Identification of Suitable Hydrological Models for Streamflow Assessment in the Kangsabati River Basin, India, by Using Different Model Selection Scores

Kumari, Nikul; Srivastava, Ankur; Sahoo, Bhabagrahi; Raghuwanshi, N. S.; Bretreger, David

doi:10.1007/s11053-021-09919-0

Cited by 51 publications

(18 citation statements)

References 84 publications

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“…This study used an FDC to evaluate the streamflow processes. An FDC, also known as a percent exceedance probability curve, is a graphical tool to describe streamflow [41]. The values of the FDC are different for each watershed in Figure 5.…”

Section: Calculation Results Of Flow Metricsmentioning

confidence: 99%

“…The values of the FDC are different for each watershed in Figure 5. The shape of an FDC is affected mainly by reservoirs, land use type, and upstream water use at a daily scale [41]. Watersheds with higher imperviousness had a larger FDC, as shown in Figure 5 illustrates the flow duration curve (FDC) and design flow metrics for each watershed.…”

Section: Calculation Results Of Flow Metricsmentioning

confidence: 99%

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Correlation Analysis between Hydrologic Flow Metrics and Benthic Macroinvertebrates Index (BMI) in the Han River Basin, South Korea

et al. 2021

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In aquatic ecosystems, flow is one of the most essential elements of aquatic species. It is necessary to explore the correlation with ecological indices for the management guidelines of aquatic ecosystems using flow because aquatic ecosystem data are limited. This study calculated the flow metrics using the flow and analyzed the correlation between the flow metrics and the ecological index. This study attempted to understand the correlation between the ecologic index and flow metrics. Flow metrics were quantified flow in various ways, depending on the size, frequency, and design of the flow. The characteristics of flow metrics were identified and the correlation with the ecological index was studied. The Pearson correlation coefficient values for 22 watersheds were compared using the flow data from 2008 to 2015 and the ecological index data from the BMI. In watersheds with high imperviousness, the Pearson correlation coefficient was negative, which indicated that the correlation in this study provides basic data for the quantitative evaluation of the river ecosystem by identifying the relationship between imperviousness and BMI. As a result, the highest Pearson correlation coefficient values of flow metrics were related to the flow coefficient of variation (MACV13-16; MHCV; MLCV).

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Section: Calculation Results Of Flow Metricsmentioning

confidence: 99%

Section: Calculation Results Of Flow Metricsmentioning

confidence: 99%

Correlation Analysis between Hydrologic Flow Metrics and Benthic Macroinvertebrates Index (BMI) in the Han River Basin, South Korea

et al. 2021

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“…Besides, when the SWAT model was applied to simulate the runoff process at a small basin, due to the lack of data about the groundwater process and aquifer system, especially the natural and artificial water storage systems closely related to hydrological conditions, such as dams and reservoirs, wetlands and ponds, the precision is constrained. Kumari et al [69] also proved that when using the hydrological model to simulate runoff, the shape of a flow duration curve is mainly affected by reservoirs, land-use types, and upstream abstractions of water. The GRB is widely distributed, and several artificial water conservancy facilities such as reservoirs and dams play an important role in the hydrological cycle.…”

Section: Impact Of Et and Runoffmentioning

confidence: 99%

Estimation of Terrestrial Water Storage Changes at Small Basin Scales Based on Multi-Source Data

Liu

Zhong

et al. 2021

Remote Sensing

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Terrestrial water storage changes (TWSCs) retrieved from the Gravity Recovery and Climate Experiment (GRACE) satellite mission have been extensively evaluated in previous studies over large basin scales. However, monitoring the TWSC at small basin scales is still poorly understood. This study presented a new method for calculating TWSCs at the small basin scales based on the water balance equation, using hydrometeorological and multi-source data. First, the basin was divided into several sub-basins through the slope runoff simulation algorithm. Secondly, we simulated the evapotranspiration (ET) and outbound runoff of each sub-basin using the PML_V2 and SWAT. Lastly, through the water balance equation, the TWSC of each sub-basin was obtained. Based on the estimated results, we analyzed the temporal and spatial variations in precipitation, ET, outbound runoff, and TWSC in the Ganjiang River Basin (GRB) from 2002 to 2018. The results showed that by comparing with GRACE products, in situ groundwater levels data, and soil moisture storage, the TWSC calculated by this study is in good agreement with these three data. During the study period, the spatial and temporal variations in precipitation and runoff in the GRB were similar, with a minimum in 2011 and maximum in 2016. The annual ET changed gently, while the TWSC fluctuated greatly. The findings of this study could provide some new information for improving the estimate of the TWSC at small basin scales.

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“…Based on a multi-model approach composed of four gHMs (DBH, H08, LPJml, and PCR-GLOBWB) and two rHMs (GR4J and HMETS) driven by multiple forcing meteorological datasets over 198 large-sized NA catchments for the 1971-2010 period, this study aims at contributing to the ISIMIP2a topic for operational use purposes by: (1) assessing the gHMs' performance in terms of simulating seasonal flow dynamics; (2) comparing the gHMs' performance with that of the rHMs; and (3) based on ( 1) and ( 2), exploring the influence of the global driving datasets and catchment characteristics on gHM performance. The four gHMs are selected as they contain the varsoc socio-economic scenario for multiple forcing meteorological datasets over NA; the selected rHMs usually display reliable accuracy in data-deficient conditions due to their quite simple and parsimonious structure [36,37]. Overall, this work provides key information for subsequent impact studies, supporting decision-making based on the gHMs for the NA region covered by the global ISIMIP2 domain.…”

Section: Introductionmentioning

confidence: 99%

Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America

Troin

Arsenault

Fournier

et al. 2021

Water

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A satisfactory performance of hydrological models under historical climate conditions is considered a prerequisite step in any hydrological climate change impact study. Despite the significant interest in global hydrological modeling, few systematic evaluations of global hydrological models (gHMs) at the catchment scale have been carried out. This study investigates the performance of 4 gHMs driven by 4 global observation-based meteorological inputs at simulating weekly discharges over 198 large-sized North American catchments for the 1971–2010 period. The 16 discharge simulations serve as the basis for evaluating gHM accuracy at the catchment scale within the second phase of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2a). The simulated discharges by the four gHMs are compared against observed and simulated weekly discharge values by two regional hydrological models (rHMs) driven by a global meteorological dataset for the same period. We discuss the implications of both modeling approaches as well as the influence of catchment characteristics and global meteorological forcing in terms of model performance through statistical criteria and visual hydrograph comparison for catchment-scale hydrological studies. Overall, the gHM discharge statistics exhibit poor agreement with observations at the catchment scale and manifest considerable bias and errors in seasonal flow simulations. We confirm that the gHM approach, as experimentally implemented through the ISIMIP2a, must be used with caution for regional studies. We find the rHM approach to be more trustworthy and recommend using it for hydrological studies, especially if findings are intended to support operational decision-making.

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Identification of Suitable Hydrological Models for Streamflow Assessment in the Kangsabati River Basin, India, by Using Different Model Selection Scores

Cited by 51 publications

References 84 publications

Correlation Analysis between Hydrologic Flow Metrics and Benthic Macroinvertebrates Index (BMI) in the Han River Basin, South Korea

Correlation Analysis between Hydrologic Flow Metrics and Benthic Macroinvertebrates Index (BMI) in the Han River Basin, South Korea

Estimation of Terrestrial Water Storage Changes at Small Basin Scales Based on Multi-Source Data

Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America

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