Temat: rainfall - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Impact of rainfall trends on flood in Agnéby watershed
Autorzy:: Konin, N’Da Jean Claude
N’go, Yao Alexis
Soro, Gneneyougo Emile
Goula, Bi Tié Albert
Powiązania:: https://bibliotekanauki.pl/articles/2073726.pdf
Data publikacji:: 2022
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: Agnéby watershed
flood
hydro-rainfall hazard
Ivory Coast
rainfall trend
Opis:: The aim of this study is to analyse the spatio-temporal evolution of hydro-rainfall variables in the Agnéby watershed in a disturbed climatic context. Rainfall data from the stations of Arrah, Bongouanou, M’Batto, Akoupé, Céchi, Agboville, Adzopé, Sikensi, Abidjan Airport and Dabou as well as hydrometric data from the stations of Agboville, Offoliguié, M’Bessé and Guessiguié were used. The methodological approach is based on the application of independence and trend tests and spatio-temporal analysis of daily rainfall maxima, duration of consecutive rainfall events, number of rainfall events above a threshold and daily flow maxima. The hypothesis of independence justified the relevance of the choice of variables. The trend test showed the dynamic upward evolution of extreme rainfall and the decrease in the duration of consecutive rainy episodes, in the number of rainy episodes and in the flows feeding the main watercourse. Moreover, spatial analysis of daily maximum rainfall amounts above 120 mm, consecutive maximum rainfall amounts above 160 mm and Gumbel rainfall amounts above 190 mm indicated heavy rainfall in the southern part of the watershed. However, a decrease in rainfall is recorded in the areas covered by the stations of Arrah, Bongouanou, M’Batto, Ce chi and Akoupé. An increase in the flood flow calculated from the Generalized Extreme Value (GEV) between 76.60 m3∙s-1 and 225.70 m3∙s-1 is presented in the main river. The spatio-temporal variation in annual rainfall heights showed a high rainfall in the southern part of the watershed with a decrease in rainfall over the decades (1976-1985 and 1996-2005) followed by an increase over the decades (1986-1995 and 2006-2015). Despite the general decrease in rainfall, extreme rainfall has become frequent, causing flooding in the watershed.
Źródło:: Journal of Water and Land Development; 2022, 52; 9--20
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Spatial variability study of rainfall in Cartagena de Indias, Colombia
Autorzy:: Mouthon-Bello, Javier A.
Quiñones-Bolaños, Edgar
Ortiz-Corrales, Jairo E.
Mouthon-Barraza, Natalia
Hernández-Fuentes, Maria D.J.
Caraballo-Meza, Andrea C.
Powiązania:: https://bibliotekanauki.pl/articles/2174346.pdf
Data publikacji:: 2022
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: coastal city
rainfall duration
rainfall intensity
spatial correlation
spatial variability
Opis:: Precipitation is a component of the hydrological cycle, knowing its spatial distribution is vital for the management of hydrographic basins, the territory and the development of fundamental activities for society. That is why the present study shows the spatial variability of rainfall in Cartagena de Indias city with a network of rain gauges, made up of nine pieces of equipment, separated from each other by 0.9-27 km. After a year of recording (2019), using historical series of data, it was found that the maximum rainfall occurs in the trimester between September and November, with interpolated maps made by the Ordinary Kriging (OK) method it was found that the maximum rainfall is focused on the north, centre and west of the territory, instead, the maximum intensities are presented in the centre and west, the minimums for both variables are presented to the east and south. The 70 and 90% of the rain events have a duration of less than 30 min and 1 h, respectively. Three-parameter exponential function was fitted to the paired correlation distances, and presented correlations lower than 0.8, 0.5 and 0.2 from distances of 1, 3 and 7 km, respectively, in 30 min rain integration. It was also found that with a pluviometric network conformed by at least six pieces of equipment and separated by a 5 km distance from each other in the urban area, a correlation of 0.5 and compliance with the WMO recommendations would be obtained.
Źródło:: Journal of Water and Land Development; 2022, 55; 138--149
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: An empirical model of rainfall intensity as a function of rainfall duration and probability of occurrence
Autorzy:: Harisuseno, Donny
Prasetyorini, Linda
Fidari, Jadfan S.
