Loading...
Thesis
Browse
7 results
Search Results
ThesisItem Open Access DEVELOPMENT OF GEOMORPHOLOGICAL INSTANTANEOUS UNIT HYDROGRAPH (GIUH) MODEL FOR AN UNGAUGED WATERSHED(COLLEGE OF AGRICULTURAL ENGINEERING AND TECHNOLOGY DR. BALASAHEB SAWANT KONKAN KRISHI VIDYAPEETH DAPOLI, 2022-12-28) Miss. Shinde Sayali Vitthal; Dr. H. N. Bhange; Dr .B.L Ayare, Er. . Patil S. T; M.H TharkarWater is precious natural resource and its availability is limited for agriculture and human use. Due to increase in population, the pressure on land and water is increased. The irrigated agriculture has potential to increase the yield by 2 to 3 times than the rain fed irrigation. The irrigated agriculture is done by surface water resources and ground surfaces. In surface irrigation system, the canal irrigation system is important in distribution of the water to the command area. In canal irrigation system the water loss during the conveyance losses and reduces the overall project efficiency; also the evaporation losses are higher in open channels. Therefore the major goal of the case study of water users association is to improve the performance of existing system by adopting micro irrigation system in command area. According to first objective, the existing cropping pattern were worked by conducting survey of farmers in head, middle and tail reach of minor - 5 of Shree Datta WUA Mirewadi during February 2022 to March 2022. Also the various performance indicators were worked out as per second objective of the project. As per third objective, the strategic planning was suggested for improving the water user’s association system performance. It study found that the existing gross returns were less by 1 to 4.8 times than the gross returns obtained from the recommended package of practices (RPP). The performance indicators showed that land and water were not the limitation in the Shree Datta Water Users Association Mirewadi. Based on the results it was observed that the water productivity of sugarcane was optimum but the sorghum and sapota gives poor result. The strategic plan of proposed design of micro - irrigation system for 80.91 ha area with 9 proposed crops and their entire area is divided into 5 zones. From the result, raising main of 508 mm (20 inch) and pump of 135 HP is required for the 80.91 ha micro - irrigation system. By adopting micro irrigation system the total area is possible to take under irrigation with a diversified cropping pattern. Therefore, because of lift cum micro irrigation system the proper maintaining of irrigation and fertigation scheduling is possible and results in increasing irrigation efficiency, cropping intensity and ultimately the yield, productivity and gross returns under proposed crops is increased than existing. Therefore it is suggested that, to improve the system performance of Shree Datta Water Users Association Mirewadi the micro irrigation system is important way to doubles the farmer’s incomeThesisItem Open Access PLANNING AND DESIGNING OF SOIL AND WATER CONSERVATION MEASURES FOR KUDAVALE MICRO- WATERSHED USING REMOTE SENSING AND GIS(COLLEGE OF AGRICULTURAL ENGINEERING AND TECHNOLOGY DR. BALASAHEB SAWANT KONKAN KRISHI VIDYAPEETH DAPOLI, 2021-01-27) MISS.KALE SUVARNA SUNIL; Dr. Ayare B. L.; Dr. Bhange H. N., Er. . Patil S. TABSTRACT “PLANNING AND DESIGN OF SOIL AND WATER CONSERVATION MEASURES FOR KUDAVALE MICRO-WATERSHED USING REMOTE SENSING AND GIS” By Suvarna Sunil Kale. Department of Soil and Water Conservation Engineering, College of Agriculture Engineering and Technology, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli Dist- Ratnagiri, Maharashtra 2021 Research Guide : Dr. B. L. Ayare Department : Soil and Water Conservation Engineering Soil and water are the basic essentials for survival of life on the earth. The prosperity of nation depends on the quality of its land resources. Remote sensing and Geographic Information System (GIS) have become easier and efficient tools in the watershed analysis and planning conservation measures. Therefore, the attempts were made for planning and designing of soil and water conservation measures for Kudavale micro-watershed using remote sensing and GIS. The watershed was delineated using digital elevation model in ArcGIS. The analysis of morphometric characteristics showed that there were 43 streams present in watershed having fourth order as the highest stream order. The values of form factor, elongation ratio and circulation ratio were found 0.42, 0.73 and 0.51 respectively. It indicated that shape of Kudavale watershed is ‘+’ type with N-S length slightly higher than E-W length. The study used SCS curve number method to estimate the runoff from the study area. It was necessary to quantify the land use land cover (LULC), hydrologic