Wyniki wyszukiwania - BazTech

1

Characteristic of regional groundwater flow system: case modeling study in Longzici karst spring area, North China

Qiao Xiaojuan, Cheng Yu, Wang Dawei

Acta Geophysica

|

2024

|

Vol. 72, no. 1

323–-339

EN

Karst spring water dynamic characteristics and its response to atmospheric precipitation are of great significance for water resources utilization under the background of climate change. This paper selects Longzici spring area, North China, as the study area. Based on a long series of spring water flow and precipitation data, the dynamic characteristics of spring flow were analyzed and the numerical simulation of the groundwater flow model was established. The results show that the groundwater kept the sustained decline over the past decades which is in a negative equilibrium state, with a storage variable of - 2.26 million m3/year. The sensitivity of spring flow to precipitation under different precipitation scenarios shows that the water level changes in the recharge and drainage areas are similar about (3-5 cm) and slightly larger than that in the runoff area(1.5 cm) when minimum rainfall (287.24 mm) happens. When the precipitation is at its maximum (867.66 mm), the water level change in the runoff area can reach 95 cm which is much larger than those in the recharge and discharge areas. The results indicate that Longzici karst spring has a relatively good regulation water resource capacity and the runoff area is more sensitive which plays an important role in response to climate change.

2

Comparison of different ensemble precipitation forecast system evaluation, integration and hydrological applications

Tang Yehai, Wu Qiang, Soomro Shan-e-hyder, Li Xiang, Sun Yue, Hu Caihong

Acta Geophysica

|

2023

|

Vol. 71, no. 1

405--421

EN

The examination and integration of numerical forecast products are essential for using and developing numerical forecasts and hydrological forecasts. In this paper, the control forecast products from 2010 to 2014 of four model data (China Meteorological Administration (CMA), the National Centers for Environmental Prediction (NCEP), the European Centre for Medium-Range Weather Forecasts (ECMWF), and the United Kingdom Meteorological Office (UKMO)) from The Interactive Grand Global Ensemble (TIGGE) data center were evaluated comprehensively. On this basis, a study of runoff forecasting based on multi-model (multiple regression (MR), random forest (RF), and convolutional neural network-gradient boosting decision tree (CNN-GBDT)) precipitation integration is carried out. The results show that the CMA model performs the worst, while the other models have their advantages and disadvantages in different evaluation indexes. Compared with the single-index optimal model, CMA model had a higher root-mean-square error (RMSE) of 18.4%, and a lower determination coefficient (R2 ) of 14.7%, respectively. The integration of multiple numerical forecast information is better than that of a single model, and CNN-GBDT method is superior to the multiple regression method and random forest method in improving the precision of rainfall forecast. Compared with the original model, the RMSE decreases by 13.1 ~27.9%, PO decreases to 0.538 at heavy rainfall, and the R2 increases by 4~15.2%, but the degree of improvement decreases gradually with the increase in rainfall order. The method of multi-model ensemble rainfall forecasting based on a machine learning model is feasible and can improve the accuracy of short-term rainfall forecasting. The runoff forecast based on multi-model precipitation integration has been improved, and NSE increases from 0.88 to 0.935, but there is still great uncertainty about food peaks during the food season.

3

Validation of CHIRPS satellite based precipitation data against the in situ observations using the Copula method: a case study of Kosar Dam basin, Iran

