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Methodology of assessing quality of spatial data describing course of shoreline as tool supporting water resource management process

Kwartnik-Pruc Anita, Mączyńska Aneta

Journal of Water and Land Development

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2023

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no. 57

167--180

EN

The proper management of water resources is currently an important issue, not only in Poland, but also worldwide. Water resource management involves various activities including monitoring, modelling, assessment and designing the condition and extent of waters sources. The efficient management of water resources is essential, especially in rural areas where it ensures greater stability and efficiency of production in all sectors of the economy and leads to the well-being of the ecosystem. The performed analyses have demonstrated that the time of origin of the cadastral data defining the course of water boundaries has a significant effect on their quality. Having analysed the factors (timeliness, completeness, redundancy) used to assess the quality of cadastral data, their clear trend of changes in time was noticed. Thus, it is possible to specify the estimated degree of quality of cadastral data defining the course of watercourse boundaries only based on the information about the method, time and area of data origin in the context of the former partition sector. This research paper presents an original method of assessing the quality of spatial data that is used to determine the course of the shoreline of natural watercourses with unregulated channels flowing through agricultural land. The research has also demonstrated that in order to increase the efficiency of work, the smallest number of principal factors should be selected for the final analysis. Limiting the analyses to a smaller number of factors does not affect the final result, yet it definitely reduces the amount of work.

2

Understanding Saltwater Origins and Mechanisms in the Coastal Aquifers of Da Nang Area (Central Vietnam)

Nguyen Thao Bach, Duc Nhan Dang, Dao Bang Duc

Inżynieria Mineralna

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2023

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no. 2, vol. 1

281--288

EN

Saltwater intrusion in the rapidly developing city of Da Nang in central Vietnam is currently causing various water-related challenges, including inadequate water supply and water pollution. An integrated SWAT-MODFLOW numerical model was used to investigate the origin and mechanism of saltwater in Holocene and Pleistocene aquifers. Geophysical and isotopic approaches were used to validate the SEAWAT model applied for simulating saltwater intrusion. The results suggest that the ebb and flow of tides, as well as water levels in rivers primarily impact coastal aquifers. However, effective water resource planning and management, along with maintaining the natural recharge of fresh water from local rain during the rainy season, could enable the rational and efficient utilization of groundwater, reducing saltwater intrusion in many areas. During the dry season, groundwater is recharged from higher altitude areas. The current saltwater intrusion mainly occurs along the rivers up to the hydraulic dam. Simulated models, using scenarios of stop abstracting groundwater, but changing to the use of surface water for drinking water, show that the area of saline water shrinks quickly after 30 years, reducing from 59.6 km2 to 39.5 km2 and from 40.2 km2 to 28.6 km2 in the Holocene and Pleistocene, respectively.

3

Applicability of machine learning techniques for multi-time step ahead runof forecasting

Bajirao Tarate Suryakant, Elbeltagi Ahmed, Kumar Manish, Pham Quoc Bao

Acta Geophysica

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2022

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Vol. 70, no 2

757--776

EN

Precise and reliable runoff forecasting is crucial for water resources planning and management. The present study was conducted to test the applicability of different data-driven techniques including artificial neural networks (ANN), support vector machine (SVM), random forest (RF) and M5P models for runoff forecasting for the lead time of 1 day and 2 days in the Koyna River basin, India. The best input variables for the development of the models were selected by applying the Gamma test (GT). Two different scenarios were considered to select the input variables for 2 days ahead runoff forecasting. In the first scenario, the output of 1 day ahead runoff (t+1) was not used as an input while it was also used as an input along with other input variables for the development of the models in the second scenario. For 2 days ahead runoff forecasting, the models developed by adopting the second scenario performed more accurately than that of the first scenario. The RF model performed the best for 1 day ahead runoff forecasting with root mean square error (RMSE), coefficient of efficiency (CE), correlation coefficient (r) and coefficient of determination (R2 ) values of 168.94 m3 /s, 0.67, 0.84 and 0.704, respectively, during the test period. For 2 days ahead runoff forecasting, RF and ANN models performed the best in the first and second scenario, respectively. In 2 days ahead runoff forecasting, RMSE, CE, r and R2 values were observed to be 169.72 m3 /s, 0.67, 0.84, 0.7023 and 148.55 m3 /s, 0.74, 0.87, 0.76 in the first and second scenarios, respectively, during the test period. Finally, the results revealed that the addition of 1 day ahead runoff forecast increased the forecast accuracy of 2 days ahead runoff forecasts. In addition, the dependability of the various models was determined using the uncertainty analysis.

4

Ograniczanie spływu powierzchniowego

Szkop Zbigniew

Zieleń Miejska

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2021

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Nr 11

54--55

PL

Nie ulega wątpliwości, że zieleń miejska może być istotnym elementem strategii zarządzania zasobami wodnymi w miastach. Może bowiem w znaczącym stopniu wpływać na ograniczanie oraz spowolnienie spływu wód opadowych do kanalizacji miejskiej, który nasila się w miarę zastępowania pokrytej roślinnością nawierzchni chłonnej nieprzepuszczalną powierzchnią budynków, dróg, chodników i parkingów.

5

Model hydrologiczny i bilansowy w zintegrowanym gospodarowaniu zasobami wodnymi

Pusłowska-Tyszewska Dorota

Prace Naukowe Politechniki Warszawskiej. Inżynieria Środowiska

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2021

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z. 83

9--157

6

Czy obecna technologia poradzi sobie z odzyskiem wody ze ścieków w obliczu nowego rozporządzenia UE?

