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Geomorphological Studies of the Sedimentary Cuddapah Basin, Andhra Pradesh, South India
SSRG International Journal of Geoinformatics and Geological Science (SSRG-IJGGS) – Volume 7 Issue 2 – May – Aug 2020 Geomorphological studies of the Sedimentary Cuddapah Basin, Andhra Pradesh, South India Maheswararao. R1, Srinivasa Gowd. S1*, Harish Vijay. G1, Krupavathi. C1, Pradeep Kumar. B1 Dept. of Geology, Yogi Vemana University, Kadapa-516005, Andhra Pradesh, India Abstract: The crescent shaped Cuddapah basin located Annamalai Surface - at an altitude of over 8000’ (2424 mainly in the southern part of Andhra Pradesh and a m), ii. Ootacamund Surface – at 6500’-7500’ (1969- little in the Telangana State is one of the Purana 2272 m) on the west and at 3500’ (1060m) on the east basins. Extensive work was carried out on the as noticed in Tirumala hills, iii. Karnataka Surface - stratigraphy of the basin, but there is very little 2700’-3000’ (Vaidynathan, 1964). 2700-3300 reference (Vaidynathan,1964) on the geomorphology of (Subramanian, 1973) 2400-3000 (Radhakrishna, 1976), the basin. Hence, an attempt is made to present the iv. Hyderabad Surface – at 1600’ – 2000’v. Coastal geomorphology of the unique basin. The Major Surface – well developed east of the basin.vi. Fossil Geomorphic units correspond to geological units. The surface: The unconformity between the sediments of the important Physiographic units of the Cuddapah basin Cuddapah basin and the granitic basement is similar to are Palakonda hill range, Seshachalam hill range, ‘Fossil Surface’. Gandikota hill range, Velikonda hill range, Nagari hills, Pullampet valley and Kundair valley. In the Cuddapah Basin there are two major river systems Key words: Topography, Land forms, Denudational, namely, the Penna river system and the Krishna river Pediment zone, Fluvial. -
Government of Telangana Rural Water Supply
GOVERNMENT OF TELANGANA MISSION BHAGIRATHA DEPARTMENT Foundation laid by Hon’ble CM at Choutuppal Hon’ble PM commissioned Gajwel scheme on 08.06.2015 on 07.08.2016 Road Map to Implementation of Jal Jeevan Mission “Presentation on MISSION BHAGIRATHA in Webinar” 07-08-2020 MISSION ➢To provide 100 lpcd of treated drinking water through functional household tap connection in rural habitations of Telangana. ➢ To provide bulk water supply to all Urban Local Bodies, to enable them to supply @135 lpcd in Municipalities and @150 lpcd in Municipal Corporations. ➢ To meet the needs of the Industry and provide them with raw/treated water as required (10% of the overall demand is committed for this purpose). Mission Bhagiratha Salient Features ➢ Project Geographical Area : 1.11 lakh sqkm ➢ Coverage Rural Habitations : 23,968 (Outside ORR) ULBs : 120 (66 Old + 54 New) ➢ Population in lakhs : 272.36 (2011) Rural : 206.58 Urban : 65.78 ➢ Sources : Krishna & Godavari rivers and their tributaries and reservoirs. ➢ Water requirement - 2018 : 59.94 TMC ➢ Water requirement - 2048 : 86.11 TMC Krishna Basin : 32.43 TMC Godavari Basin : 53.68 TMC ➢ Project Outlay : Rs 46,123.36 Cr 3 PRINICIPLE OF DESIGN • It is an end-to-end design solution, planned to meet all requirements up to 2048. • It relies on treating surface water from major rivers, Godavari (53 tmc) and Krishna (32 tmc). – For all the surface water bodies a reserve is maintained for drinking water purpose, by fixing MINIMUM DRAW DOWN LEVELS (MDDL) and monitored regularly. • The fundamental principle inbuilt into its design, is that water is to be conveyed by gravity(98%), reducing the capex & maintenance cost to lift pumps. -
Andhra Pradesh Integrated Irrigation and Agriculture Transformation Project (APIIATP) Public Disclosure Authorized Environment and Social Management