soil group (HSG), antecedent moisture condition (AMC) and curve number (CN) of the study area to design different soil and water conservation structures. The study found that there were 43 streams present in the watershed with order IV as the highest stream order. The study found that he area under agricultural land, forest land, barren land and residential area was 15.42 %, 59.90 %, 21.22 % and 3.4 %, respectively. It was also observed that the value of curve number for AMC I, II and III was 58.31, 69.68 and 84.36, respectively. The hydrologic soil group of the stud area showed that Group A, Group C and Group D types of soil was present in the watershed. The rainfall data of 30 years (1990-2019) was analysed to estimate runoff of watershed. The average runoff of watershed was found to be 1532.27 mm i.e. 41.15% of total rainfall. The present study was found useful for the hydrologic, hydraulic and structural design of cement nala bund, konkan vijay bandhara and farm pond. In addition it is useful for suitable sites selection of various soil and water conservation structures including cement nala bund (CNB), Konkan Vijay Bandhara (KVB) and farm ponds using Arc GIS 10.3 software. The selected sites were validated by ground truthing. Keywords: RS and GIS, LULC, AMC, Soil and water conservation structures, SCS CN.ThesisItem Open Access STUDY OF COMPARATIVE PERFORMANCE OF WEPP AND USLE MODEL FOR PREDICTION OF SOIL LOSS FROM KARLI RIVER CATCHMENT(COLLEGE OF AGRICULTURAL ENGINEERING AND TECHNOLOGY DR. BALASAHEB SAWANT KONKAN KRISHI VIDYAPEETH,DAPOLI, 2018-09-26) Mr. Bandgar Nitin Namdev; Dr. B.L.Ayare; Prof. dilip MAHALE, Dr. S. B. NandgudeABSTRACT "STUDY OF COMPARATIVE PERFORMANCE OF WEPP AND USLE MODEL FOR PREDICTION OF SOIL LOSS FROM KARLI RIVER CATCHMENT" By Nitin Namdev Bandgar Department of Soil and Water Conservation Engineering, College of Agriculture Engineering and Technology, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli Dist- Ratnagiri, Maharashtra 2018 Research Guide : Dr. B. L. Ayare Department : Soil and Water Conservation Engineering Soil erosion is a serious problem that seems from a combination of agricultural intensification, soil degradation and intense rainstorms. Erosion may also be exacerbated in the future in many parts of the world because of erotic climatic change results into more vigorous changes in hydrologic cycle. The different management theories, formulae, equations and models have been developed to predict the soil loss from the catchment. In recent decades, models have been built (empirical, conceptual, or physically based) in order to represent and to quantify the processes of detachment, transport, and deposition of eroded soil, with the aim of implementing assessment tools for educational, planning and legislative purposes . Among the different models being used to predict the soil loss along with other important parameters the Water Erosion Prediction Project (WEPP) and Universal Soil Loss Equation (USLE) model are being widely used for the purpose therefore the study, “Study of comparative performance of WEPP and USLE models for prediction of soil loss from Karli river catchment” was under taken to predict the soil loss. The present research work was conducted at Karli river catchment is located between the longitude 73.92 0 to 74.01 0 E and latitudes 16.04 0 to 16.10 0 N on the xviwestern coast of India in the southern part of Maharashtra state. The total geographical area of study location is 4247.12 ha. Data collected through Remote Sensing (RS) and Geographical Information System (GIS) was used in the study of land-use pattern and analysis relating the soil loss with loss of yield. With the help of RS and GIS data, Comparative performance of Water Erosion Prediction Project (WEPP) and Universal Soil Loss Equation (USLE) model were used for prediction of soil loss from Karli river catchment. The WEPP model computed soil loss for 7 channels and 18 hill slopes of Karli river catchment. The GeoWEPP model run for Karli river catchment with contributing total area to outlet was 3978.75 ha. The average annual soil loss from hill slopes and channels was found to be 42.89 t/ha/yr and 8.78 t/ha/yr respectively, totally to 51.67 t/ha/yr. The WEPP model also calculated the sediment yield of Karli river catchment that is 17.92 t/ha/yr. The Water Erosion Prediction Project (WEPP) model predicted the 9.01 t/ha/yr more soil loss than the Universal Soil Loss Equation (USLE) model. It also overestimates the sediment yield than the government data by 9.80 t/ha/yr (Ahmadi et al., 2011) The Universal Soil Loss Equation (USLE) was used for estimation of soil loss from the watershed. The different parameters including soil loss and related were determined by using