scholarly journals A Study of Change in Rainfall Pattern in Anand (middle Gujarat) in the last 60 years (1958-2017)

2019 ◽  
Vol 14 (1) ◽  
pp. 128-133
Author(s):  
Kapil Mandloi ◽  
G.J. Kamani ◽  
S.S. Chinchorkar
Keyword(s):  
Rainfall Intensity ◽  
Monthly Rainfall ◽  
Rainfall Pattern ◽  
Annual Data ◽  
Maximum Rainfall ◽  
Rainfall Analysis ◽  
Rainfall Variation ◽  
Average Monthly Rainfall ◽  
Term Data

The analysis of rainfall records for long period provides information about rainfall pattern and variability. The long term monthly rainfall data for the period 1958-2017 (60 years) was studied. And also rainfall studies are the utmost utility for understanding the nature and behaviour of climate change. In this study, trends in rainfall, maximum rainfall intensity and rainy day for 1958-2017 were examined. Long term data analysed for 60 years (1958-2017) annual data suggest that there is a significant change in rainfall over the last decade. It observed that total mean rainfall June to October but in by 50.04mm last 60 years and annual rainy days decreased by 0.017 mm per year. From the average monthly rainfall analysis, it is observed that rainfall variation for first 20 years (1958-1978) and second 20 years (1979-1999) are similar rainfall pattern whereas it differs for last decade (2000-2017) because of the change in magnitude however the overall trend is similar. Average monthly rainfall analysis indicates there is maximum rainfall in the month of June and minimum rainfall in the month of October.

scholarly journals Pemetaan Curah Hujan Dalam Upaya Mengurangi Resiko Bencana Hidrometeorologi Dengan Sistem Informasi Geografis (SIG) Untuk Wilayah Kalimantan Utara

2020 ◽  
Vol 3 (2) ◽  
pp. 129-142
Author(s):  
Rachel Zandra Singal ◽  
Noptri Jumario
Keyword(s):  
Monthly Rainfall ◽  
Rainfall Data ◽  
Maximum Rainfall ◽  
Rainfall Analysis ◽  
High Rainfall ◽  
The North ◽  
Spatial Analyst ◽  
Average Monthly Rainfall ◽  
Rainfall Map ◽  
Source Of Information

North Kalimantan is one of the regions in Indonesia which is prone to hydrometeorological disasters. The purpose of this study was to determine the rainfall analysis of the North Kalimantan Region as a basis in finding rainfall levels in areas that do not have climatological stations, knowing the rainfall maps of the North Kalimantan Region and knowing the conditions of high rainfall causing flood prone in the North Kalimantan region. Rainfall data collection locations are climatology stations Tanjung Harapan, Juwata, Tuvai Semaring, Kalimarau and R.A. Bessing. Rainfall data is taken from OGIMET for 10 years. The result of rainfall analysis is the average monthly rainfall, which is from January to December. The method used to determine the monthly rainfall value in the North Kalimantan region is the Spatial Analyst Interpolation -Kriging method. The results are in the form of monthly rainfall maps, from January to December. Monthly rainfall map is a source of information on the value of rainfall in the region in North Kalimantan. Maximum rainfall is found in the areas of Tanjung Selor and Tarakan, namely January 313,368 mm, May 366,238 mm, July 358,868 mm and December 324,513 mm. Map of monthly rainfall in January, May, July and December is a parameter to see the condition of high rainfall causing hydrometeorological disasters. Through this research it is expected to anticipate the risk of disasters caused by the weather.

scholarly journals EFFECTIVENESS OF SILO PREPARATION OF LUPIN, FORAGE CROPS AND THEIR MIXTURES

2019 ◽  
Author(s):  
Александр Сорокин ◽  
Alexander Sorokin ◽  
Елена Исаева ◽  
Elena Isaeva ◽  
Валентина Руцкая ◽  
...  
Keyword(s):  
Nutritional Value ◽  
Sowing Date ◽  
White Lupin ◽  
Annual Data ◽  
Forage Crops ◽  
Sudan Grass ◽  
Feed Cost ◽  
Mixed Crops ◽  
Term Data

Average long-term data of yield, dry matter and row protein content, nutritional value of silage samples made of green mass of single and mixed crops of narrow-leafed lupin BL -78-07, oat (var. Pamyati Bulavina), payza (var. Krasava), Sudan grass (var. Kinel-skaya 100) of different seeding rates are given. Annual data of silo description made of white lupin var. Alyi parus and Sudan grass var. Kinelskaya 100 of single and mixed crops of two sowing date are given too. The feed cost was determined based on calculation of total costs made from technological maps of single and mixed crops cultivation and silo laying under production conditions.