Mokhtari Shirin, Sharafati Ahmad, Raziei Tayeb

Acta Geophysica

|

2022

|

Vol. 70, no 1

465--484

EN

The present study compares the daily and monthly precipitation estimates of the CHIRPS satellite data with the in situ measurements at four stations scattered over the Kosar Dam basin in southwestern Iran. The uncertainty of the satellite precipitation estimates was calculated through simulation with the Copula functions. For this purpose, 55% of the stations, daily and monthly rainfall data relative to the 1987–2012 period were used for training (simulation), and the other 45% were used for testing (validation) the performance of the Copula model. First, the daily, monthly, and annual satellite precipitation estimates were statistically compared with precipitation observed at the stations and the whole basin using the Pearson correlation coefficient (CC), root mean square error (RMSE), and Bias statistics. The computed CC between the areal average of observed and satellite precipitation estimation at the basin is 0.49, 0.82, and 0.33 for daily, monthly, and annual time scales, respectively. The difference (biases) between the satellite estimates and in situ measurements was then calculated for daily, monthly, and annual time scales over the training period. The obtained biases were subsequently fitted with the General Extreme Value distribution function coupled with the Gaussian Copula model to generate a series of similar random biases for all precipitation events. Then, the generated random biases were summed with the original satellite estimates to correct the associated biases. The bias-corrected precipitation for the training period was then compared to the original estimates of the satellite at the stations and the whole basin using the P-factor, R-factor, Bias, RMSE, and CC statistics. The statistics show that the random biases generated by the Copula method for the monthly CHIRPS satellite data relative to the 14-year training period have reduced the error rate of the satellite data by 74 to 95 percent when compared to observations. The satellite precipitation estimates of the 11-year test period were also corrected using the generated random biases in the training period. The results show that the bias correction considerably improved the monthly estimates and reduced the error rate of the satellite estimation by about 76 percent. In general, the simulation of the satellite precipitation with the Gaussian Copula model was performed satisfactorily at the monthly time scale, but it was less efficient at the daily time scale.

4

Spatial analysis of seasonal precipitation using various interpolation methods in the Euphrates basin, Turkey

Katipoğlu Okan Mert

Acta Geophysica

|

2022

|

Vol. 70, no 2

859--878

EN

It is vital to accurately map the spatial distribution of precipitation, which is widely used in many fields such as hydrology, climatology, meteorology, ecology, and agriculture. This study aimed to reveal the spatial distribution of seasonal, long-term average precipitation in the Euphrates Basin with various interpolation methods. For this reason, Simple Kriging, Ordinary Kriging, Universal Kriging, Ordinary CoKriging, Empirical Bayesian Kriging, Radial Basis Functions (Completely Regularized Spline, Thin Plate Spline, Multiquadratic, Inverse Multiquadratic, Spline with Tensor), Local Polynomial Interpolation, Global Polynomial Interpolation, and Inverse Distance Weighting methods have been applied in the Geographical Informa tion Systems environment. Long-term seasonal precipitation averages between 1966 and 2017 are presented as input for predicting precipitation maps. The accuracy of the precipitation prediction maps was based on linear regression analysis, root mean square error (RMSE), mean absolute error (MAE), correlation coefficient (R), and determination coefficient (R2 ) values obtained from the cross-validation tests. The most suitable method was chosen for the interpolation method that gives the lowest RMSE, MAE, and the largest R and R2 . As a result of the study, Ordinary CoKriging in spring and winter precipitation, Local Polynomial Interpolation in summer precipitation, and Ordinary Kriging in autumn precipitation were the most appropriate estimation methods.

5

Increasing pre-monsoon rain days over four stations of Kerala, India

Umakanth Nandivada, Kalyan S. S. S., Satyanarayana Gubbala China, Gogineni Rajesh, Nagarjuna Ayachithula, Naveen Ramisetti, Rao Kokkerapati Ramachandra, Rao Myla Chimpiri

Acta Geophysica

|

2022

|

Vol. 70, no 2

963--978

EN

The climate of India varies greatly by region, as seen by wind patterns, temperature and rainfall, seasonal rhythms and the degree of wetness or dryness. During the several seasons, the weather conditions change. Changes in meteorological factors (temperature, pressure, wind direction and velocity, humidity and precipitation, etc.) cause these changes. The pre-monsoon season (PRMS) comprises of March, April and May months. The precipitation patterns observed in PRMS are crucial because it affects a variety of crop-related operations across the country. The lifting index (LI), K index (KI), total totals index (TTI), humidity index (HI), improved k index, improved total totals index, total precipitable water (TPW) and convective available potential energy (CAPE) are studied at four locations in Kerala during PRMS. These variables were examined on rain day (RD)’s and no rain day (NRD)’s. The four stations we chose for our investigation were Thiruvananthapuram, Kochi, Alappuzha and Kannur. The GPM IMERG (Integrated Multi-satellite Retrievals for Global Precipitation Measurement) daily rainfall datasets have been utilized for this analysis. Fifth-generation ECMWF atmospheric reanalysis (ERA5) daily data for the PRMS of 2021 were used to measure all rainfall-related variables. During PRMS, all metrics clearly distinguished the RD and NRD. The rise in relative humidity and observations of dew point depression indicates that there is enough moisture for convective rain. In May, there were more negative VV values than in April.

