Bharat mein 1990-1999 ke dauraan shushkata visangatiyon ka kshetreey avem saamayik vishleshan

Aridity Anomaly Index (AAI), based on Thornthwaite’s water balance technique, has been used to identify the extent and persistence of aridity anomalies over 33 sub-divisions of India during a period of 10 years from 1990 to 1999. Regional and temporal analysis has been carried out to identify the areas and periods of intense and prolonged persistence. This study has shown that 1992 was worst hit by the aridity conditions, which emerged in 5 or more fortnights. All sub-divisions of north India were affected by moderate aridity during 1990, 1992-94 and 1999. Similarly, all sub-divisions of peninsular India were influenced by moderate aridity during 1991, 1993 and 1999. Severe aridity appeared in all sub-divisions of peninsular India during 1990. The duration of severe aridity was less than that of moderate aridity during all years. Moderate and severe aridity appeared simultaneously in 5 or more fortnights in maximum 9 sub-divisions in 1992 and occurred during maximum 5 years in Madhya Maharashtra. Moderate aridity in 5 or more fortnights emerged each year during 1990 to 1999 in coastal Andhra Pradesh. In 1991, maximum 55% sub-divisions were affected by severe aridity in 9th fortnight, whereas Saurashtra & Kutch was affected in 1996 and north Interior Karnataka in 1999 during maximum 7 fortnights. In the year 1992, maximum number of sub-divisions under moderate and severe persistence was 70% and 24% respectively. In north India, moderate persistence appeared in east Rajasthan in all nine years except 1996, with its longest duration of 8 fortnights in 1995. West Madhya Pradesh, in peninsular India, was affected by moderate aridity during 7 fortnights in each year during the period of study from 1990 to 1999.

Initiatives and Responses to Migrant Workers during the Lockdown

This narrative describes an initiative of the National Service Scheme team at Andhra Loyola Institute of Engineering and Technology. It highlights initiatives to address the situation of migrant workers during the pandemic lockdown in the southern state of Andhra Pradesh in India. In the Krishna District of Andhra Pradesh, migrant laborers were forced to walk home, sometimes hundreds, even thousands of kilometers, to reunite with their families. It was hard to ignore these images, especially those who carried the elderly on their shoulders, and small children slumped over rolling suitcases. Most used any means of transport they found, even bicycles. Some succumbed to accidents and exposure to heat. In the midst of the lockdown, the NSS team quickly came together and planned an outreach/relief camp for migrants in Krishna District. It was chosen since many villagers were migrants and the lockdown had affected in multiple ways. The relief camp took place in the month of April, a time when temperatures soar in southern India. The students and the faculty members joined hands to reach out to the Migrants in the most despairing moments. The students commented that they saw their education from a different perspective, one that integrated curriculum and good citizenship for marginalized persons. One of the ways of infusing relevance into education is to embed it within meaningful service learning. This paper is an attempt to exhibit the Initiative and Responses to the Migrant workers during the Lockdown.

Validation of CERES-Rice v3.5 under the climate of Andhra Pradesh state, India

Crop growth simulation models, properly validated against experimental data have the potential for tactical and strategic decision making in agriculture. Such validated models can also take the information generated through site specific experiments and trials to other sites and years. For proper calibration and evaluation of crop simulation models, there is a need for collection of a comprehensive minimum set of data on soil, weather and crop management in all agronomic experiments. Keeping this in view, field experiments were conducted at Rajendranagar (17°19' N, 78°23' E; 542.3 m amsl) during 1994-97 for three popular varieties of rice viz. Sambamasuri, Rajavadlu and Tellahamsa under irrigated conditions and data collected. Genetic coefficients required for running the CERES-Rice v3.5 model were calculated and the performance of the model under the climate of the area was evaluated. The results of the study show that the model simulations of date of flowering for Sambamasuri, Rajavadlu and Tellahamsa were within an average error of 6.2, 5.7 and 6.7 days respectively. Similar errors in predictions of physiological maturity dates were 7.6, 6.7 and 7.2 days. The error in grain yield predictions by the model averaged at 7.9%, 8.3%, and 5.7% respectively for the three crop varieties. These results indicate that the CERES Rice v3.5 model is capable of prediction of grain yield and phenological development of the crop in the climatic conditions of Andhra Pradesh with reasonable accuracy and hence, the model have the potential for its use as a tool in making various strategic and tactical decisions related to agricultural planning in the state.

