scholarly journals Analyzing Trends in Rainfall and Their Impacts in Water Management in a Cerrado Region in Brazil

2021 ◽  
Author(s):  
welber Ferreira Alves ◽  
Henrique Roig ◽  
Latif Kalin ◽  
Luciana Figueiredo Prado ◽  
Frédéric Satgé ◽  
...  
Keyword(s):  
Water Management ◽  
Population Growth ◽  
Trend Analysis ◽  
Climatic Changes ◽  
Rainfall Data ◽  
Total Precipitation ◽  
Water Crisis ◽  
Rain Gauges ◽  
June July August ◽  
June July

Abstract This study presents a trend analysis related to a Cerrado Region in Brazil surrounded by multiple climatic influences and which lived a recent water crisis (2016-2018). This crisis could be associated with climatic changes or population growth. To verify the first possibility, an analysis was performed on a series of rainfall data (21 rain gauges spread throughout the region) divided by season periods (December/January/February – DJF, March/April/May – MAM, June/July/August – JJA, September/October/November – SON, and Water Year – WY) to provide information about the presence of trends or lack thereof. Four statistics tests were used in this procedure: Cox-Stuart, Mann-Kendall, Spearman, and Wald-Wolfowitz. The overall results indicate that the percentage of gauges/periods displaying trends by the Mann-Kendall was 10.48%, Cox-Stuart 9.52%, Spearman 12.38, and Wald-Wolfowitz 8.57%. Of these gauges/periods, 70% were classified as highly skewed, 10% as moderately skewed, and 20% as symmetric. Most of the trends are concentrated in the JJA period where it registered about 22 mm of rainfall average while the annual mean total precipitation is ~1500 mm.

scholarly journals DYNAMICS PATTERNS OF INFLOW IN THE RESERVOIR THAT OPERATED FOR TWO DECADES

2021 ◽  
Vol 56 (4) ◽  
pp. 92-103
Author(s):  
Heriantono Waluyadi ◽  
Pitojo Tri Juwono ◽  
Widandi Soetopo ◽  
Rispiningtati ◽  
Lily Montarcih Limantara ◽  
...  
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Rainfall Data ◽  
Operation Pattern ◽  
The Pacific ◽  
Ocean Region ◽  
Reservoir Watershed ◽  
June July

Climate change in the past 20 years brings significant alteration in the earth surface. It affects extremely anomaly temperature, such as the ENSO, IOD, and SOI phenomena. The Pacific Ocean Region, the Indian Ocean Region, and the Darwin – Tahiti Region undergo an increase and a decrease in the sea surface temperatures (SST); thus, it can lead to seasonal change in Indonesia. Due to ENSO, IOD, and SOI, climate change also highly affects the operation pattern of reservoirs, food production, and other commodities. This research used SST data (Nino 1.2, Nino 3, Nino 3.4, Nino 4, IOD West, IOD East, and SOI) from National Oceanic and Atmospheric Administration (NOAA) and rainfall data from 1998 to 2018 of nine stations at Wonogiri Reservoir watershed. Trend analysis of the SST index indicated an increase in trend SST index. Trend analysis of monthly rainfall average at Wonogiri Watershed area indicated a decrease in January, March, April, May, June, July, August, and October, while it increased in February, September, November, and December. Multiple linear regression analysis with the stepwise regression method indicated that during the rainy season, the rainfall at Wonogiri Watershed and Inflow at Wonogiri reservoir were influenced by the SST index (Nino 1.2, Nino 3, Nino 3.4, Nino 4). Meanwhile, during the dry season, the rainfall at Wonogiri Watershed and the Inflow at Wonogiri reservoir were influenced by the SST index (IOD West, IOD East, and SOI). With monthly correlations between SST and rainfall data that have a dynamic characteristic, it can be used to calculate the inflow probability distribution in optimizing reservoir operation patterns.

scholarly journals Differential Influences of Teleconnections from the Indian and Pacific Oceans on Rainfall Variability in Southeast Asia

Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 886
Author(s):  
Abdul Azim Amirudin ◽  
Ester Salimun ◽  
Fredolin Tangang ◽  
Liew Juneng ◽  
Muhamad Zuhairi
Keyword(s):  
Indian Ocean ◽  
Southeast Asia ◽  
El Niño ◽  
El Nino ◽  
Rainfall Variability ◽  
June July August ◽  
Rainfall Patterns ◽  
Negative Impacts ◽  
The Individual ◽  
June July

This study investigates the individual and combined impacts of El Niño and the positive Indian Ocean Dipole (IOD) on the Southeast Asia (SEA) rainfall variability. Using composite and partial correlation techniques, it is shown that both inter-annual events have individually distinct impacts on the SEA rainfall anomaly distribution. The results showed that the impacts of the co-occurrence of El Niño and IOD events are significant compared to the individual effects of pure El Niño or pure IOD. During June-July-August and September-October-November, the individual impacts of the pure El Niño and IOD events are similar but less significant. Both events caused negative impacts over the southern part of SEA during June-July-August (JJA) and propagated northeastward/eastward during September-October-November (SON). Thus, there are significant negative impacts over the southern part of SEA during the co-occurrence of both events. The differential impacts on the anomalous rainfall patterns are due to the changes in the sea surface temperature (SST) surrounding the region. Additionally, the differences are also related to the anomalous regional atmospheric circulations that interact with the regional SST. The anomalous Walker circulation that connects the Indian Ocean and tropical Pacific Ocean also plays a significant role in determining the regional anomalous rainfall patterns.