6

Co-occurrence probability of water balance elements in a mountain catchment on the example of the upper Nysa Kłodzka River

Perz Adam, Sobkowiak Leszek, Wrzesiński Dariusz

Acta Geophysica

|

2022

|

Vol. 70, no 3

1301--1315

EN

Conditions of the formation of key elements of the water balance, such as precipitation and runoff, and relations between them in the mountain catchment area are very complicated, conditioned both by the climatic factor and the physiographic characteristics of the catchment area. The aim of the study is to determine relations between precipitation and runoff in the Kłodzka Valley (KV) located in mountain areas of south-western Poland. Analyzes were based on precipitation in KV and discharges of the Nysa Kłodzka River and its tributaries, recorded in hydrological years 1974–2013. The bivariate Archimedean copulas were used to describe the degree of synchronicity between these variables. The study area shows a considerable variability in the conditions of transformation of precipitation into runoff. It is conditioned both by the pluvial regime and the physical-geographical characteristics of the catchment area. As a result, sub-catchments with diversified hydrological activity and their role in the formation of water resources of the entire KV were identified. Among them, the Biała Lądecka River sub-catchment was found to be the most hydrologically active, and the sub-catchment of Bystrzyca Dusznicka River the most inert, despite e.g. quite similar synchronicity of precipitation compared to the average precipitation in KV. At the same time, the KV rivers are characterized by different types of runoff regime and characteristic of the water balance structure. The methodology presented can be useful in determining dependencies between selected elements of the water balance and evaluation of water resources availability in source areas of mountain rivers.

7

Application of non parametric innovative trend analysis of different time scale precipitation during (1951-2016) in Khyber Pakhtunkhwa, Pakistan

Gul Sajid, Ren Jingli

Acta Geophysica

|

2022

|

Vol. 70, no 1

485--503

EN

Reliable information on the frequency and duration of excessive precipitation in foods, droughts, earthquakes, coastal foods, and hill torrents is critical to natural disaster planning and disaster risk reduction strategies. The current study examined precipitation on a monthly, seasonal, and annual scale at varying amplitudes. Moreover, the Mann–Kendall and Sen Innovative trend analysis (ITA) approaches are used to examine precipitation variations. This study aims to evaluate the Mann–Kendall and Sen Innovative Trend Analysis techniques to understand better how they apply to the topic under consideration. Overall, 84.16% of testing months showed trendless precipitation based on the MK trend test. Comparatively, the ITA monthly analysis showed statistically significant variation in 80% months and 88% considerable rate in seasonal perspective over the entire study regions. The research recognized that the Sen Innovative trend test outperforms the Mann–Kendall analysis in a range of circumstances. First of all, Sen Approach has simple assumptions, and the study of skewed distributions with fewer data could apply. Another benefit of using the ITA was that all data sets could be viewed on a graph, making it easier to see pat terns and interpret the trends. Thus, the research recommends that the Sen Trend Method (ITA) analyze monthly, seasonal, and annual precipitation patterns to facilitate water resource scheduling and establish natural disaster strategies in the future.

8

An investigation into the role of synoptic conditions on Central African precipitation variability

Zebaze Sinclaire, Pathak Raju, Komkoua Mbienda A. J., Pokam Mba Wilfried, Salunke Popat, Anand Abhishek, Vondou Derbetini Appolinaire, Lenouo André, Mishra Saroj Kanta

