scholarly journals Geospatial evaluation of drought resilience in sub-basins of Mahanadi river in India

2020 ◽  
Vol 20 (7) ◽  
pp. 2826-2844
Author(s):  
Preeti Rajput ◽  
Manish Kumar Sinha

Abstract Development is said to be sustainable in respect of drought if the effect has been absorbed by the existing system. Occurrence of drought depends on physiographical, climatic factors and optimum utilization of available resources of the river basin. This study aims to evaluate the vulnerability and resilience of river basin systems for the identification of priority areas under drought susceptibility for three different river basins, namely Arpa, Kharun and Upper Seonath of Mahanadi river in central India, as a pilot area for this study. The study represents an approach to evaluate the drought susceptibility of river basins based on physiographical factors and anthropogenic activities. A model proposed for vulnerability assessment based on variables of exposure, sensitivity and adaptive capacity, and a geospatial database of basin characteristics contributing to vulnerability, was generated using remote sensing and a geographic information system. Multi-criteria decision analysis was done to evaluate the influence of river basin characteristics, population load and land-use/cover on drought susceptibility for assessing the drought vulnerability of the river basin and suggest the solution for the optimum utilization of natural resources according to the river basin characteristics. The result of this study demarcates the area in four categories of Extremely vulnerable, Moderately vulnerable, Vulnerable and Not vulnerable. On the analysis, only 3.86% of Upper Seonath is Not vulnerable, followed by Kharun basin having 15.59% as Not vulnerable area and 48.23% of the area of Arpa river basin identified as Not vulnerable. Arpa river basin is least affected by drought due to its lower population density and high coverage of forest and agriculture area.

2016 ◽  
Vol 48 (2) ◽  
pp. 416-430 ◽  
Author(s):  
Abubaker Omer ◽  
Weiguang Wang ◽  
Amir K. Basheer ◽  
Bin Yong

Understanding the linear and nonlinear responses of runoff to environmental change is crucial to optimally manage water resources in river basins. This study proposes a generic framework-based hydrological model (Soil and Water Assessment Tool (SWAT)) and two approaches, to comprehensively assess the impacts of anthropogenic activities and climate variability on runoff over the representative Hutuo River Basin (HRB), China. Results showed that SWAT performed well in capturing the runoff trend in HRB; however, it exhibited better performance for the calibration period than for the validation. During 1961–2000, about 26.06% of the catchment area was changed, mainly from forest to farmland and urban, and the climate changed to warmer and drier. The integrated effects of the anthropogenic activities and climate variability decreased annual runoff in HRB by 96.6 mm. Direct human activities were responsible for 52.16% of runoff reduction. Climate (land use) decreased runoff by 45.30% (2.06%), whereas the combined (land use + climate) impact resulted in more runoff decrease, by 47.84%. Land use–climate interactive effect is inherent in HRB and decreased runoff by 1.02%. The proposed framework can be applied to improve the current understanding of runoff variation in river basins, for supporting sustainable water resources management strategies.


Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1974
Author(s):  
Guofeng Zhu ◽  
Qiaoqiao Li ◽  
Hanxiong Pan ◽  
Meihua Huang ◽  
Junju Zhou

The reduction of grain production caused by drought is one of the most serious problems caused by natural disasters. The relative soil moisture of farmland is the most important monitoring indicator for agricultural drought. This study investigated the relative soil moisture of farmland data from 38 agrometeorological stations in a continental river basin area in China from 1992 to 2012. Spatial and temporal variations of the relative soil moisture of farmland were studied using geostatistical analysis. The results show that, from 1992 to 2012, the average annual relative soil moisture of farmland in the continental river basin ranged from 62.5 to 86.1%, and the relative soil moisture of farmland was high in the marginal areas of basins and low in the central areas of basins and plateau areas. The relative soil moisture of farmland was high in the Tarim Basin and the Hexi Corridor, which are located in the northern Tianshan Mountains and the southern and northern Qilian Mountains, and was low from the northern Altun Mountains to the south of Lop Nor, the Turpan Depression, and the Tarbagatai Mountains. From 1992 to 2012, the annual average relative soil moisture of farmland in the continental river basins showed an increasing trend, with a growth rate of 0.57% yr−1. The variation tendency of the relative soil moisture of farmland was different in different river basins; the relative soil moisture showed a decreasing trend in the Mongolian Plateau and an increasing trend in other basin areas. The relative soil moisture of farmland increased in summer, spring, and winter, and decreased in autumn. The change in relative soil moisture of farmland was due to a combination of climatic factors, such as precipitation and temperature, as well as topography and glacial meltwater.


