Streamflow estimation using satellite-retrieved water fluxes and machine learning technique over monsoon-dominated catchments of India

Dayal, Deen; Gupta, Praveen Kumar; Pandey, Ashish

doi:10.1080/02626667.2021.1889557

Cited by 21 publications

(6 citation statements)

References 72 publications

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“…These advanced technologies play a key role in conducting hydrological studies for rainfall estimation, soil moisture estimation and modeling, streamflow estimation, rainfall-runoff modeling, rainfall forecasting, water balance modeling, hydrological modeling, hydraulic and hydrodynamic modeling (Milewski et al 2009;Singh et al 2015Singh et al , 2019Himanshu et al 2017Himanshu et al , 2021Jaiswal et al 2020). Application of remote sensing and GIS in water resources also extends in identifying suitable sites for soil and water conservation structures, sediment yield modeling, reservoir sedimentation, watershed characterization, and management plan (Pandey et al 2011;Pandey et al 2016b;Dayal et al 2021). Satellite data for rainfall estimation has been one of the most popular applications, especially in the data-scarce regions or lack of adequate ground-based instrumentation for measuring rainfall.…”

Section: Methodology Development In Water Resources Managementmentioning

confidence: 99%

Overview of Geospatial Technologies for Land and Water Resources Management

Pandey

Singh

Chowdary

et al. 2021

Geospatial Technologies for Land and Water Resources Management

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Land and water resources management are essential for the future sustainability of the environment. The studies on land and water resources require basic geo-referenced data, such as land use-land cover (LULC), soil maps, and digital elevation models (DEMs) for capturing the spatio-temporal variations of thematic layers. These data can be easily obtained from remote sensing images and limited ground truth. Hydro-meteorological data, such as precipitation, air, land surface temperature, solar radiation, evapotranspiration, soil moisture, river and lakes water levels, river discharge, and terrestrial water storage, can also be derived from remote sensing as well as from point-based ground instruments. Then, studies can be carried out at various spatio-temporal scales.

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Section: Methodology Development In Water Resources Managementmentioning

confidence: 99%

Overview of Geospatial Technologies for Land and Water Resources Management

Pandey

Singh

Chowdary

et al. 2021

Geospatial Technologies for Land and Water Resources Management

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“…The Narmada Basin mainly consists of black soils. The plains are very fertile and, therefore, the majority of the land use is dedicated to agriculture (Dayal et al 2021;Khare 2017, 2018;Rai et al 2017;Swain et al 2021). The basin is enclosed by 35 administrative districts in four states of India.…”

Section: Study Areamentioning

confidence: 99%

Inclusion of groundwater and socio-economic factors for assessing comprehensive drought vulnerability over Narmada River Basin, India: A geospatial approach

et al. 2022

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Drought is amongst the most precarious natural hazards associated with severe repercussions. The characterization of droughts is usually carried out by the sector-specific (meteorological/agricultural/hydrological) indices that are mostly based on hydroclimatic variables. Groundwater is the major source of water supply during drought periods, and the socio-economic factors control the aftermaths of droughts; however, they are often ignored by the sector-specific indices, thereby failing to capture the overall impacts of droughts. This study aims to circumvent this issue by incorporating hydroclimatic, socio-economic and physiographic information to assess the overall drought vulnerability over Narmada River Basin, India, which is an agriculture-dominated basin highly dependent on groundwater resources. A Comprehensive Drought Vulnerability Indicator (CDVI) is proposed that assimilates the information on meteorological fluctuations, depth to groundwater level, slope, distance from river reach, population density, land use/land cover, soil type, and elevation through a geospatial approach. The CDVI showed a remarkable geospatial variation over the basin, with a majority (66.4%) of the area under highly to extremely vulnerable conditions. Out of 35 constituent districts of the basin, 9, 22, and 4 districts exhibited moderate, high, and extreme vulnerability to droughts, respectively. These results urge an immediate attention towards reducing drought vulnerability and enhancing resilience towards drought occurrences. The proposed multi-dimensional approach for drought vulnerability mapping would certainly help policy-makers to proactively plan and manage water resources over the basin, especially to ameliorate the pernicious impacts of droughts.