Chandrasasi, Dian
Powiązania:: https://bibliotekanauki.pl/articles/2203546.pdf
Data publikacji:: 2023
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: empirical model
probability of occurrence
rainfall duration
rainfall intensity
recurrence interval
Opis:: Rainfall is one of the main components of the hydrologic cycle; thus, the availability of accurate rainfall data is fundamental for designing and operating water resources systems and infrastructure. This study aims to develop an empirical model of rainfall intensity (It,p) as a function of its probability (p) and duration (t). In 1999-2020, data on the hourly duration of rainfall were collected from automatic rainfall recorder (ARR) gauges. The empirical model has been developed using a statistical approach based on duration (t) and probability (p), and subsequently they have been validated with those obtained from ARR data. The resulting model demonstrates good performance compared with other empirical formulas (Sherman and Ishiguro) as indicated by the percent bias (PBIAS) values (2.35-3.17), ratio of the RMSE (root mean square error) between simulated and observed values to the standard deviation of the observations (RSR, 0.028-0.031), Nash-Sutcliffe efficiency (NSE, 0.905-0.996), and index of agreement (d, 0.96-0.98) which classified in the rating of “very good” in model performance. The reliability of the estimated intensity based on the empirical model shows a tendency to decrease as duration (t) increases, and a good accuracy mainly for the rainfall intensity for shorter periods (1-, 2-, and 3-hours), whereas low accuracy for long rainfall periods. The study found that the empirical model exhibits a reliable estimate for rainfall intensity with small recurrence intervals (Tr) 2-, 5-, 10-, and a 20-year interval and for a shorter duration (t). Validation results confirm that the rainfall intensity model shows good performance; thus, it could be used as a reliable instrument to estimate rainfall intensity in the study area.
Źródło:: Journal of Water and Land Development; 2023, 56; 182--193
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: The analysis of the El Niño phenomenon in the East Nusa Tenggara Province, Indonesia
Autorzy:: Karuniasa, Mahawan
Pambudi, Priyaji Agung
Powiązania:: https://bibliotekanauki.pl/articles/2073753.pdf
Data publikacji:: 2022
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: climate
communities
drought
El Nino
freshwater
rainfall
Opis:: Climate change causes various events, such as El Niño , and we experience their larger frequency. This study based on a quantitative approach uses observation data from the Umbu Mehang Kunda Meteorological Station and the Ocean Niño Index (ONI). As a result, East Sumba, which has an arid climate, has more challenges in dealing with drought and water deficits during El Niño. This study identifies rainfall when the El Niño phenomenon takes place in East Sumba through data contributing to the ONI value and dry day series from 1982 to 2019. The analysis was carried out by reviewing these data descriptively and supported by previous literature studies. The research found that there was a decrease in the accumulative total rainfall in El Niño years. The annual rainfall in the last six El Niño events is lower than the annual rainfall in the first six El Niño events. The dry day series is dominated by an extreme drought (>60 days) which generally occurs from July to October. This drought clearly has a major impact on livelihoods and causes difficulties in agriculture as well as access to freshwater. This results in crop failure, food shortages, and decreased income. The phenomenon triggers price inflation in the market and potential increase in poverty, hunger, and pushes the country further away from the first and second Sustainable Development Goals. This phenomenon and problems related to it need to be dealt with by multistakeholders.
Źródło:: Journal of Water and Land Development; 2022, 52; 180--185
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Assessment of hydrological alteration from 1996 to 2017 in Brantas watershed, East Java, Indonesia
Autorzy:: Indarto, Indarto
Andiananta Pradana, Hendra
Wahyuningsih, Sri
Umam, Muhammad K.
Powiązania:: https://bibliotekanauki.pl/articles/293246.pdf
Data publikacji:: 2020
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: Brantas watershed
hydrological alteration
land use
rainfall
Opis:: Climate, land use, and land cover change can propagate alteration to the watershed environment. The interaction between natural and human activities probably accelerates the change, a phenomenon that will generate serious environmental problems. This study aims to evaluate the change in the hydrological regime due to natural and human-induced processes. The study was conducted in Brantas watershed, Indonesia, which is the largest watershed in East Java. This area is populated by more than 8 million inhabitants and is the most urbanized area in the region. An analysis of rainfall time series use to shows the change in natural phenomena. Two land-use maps at different time intervals were used to compare the rapid development of urbanization, and the discharge from two outlets of the sub-watersheds was employed to assess hydrological changes. The indicator of hydrological alteration (IHA) method was used to perform the analysis. The daily discharge data are from 1996 to 2017. The research results show an increase in flow (monthly, 1-day, 3-day, 7-day, 30-day, and 90-day flows) in the two sub-watersheds (Ploso and Kertosono) from the pre-period (1996–2006) to the post-period (2007–2017).
