Your search found 32 records
1 Jensen, J. R.; Seth, S. L.; Sawhney, T.; Kumar, P.. (Eds.) 1996. Watershed development: Emerging issues and framework for action plan for strengthening a learning process at all levels. Proceedings of Danida's First International Workshop on Watershed Development, held at Hubli and Bangalore, Karnataka State, India, from 2-10 December 1995. New Delhi, India: Danida's Watershed Development Programme. Watershed Development Coordination Unit. xxxxii, 570p. (WDCU publication no.1)
Watershed management ; Water resources development ; Development aid ; Development projects ; Agricultural policy ; Agroforestry ; Land use ; Soil conservation ; Water conservation ; Social participation / Denmark / India / Nepal / Tanzania / Ghana / Kenya / Ethiopia / Orissa / Karnataka / Tirunelveli / Tamil Nadu / Kitui / Eritrea
(Location: IWMI-HQ Call no: 333.91 G000 JEN Record No: H021707)

2 Satyasai, K. J. S.; Kumar, P.; Mruthyunjaya. 1997. Terms of transactions in groundwater markets: A study in Anantapur District of Andhra Pradesh. Indian Journal of Agricultural Economics, 52(4):751-760.
Groundwater irrigation ; Water market ; Water costs ; Mathematical models / India / Andhra Pradesh / Anantapur District
(Location: IWMI-HQ Call no: PER Record No: H022388)

3 Thapliyal, K. C.; Lepcha, S. T. S.; Kumar, P.; Chandra, B.; Virgo, K. J.; Sharma, P. N. 1998. Participatory watershed management in the Lesser Himalayas: Experiences of the Doon Valley Project. In Bhushan, L. S.; Abrol, I. P.; Rao, M. S. R. M. (Eds.), Soil and water conservation: Challenges and opportunities - Volume 2. New Delhi, India: Oxford & IBH Publishing Co. Pvt. Ltd. pp.1054-1069.
Watershed management ; Constraints ; Development projects ; Social participation ; Social aspects ; Women ; Benefits / India / Doon Valley / Lesser Himalayas / Uttar Pradesh / Himachal Pradesh / Dhauladhar Project
(Location: IWMI-HQ Call no: 631.4 G000 BHU Record No: H022747)
https://vlibrary.iwmi.org/pdf/H022747.pdf
(0.75 MB)

4 Thapliyal, K. C.; Lepcha, S. T. S.; Kumar, P.. 1999. A new approach for government: The Doon Valley Integrated Watershed Management Project, Uttar Pradesh, India. In Hinchcliff, F.; Thompson, J.; Pretty, J.; Guijt, I.; Shah, P. (Eds.). Fertile ground: The impacts of participatory watershed management. London, UK: IT Publications. pp.157-163.
Watershed management ; Training ; Social participation ; Agricultural research ; Non-governmental organizations ; Women in development ; Equity / India / Uttar Pradesh / Doon Valley / Dehra Dun
(Location: IWMI-HQ Call no: 333.91 G000 HIN Record No: H024865)

5 Phukan, S.; Kumar, P.; Panda, J.; Nayak, B. R.; Tiwari, K. N.; Singh, R. P. 2001. Application of drag reducing commercial and purified guargum for reduction of energy requirement of sprinkler irrigation and percolation rate of the soil. Agricultural Water Management, 47(2):101-118.
Sprinkler irrigation ; Energy consumption ; Percolation ; Infiltration / India
(Location: IWMI-HQ Call no: PER Record No: H027906)

6 Patnaik, U. S.; Choudhury, P. R.; Sudhishri, S.; Kumar, P.; Samra, J. S. 2000. Community participation in a tribal dominated micro-watershed development project in Eastern Ghats: A case study. In Mehrotra, R.; Soni, B.; Bhatia, K. K. S. (Eds.), Integrated water resources management for sustainable development - Volume II. Roorkee, India: National Institute of Hydrology. pp.936-946.
Watershed management ; Social participation ; Constraints ; Case studies / India / Eastern Ghats / Kokriguda Watershed
(Location: IWMI-HQ Call no: 333.91 G000 MEH Record No: H028105)