Remote Sensing data and Geographical Information System tools. The predicted soil loss by using USLE in the Karli river catchment was found to be 42.66 t/ha/yr and it is 9.01 t/ha/yr less than predicted by WEPP. The R factor values were calculated using relationship between the daily rainfall and erosivity index of Wakawali region by developing regression equation. The average annual erosivity obtained for Dukanwadi station was 6635.65 MJ- mm/ha-hr-yr. Soil erodibility factor values were estimated using sand (%), silt (%), clay (%), organic matter content (%), structural code and permeability code of each village. Weighted soil erodibility factor for Karli river catchment was ranging between 0.040 to 0.041 t-ha-hr/ha-MJ-mm. The value of LS factor for Karli river catchment was found in the range of 1.81 to 4.53. The crop management factor associated with erosion losses is site specific. Detailed information on land use land cover was obtained by LANDSAT imageries and field survey. Crop management factor (C) values of Karli river catchment were ranging from 0.024 to 0.12. Considering support conservation practice factor value as 1, soil loss was estimated for Karli river catchment and its micro watersheds using USLE. xviiAlong with the prediction of the soil loss by using WEPP model and its comparison with USLE model the sediment yield predicted by WEPP and observed data by Government department was also considered and for the purpose, The sediment data of Dukanwadi station from 2001-2010 was collected from Hydrology Project, Water Resource Department, Government of Maharashtra (India). According to the observed data, the average annual sediment yield was 8.12 t/ha/yr whereas the predicted sediment yield from the WEPP model was 17.92 t/ha/yr. which is 120 % more predicted than the observed data. The sedimentation also 15.71 % and 34.68% of predicted soil loss by WEPP and for the observed sediment yield and predicted sediment yield respectively. The similar statement is made and that is the sediment yield is 30 to 60% of soil erosion loss (Fernandez et al., 2003; Vemu et al., 2012; Richarde et al., 2014). According to comparative performance of Water Erosion Prediction Project (WEPP) model overestimates the soil loss value and sediment yield value than the Universal Soil Loss Equation (USLE) model and Government data respectively. WEPP model was best suitable model for Karli river catchment due to its less input files, less time consumption, ease to operate and understand, and less data requirement with minimum pre-processed data. xviiiThesisItem Open Access STUDIES ON SOIL EROSION AND CROP PRODUCTIVITY LOSS FOR PALGHAR AND THANE DISTRICTS(COLLEGE OF AGRICULTURAL ENGINEERING AND TECHNOLOGY DR. BALASAHEB SAWANT KONKAN KRISHI VIDYAPEETH,DAPOLI, 2018-10-04) Miss.SHEJALE SHRADDHA VILAS; Prof. dilip MAHALE; Dr. S. B. Nandgude, Dr. K. D. Gharde; Dr, U.S.KadamABSTRACT STUDIES ON SOIL EROSION AND CROP PRODUCTIVITY LOSS FOR PALGHAR AND THANE DISTRICTS By Miss. SHEJALE SHRADDHA VILAS Department of Soil and Water Conservation Engineering College of Agricultural Engineering and Technology Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli Dist.-Ratnagiri, Maharashtra 2018 ,Research Guide : Prof. dilip MAHALE , Department :Soil and Water Conservation EngineeringThesisItem Open Access STUDIES ON SOIL EROSION AND CROP PRODUCTIVITY LOSS FOR RAIGAD AND SINDHUDURG DISTRICTS(COLLEGE OF AGRICULTURAL ENGINEERING AND TECHNOLOGY DR. BALASAHEB SAWANT KONKAN KRISHI VIDYAPEETH,DAPOLI, 2018-09-18) Miss. Phadtare Madhuri Ankush; Dr. S. B. Nandgude; Prof. dilip MAHALE, Dr. K. D. Gharde; Dr. M. S. ManeABSTRACT STUDIES ON SOIL EROSION AND CROP PRODUCTIVITY LOSS FOR RAIGAD AND SINDHUDURG DISTRICTS By Miss Phadtare Madhuri Ankush Department of Soil and Water Conservation Engineering College of Agricultural Engineering and Technology Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli Dist.-Ratnagiri, Maharashtra 2018 Research Guide : Dr. Nandgude S. B. Department : Soil and Water Conservation Engineering One of the most serious land degradation problems is soil erosion. It is defined as the loosening, dissolving and removal of rock materials from all parts of the earth‟s surface by a complex interaction process of many factors such as natural like climate, topography, soil, vegetation and anthropogenic like tillage systems, soil conservation measures, overgrazing and deforestation. Soil erosion is gradual process which adversely affects on crop productivity. Also, erosion reduces soil nutrients, soil water and organic matter. All these factors decline food production and consequently economy. This type of study is very essential in Konkan region of Maharashtra due to extreme weather condition and huge loss of soil