Water management from tradition to second modernity: an analysis of the water crisis in Iran

2013 ◽  
Vol 15 (6) ◽  
pp. 1605-1621 ◽  
Author(s):  
Masoud Yazdanpanah ◽  
Dariush Hayati ◽  
Gholam Hosein Zamani ◽  
Fereshteh Karbalaee ◽  
Stefan Hochrainer-Stigler
Keyword(s):  
Water Management ◽  
Water Crisis ◽  
Second Modernity

scholarly journals Significant seasonal variations in the rate of women diagnosed with gestational diabetes: A observational single centre study of 28,128 women

2021 ◽  
Author(s):  
Matthew Cauldwell ◽  
Yolande VanDerI'isle ◽  
Ingrid Watt-Coote ◽  
Philip Steer
Keyword(s):  
Gestational Diabetes ◽  
Glucose Tolerance Test ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Test Design ◽  
Single Centre ◽  
June July August ◽  
Single Centre Study ◽  
The Mean ◽  
June July

Objective To test the hypothesis that there is seasonal variation in the rates of gestational diabetes (GDM) diagnosed using a 2 hour oral glucose tolerance test. Design Monthly assessment of the percentage of women screened from 1st April 2016 to the 31st December 2020 who were diagnosed as having gestational diabetes Setting London Teaching Hospital Population 28,128 women receiving antenatal care between April 1st 2016 and 31 December 2020. Methods Retrospective study of prospectively collected data. Main Outcome Measures Proportion of women screened diagnosed as having gestational diabetes. Results The mean (SD) percentage of women diagnosed with GDM was 14.78 (2.24) in summer (June, July, August) compared with 11.23 (1.62) in winter (p < 0.001), 12.13 (1.94) in spring (p = 0.002), and 11.88 (2.67) in autumn (p = 0.003). There was a highly significant positive correlation of the percentage testing positive for GDM with the mean maximum monthly temperature (R2 = 0.248, p < 0.001). There was a statistically significant 33.8% increase in the proportion of GDM diagnoses from June 2020 onwards, possibly related to a reduction in exercise secondary to the Covid-19 pandemic. Conclusions There is a 23.3% higher rate of GDM diagnoses in the warmer summer months. There has been a 33.8% rise in GDM diagnoses associated with the Covid-19 pandemic.

Advances in nanofluidics for water purification and filtration: molecular dynamics (MD) perspective

2021 ◽  
Author(s):  
Majid Shahbabaei ◽  
Daejoong Kim
Keyword(s):  
Molecular Dynamics ◽  
Population Growth ◽  
Environmental Pollution ◽  
Water Purification ◽  
Human Life ◽  
Life Quality ◽  
Water Crisis

Worldwide industrialization and population growth cause dramatic environmental pollution that is led to a water crisis. Lowering the human life quality and wasting annually abundant money worldwide are the consequences...

May—June—July—August

Fireflies ◽  
2017 ◽  
pp. 59-92
Author(s):  
David P. Owen
Keyword(s):  
June July August ◽  
June July

scholarly journals Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products

2019 ◽  
Vol 11 (5) ◽  
pp. 501 ◽  
Author(s):  
Biswa Bhattacharya ◽  
Maurizio Mazzoleni ◽  
Reyne Ugay
Keyword(s):  
Water Management ◽  
Remote Sensing ◽  
Large Scale ◽  
Hydrological Model ◽  
Rainfall Data ◽  
Flood Inundation ◽  
Hydraulic Modelling ◽  
Brahmaputra Basin ◽  
Gauged Basins ◽  
Global Datasets