Borowczyk-Kurasińska Anna

Technologia Wody

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2020

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Nr 3-4 (71-72)

10--12

PL

Ponowne wykorzystanie wody jest niezbędnym elementem zintegrowanego zarządzania zasobami wodnymi w celu zapewnienia odpowiedniego zaopatrzenia w wodę do celów przemysłowych, rolniczych, komercyjnych i mieszkaniowych.

7

Assessing the suitability of extreme learning machines (ELM) for groundwater level prediction

Yadav B., Ch S., Mathur S., Adamowski J.

Journal of Water and Land Development

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2017

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no. 32

103--112

EN

Fluctuation of groundwater levels around the world is an important theme in hydrological research. Rising water demand, faulty irrigation practices, mismanagement of soil and uncontrolled exploitation of aquifers are some of the reasons why groundwater levels are fluctuating. In order to effectively manage groundwater resources, it is important to have accurate readings and forecasts of groundwater levels. Due to the uncertain and complex nature of groundwater systems, the development of soft computing techniques (data-driven models) in the field of hydrology has significant potential. This study employs two soft computing techniques, namely, extreme learning machine (ELM) and support vector machine (SVM) to forecast groundwater levels at two observation wells located in Canada. A monthly data set of eight years from 2006 to 2014 consisting of both hydrological and meteorological parameters (rainfall, temperature, evapotranspiration and groundwater level) was used for the comparative study of the models. These variables were used in various combinations for univariate and multivariate analysis of the models. The study demonstrates that the proposed ELM model has better forecasting ability compared to the SVM model for monthly groundwater level forecasting.

PL

Na całym świecie fluktuacje poziomów wód gruntowych stanowią ważny temat badań hydrologicznych. Rosnące potrzeby wodne, błędne praktyki irygacyjne, niewłaściwa gospodarka glebowa i niekontrolowana eksploatacja poziomów wodonośnych są powodami, dla których poziom wód gruntowych podlega fluktuacjom. Dla skutecznego zarządzania zasobami wód gruntowych istotne jest dysponowanie dokładnymi zapiskami i zdolność prognozowania poziomu tych wód. Rozwój technik komputerowych (modele wykorzystujące dane) w dziedzinie hydrologii ma istotny potencjał z powodu niepewnego i złożonego charakteru systemów wód gruntowych. W prezentowanych badaniach wykorzystano dwie techniki komputerowe: maszynę uczenia ekstremalnego (ELM) i maszynę wektorów nośnych (SVM – ang. support vector machine) do przewidywania poziomów wód gruntowych w dwóch studzienkach obserwacyjnych w Kanadzie. Do porównawczych badań modeli wykorzystano zestaw danych miesięcznych z ośmiu lat (2006–2014), składający się z danych hydrologicznych i meteorologicznych (opady, temperatura, ewapotranspiracja, poziom wody). Wymienione zmienne zastosowano w rozmaitych kombinacjach do jedno- i wieloparametrycznej analizy modeli. Wyniki dowodzą, że model ELM ma lepsze zdolności przewidywania miesięcznych poziomów wód gruntowych w porównaniu z modelem SVM.

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Rzetelne pomiary przepływu wody i ścieków dzięki dedykowanym przepływomierzom Promag 400

Kantorek M.

Technologia Wody

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2015

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Nr 5 (43)

10--11

PL

Dynamiczny przyrost liczby ludności na świecie oraz szybko postępująca industrializacja i urbanizacja powodują, że woda staje się dobrem rzadkim, niezależnie od tego, czy mówimy o wodzie pitnej, przemysłowej, czy ściekach. Zatem, dla zrównoważonego zarządzania zasobami wodnymi jest niezwykle ważne.

9

Wykorzystanie bazy danych HYDRO dla potrzeb zarządzania zasobami wodnymi w sytuacjach kryzysowych

Graf R., Olszewski R.

Roczniki Geomatyki

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2006

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T. 4, z. 1

85-94

EN

The Topographical Database (TBD) is a nationwide undertaking implemented since 2003 by the Head Office of Geodesy and Cartography and by Voivodeship Marshals. Its aim is, first of all, to create modern resources of topographic data which will provide a base for various spatial information systems built and used by state institutions and organisations as well as by private companies and individual users. As a reference database, TBD is one of the most important elements of the national infrastructure of spatial information within the context of implementation of INSPIRE Directive of the European Commission. One of the principal applications of TDB is its utilization in crisis management, where high quality spatial information plays important, often key role. The data contained in TBD may be used, for instance, for realization of the following aims: m registration and presentation of dangerous objects on a map, m conducting demographic analysis in potentially endangered areas, m registration and presentation of public buildings, m planning distribution of assembly points of population, command centers, evacuation routes, m planning and coordinating approach to the catastrophe area, m simulation of spreading of flood wave, m estimation of potential damages depending on actions undertaken during the disaster (analysis of variants of actions) and estimation of damages afterwards. Realization of these aims is possible thanks to the scope of content and accuracy of data contained in TBD: m digital model of the terrain surface, m ortophotomaps with resolution of the order of 0.5 meter, m vector data typical for spatial GIS databases containing descriptive attributes, m image of topographical map in digital raster form or in the form of plotter printouts from the database. In the paper examples of data available from TBD are discussed and general assessment of usefulness of individual information contained in TBD is presented supporting the most typical actions of crisis management centers. Attention was also drawn to methodological and technological aspects of taking advantage of TBD.