Public Disclosure Authorized Andhra Pradesh Integrated Irrigation and Agriculture Transformation Project (APIIATP) Public Disclosure Authorized Environment and Social Management Framework – Volume 1 March 2018 Public Disclosure Authorized State Project Director APIIATP Water Resources Department Vijayawada 520003 Public Disclosure Authorized Andhra Pradesh APIIATP: Environment and Social Management Framework Andhra Pradesh Integrated Irrigation and Agriculture Transformation Project (APIIATP) Environment and Social Management Framework – Volume 1 March 2018 Sutra Consulting Pvt. Ltd. ii | P a g e APIIATP: Environment and Social Management Framework ACKNOWLEDGEMENTS Sutra Consulting is thankful to the Water Resource Department, Government of Andhra Pradesh for providing us the opportunity to undertake this important assignment. I convey my sincere gratitude to Dr. P.S. Raghavaiah, IFS, Special Commissioner, CADA for his guidance and support to the project team. I wish to thank Smt. Y.V. Rajarajeswari, Superintending Engineer for her immense support and cooperation. The Joint Director, Agriculture, Executive Engineer, Dy. Executive Engineer, Asst. Executive Engineers, Asst. Director of Agriculture, Chief Engineer, Minor Irrigation and Dy. Executive Engineer, MI, CADA have provided unfailing support and I thank them for the same. I would also convey my sincere thanks to all the PMU Experts for supporting the project team at various stages of the assignment. I wish to thank the World Bank Mission members comprising of Messrs./Mmes. Ranjan -
Dam Inflow Prediction by Using Artificial Neural Network Reservoir Computing
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-2, December, 2019 Dam Inflow Prediction by using Artificial Neural Network Reservoir Computing B. Pradeepakumari, Kota Srinivasu Abstract; A multipurpose dam serves multiple modalities like A practical approach for water management is agriculture, hydropower, industry, daily usage. Generally dam presented with case study in work [2]. On the other hand water level and inflow are changing throughout the year. So, [3,4] has highlighted importance of inflow predictions for multipurpose dams require effective water management strategies water management. Classical rainfall and runoff models in place for efficient utilization of water. Discrepancy in water exist, such as empirical, conceptual, physically, and data- management may lead to significant socio-economic losses and may have effect on agriculture patterns in surrounding areas. driven [5,6]. Data-driven models in different fields of water Inflow is one of the dynamic driving factors in water resources with [7,8,9] can be modeled effectively for water management. So accurate inflow forecasting is necessary for management. At the same time, researchers have realized effective water management. complex nature of relationship between rainfall and runoff For inflow forecasting various methods are used by researchers. so various complex models are introduced like fuzzy logic Among them Auto Regressive Integrated Moving Average [10], support vector regression [11], and Artificial Neural (ARIMA) and Artificial Neural Network (ANN) techniques are Networks (ANN) [6,12]. Neural networks have been widely most popular. Both of these techniques have shown significant applied as an effective method for modeling highly contribution in various domains in regards to forecasting. -
Remote Sensing and GIS in the Morphometric Analysis Of
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 02 | Feb-2016 www.irjet.net p-ISSN: 2395-0072 Remote sensing and GIS in the morphometric analysis of macro- watersheds for hydrological Scenario assessment and characterization - A study on Penna river sub-basin, SPSR Nellore district, India. N.Harish1, P. Siva Kumar2, M. Siva Raja3 , V. Lokesh4, M.V. Gopi Santosh Reddy5, Sk. Shalisad6, S. Sazid7 1Assistant Professor, Department of Civil Engineering, NBKRIST, Nellore, India-524413 2,3,4,5,6,7 UG-students, NBKRIST, Nellore, India-524413 ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – Hydrological assessment and characterization of methods to quantify the land exteriors (Singh, 1992; and Dar the macro-watersheds of Pennar river sub-basin is et al. 2013). Consequently, the process is responsible for a done through the analysis and evaluation of various drainage holistic understanding of hydrologic behavior of a and topographic parameters. The morphometric approach watershed. Similarly, some of the morphometric parameters, involving the analysis of Digital elevation model has largely like, circularity ratio and bifurcation ratio are input helped in the logical assessment of hydrological character of parameters in the hydrological analysis (Jain, 2000 and the basin. The analysis of various linear and areal aspects has Esper, 2008) and evaluation of surface water potentiality of revealed that the topographical configuration and an area (Suresh, 2004). A more realistic approach of geomorphic setting of the basin has assumed a dendritic drainage morphometric analysis is employed by using the drainage pattern with 5th order drainage. Consequently, the drainage network extracted from the Digital Elevation Model study helped in the identification and mapping the potentiality (DEM) as suggested by Callaghan, 1984 and Bhat, 2009. -