Acta Geophysica

|

2022

|

Vol. 70, no 2

943--962

EN

The synoptic precipitation variability over Central Africa (CA) in the March-to-May (MAM) and September-to-November (SON) seasons is investigated in this study. The composite analysis is used to highlight the evolution of synoptic precipitation, related convection, and dynamic fields. Composite analysis findings show that synoptic precipitation anomalies increase/ fade with an increase/decrease in convection, with the largest amplitude over 5° S–10° N and 2.5–20° E in MAM and 5° N–7.5° N and 5–15° E in SON. Precipitation anomalies and convection associated with the synoptic variability progress eastward preceded (followed) by eastward (westward) low-level wind. This synoptic sequence is associated with a downward motion and an inflow, indicating the storm’s presence, which contributes significantly to precipitation initiation over CA. The empirical orthogonal function for precipitation during the SON season is lower than that observed during the MAM season in the context of the size and spatial pattern. During these precipitation occurrences, the zonal moisture component contributes the most to the moisture initiation over the region. The findings of this study show that the observed convergence/ divergence position remains unchanged in intensity irrespective of the positive/negative precipitation events. Overall, the synoptic-scale conditions in MAM contribute around 58% of the total variability in precipitation.

9

An Analysis of Total Water Storage Changes Obtained from GRACE FO Observations over the Venezia Islands Area Supported with Additional Data

Biryło Monika, Rzepecka Zofia

Geomatics and Environmental Engineering

|

2021

|

Vol. 15, no. 2

17--31

EN

The Venezia Islands are a very special area from the hydrological point of view due to its water mass changes. Regular floods results in the need for the regular monitoring of water mass changes. For this purpose, a Gravity Recovery and Climate Experiment mission (GRACE) can be used as a source of data. The aim of the paper is to compare the latest results of the new GRACE FO observations. The comparisons were carried out all over Venezia Island using the L3 level, RL06 release data obtained with spherical harmonics degree and order extension of up to 120, by the three most important computational centres: JPL, GFZ, CSR. Results are compared to an average month values of precipitation and evapotranspiration and tide gauge data in the nearby area. Based on the research, no dependence between TWS and evapotranspiration and evapotranspiration change were found.

10

Construction of reservoirs using polymer-mineral materials N1 and PMM

Tokmajan Vache, Vartanyan Artur, Mikayelyan Nver

Budownictwo o Zoptymalizowanym Potencjale Energetycznym

|

2021

|

Vol. 10 Nr 2

31--38

EN

This paper presents technological innovations based on new hydraulic insulating materials, the use of which in reservoir construction will essentially reduce construction costs by up to half. New polymer-mineral based waterproofing materials N1 and PMM can be used to construct inexpensive reservoirs. In particular, a thoroughly mixed mixture of soil taken from the bottom of a reservoir or other substrate with PMM material at a ratio of 30 grams PMM to one kg of the substrate, laid on the bottom of the reservoir with a thickness of at least 10 cm, and tamped down to a layer of 7 cm or less, will withstand at least 2.5-3 atm pressure of water column. A similar result can be obtained if a 5 cm thick layer of N1 material is laid on the reservoir bottom, together with pebbles to reduce the cost of the proposed solution.

11

Effect of the Precipitation Hardening on the Structure of AlSi7Mg0.3Cu0.5 Alloy with Addition of Zr and Combination of Zr and Ti

Kuriš M., Bolibruchova D., Matejka M., Kantorikova E.

Archives of Foundry Engineering

|

2021

|

Vol. 21, iss. 1

95--100

EN

The article focused primarily on comparing the achieved mechanical results for AlSi7Mg0.3Cu0.5Zr and AlSi7Mg0.3Cu0.5Zr0.15Ti experimental alloys. Experimental variants with the addition of Zr ≥ 0.05 wt. % demonstrated the ability of Zr to precipitate in the form of Al3Zr or AlSiZr intermetallic phases. Zr precipitated in the form of long smooth needles with split ends. When evaluating the thermal analyses, the repeated peak was observed already with the initial addition of Zr in the range of approximately 630°C. It was interesting to observe the increased interaction with other intermetallic phases. EDX analysis confirmed that the individual phases are based on Cu, Mg but also Fe. Similar phenomena were observed in experimental alloys with a constant addition of Zr and a gradual increase in Ti by 0.1 wt. %. A significant change occurred in the amount of precipitated Zr phases. A more significant increase in mechanical properties after heat treatment of AlSi7Mg0.3Cu0.5Zr experimental alloys was observed mainly above the Zr content ≥ 0.15 wt. % Zr. The improvement of yield and tensile strength over the AlSi7Mg0.3Cu0.5 reference alloy after heat treatment was minimal, not exceeding 1 %. A more significant improvement after heat treatment occurred in modulus of elongation with an increase by 6 %, and in hardness with an increase by 7 %. The most significant drop occurred in ductility where a decrease by 31 % was observed compared to the reference alloy. AlSi7Mg0.3Cu0.5Zr0.15Ti experimental alloys, characterized by varying Ti content, achieved a more significant improvement. The improvement in tensile strength over the AlSi7Mg0.3Cu0.5 reference alloy after heat treatment was minimal, not exceeding 1 %. A more significant improvement after heat treatment occurred in modulus of elongation with an increase by 12 %, in hardness with an increase by 12 % and the most significant improvement occurred in yield strength with a value of 18 %. The most significant decrease also occurred in ductility where, compared to the reference alloy, the ductility drop was by up to 67 %.

