Assessment of Water Supply–Demand Using Water Evaluation and Planning (WEAP) Model for Ur River Watershed, Madhya Pradesh, India

Agarwal, Sunny; Patil, Jyoti P.; Goyal, Vikas; Singh, Ajai K.

doi:10.1007/s40030-018-0329-0

Cited by 38 publications

(29 citation statements)

References 8 publications

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“…It means that all the water entering the system in a given period is either stored in a river, a reservoir, or leaves the system by the end of that period. All flows are assumed to occur instantaneously and a demand section can withdraw water from the river, consume some, and return the remaining to the river, all in the same time step [14]. In the case of Sistan region, monthly time steps were chosen to run the model.…”

Section: Weap Modelmentioning

confidence: 99%

Sustainable Water Resources Management in an Arid Area Using a Coupled Optimization-Simulation Modeling

Farrokhzadeh

Monfared

Azizyan

et al. 2020

Water

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Severe water scarcity in recent years has magnified the economic, social, and environmental significance of water stress globally, making optimal planning in water resources necessary for sustainable socio-economic development. One of the regions that is most affected by this is the Sistan region and its Hamoun wetland, located in south-east Iran. Water policies are essential to sustain current basin ecosystem services, maintaining a balance between conflicting demands from agriculture and the protection of wetland ecosystems. In the present study, a multi-objective optimization model is linked with the Water Evaluation and Planning (WEAP) software to optimize water allocation decisions over multiple years. We formulate and parameterize a multi-objective optimization problem where the net economic benefit from agriculture and the supply of environmental requirements were maximized, to analyze the trade-off between different stakeholders. This problem is modeled and solved for the study area with detailed agricultural, socio-economic, and environmental data for 30 years and quantification of ecosystem services. By plotting Pareto sets, we investigate the trade-offs between the two conflicting objectives and evaluate a possible compromise. The results are analyzed by comparing purely economic versus multi-objective scenarios on the Pareto front. Finally, the disadvantages and advantages of these scenarios are also qualitatively described to help the decision process for water resources managers.

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Section: Weap Modelmentioning

confidence: 99%

Sustainable Water Resources Management in an Arid Area Using a Coupled Optimization-Simulation Modeling

Farrokhzadeh

Monfared

Azizyan

et al. 2020

Water

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“…Arc SWAT (Soil and Water Assessment Tool) which is a tool in ArcGIS software is used for watershed modelling [18]. For computing runoff rate from rainfall, Soil Conservation Service (SCS) curve number (CN) method also can be used [19]. ArcGIS based modeling with the help of Digital Elevation Model, Contour map model was simulated for Krishna Delta Andhra Pradesh [20].…”

Section: Girish Sunny Agarwalmentioning

confidence: 99%

Utilization of Storm Water Management Model for Urban Flood Scenario

Gisrish,

Agarwal

2019

IJEAT

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Majors cities in India have witnessed huge floods from past few decades. Due to rapid population growth and improper urban planning the chances of creek, localised or flash urban floods have drastically increased. Climatic changes are also a key reason for heavy rainfall that increases the flood volume and depth in a catchment. Modelling of Storm water plays a key role in estimating flood runoff quantity and quality. To check these issues SWMM is used to simulate floods scenario in Urban areas. This hydrological study is carried out to simulate and understand the rainfall runoff characteristics of the study area by using SWMM. It is an effective tool used for simulating flash floods and runoff in urban areas. In this study catchments have been subdivided into 14 parts and modelled for year 2017 rainfall events of 1-hr interval. The present study area is evaluated by importing AutoCAD map of the area in SWMM. Further Rainfall Data is imported as time series in the model. The results depict that the Runoff for the Sub catchments of S1, S2, S3, S9, S13 blocks are maximum. The study states that no nodes are flooded and also no overflow sections. Thus, the selected study area storm network system has been well planned and has enough carrying capacity to carry the simulated rainfall for a prolonged duration

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“…The increasing rate of evapotranspiration leads to an imbalance of water in the atmosphere and surface water. [2] Hence, researches on the effect of universal climate alteration on several segments (agriculture, water resources organization, and ecosystems) are significant for economic and social reasons. Alterations in rainfall and temperature may influence drought and flood occurrences directly [3] and consequently have serious impacts on humans, infrastructure, and environment.…”

Section: Introductionmentioning

confidence: 99%

“…The SPI, SRI and GRI indices were applied in this study for evaluating the effect of climate change on drought characteristics. [17,18] The objectives of this paper therefore were: (1) to contrast SPI, SRI and GRI indices in their capability to define chronological drought, entailing the conversion of meteorological drought to hydrological drought (both surface and groundwater drought) and (2) to examine how drought can be anticipated to change in the future, with the application of SPI, SRI, and GRI drought indices and climate projections (CMIP5 under the different scenario of RCPs) for Borkhar basin in Iran. These objectives are novel with regard to the application of data from "Climate Explorer" in Iran and the improvement and contrast of SPI, SRI and GRI projections into the future time period in the basin.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of hydro-meteorological drought indices for characterizing historical and future droughts and their impact on groundwater

Javadinejad

Dara

Jafary

2020

Resour Environ Inf Eng

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The effect of meteorological and hydrological droughts is very important in arid and semi-arid regions. Analyzing these effects on groundwater supplies plays an important role for water management in those regions. This paper aims to characterize droughts in the Isfahan-Borkhar basin, an arid area of Iran. The observed hydro-climatic data (for the period of 1971-2005) were used for hydro-meteorological projections (for the period of 2006-2040). Meteorological and surface hydrological drought evaluated by Standardized Precipitation Index (SPI), Standardized Runoff Index (SRI), and the effect of hydro-meteorological droughts on groundwater was investigated by Groundwater Resources Index (GRI). Results showed that dry and wet conditions would occur in the region in the initial and subsequent decades, based on the three indices. There was a significant association between SPI, SRI, and GRI at the time scale of 12 months. The SPI estimated using only meteorological variables alone and it is useful for estimating meteorological drought forecasts. However, SRI and GRI can represent hydrological drought that computed using catchment discharge, soil moisture and groundwater level. Results showed a considerable alteration in time of drought outlines across the area and association between the variables of predicted precipitation, temperature and the kind of indices. The projection of all three drought indices indicated drier conditions in the future period (2006-2042). The results provide reasonable management strategy for management of water resources in arid coastal plains.

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Assessment of Water Supply–Demand Using Water Evaluation and Planning (WEAP) Model for Ur River Watershed, Madhya Pradesh, India

Cited by 38 publications

References 8 publications

Sustainable Water Resources Management in an Arid Area Using a Coupled Optimization-Simulation Modeling

Sustainable Water Resources Management in an Arid Area Using a Coupled Optimization-Simulation Modeling

Utilization of Storm Water Management Model for Urban Flood Scenario

Evaluation of hydro-meteorological drought indices for characterizing historical and future droughts and their impact on groundwater

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