Not Applicable for IOC/HPC
APPOINTMENT OF RETAIL OUTLET DEALERSHIPS IN AP BY IOC Location Sl. Name Of Location Revenue District Type of RO Estimated Category Type of Site Minimum Minimum Minimum Estimated Estimated Mode of Fixed Fee / Security No. (Not (Regular/Rur monthly (CC/DC/CFS) Frontage of Depth of Site Area of site working fund selection Min bid Deposit ( Rs applicable al) Sales Site (in M) (in M) (in Sq. M.). capital required for (Draw of amount ( Rs in Lakhs) for IOC/HPC) Potential requirement developmen Lots/Bidding in Lakhs) (MS+HSD) in for t of ) Kls operation of infrastructur RO (Rs in e at RO (Rs Lakhs) in Lakhs ) DRAW OF 1 BUKKAPATNAM VILLAGE & MANDAL ANANTAPUR Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS DRAW OF 2 GOTLUR VILLAGE, DHARMAVARAM MANDAL ANANTAPUR Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS DRAW OF 3 VAYALPADU (NOT ON NH - SH), VAYALAPADU MANDAL CHITTOOR Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS THONDAVADA VILLAGE (NOT ON NH/SH), CHANDRAGIRI DRAW OF 4 CHITTOOR Rural 48 SC CFS 20 20 400 0 0 0 2 MANDAL LOTS DRAW OF 5 DODDIPALLE (NOT ON NH/SH), PILERU MANDAL CHITTOOR Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS NARAYANA NELLORE VILLAGE (NOT ON SH/NH) NANDALUR DRAW OF 6 KADAPA Rural 48 SC CFS 20 20 400 0 0 0 2 MANDAL LOTS DRAW OF 7 ARAKATAVEMULA NOT ON SH/NH , RAJUPALEM MANDAL KADAPA Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS DRAW OF 8 GUTTURU VILLAGE, PENUKONDA MANDAL ANANTAPUR Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS DRAW OF 9 MADDALACHERUVU VILLAGE, KANAGANAPALLE MANDAL ANANTAPUR Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS DRAW OF 10 KALICHERLA (NOT ON NH/SH), PEDDAMANDYAM MANDAL CHITTOOR Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS CHINNACHEPALLE, NOT ON SH/ NH, KAMALAPURAM DRAW OF 11 KADAPA Rural 48 SC CFS 20 20 400 0 0 0 2 MANDAL LOTS DRAW OF 12 GUDIPADU NOT ON SH/NH, DUVVUR MANDAL KADAPA Rural 48 SC CFS 20 20 400 0 0 0 2 LOTS BUGGANIPALLE VILLAGE NOT ON NH/SH, BETHAMCHERLA DRAW OF 13 KURNOOL Rural 48 SC CFS 20 20 400 0 0 0 2 MANDAL LOTS DRAW OF 14 GOVINDPALLE VILLAGE NOT ON NH/SH, SIRVEL MANDAL KURNOOL Rural 48 ST CFS 20 20 400 0 0 0 2 LOTS DRAW OF 15 POLAKAL VILLAGE NOT ON NH/SH, C . -
6. Water Quality ------61 6.1 Surface Water Quality Observations ------61 6.2 Ground Water Quality Observations ------62 7
Version 2.0 Krishna Basin Preface Optimal management of water resources is the necessity of time in the wake of development and growing need of population of India. The National Water Policy of India (2002) recognizes that development and management of water resources need to be governed by national perspectives in order to develop and conserve the scarce water resources in an integrated and environmentally sound basis. The policy emphasizes the need for effective management of water resources by intensifying research efforts in use of remote sensing technology and developing an information system. In this reference a Memorandum of Understanding (MoU) was signed on December 3, 2008 between the Central Water Commission (CWC) and National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO) to execute the project “Generation of Database and Implementation of Web enabled Water resources Information System in the Country” short named as India-WRIS WebGIS. India-WRIS WebGIS has been developed and is in public domain since December 2010 (www.india- wris.nrsc.gov.in). It provides a ‘Single Window solution’ for all water resources data and information in a standardized national GIS framework and allow users to search, access, visualize, understand and analyze comprehensive and contextual water resources data and information for planning, development and Integrated Water Resources Management (IWRM). Basin is recognized as the ideal and practical unit of water resources management because it allows the holistic understanding of upstream-downstream hydrological interactions and solutions for management for all competing sectors of water demand. The practice of basin planning has developed due to the changing demands on river systems and the changing conditions of rivers by human interventions. -