12

Research on launching technology of shield tunnel in Ho Chi Minh Metro line 1

Nguyen Xuan Loi, Wu Li, Nguyen Khanh Tung, Bui Quang Anh, Nguyen Huy Hoang, Luu Hoang Phuong

Archives of Civil Engineering

|

2021

|

Vol. 67, nr 1

387--401

EN

The use of subway tunnel engineering technology has become more professional and refined with the growth of society and the advancement of science and technology. The initial construction process of a subway tunnel shield is the most critical part of the entire engineering system. Shield launching period construction is the most prone to accidents in the shield construction process, directly related to the smooth through the shield tunnel. The line 1 of Ho Chi Minh (HCM) Metro is the first subway line, the full length of 19.7 km, the underground road length of 2.6 km from km 0 + 615 to km 2 + 360, from Ben Thanh market, and then through the Sai Gon river and 14 station (including 3 underground stations and 11 elevated stations), reach Suoi Tien park and is located in Long Binh area station, underground building blocks including Ben Thanh market station to Opera House station interval, Opera House station, Opera House station to Ba Son station interval. This paper selects Shield launching period of Opera House station to Ba Son shaft interval as an example, analyze the key construction technology, construction control parameters and launching considerations of shield machine.

13

Evaluation of different gridded precipitation products in trend analysis of precipitation features over Iran

Shobeiri Shahin, Sharafati Ahmad, Neshat Aminreza

Acta Geophysica

|

2021

|

Vol. 69, no. 3

959--974

EN

In recent years, gridded precipitation products have been widely used in hydrology studies and other felds of water sciences. This study evaluated the potential of several gridded precipitation products, including GPCC, TRMM, CRU, ERA-Interim, and ERA5, in trend analysis of precipitation depth and the number of rainy days in various regions of Iran. Moreover, the observational precipitation data of the daily time series were collected from 68 Iranian synoptic stations. The Mann–Kendall test was conducted to determine gridded and observed precipitation trends in the period of 1997 to 2017. The probability of detection (POD) and false alarm ratio (FAR) indices were utilized to compare gridded and observed precipitation trends. Results showed that the best consistency (POD: 52% ~ 80%, FAR: 60% ~ 88%) was observed between the observed trends of the number of rainy days and those obtained by TRMM product over different regions of Iran. Moreover, ERA-Interim ofered a better performance (POD: 50% ~ 100%, FAR: 58% ~ 72%) in the trend analysis of precipitation depth in Iran. The consistency between observational and gridded precipitation trends has never been analyzed in Iran at this level; therefore, this is considered a unique analysis. Besides, the generated maps of precipitation products’ performance provide a comprehensive view of better water resources management over different regions of Iran.