Variability and Trend Analysis of the Rainfall of the Past 119 (1901-2019) Years using Statistical Techniques: A Case Study of Uttar Dinajpur, India

2021 ◽  
Vol 7 (2) ◽  
pp. 49-61
Author(s):  
Ajit Sarkar ◽  
Sunil Saha ◽  
Debabrata Sarkar ◽  
Prolay Mondal
Keyword(s):  
Monsoon Season ◽  
Winter Season ◽  
Monthly Rainfall ◽  
Statistical Techniques ◽  
Study Region ◽  
Maximum Rainfall ◽  
Sen’S Slope ◽  
Average Monthly Rainfall ◽  
June July ◽  
The Impact

The present study aims to identify and measure the impact of climate change on rainfall patterns in the Uttar Dinajpur district of West Bengal. The hydro-meteorological time series rainfall data was collected from the IMD and CHRS data portals and subsequently analysed using various statistical methods. Agriculture in this district is the main economic activity, but the rainfall propensity is very unpredictable and sporadic that has a significant impact on agriculture. The rainfall results (1901-2019) were examined and assessed using statistical techniques for Mann-Kendall’s Z-statistic and Sen’s slope estimators. From the estimation, it is understood that the pre-monsoon, monsoon, and winter seasons have positive trends in rainfall, whereas the post-monsoon rainfall shows a negative trend and both Mann-Kendall and Sen’s slope projections depict the same. Likewise, January, February, April, May, June, July, August, and December reflect upward positive change, while a downward trend (decline trend) was recorded in March, September, and October. The winter Kharif crops are more impacted by this negative or decreasing pattern of seasonal rainfall than other crops. The maximum average monthly rainfall in July (892.1 mm) and January showed the lowest average monthly rainfall of 63.3 mm. The results revealed that during the monsoon season the maximum rainfall (75.2%) occurred and the coefficient of variance value is 20.4%. In the winter season, the minimal rainfall (2.87%) with a coefficient of variance (CV) is 72.9%. The rainfall forecast using SMOreg and linear regression methods has been calculated. This research contributes greatly to adopting different strategies by the planners, researchers, numerous government institutions, and NGOs for the overall development of the study area. This study may also be effective in the management of water resources in the study region.

Monthly Rainfall Analysis in West Part of Chongqing

2014 ◽  
Vol 580-583 ◽  
pp. 2019-2022
Author(s):  
Lin Qin ◽  
Jun Ying Jin ◽  
Qian Zhang ◽  
Da Ke Wang
Keyword(s):  
Large Scale ◽  
Global Scale ◽  
Monthly Rainfall ◽  
Statistical Characteristics ◽  
The West ◽  
Rainfall Distribution ◽  
Rainfall Analysis ◽  
Complex Interactions ◽  
West Part ◽  
Average Monthly Rainfall

Rainfall information is critical in understanding the hydrologic balance on a global scale and the complex interactions among the small-and large-scale components within the hydrologic cycle [1]. In this study, the monthly rainfall data from 1976 to 2006 at the stations of Rongchang, Dazu, Tongliang and Yongchuan were used to analyze the statistical characteristics and trends of rainfall changes in the west of Chongqing. The average monthly rainfall at Rongchang, Dazu, Tongliang and Yongchuan were 89.4mm, 83.5mm, 88.3mm and 84.8mm in thirty years. The probability distribution of rainfall is a normal distribution. Moreover, the histogram of frequencies showed a clear tendency toward a obvious seasonality of the rainfall distribution [2].

Hydrogeological responses in tropical mountainous springs

2019 ◽  
Author(s):  
Ricardo Sánchez-Murillo
Keyword(s):  
Costa Rica ◽  
Isotope Composition ◽  
Central Valley ◽  
Distribution Functions ◽  
Geochemical Composition ◽  
Transit Times ◽  
Management Plans ◽  
Best Fit ◽  
Term Data

This study presents a hydrogeochemical analysis of spring responses (2013-2017) in the tropical mountainous region of the Central Valley of Costa Rica. The isotopic distribution of δ18O and δ2H in rainfall resulted in a highly significant meteoric water line: δ2H = 7.93×δ18O + 10.37 (r2=0.97). Rainfall isotope composition exhibited a strong dependent seasonality. The isotopic variation (δ18O) of two springs within the Barva aquifer was simulated using the FlowPC program to determine mean transit times (MTTs). Exponential-piston and dispersion distribution functions provided the best-fit to the observed isotopic composition at Flores and Sacramento springs, respectively. MTTs corresponded to 1.23±0.03 (Sacramento) and 1.42±0.04 (Flores) years. The greater MTT was represented by a homogeneous geochemical composition at Flores, whereas the smaller MTT at Sacramento is reflected in a more variable geochemical response. The results may be used to enhance modelling efforts in central Costa Rica, whereby scarcity of long-term data limits water resources management plans.