CONSIDERATION AND UTILIZE OF LIBRARY WEB RESOURCES BY FACULTY OF ENGINEERING COLLEGE IN EAST GODAVARI DISTRICT, ANDHRA PRADESH: A STUDY

Digital information resources are fetching more and more imperative for the academic community. The increase of technical colleges in Andhra Pradesh are quiet noteworthy and in advance of various states of India. Digital resources are measured as imperative resources of teaching, research and training. Consequently, digital resources play a important role in academic libraries as they are mostly jingle for the support of academic brilliancy and research. For these research questionnaires were distributed to the faculty members of 10 selected engineering colleges in East Godavari district of Andhra Pradesh. Accordingly, 400 questionnaire distributed amongst the faculty members of 10 engineering colleges. Out of 400, only 336 questionnaires were received back that is the overall response rate is 84%.. 27.98% of the faculties are utilize digital resources for bring up to date Knowledge. It is also found from the study that preponderance of the faculty members were satisfied with available digital resources.

Usages of Mobile Application Developed by Krishi Vigyan Kendra Banavasi

A survey was conducted to assess the impact of mobile applications developed by theKrishiVigyan Kendra Banavasi with 150 farmers in Kurnool district of Andhra Pradesh inthe year 2020. KVK Banavasi developed three mobile applications namely ANGRAU-ATARI CFLD, ANGRAU Pashu Poshan and Fertilizer Calculator for benefiting farmingcommunity. Majority (64.67%) of the respondents were found in medium usage of mobileapplications, in agriculture. Fertilizer Calculator mobile application was found highest usage(74.50%) among the farmers when compared with other two applications. ANGRAUATATRI CFLD application was used by an average of 46.83 per cent farmers forinformation on new improved varieties, 75 % for control measures of pest and diseasesand 29 per cent for market related information. ANGRAU Pashu Poshan application wasused by 75 per cent livestock farmers for sheep management, 56 per cent for cattlemanagement and 45 per cent for poultry related information. Fertilizer calculator applicationwas used by 80 per cent farmers for recommended dose of fertilizers and 10 per cent forsoil test based fertilizer application.

Analysis of Ocean-Atmospheric features associated with extreme temperature variation over east coast of India-A special emphasis to Orissa heat waves of 1998 and 2005

During the decade of 1998-2007, both Orissa and Andhra Pradesh at east Coast of India have been affected by heat waves more frequently and more severely causing very high damages to human lives. The most severe heat wave years for the region in the recent past are summer of 1998 over Orissa and 2003 over Andhra Pradesh when 2,042 and nearly 3054 people lost their lives respectively. In summer of 2005, though severe heat wave conditions were experienced for some days over Orissa and adjoining east coasts, the damages were not high as before. In view of such extreme temperature events have been regularly affected the region during the period where their normal frequency is low, analyses of their long period temperature data and study of their relationship with various regional and global ocean-atmospheric features are very much necessary, to find possible causes and then use them in forecasting. In the present study, an attempt has been made to analyze various temperature time series as available, varying from large domain to small domain, e.g., all India temperature, east coast of India temperature etc., to understand whether years which had recorded extreme temperatures in these larger domains have any relationship with that occurred over its very smaller domain, e.g., Orissa from station data, of which later is a part. To understand the relation between the magnitude of heat indices and loss to total human lives it caused during respective whole periods of heat waves, different heat indices, viz., general heat indices, Thom’s discomfort and Webb’s comfort indices have been computed during these extreme years over Orissa and Andhra Pradesh states and compared with total heat wave related human deaths over the respective states for the corresponding years. In addition to various heat indices, various Ocean-atmospheric characteristics, e.g., monthly SST over Bay of Bengal, day-to-day synoptic flow pattern, recurving Cyclonic Storms which strengthen low-level westerly and prohibit onset of Sea breeze over the coastal stations in the region causing persistent of heat waves, have also been critically analyzed both spatially and temporally to find role of these features in such occurrences. Their statistical lag correlations if any with ensuing temperature rise have been tested to explore the possibility of using them in forecasting these events much in advance.

THE CLUSTER ANALYSIS APPROACH FOR CLASSIFICATION OF ANDHRA PRADESH ON THE BASIS OF RAINFALL

The ave rage linkllBe method of cluster analys is was appl ied (or classifying the di stricts of AndhraPrad esh on th e b asis of monthly rainfall recorded. in diff ere nt sea so ns . The meth od of cluste ring h as the ad va nta geof least subjectivity in clu ster formati on unlike th at of the pri nci pa l components method. Th e a nalysis was ca rriedou t seasonwise on th e basis of 30 )~ ars of monthly rain fa ll data covering th e yea rs 1961-62 to 1~91. [I was foundthat the di stri cts ofAndh ra Prad esh ca n be classified iuto 5 10 7 d usters which depend on the seaso n. Ea st and WeslGod avari districts of coastal Andh ra region exh ib ited a similar pat tern in the rainfall of all the seasons: cert ain d istricts c f Telangan a region also exh ibi ted a simila r pan crn in rai nfall of all th e seasons excepting the 5Ou th~SI mensoon.In ce rtai n clu eters . there was 8 representetien u t'Ji.oJlril,,·u from all th e three ~ii ons of the Stale, Seesonwiseclust erings a re also di scu ssed .