7 Kumar, P.; Mishra, A.; Raghuwanshi, N. S.; Singh, R. 2002. Application of unsteady flow hydraulic-model to a large and complex irrigation system. Agricultural Water Management, 54(1):49-66.
Simulation models ; Hydraulics ; Calibration ; Irrigation canals ; Networks ; Water delivery ; Irrigation programs ; Performance evaluation / India / West Bengal / Kangsabati Irrigation Project
(Location: IWMI-HQ Call no: PER Record No: H029523)

8 Panda, R. K.; Kumar, P.; Kashyap, P. S. 2003. Effective management of irrigation water in Sub-humid region using PNUTGRO model. Journal of Applied Irrigation Science, 38(1):41-55.
Irrigation management ; Simulation models ; Soil water ; Water stress ; Evapotranspiration ; Crop production ; Sensitivity analysis / India / Kharagpur
(Location: IWMI-HQ Call no: PER Record No: H031853)

9 Kumar, P.; Sharma, R. K. 2003. Spatial price integration and pricing efficiency at the farm level: A study of paddy in Haryana. Indian Journal of Agricultural Economics, 58(2):1-233.
Agricultural economics ; Rice ; Pricing ; Marketing ; Households / India / Haryana
(Location: IWMI-HQ Call no: PER Record No: H033142)

10 Kumar, A.; Kumar, P.. 2003. Food safety measures: Implications for fisheries sector in India. Indian Journal of Agricultural Economics, 58(3):365-374.
Fisheries ; Food supply ; Economic aspects ; Trade policy / India / Bangladesh
(Location: IWMI-HQ Call no: PER Record No: H033722)

11 White, A. B.; Kumar, P.; Saco, P. M.; Rhoads, B. L.; Yen, B. C. 2003. Changes in hydrologic response due to stream network extension via land drainage activities. Journal of the American Water Resources Association, 39(6):1547-1560.
Surface water ; Hydrology ; Watershed management ; Drainage ; Networks ; River basins ; Models / USA / Illinois / The Mackinaw River Basin
(Location: IWMI-HQ Call no: PER Record No: H034079)

12 Kumar, P.. 2004. Layer averaged Richard’s equation with lateral flow. Advances in Water Resources, 27(5):521-531.
Soil moisture ; Flow ; Models
(Location: IWMI-HQ Call no: PER Record No: H034860)

13 Chand, R.; Kumar, P.. 2004. Determinants of capital formation and agriculture growth: Some new explorations. Economic and Political Weekly, 39(52):5611-5616.
Agricultural development ; Models ; Private investment ; Public investment / India
(Location: IWMI-HQ Call no: P 7235 Record No: H036544)

14 Kumar, P.; Gupta, M. 2004. Crop management strategies under aberrant weather conditions in rainfed areas of Himachal Pradesh. Indian Farming, 54(2):28-30.
Rain-fed farming ; Crop production ; Water harvesting ; Recycling / India / Himachal Pradesh
(Location: IWMI-HQ Call no: P 7461 Record No: H038002)

15 Bala, N.; Kumar, P.; Singh, G.; Kurdaram. 2004. Solving saline setbacks: Reclamation of saline waterlogged area through community participation. Wastelands News, 19(4):33-36.
Salinity control ; Waterlogging ; Land reclamation ; Surface drainage ; Farmer participation / India / Rajasthan / Rawatsar / Indira Gandhi Nahar Pariyojna
(Location: IWMI-HQ Call no: P 7514 Record No: H038512)

16 Kumar, P.; Alameda, J.; Bajcsy, P.; Folk, M.; Markus, M. 2006. Hydroinformatics: Data integrative approaches in computation, analysis, and modeling. Boca Raton, FL, USA: Taylor & Francis. xviii, 534p.
Hydrology ; Models ; Data processing ; Computer techniques ; Networks
(Location: IWMI-HQ Call no: 551.48 G000 KUM Record No: H038906)