14

Evaluating the reconstruction method of satellite based monthly precipitation over Golestan province, Northern Iran

Abdollahipour Arman, Ahmadi Hassan, Aminnejad Babak

Acta Geophysica

|

2021

|

Vol. 69, no. 6

2305--2323

EN

Accurate gridded precipitation data with high spatial and temporal scales are required for diverse studies such as climatology, meteorology, and hydrology. Currently, one of the sources of global precipitation estimation is the satellite-based precipitation estimate products. Nonetheless, their spatial resolution is often too coarse for usage in local region and basin scales or for parameterizing of meteorological and hydrological models at regional scales. In the present paper, a reconstruction method of satellite-based monthly precipitation was developed to attain improved pixel-based precipitation data with high spatial resolution on Golestan province in Northern Iran. In this endeavor, we considered the spatially heterogeneous relationships between tropical rainfall measuring mission (TRMM) precipitation and environmental variables utilizing the moving-window regression methods, the geographically weighted regression (GWR) and the mixed geographically weighted regression (MGWR) models. By in situ observations from rain gauges in the study area, the calibration and validation were performed, and the following conclusions were derived: (1) the proposed procedure had the ability to enhance both the spatial resolution and accuracy of satellite-based precipitation estimates; (2) the monthly reconstructed precipitation using the GWR model (CC=0.69, bias=0.75) and using the MGWR model (CC=0.72, bias=0.64) outperformed the TRMM-3B43V7 data (CC=0.58, bias=0.84) against ground observations; (3) this research offered a potential solution for producing gridded precipitation estimates at high spatial resolution. remote sensing

15

Aerosol dipole pattern over India: consequences on rainfall and relation with wind circulations

Vissa Naresh Krishna, Tyagi Bhishma

Acta Geophysica

|

2021

|

Vol. 69, no. 6

2475--2482

EN

The aerosol concentrations are changing in rapid phase in the recent decades over Indian subcontinent. A general conclusion that is postulated from various studies indicated high aerosol loading over the Indian subcontinent. The aerosol concentrations are found to alter cloud-precipitation chemistry globally. Analysing the trends of aerosol concentrations over the Indian subcontinent is crucial to understand in depth the aerosol–precipitation relationship over these regions. In the present study, the long-term trend (2000–2019) of aerosols, precipitation and winds has been analysed over the Indian subcontinent. The work aims to identify the zones of significant increasing/decreasing Aerosol Optical Depth concentrations and alter the rainfall patterns over these regions. Mann–Kendall test has been employed for trend analysis. An aerosol dipole pattern is observed along the eastern-western boundaries of the monsoon trough over the Indian subcontinent (India, Bangladesh and Pakistan), which shows an inverse relationship with the rainfall patterns. Over the north-western region of the Indian subcontinent, the reduced pollution and enhanced precipitation may further alter the land-sea thermal gradient, resulting in the weakening of monsoonal circulation. Enhanced pollution over eastern India is adjusting the precipitation distribution along with the weakening of low-level jet and moisture transport. The present study provides an evidence of aerosol–precipitation relation over the Indian subcontinent using long-term datasets that has profound application in better understanding the weather systems.

16

Mauritius, Rodrigues (z wodą w tle)

Szkutnicki Jerzy

Przegląd Geofizyczny

|

2020

|

Z. 1-2

69--79

PL

Artykuł ma charakter wspomnienia omawiające warunki, w jakich realizowano projekt FAO, którego celem była ocena zasobów wodnych i organizacja służby hydrologicznej na wyspie Rodrigues, należącej do Republiki Mauritiusu. Na podstawie danych z Mauritiusu, gdzie funkcjonuje dosyć dobrze służba hydrologiczna, oceniono w przybliżeniu zasoby wodne wyspy Rodrigues. Objętość wody opadowej jest duża, ale cyklonalny, zmienny rozkład opadów, wysokie parowanie, a przede wszystkim szybki odpływ powierzchniowy, spowodowany wylesieniem wyspy, powodują dotkliwy niedobór wody słodkiej. Gromadzenie wody poprzez budowę zbiorników retencyjnych, zalesienie i racjonalne metody agronomiczne jest możliwe tylko w sytuacji prawidłowego rozpoznania dyspozycyjnych zasobów wodnych i ich rozkładu w czasie i przestrzeni. W tym celu przewidziano organizację służby hydrologicznej na wyspie Rodrigues, kontrolującej stany wody, natężenie przepływu i zgromadzoną wodę w zbiornikach retencyjnych. Zaplanowano instalację pięciu stacji hydrologicznych: dwóch na istniejących zbiornikach retencyjnych, jednej na zbiorniku projektowanym i dwóch na potokach w warunkach naturalnych. W sąsiedztwie stacji hydrologicznych zaplanowano stacje opadowe. Wybór sprzętu hydrologicznego i warunki instalacji stacji były trudne ze względu na krótkie czasy koncentracji wezbrań, prędkości wody, które mogą przekraczać 6 m/s oraz transport grubego rumowiska rzecznego. Przewidziano limnigrafy i pluwiografy Stevens na karty magnetyczne. Zainstalowano prowizorycznie dwie stacje na zbiornikach w celu oceny zgromadzonych zasobów wodnych oraz szkolenia personelu. Dalsze prace przewidziano w kolejnych etapach projektu, ale ich losy nie są znane.