through runoff. Hence, there is need to study estimation of actual soil loss and tolerable soil loss which helps to convert topsoil loss into productivity loss. Present study is carried out for Raigad and Sindhudurg districts of Konkan. Raigad and Sindhudurg are coastal districts of Maharashtra state, situated in the western coast of India. Raigad and Sindhudurg Districts were selected for the study. Raigad district spreads between 17 0 51‟ N to 19 0 80‟ N latitudes and 72 0 51‟ E to 73 0 40‟ E longitudes. The total geographical area of Raigad district is 7,152 sq.km and average annual rainfall is 3,884 mm. Sindhudurg District is situated between North 15 0 37‟ to 16 0 40‟ latitudes and East 73 0 19‟ to 74 0 13‟ longitudes. The geographical area of the Sindhudurg district is 5,087 sq.km. and average rainfall is 3,287 mm. 54Universal Soil Loss Equation (USLE) model was used to predict soil loss from the Raigad and Sindhudurg districts of Maharashtra, India. Remote Sensing (RS) and Geographic Information System (GIS) techniques were applied to prepare various layers of USLE parameters which interactively estimate soil erosion from Raigad and Sindhudurg districts. Average annual soil losses were estimated with the help of average annual R factor obtained from 19 years rainfall data, K, LS, C and P. The average annual erosivity for Raigad and Sindhudurg districts were 8387.47 MJ-mm/ha-hr-yr and 8005.85 MJ-mm/ha-hr-yr, respectively. Soil erodibility factor for different villages of Raigad and Sindhudurg districts were in the range of 0.034 to 0.083 t-ha-hr/ha-MJ- mm and 0.012 to 0.054 t-ha-hr/ha-MJ-mm, respectively. The values of LS factor for Raigad district was in the range of 1.866 to 4.314 and 1.931 to 4.195 for Sindhudurg district. Crop management factor (C) values for Raigad were ranging from 0.024 to 0.12 and 0.024 to 0.116 for Sindhudurg District. Conservation practice factor was considered 1 before recommendation of soil and water conservation measures and used to estimate soil loss. Average annual soil loss from study area was 38.22 t/ha/Yr for Raigad and 41.08 t/ha/Yr for Sindhudurg district. In case of Raigad and Sindhudurg districts about 80% of area comes under severe to extremely severe erosion class which was cause of concern. This proves the high need of soil and water conservation measures in the watershed for the sustainable management of natural resources. Tolerable soil loss of Raigad and Sindhudurg districts were estimated based on imperial relations with the help of bulk density, depth of soil and other data. Estimated average tolerable soil loss for Raigad district was 9.53 t/ha/Yr and 9.28 t/ha/Yr for Sindhudurg district for moderately deep soil. The estimated average conservation practice factors (P) were obtained as 0.32 for Raigad district and 0.33 for Sindhudurg district. Estimated soil loss from Raigad district using USLE was 9.18 t/ha/Yr and 8.91 t/ha/Yr for Sindhudurg district after soil and water conservation measures. About 80 % area comes under slight erosion class to moderate erosion class for Raigad and Sindhudurg districts after soil and water conservation measures. Thus, studies on soil erosion and crop productivity loss can be effectively used for planning of soil and water conservation measures in Raigad and Sindhudurg districts. 55ThesisItem Open Access STUDY THE COMPARATIVE PERFORMANCE OF HEC- HMS AND SWAT MODEL FOR PREDICTION OF SURFACE RUNOFF FROM KAL RIVER OF KONKAN REGION IN MAHARASHTRA(COLLEGE OF AGRICULTURAL ENGINEERING AND TECHNOLOGY DR. BALASAHEB SAWANT KONKAN KRISHI VIDYAPEETH,DAPOLI, 2018-09-18) Mr. Mohite Nitin Sambhaji; Dr. Kishor Gharde; Prof. dilip MAHALE, Dr. S. B. Nandgude; Dr. R.T. ThokalABSTRACT "STUDY THE COMPARATIVE PERFORMANCE OF HEC-HMS AND SWAT MODEL FOR PREDICTION OF SURFACE RUNOFF FROM KAL RIVER OF KONKAN REGION IN MAHARASHTRA" By Mohite Nitin Sambhaji Department of Soil and Water Conservation Engineering, College of Agriculture Engineering and Technology, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli Dist- Ratnagiri, Maharashtra 2018 Research Guide Department : Dr. Kishor Gharde : Soil and Water Conservation Engineering 61The socio-economic and political development of a nation is vastly dependent on the availability and distribution of freshwater provided by the river. The estimation of runoff volume of a catchment is an important aspect in engineering planning, environmental impact assessment, flood forecasting and water balance calculations. Proper estimation of runoff magnitude is required for efficient design, planning and management of river basin projects that deal with conservation & utilization of water for various purposes. Therefore numerous models have been developed by different researchers to simulate Rainfall