Wraz z pojawieniem się możliwości rejestracji danych, które można określić mianem wysokoczęstotliwościowych, istnieje potrzeba równoległego wdrażania odpowiednich technik z zakresu data science, stanowiących podstawę mądrych czy też inteligentnych sieci wodociągowych. By spełnić założenia dotyczące implementacji inteligencji na poziomie wodomierzy, koniecznym jest umożliwienie pomiaru zużycia wody z precyzyjnym interwałem pomiarowym oraz zaawansowanej analizy danych, które skutkować powinny efektywnym wnioskowaniem i zarządzaniem systemami dystrybucji wody. W niniejszym artykule zaprezentowano wyniki zastosowania modeli uczenia maszynowego w celu predykcji krótkoterminowej zużycia wody dla budynków wielorodzinnych. Do prognozowania zużycia wody wykorzystano modele liniowe, proste modele sieci neuronowych, algorytm najbliższych sąsiadów oraz drzewa decyzyjne. W ramach przeprowadzonych badań ocenie poddano cechy wyekstrahowane z przebiegu zużycia wody wraz z kombinacjami ich zestawów podawanymi na wejściu regresora. Zweryfikowano także, jak stopień agregacji danych oraz struktura budynku wpływają na błąd prognozowania.
EN
The operational practice of water distribution systems lacks the implementation of advanced tools for processing and analyzing monitored data. This is the case at many levels of water supply management, where measurements are recorded, most often creating uninterpretable data sets. With the arrival of data recording capabilities that can be described as high-frequency, there is a need for a simultaneous implementation of suitable data science techniques as the basis for smart water supply networks. To achieve the goals of implementing intelligence at the water meter level, it is necessary to allow measurement of water consumption with a precise measurement interval and advanced data analysis, which should result in effective inference and management of water distribution systems. This paper presents the results of the use of machine learning models to predict short-term water consumption for multifamily buildings. Linear models, simple neural network, nearest neighbour algorithm and decision trees were used to predict water consumption. The study evaluated features extracted from the water consumption waveforms and combinations of data sets given to the input of the regression model. It was also verified how the degree of data aggregation and the structure of the building influence the prediction error.
PL
Zdalny odczyt wodomierzy to nowoczesna metoda zbierania danych dotyczących zużycia wody. Umożliwia przesyłanie informacji na odległość, do głównej bazy danych. Celem jest ich analiza i dokonanie rozliczeń.
PL
W obliczu zbliżającego się końca drugiego, trzyletniego okresu obowiązywania taryf wodno-kanalizacyjnych, polskie przedsiębiorstwa wod.-kan. stają przed kolejnym wyzwaniem - przygotowaniem i złożeniem wniosków taryfowych zgodnie z nowymi, bardziej rygorystycznymi standardami.
EN
A field experiment was conducted with the aim of knowing the effect of different depletion levels of ready water and different levels of phosphate fertilization on the water consumption of lettuce crop, yield coefficient and some characteristics of lettuce plant. The results showed that the highest water consumption was 386.8 mm at the 30% depletion level, and the lowest water consumption at the 80% depletion, reaching 292.8 mm. As for the phosphate fertilization, it had a very small effect on the water consumption. The beginning of growth and then increased in the average age of the plant to decline in the stage of maturity. It is also noted from the results that the different levels of depletion clearly affected the characteristics of the studied plant, as it reached the highest yield at the depletion level of 30% at 36.9 ton·h-1, while the lowest yield was at the depletion rate of 80% at 27.1 ton·h-1. As for the phosphate fertilization, it was huh. The other as a factor influencing significantly on the yield traits, as it gave the phosphate fertilization to zero level 32.8 ton·h-1 for the traits in a row, and the values were higher than them for the level of fertilization, while the phosphate fertilization level gave the highest value for the plant yield.