Źródło:: Journal of Water and Land Development; 2020, 46; 121-130
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Estimation of standard duration maximum rainfall by using regression models
Autorzy:: Yerdelen, Cahit
Asikoglu, Ömer Levend
Abdelkader, Mohamed
Eris, Ebru
Powiązania:: https://bibliotekanauki.pl/articles/1841938.pdf
Data publikacji:: 2021
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: Eastern Black Sea Region
Marmara Region
regression model
standard duration maximum rainfall
temporal distribution of maximum daily rainfall
Opis:: Gauging stations of meteorological networks generally record rainfall on a daily basis. However, sub-daily rainfall observations are required for modelling flood control structures, or urban drainage systems. In this respect, determination of temporal distribution of daily rainfall, and estimation of standard duration of rainfall are significant in hydrological studies. Although sub-daily rainfall gauges are present at meteorological networks, especially in the developing countries, their number is very low compared to the gauges that record daily rainfall. This study aims at developing a method for estimating temporal distribution of maximum daily rainfall, and hence for generating maximum rainfall envelope curves. For this purpose, the standard duration of rainfall was examined. Among various regression methods, it was determined that the temporal distribution of 24-hour rainfall successfully fits the logarithmic model. The logarithmic model’s regression coefficients (named a and b) were then linked to the geographic and meteorological characteristics of the gauging stations. The developed model was applied to 47 stations located at two distinct geographical regions: the Marmara Sea Region and Eastern Black Sea Region, Turkey. Various statistical criteria were used to test the method's accuracy, and the proposed model provided successful results. For instance, the RMSE values of the regression coefficients a and b in Marmara Regions are 0.004 and 0.027. On the other hand, RMSE values are 0.007 and 0.02 for Eastern Black Sea Region.
Źródło:: Journal of Water and Land Development; 2021, 50; 281-288
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Reconstruction of rainfall region boundaries for the western region found by Dale (1959) in Peninsular Malaysia
Autorzy:: Hashim, Mohmadisa
Nayan, Nasir
Said, Zahid Mat
Setyowati, Dewi Liesnoor
Saleh, Yazid
Mahat, Hanifah
Koh, See L.
Powiązania:: https://bibliotekanauki.pl/articles/2073752.pdf
Data publikacji:: 2022
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: GIS
isohyetal method
Peninsular Malaysia
rainfall region boundary
Opis:: Re-delimitation of rainfall regions plays an important role in determining the rainfall pattern of an area. This study aims to reconstruct the delimitation of rainfall regions for the western region of Peninsular Malaysia. This study involved only the collection of rainfall data at 133 stations from 1960 to 2010. These data were obtained from the Department of Irrigation and Drainage, Malaysia. The analysis methods applied include kriging, contouring and topology using a geographical information system. The results showed that the new delimitation of the western region has been formed with an area reduction of 10% compared to the original western region found by Dale. This is due to some areas in the western region have not received rainfall between 2540 and 2794 mm. The area that getting the rainfall between 2540 and 2794 mm is 46,413.6 km2, in contrast to the sized of Dale’s western region of 51,596.2 km2. The area that frequently getting rainfall of between 2540 and 2794 during 1960s to 2010 are Parit Buntar, Taiping, Kuala Kangsar, Ipoh, Teluk Intan, Tanjong Malim, Batang Kali, Cameron Highlands, Subang, Petaling Jaya, Klang, Kajang and Bangi. The new delimitation formed through this study can be used as a guide by the agencies that manage water resources in Perak, Selangor and Negeri Sembilan in planning a more efficient water supply system.
