scholarly journals Fourier analysis of weekly soil moisture at Pune

MAUSAM ◽  
2022 ◽  
Vol 45 (1) ◽  
pp. 29-34
Author(s):  
R. P. SAMUI
Keyword(s):  
Soil Moisture ◽  
Fourier Analysis ◽  
Northeast Monsoon

The wee!..l) soil moistu re data collected at Centra l Agromcl Observat ory ICA ~ M O J . PuucJuril1~ 19 5 K·P~ S9 have been subjccctcd to Fo urie r analysis. With norm al dat a the amplit udc~ For Varillll'i dc pl h ~'"U)' between 0 .76 In I . 1.2 em of wate r Iu r first harmonic and decrease sha rply \\ ith h igher order harmonic...l he •...rlucs for fourth harm onic range from 0 .0 3 to 0 ,07 em of water o nly. UUY, C\W, the highest amplit ude forthe calendar vcars 19t'4. 19S5. IIJH7 and 19S9 i'i fou nd 10 va ry between 0 . 45 10 1. .15 ern of wat er irrespective Ill'-oi l dep ths. Under normal co ndit io n.. the ma ximu m so il moistu re nca r the soi l surface 0 .5 em dep th ! occurson 15 September while at 30 em depth. the soil moi st ure ma vim um occurs on 2-4 September. a dcluy of 9 da) s.1:, lf th e four soil dep ths co nsidered in thi s study. the first . second and third har mo nics rc pr c-sent rc..pc...Iivc 1,\~.46. 2-32 .\ 4-26 & 67-S6. 6-t 4 a r-d 1 · 6 ~,~ of total var iance res pecti ve ly for eac h of th e years 19S-4. 19S5.IIJg7 a nd t9~9 and normal dura. The cha nge in 'oil mUI..ture pattern after J une and October due In occ urrence(If southwe...t and northeast monsoon i~ wctl ref lected .

scholarly journals Soil moisture index estimation from landsat 8 images for prediction and monitoring landslide occurrences in Ulu Kelang, Selangor, Malaysia

2021 ◽  
Vol 11 (3) ◽  
pp. 2101
Author(s):  
Noraisyah Tajudin ◽  
Norsuzila Ya'acob ◽  
Darmawaty Mohd Ali ◽  
Nor Aizam Adnan
Keyword(s):  
Soil Moisture ◽  
Land Surface ◽  
Large Scale ◽  
Vegetation Index ◽  
Landsat 8 ◽  
Northeast Monsoon ◽  
Contributing Factors ◽  
Moisture Index ◽  
Rainfall Distribution ◽  
Rainfall Analysis

Soil moisture is one of the contributing factors that accelerates soil erosion and landslide events due to the increase in pore pressure which eventually reduces the soil strength. For landslide prediction and monitoring purposes, large-scale measurement involves estimating the soil moisture. However, estimation of soil moisture usually involves point-based measurements at a particular site and time, which is difficult to capture the spatial and temporal soil moisture dynamics. This paper presents the estimation of the SMI using Landsat 8 images for prediction and monitoring of landslide events in Ulu Kelang, Selangor. The selected SMI map for dry, moist, and wet seasons are obtained from climatology rainfall analysis over 20-year periods (1998-2017). SMI is assessed based on remote sensing data which are land surface temperature (LST) and normalized difference vegetation index (NDVI) using GIS software. Overall results indicated that rainfall distribution is high during inter-monsoon (IM), followed by northeast monsoon (NEM) and southwest monsoon (SWM) season. High rainfall distribution is a direct contributor towards SMI condition. Results from simulation show that April 2017 is known to have the highest SMI estimation season and selected to be the best SMI mapping parameter to be applied for prediction and monitoring of landslide events.

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

FOURIER ANALYSIS OF HYSTERETIC DAMPING MECHANISMS

1985 ◽  
Vol 46 (C10) ◽  
pp. C10-171-C10-173 ◽  
Author(s):  
D. N. BESHERS ◽  
V. F. CORONEL
Keyword(s):  
Fourier Analysis ◽  
Hysteretic Damping

PROTOTIPE APLIKASI PENYIRAMAN TANAMAN MENGGUNAKAN SENSOR KELEMBABAN TANAH BERBASIS MICRO CONTOLLER ATMEGA 328

2019 ◽  
Vol 5 (1) ◽  
pp. 97-106
Author(s):  
Rudi Budi Agung ◽  
Muhammad Nur ◽  
Didi Sukayadi
Keyword(s):  
Soil Moisture ◽  
Growth And Development ◽  
Large Scale ◽  
Simple Method ◽  
Moisture Sensor ◽  
Sensor Development ◽  
Soil Moisture Sensor ◽  
Application Systems ◽  
Harvesting Systems ◽  
Working Principle

The Indonesian country which is famous for its tropical climate has now experienced a shift in two seasons (dry season and rainy season). This has an impact on cropping and harvesting systems among farmers. In large scale this is very influential considering that farmers in Indonesia are stilldependent on rainfall which results in soil moisture. Some types of plants that are very dependent on soil moisture will greatly require rainfall or water for growth and development. Through this research, researchers tried to make a prototype application for watering plants using ATMEGA328 microcontroller based soil moisture sensor. Development of application systems using the prototype method as a simple method which is the first step and can be developed again for large scale. The working principle of this prototype is simply that when soil moisture reaches a certainthreshold (above 56%) then the system will work by activating the watering system, if it is below 56% the system does not work or in other words soil moisture is considered sufficient for certain plant needs.

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