Browsing by Author "IBRAHIM KHALEEL"
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ThesisItem Open Access DEVELOPMENT OF INFORMATION SYSTEM FOR APPRAISAL OF WATERSHED MANAGEMENT(UNIVERSITY OF AGRICULTURAL SCIENCES, RAICHUR, 2011-09-30) IBRAHIM KHALEEL; DR. U. SATISH KUMAR, DR. SATYANARAYANA RAOThe Knowledge Information System (KIS) is windows based interactive software developed in Visual Studio. The software components are watershed concept, watershed planning, watershed conservation, watershed development, watershed management and hydrological numerical solver. The watershed concept, planning, conservation, development and management comprises with quality information in text, photos, videos, animations etc. hyperlinked with main topic to topic, subtopic to subtopic and word to word. The hydrological numerical solver deals with execution of hydrological parameters namely precipitation and runoff. The precipitation assessment was carried out by average depth of rainfall over an area which includes average arithmetic mean method, thiessen method and Isohyetal method and Calculation of return period of rainfall is carried out by weibull method. The runoff analysis was carried out by rational method. The direct runoff hydrograph is also plotted in hydrological numerical solver. The special features of KIS are quality information with photos, videos, standard tables; charts etc were hyperlinked with each other. After the KIS development, it was tested for Raichur watershed. The data of raingauge stations of Raichur taluk was used to analyse precipitation and runoff. The results computed by KIS matched with the manual calculations. The software is meant for agricultural engineers/water resource engineers in the line departments and planners, the KIS will also find its use with officials of the state agriculture/watershed departments, NGO’s and as a teaching aid in educational institutions etc.ThesisItem Open Access OPTIMAL PLANNING FOR SUSTAINED DEVELOPMENT OF LAND AND WATER RESOURCES UNDER WATERSHED CONCEPT(UNIVERSITY OF AGRICULTURAL SCIENCES, RAICHUR, 2017-06-30) IBRAHIM KHALEEL; DR. U. SATISH KUMAR, DR. B. S. POLISGOWDAR, Dr. U. K. SHANWADIn case of the semi arid agro climatic conditions, there is need to enhance the land and water productivity sustaining spatially and temporally distributed rainfall quantity and its erosive effects. The primary objective of the work was to develop a spatial decision support system for optimal hydrological planning of land and water resources relating the variable characteristics of land use, soil and rainfall. The conceptual decision and flow logic was formulated to link this information through MMF model and transformed into computer model using python programming language. The QSCOT was developed with PyQt graphical user interface (GUI) capability and integrated with QGIS which is open source software and available for all users across the world as “QGIS plugin” repository. It provided the user with an effective interactive environment to select or enter the input variables and to get output data on runoff and soil loss rate at any stream node. Moreover, SDSS-QSCOT contains many features including “suggesting suitable soil conservation and water harvesting measures for arable and non arable lands”, “estimating excess runoff”, “displaying conservation measures spatially with set of icons as a vector layer”, which would enhance its efficacy in effective-interactive communication method for better comprehension. The total runoff measured at the watershed scale (at outlet) was 108.15 mm whereas predicted runoff by SDSS-QSCOT for the study area was 94.07 mm. The observed data for annual soil loss at the outlet was 1.8 t ha-1 y-1 whereas predicted weighted average soil loss rate by SDSS-QSCOT for the study area at the outlet was 1.5 t ha-1 y-1. The MMF model estimates annual runoff and soil loss rate to acceptable limits. The similarities between the annual measured and model simulated values at outlet were with 85 - 89 per cent accuracy. QSCOT helps to visualize estimated runoff volume and soil loss rate in compatible and user friendly formats keeping with the best for user convenience. Key words: SDSS, semi arid regions, runoff, soil loss, MMF model, QGIS and QSCOT