Źródło:: Journal of Water and Land Development; 2022, 52; 205--209
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Analysis of distribution of precipitation duration and amounts in Legnica in the period of 1966–2015
Analiza rozkładów długości trwania i wielkości opadów w Legnicy w latach 1966–2015
Autorzy:: Jakubczyk, Teresa
Powiązania:: https://bibliotekanauki.pl/articles/293381.pdf
Data publikacji:: 2019
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: analysis of distributions
Mann–Kendall test
precipitation
rainfall conditions
rainfall variability
analiza rozkładów
opady
test Manna-Kendalla
warunki opadowe
zmienność opadów
Opis:: The paper presents the results of analysis of duration of precipitation sequences and the amounts of precipitation in individual sequences in Legnica. The study was aimed at an analysis of potential trends and regularities in atmospheric precipitations over the period of 1966–2015. On their basis a prediction attempt was made for trends in subsequent years. The analysis was made by fitting data to suitable distributions – the Weibull distribution for diurnal sums in sequences and the Pascal distribution for sequence durations, and then by analysing the variation of the particular indices such the mean value, variance and quartiles. The analysis was performed for five six-week periods in a year, from spring to late autumn, analysed in consecutive five-year periods. The trends of the analysed indices, observed over the fifty-year period, are not statistically significant, which indicates stability of precipitation conditions over the last half-century.
W pracy przedstawiono wyniki analiz rozkładów długości trwania sekwencji opadowych oraz wielkości opadów w poszczególnych sekwencjach w Legnicy. Badania miały na celu przeprowadzenie analizy ewentualnych tendencji i regularności w opadach atmosferycznych w okresie 1966–2015. Na ich podstawie podjęto próbę predykcji dla tendencji w kolejnych latach. Analizę wykonano przez dopasowanie do danych odpowiednich rozkładów – rozkładu Weibulla do sum dobowych w sekwencjach oraz rozkładu Pascala do długości sekwencji, a następnie przez zbadanie zmienności poszczególnych wskaźników, takich jak średnia, wariancja i kwartyle. Analiza została przeprowadzona w odniesieniu do pięciu sześciotygodniowych okresów w ciągu roku od wczesnej wiosny do późnej jesieni, rozpatrywanych w kolejnych pięcioleciach. Tendencje badanych wskaźników zaobserwowane na przestrzeni pięćdziesięciolecia nie są istotne statystycznie, co świadczy o stabilności zjawiska opadów w ostatnim pięćdziesięcioleciu.
Źródło:: Journal of Water and Land Development; 2019, 41; 69-76
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Wheat yield response and seasonal salt profile evolution under irrigation with saline waters in a semi-arid region
Autorzy:: Cheraghi, Seyed A. M.
Powiązania:: https://bibliotekanauki.pl/articles/293346.pdf
Data publikacji:: 2020
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: saline water
soil salinity
wheat yield
rainfall
leaching fraction
Opis:: Scarcity of fresh water resources is the major constraint for agricultural development in Iran as in many other regions with arid and semi-arid climate. With the pressure on fresh water resources, the use of un-conventional water resources including brackish, saline and sewage water has received greater attentions in recent years. The objective of this study was to assess the impact of farmers' practices using saline groundwater on wheat yield and soil salinity in a Mediterranean climate of Fars province in southern Iran. The study was carried out in several commercial wheat production regions for two years. Chemical analysis of irrigation waters, volume of applied irrigation water, electrical conductivity of soil saturation extract (ECe) and yield were measured in each field. General information on agronomic practices was also collected using a questionnaire. Results demonstrate that waters with salinities higher than what has been classified as “suitable for irrigation” are being used for the production of wheat crop. Analysis of wheat yield response to saline irrigation water showed that for water salinities up to 10.7 mS∙cm^–1 (threshold value) variation in yield was relatively minor, above which wheat yield decreased at a greater rate. Root zone salinity profiles showed the effect of winter rainfall in reducing soil salinity. It is concluded that although acceptable yields are obtained with some of the highly brackish waters, over application of these waters would threaten the sustainability of crop production in the region.
Źródło:: Journal of Water and Land Development; 2020, 44; 26-32
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Rainfall-river discharge modelling for flood forecasting using Artificial Neural Network (ANN)
Autorzy:: Obasi, Arinze A.
Ogbu, Kingsley N.
Orakwe, Chukwuemeka L.
Ahaneku, Isiguzo E.
Powiązania:: https://bibliotekanauki.pl/articles/292776.pdf
Data publikacji:: 2020
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: artificial neural network (ANN)
rainfall
flood forecasting
river discharge
Opis:: This study is aimed at evaluating the applicability of Artificial Neural Network (ANN) model technique for river discharge forecasting. Feed-forward multilayer perceptron neural network trained with back-propagation algorithm was employed for model development. Hydro-meteorological data for the Imo River watershed, that was collected from the Anambra-Imo River Basin Development Authority, Owerri – Imo State, South-East, Nigeria, was used to train, validate and test the model. Coefficients of determination results are 0.91, 0.91 and 0.93 for training, validation and testing periods respectively. River discharge forecasts were fitted against actual discharge data for one to five lead days. Model results gave R² values of 0.95, 0.95, 0.92, 0.96 and 0.94 for first, second, third, fourth, and fifth lead days of forecasts, respectively. It was generally observed that the R2 values decreased with increase in lead days for the model. Generally, this technique proved to be effective in river discharge modelling for flood forecasting for shorter lead-day times, especially in areas with limited data sets.
