Author
N. C. V. Rangacharya
Bio: N. C. V. Rangacharya is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Water resources. The author has an hindex of 2, co-authored 2 publications receiving 58 citations.
Topics: Water resources
Papers
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TL;DR: In this article, a linear programming model was used to generate optimal cropping patterns from past drought experiences as also from synthetic drought occurrences in a tropical region such as India, where one third of the cropped area is affected by frequent droughts.
Abstract: Demand for water is increasing continually, whereas available supplies are more or less constant. Under these circumstances there is an urgent need to introduce efficient techniques in water resources management for optimal utilization of available water. Water management under drought conditions assumes great importance in a tropical region such as India, where one‐third of the cropped area is affected by frequent droughts. This paper deals with the development and application of an expert system for drought management. A linear programming model was used to generate optimal cropping patterns from past drought experiences as also from synthetic drought occurrences. These policies together with the knowledge of the experts were incorporated in an expert system. Using this, one can identify the degree of drought in the current situation and its similarity to the identified drought events and be able to get the corresponding management strategy.
36 citations
TL;DR: In this article, a methodology to identify those parameters from the available historic data on streamflow and rainfall having seasonal pattern is proposed, which follows and modifies a procedure by Herbst et al. (1966) suggested for the analysis of drought.
Abstract: Water management under drought conditions is a challenging task to irrigation and agricultural engineers. The parameters of interest in identifying drought include onset, termination and severity. In this paper, a methodology to identify those parameters from the available historic data on streamflow and rainfall having seasonal pattern is proposed. The methodology follows and modifies a procedure by Herbst et al. (1966) suggested for the analysis of drought. This modified methodology is applied to the streamflow series of the Bhadra river and the mean areal rainfall series for the catchment of the Bhadra reservoir in Karnataka State, India. The droughts identified by the proposed methodology are concurrent with the historically realized droughts, thus proving the viability and applicability of the methodology in the identification of drought conditions.
25 citations
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TL;DR: In this paper, the authors provide a review of fundamental concepts of drought, classification of droughts, drought indices, historical Droughts using paleoclimatic studies, and the relation between DAs and large scale climate indices.
3,352 citations
TL;DR: In this paper, a linear programming (LP) model has been developed for optimal land and water resources allocation in various sectors of the Hirakud Canal Command, a multi-purpose irrigation project on the river Mahanadi in eastern India.
116 citations
TL;DR: In this paper, the authors presented an approach to explore water management options in irrigated agriculture considering the constraints of water availability and the heterogeneity of irrigation system properties using remote sensing (RS) data.
110 citations
TL;DR: In this article, the authors presented a model based on on-farm irrigation scheduling and the simple GA method for decision support in irrigation project planning, which is applied to an irrigation project located in Delta, Utah of 394.6 ha in area, for optimizing economic profits, simulating the water demand, crop yields, and estimating the related crop area percentages with specified water supply and planted area constraints.
107 citations
TL;DR: In this article, a relationship between average drought frequency and the evapotranspiration/precipitation ratio for the arid, semi-arid and sub-humid climatic regions of India was developed.
Abstract: The parameters commonly considered to define climate are the mean annual precipitation and mean annual potential evapotranspiration. In this study an attempt has been made to develop a relationship between average drought frequency and the evapotranspiration/precipitation ratio for the arid, semi-arid and subhumid climatic regions of India. The climatic regions are delineated using two climatic indices: namely (i) the ratio of mean annual precipitation (Pa) to global terrestrial mean annual precipitation (Pg), and (ii) the ratio of mean annual potential evapotranspiration (Ep) to mean annual precipitation (Pa). It was noted that the average drought frequency (i e., year−1.) decreases gradually from dry to wet regions. The return period varies from 2 to 3 years in the arid regions (12>EpsPa≥5), 3 to 5 years in semi-arid regions (5>EpsPa≥2), and 5 to 8 years in sub-humid regions (2>EpsPa≥3s4). Another relationship was developed between the average frequency of drought occurrence and the ratio of mean annual deficit to mean annual precipitation, (Ep−Pa)sPa. The results have been compared with the drought experiences documented for other regions of the world. Copyright © 2001 John Wiley & Sons, Ltd.
68 citations