EN
The purpose of the research was to calculate water footprint in growing the basic field crops and establish the volumes of additional water accumulation to provide the hydro-functioning of the Sluch river basin in the territory of Ukraine under conditions of climate change. The research was based on the data of climate change analysis in 1901–2022, decoding of the actual satellite imagery of the spacecraft Sentinel 2 and statistical data on crop rotation structure in the agro-landscapes of the water catchment area in the research region. The volumes of water footprint were calculated for the vegetation periods of the basic field winter and spring crops in 2018–2021: 2018–2019 – a semi-wet year grows into a dry year; 2019–2020 – a dry year grows into a semi-wet year; 2020–2021 – a semi-wet year grows into a wet year. Spatio-temporal regularities of the formation of water footprint and the ratio of green and blue water use in growing different agricultural crops were determined. The total volume of water footprint in growing the field crops of a certain crop rotation equaled: in 2018–2019 – 1991 mln m3 , 2019–2020 – 2440 mln m3 , 2020–2021 – 2363 mln m3. The total volume of precipitation in the vegetation period within the river water catchment area was: in 2018–2019 – 3760 mln mм3, 2019–2020 – 4423 mln m3, 2020–2021– 4839 mln m3. The total volume of additional accumulation of green (rain) water in the vegetation period in the agro-landscapes of the river basin equaled: in 2018–2019 – 1769 mln m3, or 47.0% of precipitation in the vegetation period (Pv); 2019–2020 – 1983 mln m3, or 44.8% of Pv; 2020–2021 – 2476 mln m3, or 51.2% of Pv. The proposed research scheme and the obtained results are important for adjusting and substantiating water- and resource-saving agrotechnologies and crop rotations depending on climate change, for determining water balance stability of the river basin in accordance with the indicators of additional accumulation of green water.
17
Content available remote Zużycie ciepłej wody użytkowej w domu opieki społecznej - studium przypadku
PL
Budynki opieki społecznej zapewniają opiekę i schronienie osobom starszym i potrzebującym wsparcia. Zapewnienie odpowiednich warunków bytowych oraz komfortu mieszkańcom jest tu priorytetem. Jednym z kluczowych aspektów, który wpływa zarówno na komfort, jak i efektywność eksploatacyjną takich budynków, jest dostawa ciepłej wody użytkowej i analiza zużycia wody użytkowej jest tematem artykułu. Według danych literaturowych, pochodzących nawet sprzed kilkudziesięciu lat, średnie dobowe zużycie wody ciepłej na jednostkę w kategorii opieka społeczna wynosi od 100 do nawet 300 l na osobę i tak szeroki zakres może utrudniać m.in. proces projektowy oraz w konsekwencji mieć wpływ na koszty eksploatacyjne. W artykule przedstawiono wyniki pomiarów zużycia ciepłej wody użytkowej przeprowadzonych w domu opieki społecznej w okresie jesienno-zimowym w 2021 r. Z przeprowadzonych badań wynika, że w analizowanym obiekcie oraz okresie pomiarowym wartość zużycia ciepłej wody na osobę wynosi 72 l na dobę.
EN
Social care buildings provide care and shelter for the elderly and those in need of support. Providing appropriate living conditions and comfort for residents is a priority here. One of the key aspects that affects both the comfort and operational efficiency of such buildings is the analysis of domestic hot water consumption. According to literature data dating back several dozen years, the average daily domestic hot water consumption per unit in the social care category ranges from 100 to even 300 liters per person and such a wide range may make it difficult, among others, design process and, consequently, have an impact on operating costs. The article presents the results of measurements of domestic hot water consumption carried out in a social care home in the autumn and winter period of 2021. The conducted research shows that in the analyzed facility and the measurement period, the value of hot water consumption per person is 72 liters per day.
EN
The size and distribution of water demand within a given structural unit is the basis for the proper operation and planning of the expansion and modernization of the water supply system’s elements. In rural areas, particularly in municipalities adjacent to urban-industrial agglomerations, a change in the use of tap water has been increasingly observed. The water consumption for animal breeding or agricultural use, typical of these areas, has been decreasing and even disappearing. Water has been increasingly used for domestic purposes in single- and multi-family housing as well as for other purposes such as watering lawns and filling residential swimming pools. Taking this into account, this paper presents observations regarding daily water consumption in a municipality adjacent to Wrocław together with an analysis of the possibility of using the exponential smoothing method for the short-term forecasting of daily water consumption. The analyses presented in this paper were carried out using STATISTICA 13 software.