Źródło:: Journal of Water and Land Development; 2020, 44; 98-105
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Comparative study of meteorological and hydrological drought characteristics in the Pekalen River basin, East Java, Indonesia
Autorzy:: Harisuseno, Donny
Powiązania:: https://bibliotekanauki.pl/articles/946923.pdf
Data publikacji:: 2020
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: drought index
rainfall anomaly index
standardized precipitation index
standardized streamflow index
Opis:: Drought is known as a normal part of climate and including in a slow-onset natural hazard which may have several impacts on hydrology, agriculture, and socioeconomic. Drought monitoring, including its severity, spatial and duration is required and becomes an essential input for establishing drought risk management and mitigation plan. Many drought indices have been introduced and applied in regions with different climate characteristics in the last decades. This paper aims to compare standardized precipitation index (SPI) and rainfall anomaly index (RAI) along with standardized streamflow index (SSI) in Pekalen River Basin, East Java, Indonesia. The statistical association analyses, included the Pearson correlation (r), Kendal tau (τ), and Spearman rho (rs) were performed to examine the degree of consistency between monthly and annual drought index of SPI and RAI. Additionally, the comparative analysis was performed by overlapping both monthly and annual drought index from the SPI and RAI with the SSI at hydrological years. The study revealed that the characteristic of the annual drought index between the SPI and RAI exhibits pattern similarity which indicated by the high correlation coefficient between them. Further, the comparative analysis on each hydrological year showed that the SPI and RAI were very well correlated and exhibited a similar pattern with the SSI. Overall, the SPI shows better performance than the RAI for estimating drought characteristic either monthly or annual basis. Hence, the SPI is considered as a reliable and effective tool for analyzing drought characteristic in the study area.
Źródło:: Journal of Water and Land Development; 2020, 45; 29-41
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Modelling the impact of design rainfall on the urban drainage system by Storm Water Management Model
Modelowanie wpływu projektowanego opadu na system miejskiego drenażu z użyciem modelu zarządzania wodami burzowymi
Autorzy:: Laouacheria, Fares
Kechida, Said
Chabi, Moncef
Powiązania:: https://bibliotekanauki.pl/articles/292837.pdf
Data publikacji:: 2019
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: composite rainfall
double triangle rainfall
flood
hydraulic modelling
Storm Water Management Model
stormwater network
metoda podwójnych trójkątów
model zarządzania wodami burzowymi
modelowanie hydrauliczne
powódź
sieć wód burzowych
złożony opad
Opis:: Flood modelling is an effective way to manage the stormwater network in cities. It aims to understand and predict the behaviour of stormwater network so that it can test and evaluate effective solutions to structural and operational problems. So simulation modelling stays a preoccupation for building a successful hydraulic modelling in urban areas. This study investigates the impact of the design rainfall on the hydraulic modelling results for the Azzaba stormwater network located in the North-East of Algeria by using the Storm Water Management Model (SWMM). Four scenarios of design rainfall events were compared for 10, 25 and 50-year return periods, where we used double triangle and composite curves for the design rainfall event definition. The results show the impact of the choice of design rainfall on the behaviour of the stormwater network, from which the results of simulation by the double triangle method for the short durations represents a great risk on the probability that the stromwater network can overflow and flood the city, with a difference in peak discharge estimated at 62.97% and 58.94% for 2 h and 3 h events compared to the peak discharge simulated by the composite rainfall method.
