Your search found 13 records
1 Gupta, S. K.; Sharma, S. K.. 1990. A response of crops to high exchangeable sodium percentage. Irrigation Science, 11(3):173-179.
(Location: IWMI-HQ Call no: PER Record No: H06511)
(Location: IWMI-HQ Call no: PER Record No: H06523)
(Location: IWMI-HQ Call no: PER Record No: H08288)
4 Manchanda, H. R.; Sharma, S. K.; Mor, R. P.; Roest, C. W. J. 1993. Relative efficacy of the reuse of saline drainage water dominated by chloride and sulphate ions. In ICID, 15th International Congress on Irrigation and Drainage, The Hague, The Netherlands, 1993: Water management in the next century: Transactions: Vol.1-D, Question 44, R104-R118: Planning and design of irrigation and drainage systems. New Delhi, India: ICID. pp.1409-1418.
(Location: IWMI-HQ Call no: ICID 631.7 G000 ICI Record No: H015485)
(Location: IWMI-HQ Call no: PER Record No: H018462)
6 Sharma, S. K.; Manchanda, H. R. 1996. Influence of leaching with different amounts of water on desalinization and permeability behaviour of chloride and sulphate-dominated saline soils. Agricultural Water Management, 31(3):225-235.
(Location: IWMI-HQ Call no: PER Record No: H019339)
(Location: IWMI-HQ Call no: IIMI 631.7.5 G635 KON Record No: H023567)
8 Dua, V. K.; Sharma, S. K.; Srivastava, A.; Sharma, V. P. 1997. Bioenvironmental control of industrial Malaria at Bharat Heavy Electricals Ltd., Hardwar, India: Results of a nine-year study (1987-95) Journal of the American Mosquito Control Association, 13(3):278-285.
(Location: IWMI-HQ Call no: P 5052 Record No: H023866)
9 Sharma, S. K.. 2001. Status of the ground water: constraints and policy issues for its sustainable exploitation in India. In International Water Management Institute (IWMI); Indian Council of Agricultural Research (ICAR). ICAR-IWMI Ground Water Policy Initiative - 2001, Policy Dialogue on Groundwater Management: papers presented at ICAR-IWMI Workshop on Groundwater Policy Initiative - 2001, Central Soil Salinity Research Institute, Karnal, India, 6-7 November 2001. Karnal India: Central Soil Salinity Research Institute. pp.19-43.
(Location: IWMI HQ Call no: IWMI 631.7.6.3 G635 IWM Record No: H029280)
(Location: IWMI-HQ Call no: P 7351 Record No: H037080)
11 Mutuwatte, L. P.; Konradsen, F.; Renault, D.; Sharma, S. K.; Gulati, O. T.; Kumara, W. A. U. 1997. Water-related environmental factors and malaria transmission in Mahi Kadana, Gujarat, India. Colombo, Sri Lanka: International Irrigation Management Institute (IIMI). vii, 19p. (IIMI Working Paper 041) [doi: https://doi.org/10.5337/2013.040]
(Location: IWMI HQ Call no: IIMI 631.7.5 G635 MUT Record No: H020537)
Analysis of the spatial and temporal relationship between malaria incidence and selected water-related environmental parameters . The analysis is based upon the use of secondary information. GIS was used to generate input into statistical analysis and to map out the parameters for a visual analysis. The paper discusses the quality of the data used and the possibilities for using GIS in healthrelated research.
12 Saraiya, A. B.; Tomar, S. S.; Sharma, S. K.. 2004. Effect of recycling of crop residue and rabi tillage practices on growth, yield and water use of wheat in rice-based cropping system. JNKVV Research Journal, 38(1):26-30.
(Location: IWMI-HQ Call no: P 7545 Record No: H038770)
(Location: IWMI HQ Call no: e-copy only Record No: H050472)
(6.53 MB)
The water resource is an essential field of economic growth, social progress, and environmental integrity. A novel solution is offered to meet water needs, distribution, and IoT-based quality management requirements. With technological growth, this paper presents an IoT-enabled Water Resource Management and Distribution Monitoring System (IWRM-DMS) using sensors, gauge meters, flow meters, ultrasonic sensors, motors to implement in rural cities. Thus, research proposes that the IWRM-DMS establish the rural demand for water and the water supply system to minimize water demand. The system proposed includes different sensors, such as the water flow sensor, the pH sensor, the water pressure valve, the flow meters, and ultrasound sensors. This water system has been developed, which addresses the demand for domestic water in the village. Machine Intelligence has been designed for demand prediction in the decision support system. The simulation results confirm the applicability of the proposed framework in real-time environments. The proposed IWRM-DMS has been proposed to analyse the water quality to ensure water distribution in a rural area to achieve less MAPE (21.41%) and RMSE(15.12%), improve efficiency (96.93%), Reliability (98.24%), enhance prediction (95.29%)), the overall performance (97.34%), moisture content ratio (7.4%), cost-effectiveness ratio (95.7%) when compared to other popular methods.
Powered by DB/Text
WebPublisher, from