In continuation to tender for Data Collection and Associated Survey Work, the National High Speed Rail Corporation Ltd. (NHSRCL) has now invited online open e-tenders for the work Final Alignment design including Aerial LiDAR survey and other related works for Delhi-Ahmedabad High Speed Rail Corridor (about 886 kms. long).
- Contract Package No.: NHSRCL/CO/CA/LIDAR/2020/19
- Approximate cost of work: INR 19.17 Crores
- Tender Security: INR 15,50,000
- Completion period of the Work: 150 days
- Tender submission start date: 22.09.2020
- Tender submission end date: 28.09.2020
- Place of pre-bid meeting: Online
Scope of work:
1. Scope for Final Alignment Report : Detailed Final Location Survey and Studies with final alignment design:
The contractor shall further refine the alignment in the selected alignment corridor by undertaking a detailed Final Location Survey using Aerial LiDAR technology along with establishment of Ground Control Network, Pillar fixing, Hydrological Survey (wherever required) and final alignment design (horizontal as well as vertical). For doing this, the contractor shall undertake the following:
2. Aerial LiDAR & Imagery Survey:
The contractor will undertake Aerial LiDAR Survey complemented by Aerial Imagery in a corridor width of 300 m (150 m on either side) around the proposed alignment.
Detailed Specifications are provided in TOR and Broadly the work will involve the following:
- Collection & paper study of existing alignment reports, data, drawing, documents, ground control points etc.
- Ground Control Survey to be undertaken as follows:
- Carrying out reconnaissance survey of the project area for identifying the Control Points locations for carrying out DGPS survey and preparing a plan of a grid network of Control Points on SOI topo-sheets/satellite imagery.
- Survey of India Benchmarks to be located during the above reconnaissance survey. These benchmarks shall be tested for stability and the same shall be reported to the client. The entire horizontal and vertical control shall be linked to the approved stable Benchmarks for conversion of LiDAR data to MSL.
- Master Control Network comprising of interconnected triangles (with baseline of about 25km) to be established for overall horizontal control with approx. 25 km baseline length throughout the alignment. Secondary Control Network comprising of interconnected triangles weaved with Master control network to be established with a baseline length of approx. 3-5 km throughout the alignment. Target LiDAR points to be established at an interval of approx. 5 km within the final alignment. To densify Horizontal Control Network, the GNSS triangulation method should be adopted and processing of data for network adjustment should be done to achieve an accuracy of at least 1:100,000 in horizontal.
- Establishment of vertical control referenced to SoI MSL Permanent Benchmarks to be undertaken by double tertiary leveling along the entire route by connecting target points. The threshold limit for levelling loop closure accuracy should be 12√K mm, where K is circuit length in km.
- Monumentation of Master and Secondary Control Points shall be undertaken if required in consultation with client
- Applying to DGCA/Ministry of Defence for flying permissions as per DGCA guidelines and procedures along with adherence to all security stipulations issued by Ministry of Defence in the issue of the permit. NHSRCL will provide the necessary support.
- The contractor will mobilize an aircraft/helicopter to site fitted with state of art Aerial LiDAR and Imagery sensors (equipment as per minimum specification mentioned in Annexure 3) after due security inspection as per MoD stipulations.
- Preparation of flight plan for the Area of Interest.
- Acquiring and pre-processing LiDAR data and digital imagery with LiDAR collected at a point density of 10 points per sq m with FHA (Fundamental Horizontal Accuracy) of 10 cm and FVA (Fundamental Vertical Accuracy) of 10 cm both at 95% confidence interval level. Imagery is to be taken at a resolution of 10 cm GSD.
- Pre-processing data to be referenced to MSL with SoI permanent benchmarks.
- Ground survey/Hydrological survey using traditional methods such as Echo Sounders etc along areas such as river crossings etc where Aerial LiDAR data needs to be complemented.
- Conducting Quality Control/Quality Assurance (QC/QA) to establish correctness of flight operations.
- Validating horizontal and vertical accuracy through independent means.
- Compliance with other product requirements such as file naming, datum and projection, units, etc.
- Delivery of raw data, other products and supporting reports.
- Contractor may have to process data 50 m on either side of alignment, which will be done from Aerial LiDAR data captured on either side of alignment. All outputs for additional area also to be provided.
- NHSRCL will render assistance to the contractor, if deemed necessary, in obtaining the relevant permissions from various Government agencies like DGCA, MoD, CWC, GSI, SOI etc. as per the request of the Contractor, by way of forwarding request letters etc.
- Contractor has to abide by all security stipulations specified by the Ministry of Defence/Survey of India including clearance of the personnel working on this data by MHA/IB.
For Delhi-Ahmedabad High Speed Rail corridor, NHSRCL has so far invited tenders for the following other contract Packages:
- NHSRCL/CO/CA/DATA/2020/23: Data Collection and Associated Survey Work for DPR of Delhi Ahmedabad HSR Corridor.
- NHSRCL/CO/CA/GAD/2020/22: Preparation of General Arrangement Drawings (GADs) of Crossing Bridges over Rivers/Canals/Railways/Roads (Expressway, NH & SH and Major District Roads) and GADs of proposed Stations and Maintenance Depots for Detailed Project Report (DPR) of Delhi-Ahmedabad HSR Corridor.
- NHSRCL/CO/CA/TRAFFIC/2020/26: Carrying Out Ridership Study (Traffic Study) For Delhi – Jaipur – Udaipur – Ahmedabad Hsr Corridor (About 886 Kms Long).
Tender documents may be downloaded from CPPP site https://etenders.gov.in/eprocure/app.
Source: NHSRCL-Tender | Image Credit (representational): NHSRCL