Modelowanie jest skuteczną metodą zarządzania siecią kanalizacji deszczowej w miastach. Umożliwia sprawdzenie działania oraz prognozę funkcjonowania sieci kanalizacji deszczowej, testując i oceniając skuteczność przyjętych rozwiązań. Dlatego modelowanie symulacyjne stanowi wstępny etap konstruowania modeli hydraulicznych dla obszarów miejskich. W niniejszej pracy przedstawiono wpływ projektowanego opadu na wyniki modelowania hydraulicznego sieci kanalizacji deszczowej Azzaba w północnowschodniej Algierii z zastosowaniem modelu zarządzania wodami burzowymi (SWMM). Porównano trzy scenariusze zdarzeń opadowych dla okresów powtarzalności 10, 25 i 50 lat. Kształty hietogramu opadu, opisano przy pomocy metody podwójnych trójkątów oraz krzywych syntetycznych. Stwierdzono wpływ doboru projektowanego opadu na wyniki symulacji sieci kanalizacji deszczowej. Wyniki modelowania wskazują, że w przypadku metody podwójnych trójkątów dla krótkotrwałych epizodów opadowych występuje ryzyko przepełnienia sieci kanalizacyjnej i zalania miasta. Różnica pomiędzy maksymalnymi odpływami obliczonymi dla deszczy dwu- i trzygodzinnych modelowanych metodą podwójnych trójkątów oraz metodą krzywych syntetycznych wynosiła odpowiednio 62,97% i 58,94%.
Źródło:: Journal of Water and Land Development; 2019, 40; 119-125
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 13.

Tytuł:: Water productivity under deficit irrigation using onion as indicator crop
Autorzy:: Tadesse, Kassahun B.
Hagos, Eyasu Y.
Tafesse, Nata T.
Dinka, Megersa O.
Powiązania:: https://bibliotekanauki.pl/articles/293258.pdf
Data publikacji:: 2020
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: drip irrigation
effective rainfall
real evapotranspiration
soil water
water quality
water use efficiency
Opis:: Improving water productivity (WP) through deficit irrigation is crucial in water-scarce areas. To practice deficit irrigation, the optimum level of water deficit that maximizes WP must be investigated. In this study, a field experiment was conducted to examine WP of the three treatments at available soil water depletion percentage (P_i) of 25% (reference), 45% and 65% using a drip irrigation system. Treatments were arranged in a randomized complete block design. The water deficit was allowed throughout the growth stages after transplanting except for the first 15 days of equal amounts of irrigations during the initial growth stage and 20 days enough spring season rainfall during bulb enlargement periods. Physical WP in terms of water use efficiency (WUEf) for treatments T1, T2, and T3 was 9.44 kg∙m^–3, 11 kg∙m^–3 and 10.6 kg∙m^–3 for marketable yields. The WUEf and economic water productivity were significantly improved by T2 and T3. The WUEf difference between T2 and T3 was insignificant. However, T2 can be selected as an optimal irrigation level. Hence, deficit irrigation scheduling is an important approach for maximizing WP in areas where water is the main constraint for crop production. The planting dates should be scheduled such that the peak water requirement periods coincide with the rainy system.
Źródło:: Journal of Water and Land Development; 2020, 45; 171-178
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Stochastic ARIMA model for annual rainfall and maximum temperature forecasting over Tordzie watershed in Ghana
Stochastyczny model ARIMA do prognozowania rocznego opadu i maksymalnej temperatury w zlewni Tordzie w Ghanie
Autorzy:: Nyatuame, M.
Agodzo, S. K.
Powiązania:: https://bibliotekanauki.pl/articles/292306.pdf
Data publikacji:: 2018
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: ARIMA
forecasting
rainfall model
temperature
Tordzie watershed
modele opadu
prognozowanie
temperatura
zlewnia Tordzie
Opis:: The forecast of rainfall and temperature is a difficult task due to their variability in time and space and also the inability to access all the parameters influencing rainfall of a region or locality. Their forecast is of relevance to agriculture and watershed management, which significantly contribute to the economy. Rainfall prediction requires mathematical modelling and simulation because of its extremely irregular and complex nature. Autoregressive integrated moving average (ARIMA) model was used to analyse annual rainfall and maximum temperature over Tordzie watershed and the forecast. Autocorrelation function (ACF) and partial autocorrelation function (PACF) were used to identify the models by aid of visual inspection. Stationarity tests were conducted using the augmented Dickey–Fuller (ADF), Mann–Kendall (MK) and Kwiatkowski–Phillips–Schmidt–Shin (KPSS) tests respectively. The chosen models were evaluated and validated using the Akaike information criterion corrected (AICC) and also Schwartz Bayesian criteria (SBC). The diagnostic analysis of the models comprised of the independence, normality, homoscedascity, P–P and Q–Q plots of the residuals respectively. The best ARIMA model for rainfall for Kpetoe and Tordzinu were (3, 0, 3) and (3, 1, 3) with AICC values of 190.07 and 178.23. That of maximum temperature for Kpetoe and Tordzinu were (3, 1, 3) and (3, 1, 3) and the corresponding AICC values of 23.81 and 36.10. The models efficiency was checked using sum of square error (SSE), mean square error (MSE), mean absolute percent error (MAPE) and root mean square error (RMSE) respectively. The results of the various analysis indicated that the models were adequate and can aid future water planning projections.
