Vulnerability assessment of the Satluj catchment for sustainable development of hydroelectric projects in the northwestern Himalaya

Kuniyal, Jagdish Chandra; Jamwal, Amit; Kanwar, Nidhi; Chand, Bhim; Kumar, Kireet; Dhyani, P. P.

doi:10.1007/s11629-017-4653-z

Cited by 14 publications

(6 citation statements)

References 36 publications

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“…The upper valley of River Satluj was highly affected because of landslides incidences. These incidences were common in Himalaya's region but here frequency of these incidences were very high, It was evident from the previous study that maximum landslides incidences were occurred because of its fragile topography and haphazard development of hydroelectric projects [3]. The active landslides (Sudha Rang Dakhu, Shongtong, Urni, Tapari) were noticed in the region because of the slope failure incidences [4].…”

Section: Introductionmentioning

confidence: 93%

“…If we reduce the number of hydroelectric projects and develop the minimum equidistance criteria for the upcoming projects, the loss to physical landscape and resentment among the public regarding compensation and others would be minimum. The equidistance strategy can be implement in the River valley to avoid the physical loss the same model we can apply aerial inter distance between the projects where 7 km radius for large hydroelectric project 25 MW, 5 km for medium (5-25 MW) and 3 km should be suggested for small projects in mountain environment [3,7]. Reservoirs / dams and powerhouse sites can be considered for a midpoint of equidistance buffer; however this can be depends on the nature of hydropower projects.…”

Section: Consultation Meetings With the Stakeholdersmentioning

confidence: 99%

“…The resilience of the system is the strategic, technical part of planning where procedures are adopted and suggested to make resilient the system. The indicator ranking based methodology is one of important method to assess the vulnerability of selected region [6]. The cumulative environmental impact assessment methodology was adopted in river valley of western Himalayas region.…”

Section: Introductionmentioning

confidence: 99%

“…The identified problems related to the high number of hydropower's project were found in one river valley without following the any equidistance and buffering of hydro projects. Secondary research also revealed that if we follow the strategy of equidistance and buffers of hydroelectric projects then we can control the physical degradation of landscape [6].…”

Section: Introductionmentioning

confidence: 99%

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Strategically Planning of Hydroelectric Projects for Reduce the Physical Vulnerability of Landscape in Upper Sutlej Valley, Western Himalayas, India

Jamwal¹,

Sharma²

2022

Geographic Information Systems and Applications in Coastal Studies

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Hydropower’s development in the Himalayas region is major concern because area is prone to the geo hazards. The high vulnerability of physical landscape pays attention on the planning of hydropower’s projects. This qualitative empirical research in western Himalayas, present the vulnerability of region and impacts of hydroelectric projects on physical landscape. The IPCC frame work of vulnerability assessment was used to assess the vulnerability in upper Sutlej valley. The indicator based methodology and Geographic information System (GIS) & Remote Sensing (RS) applications were adopted to highlight the impacts and vulnerability. The strategic buffering equal distance analysis was done and this indicates the ignorance of hydropower planning processes. The GIS mapping indicated the excessive development of hydroelectric projects in single river valley and strategic planning emphasizes to follow aerial equidistance between two projects while introducing hydropower projects in the Sutlej valley or any other valleys of the Himalayas region. The suggested strategy shall control the physical, social and economic losses in study region. In addition, this strategy will work as guidelines to develop hydropower projects in other valleys of the Himalaya.

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Section: Introductionmentioning

confidence: 93%

Section: Consultation Meetings With the Stakeholdersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Strategically Planning of Hydroelectric Projects for Reduce the Physical Vulnerability of Landscape in Upper Sutlej Valley, Western Himalayas, India

Jamwal¹,

Sharma²

2022

Geographic Information Systems and Applications in Coastal Studies

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“…The young fold mountains of the Himalayas are one of the most active mountainous regions, which makes them particularly vulnerable to landslides which have significant impact on human social sustainability (Kuniyal et al, 2019). The most frequent means of transportation in hilly areas is road transit, which are at risk in the event of a landslide.…”

Section: Introduction Introduction Introduction Introductionmentioning

confidence: 99%

Landslide susceptibility modelling in a part of Himachal Pradesh, India: An integrated method based on machine learning and geospatial techniques

Mohapatra¹

2023

Nova Geodesia

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Landslides are one of the most destructive natural hazards in the mountainous regions across the globe including the western Himalayas of India. Hence, it is essential to implement mitigation plans, evacuation measures, and an infrastructure plan based on precise, efficient landslide susceptibility models. Current methods of landslide susceptibility mapping are improving constantly, using geospatial techniques to incorporate visual representation of the environment. However, these current methods are often opinion driven, due to lack of consensus on which factors take precedence over others. This study aims to provide a different approach namely a machine learning based approach towards Landslide Susceptibility Mapping, integrating GIS to give an accurate visual representation of the surrounding areas ranked by order of susceptibility in/and around Kullu Valley of western Himalaya, India. The landslide conditioning factors used in the study involve both static and dynamic data such as slope, land use, land cover, and rainfall variables. The research found that although the Extremely Randomised Trees provide a considerably more accurate assessment of the study area’s vulnerability, the Random Forest Regressor has greater overall accuracy. There is a significant relationship between the model’s outputs and past landslides. According to the study, there would be significantly more regions with high susceptibility to the effects of climate change on landslides by 2030. The application can identify the geographical distribution of landscape risk and is significantly less time-consuming than current methods of susceptibility analysis. Machine learning models could be crucial in evacuation efforts and in preventing damage to life and property.

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Vulnerability Assessment of Landslide with the Help of Geospatial Approach in Western Himalayas, Upper Basin of River Sutlej, India

Jamwal¹,

Sharma

2021

Advances in Geographic Information Science

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Vulnerability assessment of the Satluj catchment for sustainable development of hydroelectric projects in the northwestern Himalaya

Cited by 14 publications

References 36 publications

Strategically Planning of Hydroelectric Projects for Reduce the Physical Vulnerability of Landscape in Upper Sutlej Valley, Western Himalayas, India

Strategically Planning of Hydroelectric Projects for Reduce the Physical Vulnerability of Landscape in Upper Sutlej Valley, Western Himalayas, India

Landslide susceptibility modelling in a part of Himachal Pradesh, India: An integrated method based on machine learning and geospatial techniques

Vulnerability Assessment of Landslide with the Help of Geospatial Approach in Western Himalayas, Upper Basin of River Sutlej, India

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