17 Kumar, P.. 2006; 2007. Contract farming through agribusiness firms and state corporation: A case study in Punjab. Economic and Political Weekly, 41(52):5367-5375.
Farmers ; Contract farming ; Farming systems ; Crop management ; Households / India / Punjab
(Location: IWMI HQ Call no: P 7944 Record No: H040318)

18 Kumar, P.; Love, A.; Sharma, R. S.; Babu, C. R. 2003. Valuing the hydrological impact of changing land-use: a case of Yamuna floodplain wetland ecosystems, Delhi. In Chopra, K.; Hanumantha Rao, C. H.; Sengupta, R. (Eds.). Water resources, sustainable livelihoods and eco-system services. New Delhi, India: Concept publishing Company, for Indian Society for Ecological Economics. pp.382-400.
Wetlands ; Flood plains ; Groundwater recharge ; Water balance ; Aquifers ; Water table ; Crop production ; Wheat ; Vegetables / India / Delhi / Yamuna floodplain
(Location: IWMI HQ Call no: 333.91 G635 CHO Record No: H040961)

19 Batra, N; Yang, Y. C. E.; Choi, H. I.; Kumar, P.; Cai, X.; de Fraiture, Charlotte. 2008. Understanding hydrological cycle dynamics due to changing land use and land cover: Congo Basin study. In IEEE International Geoscience and Remote Sensing Symposium, Boston, Massachusetts, USA, 6-11 July 2008. Los Alamitos, CA, USA: IEEE Publications Office. Vol. 5. pp.V491-V494.
Remote sensing ; Simulation models ; Hydrology ; GIS ; Land use ; Land cover ; River basins ; Forests ; Case studies ; Water balance ; Precipitation ; Evapotranspiration ; Runoff / Africa / Congo River Basin / Congo Forest
(Location: IWMI HQ Call no: e-copy only Record No: H042121)
https://vlibrary.iwmi.org/pdf/H042121.pdf
(0.29 MB)
Land use and land cover changes (LULCC) significantly modify the hydrological flow regime of the watersheds, affecting water resources and environment from regional to global scale. In recent years, with an increased number of launched satellites, regular updates of land-cover databases are available. This study seeks to advance and integrate water and energy cycle observation, scientific understanding, and its prediction to enable society to cope with future climate adversities due to LULCC. We use the Common Land Model [1] which is developed with enhanced spatial and temporal resolution, physical complexity, hydrologic theory and processes to quantify the impact of LULCC on hydrological cycle dynamics. A consistent global GIS-based dataset is constructed for the surface boundary conditions of the model from existing observational datasets available in various resolutions, map projections and data formats. Incorporation of the projected LULCC of Intergovernmental Panel on Climate Change (IPCC) A1B scenario [2] into our hydrologic model enhances scientific understanding of LULCC impact on the seasonal hydrological dynamics. An interesting case study is addressed over the Congo basin located in the western central Africa which has the second largest rain forest area in the world. It is surrounded by plateaus merging into savannas in the south, mountainous terraces and grassland in the west and mountainous glaciers in the east. Savanna and Evergreen Broadleaf forest are projected to be cleared off in places to be replaced by dryland, cropland and pasture. By 2100, there would be a 10% decrease in savanna and 2% decrease in evergreen forest under A1B scenario of IPCC. Each land cover class has a particular set of characteristics defined in the model and any change in land cover type changes the vegetation properties, rooting depth, roughness length, etc. which results in a change of energy and water fluxes. Deforestation of evergreen forests and intense land clearing of savanna leads to reduction in evapotranspiration. Model results show that the gain in runoff follows the pattern of loss in evapotranspiration.

20 Kumar, P.; Alameda, J.; Bajcsy, P.; Folk, M.; Markus, M. 2006. Hydroinformatics: Data integrative approaches in computation, analysis, and modeling. Boca Raton, FL, USA: Taylor & Francis. xviii, 534p.
Hydrology ; Models ; Data processing ; Computer techniques ; Networks
(Location: IWMI-HQ Call no: 551.48 G000 KUM C2 Record No: H043845)
http://vlibrary.iwmi.org/pdf/H043845_TOC.pdf
(0.11 MB)

Powered by DB/Text WebPublisher, from Inmagic WebPublisher PRO