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“…In contrast, its implication concerning the climate change scenario makes it more complicated. Remote sensing and geographical information system (GIS)-based hydrological modeling simplifies the process and evaluates it for proper decision and policymaking (Dayal et al, 2021;Thakur et al, 2020). Hydrological models are design or handling tools to answer those questions (V. P. Singh & Woolhiser, 2003).…”

Section: Introductionmentioning

confidence: 99%

A Soil Water Assessment Tool (SWAT) Modeling Approach to Prioritize Soil Conservation Management in River Basin Critical Areas Coupled With Future Climate Scenario Analysis

Pandey

Bishal

Kalura

et al. 2021

Air, Soil and Water Research

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About 44% of the Indian landmass experiences the adverse impact of land degradation. This loss of sediments caused by soil erosion reduces the water quality of local water bodies and decreases agricultural land productivity. Therefore, decision-makers must formulate policies and management practices for sustainable management of basins that are cost-effective and environment friendly. Application of the best management practices (BMPs) to properly manage river basins is difficult and time-consuming. Its implication under various climate change scenarios makes it more complicated but necessary to achieve sustainable development. In this study, the soil and water assessment tool (SWAT) model was employed to prioritize the Tons river basin’s critical areas in the central Indian states coupled with future climate scenario analysis (2030–2050) using Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 scenarios. The SWAT model was calibrated and validated for simulation of streamflow and sediment yield for daily and monthly scales using the sequential uncertainty fitting (SUFI-2) technique. The values of coefficient of determination ( R2), Nash–Sutcliffe efficiency (NSE), percent bias (PBIAS), and root mean square error (RMSE)-observations standard deviation ratio (RSR) were .71, .70, −8.3, and .54, respectively during the calibration period, whereas for validation the values were .72, .71, −3.9, and .56, respectively. SWAT model underestimated the discharge during calibration and overestimated the discharge during validation. Model simulations for sediment load exhibited a similar trend as streamflow simulation, where higher values are reported during August and September. The average annual sediment yield of the basin for the baseline period was 6.85 Mg ha−1, which might increase to 8.66 Mg ha−1 and 8.79 Mg ha−1 in the future years 2031–2050 and 2081–2099, respectively. The BMPs such as recharge structure, contour farming, filter strip 3 and 6 m, porous gully plugs, zero tillage, and conservation tillage operations have been considered to evaluate the soil and water conservation measures. Recharge structure appeared to be the most effective measure with a maximum reduction of sediment by 38.98% during the baseline period, and a 37.15% reduction in the future scenario. Sub-watersheds, namely SW-8, SW-10, SW-12, SW-13, SW-14, SW-17, SW-19, SW-21, SW-22, and SW-23, fall under the high category and are thus considered a critical prone area for the implementation and evaluation of BMPs. Compared to the baseline period, the effectiveness of BMPs is slightly decreasing in the 2040s, increasing in the 2070s and decreasing in the 2090s. Recharge structure and filter strip 6 m have been found to nullify the high soil erosion class completely. Overall, SWAT model simulations under the RCP 8.5 scenarios were observed to be reliable and can be adopted to identify critical areas for river basins having similar climatic and geographical conditions.

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Streamflow estimation using satellite-retrieved water fluxes and machine learning technique over monsoon-dominated catchments of India

Cited by 21 publications

References 72 publications

Overview of Geospatial Technologies for Land and Water Resources Management

Overview of Geospatial Technologies for Land and Water Resources Management

Inclusion of groundwater and socio-economic factors for assessing comprehensive drought vulnerability over Narmada River Basin, India: A geospatial approach

A Soil Water Assessment Tool (SWAT) Modeling Approach to Prioritize Soil Conservation Management in River Basin Critical Areas Coupled With Future Climate Scenario Analysis

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