Sustainable water management is one of the important priorities set out in the Sustainable Development Goals (SDGs) of the United Nations, which calls for efficient use of natural resources. Efficient water management nowadays depends a lot upon simulation models. However, the availability of limited hydro-meteorological data together with limited data sharing practices prohibits simulation modelling and consequently efficient flood risk management of sparsely gauged basins. Advances in remote sensing has significantly contributed to carrying out hydrological studies in ungauged or sparsely gauged basins. In particular, the global datasets of remote sensing observations (e.g., rainfall, evaporation, temperature, land use, terrain, etc.) allow to develop hydrological and hydraulic models of sparsely gauged catchments. In this research, we have considered large scale hydrological and hydraulic modelling, using freely available global datasets, of the sparsely gauged trans-boundary Brahmaputra basin, which has an enormous potential in terms of agriculture, hydropower, water supplies and other utilities. A semi-distributed conceptual hydrological model was developed using HEC-HMS (Hydrologic Modelling System from Hydrologic Engineering Centre). Rainfall estimates from Tropical Rainfall Measuring Mission (TRMM) was compared with limited gauge data and used in the simulation. The Nash Sutcliffe coefficient of the model with the uncorrected rainfall data in calibration and validation were 0.75 and 0.61 respectively whereas the similar values with the corrected rainfall data were 0.81 and 0.74. The output of the hydrological model was used as a boundary condition and lateral inflow to the hydraulic model. Modelling results obtained using uncorrected and corrected remotely sensed products of rainfall were compared with the discharge values at the basin outlet (Bahadurabad) and with altimetry data from Jason-2 satellite. The simulated flood inundation maps of the lower part of the Brahmaputra basin showed reasonably good match in terms of the probability of detection, success ratio and critical success index. Overall, this study demonstrated that reliable and robust results can be obtained in both hydrological and hydraulic modelling using remote sensing data as the only input to large scale and sparsely gauged basins.

INVESTIGATION AND EVALUATION OF NOISE LEVEL IN THE NORTHERN PART OF KLAIPEDA CITY/TRIUKŠMO LYGIO ŠIAURINĖJE KLAIPĖDOS MIESTO DALYJE TYRIMAI IR ĮVERTINIMAS/ИССЛЕДОВАНИЕ И АНАЛИЗ ШУМОВОГО УРОВНЯ В СЕВЕРНОЙ ЧАСТИ ГОРОДА КЛАЙПЕДЫ

2008 ◽  
Vol 16 (2) ◽  
pp. 89-96 ◽  
Author(s):  
Vaidotas Vaišis ◽  
Tomas Januševičius
Keyword(s):  
Noise Level ◽  
Heavy Traffic ◽  
Motor Vehicles ◽  
Noise Levels ◽  
June July August ◽  
The World ◽  
Noise Measurements ◽  
June July ◽  
July August September

The problem of noise is topical not only in Lithuania but the world over as well. The northern part of Klaipeda city is distinct for its industry and heavy traffic in the streets. Noise research was carried out in 17 selected measurement locations in the northern part of Klaipeda city. Noise measurements were taken in May, June, July, August, September, October and November. The measurements were made three times during the day: in the day time from 6 a.m. till 6 p.m., in the evening from 6 p.m. till 10 p.m. and at night from 10 p.m. till 6 a.m. The locations of the measurements are marked on the map. In order to distinguish the source of bigger noise between industry and transport, the northern part was divided into two belts. Industry is prevalent in the first belt, whereas the main troublemakers in the second belt are motor vehicles. The measured noise level is compared with permissible standards in measurement locations, where noise level is usually exceeded, and the analysis of noise levels is presented. In order to show the spread of noise in Klaipeda at all three times of the day more vividly, maps of isolines were compiled. Santrauka Triukšmas - ne tik Lietuvoje, bet ir visame pasaulyje aktuali problema. Klaipedos miesto šiaurine dalis yra išskirtine savo pramone ir intensyviu eismu gatvese. Triukšmo tyrimai atlikti šiaurineje Klaipedos miesto dalyje, 17‐oje pasirinktu matavimo vietu. Triukšmas matuotas gegužes, birželio, liepos, rugpjūčio, rugsejo, spalio ir lapkričio menesiais. Matavimai atlikti trimis paros laikais: diena nuo 6–18 valandos, vakare nuo 18–22 valandos ir nakti nuo 22–6 valandos. Matavimo vietos pateiktos žemelapyje. Siekiant nustatyti, kas kelia didesni triukšma ‐ pramone ar transportas, šiaurine miesto dalis suskirstyta i dvi zonas. Pirmojoje zonoje vyrauja pramone, o antrojoje zonoje pagrindinis triukšmo šaltinis automobiliai. Išmatuotas triukšmo lygis palygintas su leistinosiomis normomis. Pateikta matavimo vietu, kuriose dažniausiai viršijamas triukšmo lygis, triukšmo lygiu analize. Siekiant aiškiau parodyti, kaip triukšmas pasiskirsto Klaipedos mieste visais trimis paros laikais, sudaryti izoliniju žemelapiai. Резюме Шум является актуальной проблемой не только в Литве, но и во всем мире. Северная часть города Клайпеды является промышленным районом с интенсивным транспортным движением. Для исследования шума в этой части города было выбрано 17 мест замера. Шум измерялся с мая по ноябрь. Измерения проводились 3 раза в разное время суток: днем в 6–18 ч, вечером в 18–22 ч и ночью в 22–6 ч. Места замеров показаны на карте. С целью установить, что является бóльшим источником шума – промышленные предприятия или транспортные средства, северная часть города была поделена на две зоны. В первой зоне преобладали промышленные предприятия, а во второй – транспорт. Измеренный уровень шума сравнивался с разрешенным нормами. Для мест замеров, в которых чаще всего уровень шума превышал норму, предлагался анализ уровня шума. Для лучшего представления о распределении шума в городе Клайпеде в разное время суток были созданы карты изолиний.

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