Runoff process. HEC-HMS and SWAT model has been applied for the Kal river catchment in this study. The comparative performance of HEC-HMS and SWAT model was studied for prediction of surface runoff from Kal river of konkan region in Maharashtra. It is observed that, the statistical indices performed to compute the surface runoff by HEC-HMS indicates that R 2 , is 0.95 for simulation period and R 2 , for calibration period is 0.94 whereas for all study period 1991 to 2003 is 0.94. Like that, Nash-Sutcliffe efficiency (NSE), Percent Bias (PBIAS) and ratio of Root Mean Square Error and Standard Deviation (RSR) were estimated to check the performance of the model during simulation and calibration period. It is observed that the NSE values for simulation is 0.90 and during calibration period is 0.92 whereas for whole study period is 0.91. The PBIAS value observed during simulation is -14.45 per cent and for calibration period 8.63 per cent whereas for whole study period is -3.79 per cent. The RSR for simulation period is 0.34 and calibration period is 0.29 whereas for study period is 0.32. It indicates from all indices that, the model predict surface runoff during simulation and calibration period satisfactorily. In other hand, the statistical indices performed to compute the surface runoff by SWAT indicates that R 2 , is 0.94 for simulation period and R 2 , for calibration period is 0.93 whereas for all study period i.e 1994 to 2003 is 0.93. The NSE value for simulation is 0.89 and during calibration period is 0.91 whereas for whole study period is 0.90. The PBIAS value observed during simulation is -14.55 per cent and for calibration period 7.80 per cent whereas for whole study period is -4.23. The RSR for simulation period is 0.36 and calibration period is 0.31 whereas for study period is 0.34. It indicates from all indices that, the model predict surface runoff during simulation and calibration period satisfactorily. 62The statistical indices (R 2 , NSE, PBIAS and RSR) R 2 values for HEC HMS and SAWT model in predicting the surface runoff during simulation and calibration period is more than 0.9 and approaches to the 0.95. This indicated the both models were very good in simulating the surface runoff compared to the observed runoff. The other indices such as PBIAS, values are very realistic and approaches toward the real estimating the surface runoff by both HEC-HMS and SWAT model as their values are ranging between -14.14 to 8.6. Also the values of the NSE and RSR estimated are in the permission limits as per suggested. As per above discussion, it is felt that, performance of both model for predicting the surface runoff is very good for Kal river of Konkan region. The model parameters adopted and calibrated for Kal river may be suitable for predicting the surface runoff by HEC-HMS and SWAT model. The results for predicting the surface runoff by HEC- HMS and SWAT found to similar due the same basic approached in both models and SCS-CN methods is adopted for simulating the surface runoff.ThesisItem Open Access MULTI-CRITERIA BASED LAND SUITABILITY EVALUATION OF WATERSHEDS OF RATNAGIRI DISTRICT FOR MANGO CROP USING GEOSPATIAL TECHNOLOGIES(DR. BALASAHEB SAWANT KONKAN KRISHI VIDYAPEETH DAPOLI, 2022-01-31) Er. SALUNKHE SANJANI SUNIL; Dr. B. L. Ayare, H. N. Bhange; R. T. Thokal, J. S. DhekaleABSTRACT By Sanjani Sunil Salunkhe College of Agricultural Engineering and Technology, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli Dist- Ratnagiri, Maharashtra 2022 Research Guide : Dr. B. L. Ayare Department : Soil and Water Conservation Engineering In recent years, soil erosion has become a major problem in the world. It can exacerbate climate change, reduce agricultural productivity, reduce water quality, decline carbon storage and nutrient availability, among other effects. Accelerated soil erosion is also leading to increase in greenhouse gas emission and addition of carbon to the atmosphere. The problem of soil erosion is exacerbated by anthropogenic global warming. The various causes include deforestation, removal of natural vegetation, improper agricultural activities, overgrazing, and forest fire. Due to these various activities, some carbon is converted to carbon dioxide, a greenhouse gas that is one of the main contributors to global warming. Thus, it is essential to adopt conservation measures which conserve the soil organic carbon so that associated emission of GHGs area also reduced. Carbon sequestration is one of the way to manage the GHGs and improve the soil carbon sequestration through soil and water conservation management to soil fertility regulation and erosion control. Carbon sequestrations through soil, forest and horticulture have great potential to reduce greenhouse gas