EN

This article traces work in the FAO project on Rodrigues Island belonging to the Republic of Mauritius. The objective of the project was to assess the water resources of Rodrigues Island, which suffers from freshwater scarcity, and to organize the hydrological service that does not exist on the island. On the basis of hydrological data from Mauritius, it was possible to estimate the water resources on the island. Water inflows on this island are relatively high, but the cyclonic nature of the precipitation, high evaporation, and especially the very rapid surface runoff due to deforestation, are the cause of the freshwater shortage. In order to retain water, it is necessary to know its availability and distribution in space and time. The creation of a hydrological service was therefore planned in order to control precipitation, water level, flow rates and the volume of water stored. Five stations were planned. hydrological equipped with limnigraphs and pluviographs: of which three stations on water reserves and two on natural torrents. The choice of measurement equipment was problematic for the courses of water with very short concentration time, high flow rates exceeding 6 m/s and solid flow consisting of large rocks. Stevens Materials with Magnetic Cards have been proposed. Two temporary stations on the water reservoirs were set up to monitor the volumes of water stored and to form young hyroloquia, has this method. Continuing work was scheduled by the next phase of the project.

17

The application of anti-filtering polymer mass to solve the water storage problem in highland regions

Tokmajyan Vache H., Vardanyan Arevshad A., Galstyan Armavir G., Miqayelyan Nver A.

Budownictwo o Zoptymalizowanym Potencjale Energetycznym

|

2020

|

Vol. 9 Nr 2

17--22

EN

Using additives with water absorbing characteristics enables us to increase the amount of water in natural basins and significantly decrease the amount of water for agricultural usage. Despite various additives already existing, they are yet to be commonly used due to high cost price, complex technology, toxic impact and instability in biological and atmospheric conditions. However, the «Natlen» composite, which is a naturally based additive, is ecologically safe. It has a long shelf life, is cheap and provides high antifiltering rates. The composite is eruptive with dispersity of any type and is jelly when boosted. In an antifiltering layer it never cracks under static and dynamic influences. It has no seam and is resistant to aggressive liquids. It is ecologically safe. «Natlen» composite is recommended for building water basins in pastures, where it can particularly be used to satisfy the demand for drinking water for cattle.

18

Deciphering the performance of satellite based daily rainfall products over Zambia

Libanda Brigadier, Mie Zheng, Nyasa Linda, Chilekana Ngonga

Acta Geophysica

|

2020

|

Vol. 68, no. 3

903--919

EN

The amount and distribution of precipitation plays a vital role in the management of water resources, agriculture and foodrisk preparedness. Unfortunately, Zambia like many other developing countries is a highly data-scarce country with few and unevenly distributed meteorological stations. The objective of this study was to run a comparative analysis of satellite-based rainfall products (SRPs) and gauge data to ascertain the reliability of using SRPs for daily rainfall measurements in Zambia. The four daily SRPs examined in this study include the following: The Tropical Applications of Meteorology using Satellite and ground-based observations version 3 (TAMSATv3), Precipitation Estimation from Remotely Sensed Information using Artifcial Neural Networks (PERSIANN), the Climate Hazards group InfraRed Precipitation with Station data version 2 (CHIRPSv2.0), and the African Rainfall Climatology Version 2 (ARCv2). SRPs were compared to rain gauge data from 35 meteorological, agrometeorological, and climatological stations in Zambia for the period 1998–2015. Statistical analyses were extensively carried out at temporal scales inter alia daily, monthly, seasonal and annual. Comparisons were also done for three stations lying at the highest, middle and lowest elevations to examine the ability of SRPs to capture precipitation occurrences on complex topography. Strong coefcient of determination (>0.9) of all the SRPs and gauge data were found at the monthly scale even over multifaceted topography. However, the ability of these products to capture rain gauge data at daily, seasonal and annual scales difers markedly. Specifcally, PERSIANN outperforms all the other SRPs at all scales, CHIRPSv2.0 is rated second, followed by TAMSATv3 and ARCv2, respectively. These results suggest that PERSIANN can reliably be used in studies that seek to estimate rainfall in data-sparse regions of Zambia at any temporal scale and arrive at similar results to rain gauge data.