Chapter 5 Water Resources and Hydrology
Chapter 5 Water Resources and Hydrology 5.1 General Planning for water resources development in a basin requires careful assessment of the available water resources and reasonable needs of the basin in foreseeable future for various purposes such as drinking, irrigation, hydro-power, industries, navigation etc. Hydrological studies are carried out to assess the available quantity of water in a given basin. This chapter deals with the assessment of water balance in the Krishna basin upto the Nagarjunasagar dam site, in the basins lying enroute the link alignment, in the Pennar basin upto the Somasila dam site and simulation study of Nagarjunasagar reservoir. 5.2 Hydrological analysis NWDA has prepared water balance study reports at Nagarjunasagar dam site on river Krishna, Somasila dam site on river Pennar and of the basins lying enroute the link alignment. The methodology adopted by NWDA for computing the water balance of a sub-basin is discussed in the following paragraphs: 5.2.1 Surface water availability Observed flow data at the terminal G&D site and the rainfall observed at various raingauge stations in and around the catchment of a sub-basin are collected. To the observed flows, year-wise upstream utilisations are added to get virgin yields. Weighted rainfall for the catchment upto the G&D site and for the whole sub-basin is worked out. Using these virgin flows and weighted rainfall upto the G&D site, a rainfall - runoff relationship (linear/non-linear) is developed by statistical methods. Using the best fit equation and weighted rainfall for the entire sub-basin, monsoon yields are computed. -
Central Water Commission
FOR OFFICIAL USE CENTRAL WATER COMMISSION WATER RESOURCES INFORMATION SYSTEM DIRECTORATE INFORMATION SYSTEM ORGANISATION Water Planning & Projects Wing January 2014 The Central Water Commission is regularly documenting water resources and related data in its publication entitled “Water and Related Statistics”. The present hand book namely, “Hand Book on Water & Related Information” gives details primarily on the progress of major and medium projects which are frequently required for day to day official use. CONTENTS TABLE NO. PAGE NO. 1 Land Use Classification and Irrigation Statistics by State, 2010-11 5 2 Rainfall in Different Meteorological Sub-Divisions of the country for 2012 6 3(A) Abstract of New Projects under Appraisal in CWC as on 01.01.2014 7 3(B) List of New Projects under Appraisal in CWC as on 01.01.2014 8 4 List of Projects Accepted By Advisory Committee of MoWR upto December 2013 21 5 List of Irrigation Projects Accepted By Planning Commission From December,2013 26 6(A) Number of Major, Medium and ERM Irrigation Projects by State 29 6(B) State-wise and Category - wise Details of Projects Reported Ongoing at the end of XI Five Year Plan for XII Plan Formulation 31 7 Achievements of Bharat Nirman on Irrigation Potential Creation including Minor Irrigation by State 46 8(A) Central Loan Assistance (CLA)/Grant Releases on Major, Medium, ERM Projects for the period 1996-97 To 2012-13 under AIBP 47 8(B) Project-wise Irrigation Potential Created (IPC) under AIBP 58 9 Details of Declared National Projects 66 10(A) Details of Ongoing -
Reuse of Irrigation Drainage Water in Gonchi Systems
Title: Reuse of irrigation drainage water from command areas: Learning from Traditional Gonchi channels in Andhra Pradesh, India Ramamohan Venkata Ramachandrula, Joint Director (Sustainable Livelihoods), Centre for World Solidarity (CWS), Hyderabad, India. Abstract Gonchi seepage channels in Anantapur district of Andhra Pradesh, India are traditional forms of diversion channels used by farmers to divert seepage water from streams and rivers to cultivate food crops. Each such Gonchi channel runs for about 3 to 7 km and typically each irrigates 200 to 300 acres. Farmers benefiting from these channels are traditionally organized into strong informal groups and local regulations on allocations and use are still in place in most of the villages. Paddy is the predominant crop cultivated in these areas during October to January period every