emissions. In current situation, information with respect to their nature, extent and their distribution are missing, even though they are very important for planning and management of natural resources. For developing appropriate soil conservation techniques, it is required to understand the prevailing and allowable rates of soil erosion. As a result, determining acceptable soil loss (tolerable soil loss) by linking soil erosion and topsoil loss is critical. Thus, adopting various soil and water conservation measures to reduce the soil loss within the tolerable limit along with improving carbon sequestration is very essential for sustainable development and planning of natural resources. Land suitability evaluation plays a vital role in sustainable planning of natural resources to improve land productivity, efficiency of crop production and better income. Thus, land suitability assessment based on multicriteria decision making (MCDM) can be boon to mango, particularly in Konkan region, where productivity of land needs to be improved due to lack of appropriate conservation measures. Ratnagiri is a coastal district of Maharashtra state, lies between 16°30' and 18°5' N latitude and 73°2' and 73°52' E longitude. The total geographical area of Ratnagiri district is 8,459 sq. km. divided into 5 watersheds. The estimated average annual soil loss from Ratnagiri district was 37.80 t/ha. The area under slight, moderate, high, very high, severe and very severe soil erosion classes were 10.37 %, 12.91 %, 18.71 %, 24.31 %, 18.08 % and 15.62 %, respectively, before recommendation of soil and water conservation measures. Tolerable soil loss was estimated with respect to soil depth and bulk density. The estimated average tolerable soil loss for Ratnagiri district was 9.57 t/ha/yr for moderately deep soil. Various soil and water conservation measures were recommended to reduce soil loss below tolerable limits. Thus, the average annual soil loss from Ratnagiri district is expected to be 9.29 t/ha after execution of various conservation measures. After planning and execution of conservation measures, 70 % of the area is expected to come under slight to moderate erosion class. The carbon stock and the amount of CO sequestered by mango tree and soils of mango fields were calculated for Ratnagiri district. Total carbon stock was 7.89 M tonnes. Of that, carbon stock in soil was 1.52 M tonnes and carbon stock in biomass was 6.37 M tonnes of mango crop. Total amount of CO 2 sequestered was 28.94 M tonnes. Of that by biomass was 23.37 M tonnes and by soil was 5.57 M tonnes of mango crop. Thus, it shows that mango trees are a great contributor towards carbon stock by atmospheric CO 2 2 sequestration in soil as well as in biomass of mango crops in Ratnagiri district. After adoption of various soil and water conservation measures, carbon sequestration is expected to increase by 7.11 %. The combination of MCDM with GIS based AHP and sensitivity analysis has been used to assess land suitability for mango crop in Ratnagiri district. There were five main criteria, were climate, topography, soil, erosion and conservation measures and eleven sub-criteria used in the study. The results showed that the soil parameter is most important factor, followed by slope, erosion, conservation measures and climate before adoption of conservation measures. It showed that 8.86 % of the area came under highly suitable class where as 64.08 %, 22.12 % and 4.94 % of the area came under moderately suitable, marginally suitable and not suitable classes, respectively. Similarly, results also showed that the erosion parameter is most important factor, followed by soil, slope, conservation measures and climate after adoption of conservation measures. Hence, after adoption of conservation measures, area expected to increase under highly suitable class is up to 19.37 % with 68.79 % in the moderately suitable class and reduce the area under marginally suitable class up to 7.00%. These results are match with area under mango crop up to 90.18 % (overall accuracy) based on Kappa coefficient of 0.87. Hence, study showed that MCDM with GIS based AHP and sensitivity analysis techniques would improve the reliability of multi-criteria decision making output for each criterion. Thus, mango productivity as well as mango production could be further increased by adoption of innovative soil and water management techniques. So, it could help to achieve the goal of enhancing net return to farmer or mango growers. Hence, mango orchards should not be considered only to raise the income but also benefits in terms of soil conservation and carbon sequestration. Keywords: MCDM, AHP, erosion, carbon sequestration, sensitivity analysis, climate, soil, land suitability, Mango crop