19

Dynamika przemieszczeń wybranych osuwisk w Karpatach

Warmuz Bartłomiej, Nescieruk Piotr

Przegląd Geologiczny

|

2019

|

Vol. 67, nr 5

326--331

EN

The paper presents the activity ofselected landslides where instrumental monitoring has been carried out within the Framework of Landslide Counteracting System (SOPO). The temporal relationships between subsurface dynamics (displacements) and geological structure with respect to atmospheric precipitation are discussed. In order to expose these relationships, the landslides were divided into two groups: the first one is located in the areas where the bedrock is made up of flysch formations with the predominance of clay rocks. The second group is located in areas with the prevalence of sandstones in the bedrock. The analysis of the 10-year record shows that, in the areas where the geological structure is dominated by clays, the landslides present continuous activity with displacements not exceeding a dozen mm/year. In the areas where in the geological foundation (bedrock) sandstones are dominated, landslide movements were usually more impulsive. Dislocations were recorded mainly after intense, long-lasting precipitation or heavy rainstorms. In extreme situations the large displacements caused total destruction of the measuring column.

20

Influence of the Copper Smelter in Krompachy (Slovakia) on Atmospheric Deposition

Hancul'ak Jozef, Spaldon Tomislav, Sestinova Olga

Inżynieria Mineralna

|

2019

|

R. 21, nr 1

7--12

EN

The contribution deals with the evaluation of atmospheric deposition monitoring in 2009–2017 which was realised in the vicinity of the copper smeltery in Krompachy (Slovakia). The samples were collected from the seven sites, which are located from 1.2 to 10 km from the main pollution source. The atmospheric deposition fluxes of solid particles and elements (Fe, Al, Mn, Zn, Pb, Cu, Cr, Cd, As) were determined separately for “water soluble” and “insoluble” fraction. The detailed analysis of deposition fluxes showed a significant effect of the copper smeltery. In addition to the expected high levels of deposition of copper (21–140), the above-average high deposition of lead (11–124), zinc (86–464) and cadmium (0.6–3.4 μg.m–2.day–1) were measured in comparison with different areas. The highest values of deposition fluxes of these elements were detected at sites near the copper smeltery. The level of zinc deposition disagrees with its registered emissions.

PL

Artykuł dotyczy oceny poziomu emisji pyłów do atmosfery spowodowanej przez Hutę Miedzi Krompachy (Słowacja) w latach 2009–2017. Próbki opadu pobrano z siedmiu miejsc, które znajdują się w odległości od 1,2 do 10 km od głównego źródła zanie- czyszczeń. Zbadano osadzanie się cząstek stałych i zawartości pierwiastków (Fe, Al, Mn, Zn, Pb, Cu, Cr, Cd, As). Zawartości pierwiastków określono oddzielnie dla frakcji rozpuszczalnej w wodzie i nierozpuszczalnej. Szczegółowa analiza źródeł opadów atmosferycznych wykazała znaczący wpływ huty miedzi. Oprócz oczekiwanego wysokiego poziomu zawartości miedzi (21–140), stwierdzono wysoką depozycję ołowiu (11–124), cynku (86–464) i kadmu (0,6–3,4 μg.m-2 dzień-1). Najwyższe zawartości pier- wiastków w opadzie atmosferycznym wykryto w pobliżu huty miedzi. Stwierdzona zawartość cynku w opadzie nie odpowiada wielkości emisji.