PL
Wzrost zapotrzebowania na wodę w gminach przyległych do dużych aglomeracji, a co za tym idzie wzrost produkcji wody, zmuszają przedsiębiorstwa wodociągowe do szukania nowych rozwiązań dotyczących między innymi optymalnego sterowania takimi procesami jak: ujmowanie i rozdział dyspozycyjnych zasobów wodnych, dystrybucja oraz oczyszczanie wody i ścieków. Aby zapewnić skuteczne sterowanie tymi procesami wymagany jest między innymi skalibrowany model hydrauliczny sieci dystrybucji i model prognostyczny poboru wody. Do bieżącego i krótkoterminowego prognozowania poboru wody wykorzystywane są modele stochastyczne, wprowadzane w postaci zalgorytmizowanej do struktury zarządzania procesem sterowania. Najczęściej stosowane są scałkowane modele autoregresji i średniej ruchomej ARIMA oraz metody wygładzania wykładniczego szeregów czasowych. Modele klasy ARIMA odwzorowują właściwości statyczne i dynamiczne szeregów stacjonarnych i pewnych klas szeregów niestacjonarnych, interpretowanych jako wynik przejścia białego szumu przez dyskretny filtr liniowy skończenie wymiarowy. Charakteryzują się one różnymi właściwościami przy jednolitym zapisie formalnym oraz identycznych metodach estymacji parametrów dla różnych typów i podklas modeli. Metody prognozowania oparte na algorytmach wygładzania wykładniczego są łatwe do praktycznego zastosowania i nie wymagają założenia o stacjonarności analizowanego szeregu czasowego. W niniejszej pracy przedstawiono obserwacje dotyczące dobowego zużycia wody w jednej z gmin przyległej do Wrocławia wraz z analizą możliwości zastosowania metody wygładzania wykładniczego do krótkoterminowego prognozowania dobowego poboru wody.
PL
W latach 2016-2021 ceny mediów dostarczanych do odbiorców indywidualnych rosły w Polsce wolniej zarówno od średniej jak i od minimalnej pensji. Przez to skłonność społeczeństwa do oszczędzania na opłatach za wodę czy gaz nie była duża. Rok 2022 to nadzwyczajne wzrosty cen nośników energii, które tę skłonność mogą odwrócić o 180 stopni. W przypadku zaopatrzenia w wodę sytuację mogą dodatkowo pogorszyć nadchodzące zmiany klimatyczne. W niniejszym artykule przedstawiono możliwe do realizacji w domach jednorodzinnych sposoby ograniczenia zużycia wody (m.in. instalacje dualne wody szarej i deszczowej) wraz ze spodziewanym efektem ekonomicznym. Prosty czas zwrotu z inwestycji w taką instalację to w tej chwili niestety kilkanaście i więcej lat. Pozostaje mieć nadzieję, że z ekonomią wygra ekologia i hasła zrównoważonego rozwoju nie pozostaną jedynie na papierze.
EN
n the years 2016-2021, the prices of utilities delivered to individual recipients in Poland grew slower than the average and the minimum salary. As a result, the tendency of the society to "save" on water or gas was not large. The year 2022 is marked by extraordinary increases in the prices of energy carriers, which may reverse this tendency by 180 degrees. In the case of water supply, the situation may be exacerbated by the coming climate changes. This article presents ways to reduce water consumption in single-family houses (including dual gray and rainwater installations) along with the expected economic effect. The simple payback time for such an installation is, unfortunately, over a dozen years or more. It remains to be hoped that ecology will win against the economy and that the slogans of sustainable development will not be left on paper only.
EN
Today, the uncontrolled abstraction of surface water and groundwater resources has created adverse consequences, which include: extinction of living organisms, land subsidence, salinity of coastal aquifers, increased pumping energy. Therefore, the need to manage available water resources is felt more than ever. Among the various water uses (agriculture, drinking, and industry), agriculture accounts for the bulk of water consumption. Due to the climate change and the growing population, determining the appropriate strategy and technology for irrigation is necessary. In the current study, a simulation model is used to numerically simulate the dynamics of daily soil moisture during the potato crop growing season and to estimate crop production and economic benefits. For climatic data, daily observations of a meteorological station have been used. Results and analyses have been presented for all cases of micro and traditional irrigation methods and agricultural management strategies of non-stress irrigation, low irrigation, and rainfed cultivation. The results showed that in the non-stress irrigation method, crop production and net profit are almost equal in both traditional and micro methods. In the low irrigation method, microtechnology has made crop production and net profit 1.75 times more than traditional technology, which indicates the impact of irrigation technology on crop production.
first rewind previous Strona / 9 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.