Hydrogeomorphic assessment of badlands in part of the Mandakini River watershed, Chitrakoot, India

被引:11
|
作者
Singh, Nikhilesh [1 ]
Maddheshiya, Sandeep Kumar [1 ]
Jha, Medha [1 ]
Tignath, Sanjay [2 ]
Singh, Bhola Nath [1 ]
机构
[1] Banaras Hindu Univ, Indian Inst Technol, Dept Civil Engn, Varanasi 221005, Uttar Pradesh, India
[2] Govt Sci Coll, Dept Geol, Jabalpur, MP, India
关键词
Badlands; Pearson's correlation coefficient; Dendrogram clustering; GIS; EROSION; SOIL; EVOLUTION; AREA; PATTERNS; RAVINES; PLAIN;
D O I
10.1007/s12517-020-06041-y
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Badlands are a hydrogeomorphological feature with operative processes leading to intense erosion. This study utilizes the morphometric methods with the help of remote sensing data in a GIS environment to determine the characteristics of the badlands of Mandakini River watershed and their interpretation to explore the factors responsible for the formation of the typical landforms. Objective interpretation of morphometric data of badlands with the help of statistical Pearson's correlation coefficient (PCC) and dendrogram cluster may be made to emphasize the controlling factors. The morphometric parameters like the total number of streams (Nu), bifurcation ratio (Rb), drainage density (Dd), drainage frequency (Fs), drainage texture (Dt), and infiltration number (If) and their correlation in the study area plays a significant role in the advancement of rills and gullies. In the present area, the total number of streams (Nu) is very significantly related with the lengths of the first-order (L1), the second-order (L2), and the third-order streams (L3) along with the total stream length of all orders (Lu) in the third-order and the fourth-order sub-watersheds. Bifurcation ratio (Rb) is strongly correlated with L1, L2, L3, L4, and drainage texture (Dt) in the fourth-order sub-watershed. These correlations insinuate a tectonic influence in the basin and show an ultrafine drainage texture that ultimately forms badland topography. The relation between Dd-Lg-C-If-Rn produces a self-enhancing system of badland development, which promotes erosion in the area under study. These correlations provide a well-figured observation of the sub-watershed that, due to the increase in infiltration number (If), the drainage density (Dd) also increases, which leads to enhancement of channel cutting and erosion rates (low Lg and C value). This correlation coefficient of Rn is moderately low, indicating a single storey type of badlands. The badlands seem to have formed owing to setting up of self-enhancing erosive system on paleo wetlands, as evidenced by the presence of calcretes. Calcretes have been related to the presence of wetlands' conditions. These have been related to fall in water levels, therefore, indicating much higher water levels nearly close to ground surfaces before setting up badlands conditions. Thus, the badlands which have shallow calcretes horizons can be said to have been wetlands in the past.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Hydrogeomorphic assessment of badlands in part of the Mandakini River watershed, Chitrakoot, India
    Nikhilesh Singh
    Sandeep Kumar Maddheshiya
    Medha Jha
    Sanjay Tignath
    Bhola Nath Singh
    [J]. Arabian Journal of Geosciences, 2020, 13
  • [2] Evaluation of neotectonic signatures and sequencing of morphotectonic events in the badlands of the Mandakini River watershed, Chitrakoot, India
    Nikhilesh Singh
    Medha Jha
    Sanjay Tignath
    Bhola Nath Singh
    Sandeep Kumar Maddheshiya
    [J]. Environmental Earth Sciences, 2021, 80
  • [3] Evaluation of neotectonic signatures and sequencing of morphotectonic events in the badlands of the Mandakini River watershed, Chitrakoot, India
    Singh, Nikhilesh
    Jha, Medha
    Tignath, Sanjay
    Singh, Bhola Nath
    Maddheshiya, Sandeep Kumar
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2021, 80 (12)
  • [4] Morphometric analysis of a badland affected portion of the Mandakini River sub-watershed, central India
    Singh, Nikhilesh
    Jha, Medha
    Tignath, Sanjay
    Singh, Bhola Nath
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (11)
  • [5] Morphometric analysis of a badland affected portion of the Mandakini River sub-watershed, central India
    Nikhilesh Singh
    Medha Jha
    Sanjay Tignath
    Bhola Nath Singh
    [J]. Arabian Journal of Geosciences, 2020, 13
  • [6] Role of physico-chemical properties of the soil in badlands forming processes around Chitrakoot, India
    Singh, Nikhilesh
    Jha, Medha
    Tignath, Sanjay
    Singh, Bhola Nath
    Chattopadhyay, Arghya
    [J]. LAND DEGRADATION & DEVELOPMENT, 2022, 33 (05) : 739 - 755
  • [7] Prioritization of sub-watershed using geospatial techniques and WSPM model in Mandakini River basin, Uttarakhand, India
    Bohat, Neeraj
    Joshi, Varun
    [J]. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY, 2024, : 1038 - 1048
  • [8] Evaluation of morphometric characteristics of Mandakini River watershed, Uttarakhand, India using cartosat-DEM in GIS environment
    Bohat, Neeraj
    Joshi, Varun
    [J]. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY, 2024, 90 (01): : 91 - 101
  • [9] Evaluation of morphometric characteristics of Mandakini River watershed, Uttarakhand, India using cartosat-DEM in GIS environment
    Neeraj Bohat
    Varun Joshi
    [J]. Proceedings of the Indian National Science Academy, 2024, 90 : 91 - 101
  • [10] Influence of water quality on the diversity of macroinvertebrates in the Mandakini River in India
    Kumar, Rahul
    Kumari, Rama
    Prasad, Chandi
    Deep, Akash
    Singh, Neetu
    Namtak, Stanzin
    Tiwari, Vijayta
    Merugu, Ramchander
    Mohapatra, Swati
    Singh, Ravindra
    [J]. WATER SUPPLY, 2021, 21 (04) : 1843 - 1860