2019 ◽  
Vol 11 (5) ◽  
pp. 1360 ◽  
Author(s):  
Fuwen Da ◽  
Xingpeng Chen ◽  
Jinghui Qi

The vegetation response to climatic factors is a hot topic in global change research. With the Support of ArcGIS and ENVI software, six sets of Landsat remote sensing images of the middle and lower reaches of the Shule River Basin were interpreted. Eight types of land use and land covers were obtained and the spatiotemporal characteristics of the land use/land cover changes (LUCCs) were analyzed using an intensity analysis to provide a basis for decision-making on the sustainable development of the basin. In the past 29 years, the area of cropland, construction land and shrubland had a net increase, while high-coverage grassland (HCG), medium-coverage grassland (MCG), low-coverage grassland (LCG), wetland and non-vegetation land all presented a net decrease. The area of artificial vegetation (cropland) presented an expanding trend and increased by 1105.56 km2 in total, while the natural vegetation (grassland, shrubland, wetland) showed a shrinking tendency and decreased by 917.69 km2. The intensity analysis revealed that the rate of LUCC in the period of 2000~2006 and 2006~2010 was relatively higher, although the rate of LUCC in other periods was much lower. The change intensities of MCG and HCG were greatest, followed by LCG, shrubland and wetland. Construction land and cropland were in third place, while non-vegetation land was in last place. The pattern of regional LUCC was generally stable except for cropland loss and the gain/loss change of other land-use/land-cover types was always in an active state. For spatial distribution, few changes were observed in the old irrigated area within the oasis. The LUCC was mainly concentrated in the oasis fringe area, natural vegetation cover area and emigrant arrangement regions.


2016 ◽  
Vol 17 (2) ◽  
pp. 615-636 ◽  
Author(s):  
Harsh L. Shah ◽  
Vimal Mishra

Abstract Real-time streamflow monitoring is essential over the Indian subcontinental river basins, as a large population is affected by floods. Moreover, streamflow monitoring helps in managing water resources in the agriculture-dominated region. In this study, the authors systematically investigated the bias and uncertainty in satellite-based precipitation products [Climate Prediction Center morphing technique (CMORPH); Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN); PERSIANN Climate Data Record (PERSIANN-CDR); and Tropical Rainfall Measuring Mission (TRMM), version 7, real-time (3B42RTV7) and gauge-adjusted (3B42V7) products] over the Indian subcontinental river basins for the period of 2000–13. Moreover, the authors evaluated the influence of bias in the satellite precipitation on real-time streamflow monitoring and flood assessment over the Mahanadi river basin. Results showed that CMORPH and PERSIANN underestimated daily mean precipitation over the majority of the subcontinental river basins. On the other hand, TRMM-3B42RTV7 overestimated daily mean precipitation over most of the river basins in the subcontinent. While gauge-adjusted products of PERSIANN (PERSIANN-CDR) and TRMM (TRMM-3B42V7) performed better than their real-time products, large biases remain in their performance to capture extreme precipitation (both frequency and magnitudes) over the subcontinental basins. Among the real-time precipitation products, TRMM-3B42RTV7 performed better than CMORPH and PERSIANN over the majority of the Indian subcontinental basins. Daily streamflow simulations using the Variable Infiltration Capacity model (VIC) for the Mahanadi river basin showed a better performance by the TRMM-3B42RTV7 product than the other real-time datasets. Moreover, daily streamflow simulations over the Mahanadi river basin showed that bias in real-time precipitation products affects the initial condition and precipitation forcing, which in turn affects flood peak timing and magnitudes.


Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3484
Author(s):  
Upasana Dutta ◽  
Yogesh Kumar Singh ◽  
T. S. Murugesh Prabhu ◽  
Girishchandra Yendargaye ◽  
Rohini Gopinath Kale ◽  
...  

The Indian subcontinent is annually affected by floods that cause profound irreversible damage to crops and livelihoods. With increased incidences of floods and their related catastrophes, the design, development, and deployment of an Early Warning System for Flood Prediction (EWS-FP) for the river basins of India is needed, along with timely dissemination of flood-related information for mitigation of disaster impacts. Accurately drafted and disseminated early warnings/advisories may significantly reduce economic losses incurred due to floods. This study describes the design and development of an EWS-FP using advanced computational tools/methods, viz. HPC, remote sensing, GIS technologies, and open-source tools for the Mahanadi River Basin of India. The flood prediction is based on a robust 2D hydrodynamic model, which solves shallow water equations using the finite volume method. The model is open-source, supports geographic file formats, and is capable of simulating rainfall run-off, river routing, and tidal forcing, simultaneously. The model was tested for a part of the Mahanadi River Basin (Mahanadi Delta, 9225 sq km) with actual and predicted discharge, rainfall, and tide data. The simulated flood inundation spread and stage were compared with SAR data and CWC Observed Gauge data, respectively. The system shows good accuracy and better lead time suitable for flood forecasting in near-real-time.


2019 ◽  
Vol 9 (7) ◽  
Author(s):  
Madavi Venkatesh ◽  
Anshumali

Abstract Morphometric characterization of the Betwa River basin (BRB) in Central India has been carried out to understand the spatial variations in morphometric parameters and evaluate hydrological, geological and topographical characteristics by analyzing SRTM DEM and topographical maps using geographic information system. Based on catchment characteristics and anthropogenic activities, the Betwa River basin and sub-basins were divided into three regions: (a) upstream, (b) midstream and (c) downstreams regions. The BRB comprised a dendritic drainage pattern where the maximum number of the stream was found in the first order. The mean bifurcation ratio (4.61) showed that the drainage pattern was not affected by structural disturbances. The drainage texture analysis showed the dominance of coarse texture, low runoff, low erosional potential, permeable subsurface material, high vegetation cover and low relief. The circularity ratio (0.13) showed an elongated shape of the basin. The > 74.5% of the study area had < 3° slope indicates gentle terrain condition. These results could be utilized in developing watershed management, agricultural land-use planning, forestry management and planning of sustainable industrial facilities.


2014 ◽  
Vol 25 (1-2) ◽  
pp. 61-68 ◽  
Author(s):  
V. I. Monchenko ◽  
L. P. Gaponova ◽  
V. R. Alekseev

Crossbreeding experiments were used to estimate cryptic species in water bodies of Ukraine and Russia because the most useful criterion in species independence is reproductive isolation. The problem of cryptic species in the genus Eucyclops was examined using interpopulation crosses of populations collected from Baltic Sea basin (pond of Strelka river basin) and Black Sea basin (water-reservoires of Dnieper, Dniester and Danube rivers basins). The results of reciprocal crosses in Eucyclops serrulatus-group are shown that E. serrulatus from different populations but from water bodies belonging to the same river basin crossed each others successfully. The interpopulation crosses of E. serrulatus populations collected from different river basins (Dnipro, Danube and Dniester river basins) were sterile. In this group of experiments we assigned evidence of sterility to four categories: 1) incomplete copulation or absence of copulation; 2) nonviable eggs; 3) absence of egg membranes or egg sacs 4) empty egg membranes. These crossbreeding studies suggest the presence of cryptic species in the E. serrulatus inhabiting ecologically different populations in many parts of its range. The same crossbreeding experiments were carries out between Eucyclops serrulatus and morphological similar species – Eucyclops macruroides from Baltic and Black Sea basins. The reciprocal crossings between these two species were sterile. Thus taxonomic heterogeneity among species of genus Eucyclops lower in E. macruroides than in E. serrulatus. The interpopulation crosses of E. macruroides populations collected from distant part of range were fertile. These crossbreeding studies suggest that E. macruroides species complex was evaluated as more stable than E. serrulatus species complex.


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