Prognozowanie opadu i temperatury jest trudnym zadaniem z powodu zmienności tych parametrów w czasie i przestrzeni, a także nieznajomości wszystkich czynników wpływających na opady w regionie czy w danej miejscowości. Prognozowanie opadów jest ważne dla rolnictwa i gospodarki zlewniowej, mających znaczący wkład w gospodarkę regionu. Przewidywanie opadu wymaga modelowania matematycznego i symulacji z powodu jego skrajnie nieregularnego i złożonego charakteru. Do analizy i prognozowania rocznych opadów i maksymalnej temperatury w zlewni Tordzie wykorzystano autoregresyjny zintegrowany model średniej ruchomej (ARIMA). Do zidentyfikowania modeli metodą oglądu wizualnego użyto funkcji autokorelacji (ACF) i cząstkowej autokorelacji (PACF). Testy stacjonarności przeprowadzono za pomocą testów Dickeya–Fullera (ADF), Manna–Kendalla (MK) i Kwiatkowskiego–Phillipsa–Schmidta–Shina (KPSS). Wybrane modele poddano ocenie i walidacji z użyciem skorygowanego kryterium Akaike (AICC) i Bayesowskiego kryterium Schwartza (SBC). Diagnostyczna analiza modeli obejmowała niezależność, normalność, homoscedastyczność, wykresy P–P i Q–Q dla reszt. Najlepsze modele ARIMA dla opadu w Kpetoe i Tordzinu miały postać (3, 0, 3) i (3, 1, 3), gdy wartości AICC równe odpowiednio 190,07 i 178,23. Modele dla maksymalnej temperatury w Kpetoe i Tordzinu miały postać (3, 1, 3) i (3, 1, 3), a ich odpowiednie wartości AICC wynosiły 23,81 i 36,10. Wydajność modelu sprawdzano, wykorzystując sumę błędu kwadratowego (SSE), średni błąd kwadratowy (MSE), średni bezwzględny błąd procentowy (MAPE) i pierwiastek ze średniego błędu kwadratowego (RMSE). Wyniki różnych analiz wykazały, że modele są odpowiednie i mogą stanowić pomoc w przyszłej gospodarce wodnej.
Źródło:: Journal of Water and Land Development; 2018, 37; 127-140
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Enhancing the performance of deep learning technique by combining with gradient boosting in rainfall-runoff simulation
Autorzy:: Abdullaeva, Barno S.
Powiązania:: https://bibliotekanauki.pl/articles/28411647.pdf
Data publikacji:: 2023
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: deep learning
gradient boosting
hybrid model
multi-step ahead forecasting
rainfall-runoff simulation
Opis:: Artificial neural networks are widely employed as data mining methods by researchers across various fields, including rainfall-runoff (R-R) statistical modelling. To enhance the performance of these networks, deep learning (DL) neural networks have been developed to improve modelling accuracy. The present study aims to improve the effectiveness of DL networks in enhancing the performance of artificial neural networks via merging with the gradient boosting (GB) technique for daily runoff data forecasting in the river Amu Darya, Uzbekistan. The obtained results showed that the new hybrid proposed model performed exceptionally well, achieving a 16.67% improvement in determination coefficient (R2) and a 23.18% reduction in root mean square error (RMSE) during the training phase compared to the single DL model. Moreover, during the verification phase, the hybrid model displayed remarkable performance, demonstrating a 66.67% increase in R2 and a 50% reduction in RMSE. Furthermore, the hybrid model outperformed the single GB model by a significant margin. During the training phase, the new model showed an 18.18% increase in R2 and a 25% reduction in RMSE. In the verification phase, it improved by an impressive 75% in R2 and a 33.33% reduction in RMSE compared to the single GB model. These findings highlight the potential of the hybrid DL-GB model in improving daily runoff data forecasting in the challenging hydrological context of the Amu Darya River basin in Uzbekistan.
Źródło:: Journal of Water and Land Development; 2023, 59; 216--223
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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