year. A field study done on 37 such channels in Pennar river basin revealed that most of them are being maintained well by Gonchi committees but few require renovation works that are beyond the capacity of these committees. These channels once used freshwater from rains and seepage flows in streams and river Pennar. After the construction of Mid Pennar Reservoir (MPR) at Penakacherla in Anantapur district in 1968, these seepage channels got rejuvenated by increased inflow of irrigation drainage its command areas. Many seepage channels in Anantapur district may be renovated through systematic re-use of such drainage water from command areas of modern irrigation projects. Key words: Gonchi, Seepage channels, reuse of irrigation drainage 1. Introduction India has a diverse practice of traditional water conservation, storage, distribution and utilization methods evolved and practised traditionally for centuries. -
List of Dams in India: State Wise
ambitiousbaba.com Online Test Series List of Dams in India: State Wise State DAM and Location Rajasthan • RanapratapSagar Dam(Chambal River), at Rawatbhata • Mahi Bajaj Sagar Dam (Mahi River) at Banswara district • Bisalpur Dam (Banas River), At Tonk district • Srisailam Dam(Krishna River), at Kurnool Andhra Pradesh district • Somasila Dam (Penna River), at Nellore district • Prakasam Barrage (Krishna River), at Krishna and Guntur • Tatipudi Reservoir(River Gosthani ), at Tatipudi, Vizianagaram • Gandipalem Reservoir (River Penner) • Ramagundam dam (Godavari), in Karimnagar • Dummaguden Dam (river Godavari) Telangana • Nagarjuna Sagar Dam (Krishna river), at Nagarjuna Sagar Nalgonda • Sri Ram Sagar (River Godavari) • Nizam Sagar Dam (Manjira River) • Dindi Reservoir (River Krishna), at Dindi, Mahabubnagar town • Lower Manair Dam (Manair River) • Singur Dam (river Manjira) Bihar • Kohira Dam (Kohira River), at Kaimur district • Nagi Dam (Nagi River), in Jamui District Chhattisgarh • HasdeoBango Dam (Hasdeo River), at Korba district Gujarat • SardarSarovar Dam(Narmada river), at Navagam • Ukai Dam(Tapti River), at Ukai in Tapi district IBPS | SBI | RBI | SEBI | SIDBI | NABARD | SSC CGL | SSC CHSL | AND OTHER GOVERNMENT EXAMS 1 ambitiousbaba.com Online Test Series • Kadana Dam( Mahi River), at Panchmahal district • Karjan Reservoir (Karjan river), at Jitgadh village of Nanded Taluka, Dist. Narmada Himachal Pradesh • Bhakra Dam (Sutlej River) in Bilaspur • The Pong Dam (Beas River ) • The Chamera Dam (River Ravi) at Chamba district J & K -
Dams in Telangana State an Incredible Challenge Confronted In
Dams in Telangana State An Incredible Challenge Confronted in effectively managing the Probable Maximum flood Neelam Sanjeev Reddy Sagar Dam (NSRSP) Location - A Case Study. Presented By: P.Shalini, Assistant Executive Engineer, O/o The Chief Engineer, I&CAD Dept, Govt of Telangana. 1 CONTENTS Page No 1. Introduction 4 1.1 Dams In Telangana State 4 1.2 Projects under Godavari Basin 4 1.3 Projects under Krishna Basin 5 2. Neelam Sanjeev Reddy Sagar Dam 6 2.1 Challenge 6 2.2 The October 2009 Floods 7 3. Rainfall and Water Allocation 7 3.1 Projects on Krishna River 7 3.2 Drought Situation 7 3.3 Flood Situation 8 3.4 Probable Maximum Flood 8 3.5 The Nagarjunsagar Dam 8 3.6 The Prakasam Barrage 8 4. Rainfall Forecast 9 4.1 IMD forecast 9 4.2 CWC forecast 9 4.3 Real Time Monitoring of Flood and 9 Modelling 5. Reference to Course Material 14 6. Summary 15 7. Conclusion 15 2 List of Figures and Maps Page No Fig.1: Main Reservoirs on River Krishna 7 Fig.2: Nagarjun Sagar Dam 8 Fig.3: Prakasam Barrage 8 Fig.4: Max Water level at Srisailam 10 Fig.5: Innundated Power house at Srisailam dam 10 Fig.6: Srisailam dam and reservoir 11 Fig.7: Downstream view of Srisailam dam 11 Fig.8: An ariel view of the Srisailam dam with +896.50 feet at water level 11 Fig.9: Upstream side of Srisailam dam heavy inflows 11 Fig.10: Maximum outflow through spillway at Srisailam dam 11 Fig.11: A view of downstream of Srisailam dam during opening of all 12 gates 11 Fig.12: Map showing Inflows at Srisailam dam between September 30 13 to October 12,2009 Fig.13: Map showing Outflows at Srisailam dam between September 30 13 to October 12, 2009 Fig.14: Map showing gross capacity at Srisailam dam between September 30 13 to October 12, 2009 Fig.15: Possible Inundation Map of Srisailam Dam break 17 3 1.