Morphometric studies of artemia males from different populations of the Altai region

2020 ◽  
pp. 28-38
Author(s):  
L. Vesnina ◽  
G. Lukerina ◽  
T. Ronzhina ◽  
A. Savos’kin ◽  
D. Surkov
Keyword(s):  
Sexual Dimorphism ◽  
Hydrogen Index ◽  
Morphometric Parameters ◽  
Altai Region ◽  
Sexual Structure ◽  
Different Populations ◽  
Artemia Population ◽  
Term Data ◽  
Brine Salinity

The long-term data from morphometric studies of Artemia males from bisexual and parthenogenetic populations from hyperhaline reservoirs of the Altai region (Bolshoe Yarovoe Lake, Maloe Shklo Lake, and the Tanatar Lakes system) is analyzed in this paper. The description of signs of sexual dimorphism and sexual structure in different populations is given. The influence of brine salinity and hydrogen index on morphometric parameters of males was analyzed. There are differences in the sexual structure of the Artemia population: in the lakes Maloe Shklo and the thanatar system, the populations are bisexual (the share of males is 28.5 — 75.0 %), in the lake Bolshoe yarovoe — parthenogenetic (the share of males on average does not exceed 3 %). At the same time, sexual dimorphism is typical for both types of populations: females are larger than males, males have a larger head (the distance between the eyes is greater by 15.5 %, the diameter of the eye is 26.1 %, the length of the antenna is 22.3 %) and a larger number of bristles (36.1 %). The greatest variability is observed in the parameters of the Furka structure associated with the salinity of water by feedback and the pH — line indicator. Significant differences between the samples of males were revealed. The largest number of significant differences in morphometric indicators was found between samples of males from bisexual populations (lake thanatar and lake Maloe Shklo), the smallest — between males from the parthenogenetic population of lake Bolshoe yarovoe and males from lake Maloe Shklo.

Diel, lunar and seasonal vertical migration in the deep western Gulf of Mexico evidenced from a long-term data series of acoustic backscatter

2021 ◽  
pp. 102562
Author(s):  
Laura Ursella ◽  
Sara Pensieri ◽  
Enric Pallàs-Sanz ◽  
Sharon Z. Herzka ◽  
Roberto Bozzano ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Vertical Migration ◽  
Acoustic Backscatter ◽  
Data Series ◽  
Term Data

scholarly journals Chances and challenges of a long-term data repository in multiple sclerosis: 20th birthday of the German MS registry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lisa-Marie Ohle ◽  
David Ellenberger ◽  
Peter Flachenecker ◽  
Tim Friede ◽  
Judith Haas ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Sociodemographic Factors ◽  
Healthcare Research ◽  
Structure Design ◽  
Data Repository ◽  
Research Projects ◽  
Real World Data ◽  
Data Repositories ◽  
Term Data

AbstractIn 2001, the German Multiple Sclerosis Society, facing lack of data, founded the German MS Registry (GMSR) as a long-term data repository for MS healthcare research. By the establishment of a network of participating neurological centres of different healthcare sectors across Germany, GMSR provides observational real-world data on long-term disease progression, sociodemographic factors, treatment and the healthcare status of people with MS. This paper aims to illustrate the framework of the GMSR. Structure, design and data quality processes as well as collaborations of the GMSR are presented. The registry’s dataset, status and results are discussed. As of 08 January 2021, 187 centres from different healthcare sectors participate in the GMSR. Following its infrastructure and dataset specification upgrades in 2014, more than 196,000 visits have been recorded relating to more than 33,000 persons with MS (PwMS). The GMSR enables monitoring of PwMS in Germany, supports scientific research projects, and collaborates with national and international MS data repositories and initiatives. With its recent pharmacovigilance extension, it aligns with EMA recommendations and helps to ensure early detection of therapy-related safety signals.

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