Karnataka Current Affairs of 6th June, 2025
- Mohammed Yunus
- Jun 6
- 11 min read
Updated: Jun 13

GS II: Governance Issues - Recent Stampede in Bengaluru and Issues Involved
I. Governance and Administrative Failures
Violation of Permission Protocol
Keyword: Unauthorised Event
The RCB management and KSCA proceeded with the event at Chinnaswamy Stadium despite explicit denial of police permission. The announcement was made on social media without official clearance, triggering mass mobilisation. This violated standard procedures for public event regulation.
Inadequate Crowd Risk Assessment
Keyword: Crowd Mismanagement
Despite deploying 1,318 police personnel (a 67% increase over usual match days), the force was insufficient for a crowd estimated at 2.5 lakh. Stadium capacity is only 32,000. This massive gap in expectation versus reality indicated failure in crowd forecasting and contingency planning.
Absence of Senior Officials
Keyword: Leadership Vacuum
The senior police officer responsible for stadium security was not present at the venue during the crisis. This led to a delay in crisis decision-making such as crowd dispersal or lathi-charge to control the mob.
Lack of Inter-agency Coordination
Keyword: Institutional Disconnect
The State government authorised an event at Vidhana Soudha, while KSCA hosted another at the stadium. No integrated planning between departments (Police, KSCA, State Secretariat) caused confusion and delayed response.
Ineffective Barricading and Zoning
Keyword: Failure of Physical Infrastructure
Crowds from Vidhana Soudha merged with those at the stadium. Lack of barricades and zonal separation facilitated overcrowding and made movement uncontrollable.
No Accountability for Commercial Organisers
Keyword: Corporate Impunity
RCB, a commercial IPL franchise, triggered a mass gathering through unilateral announcements without coordinating with authorities. No pre-emptive or punitive framework exists to hold such entities accountable for public disorder.
II. Recommendations for the Future
A. Legal and Policy Measures
Mandatory Police Clearance before Mass Announcements
Keyword: Pre-event Regulation
No sporting body or private organisation should announce any large-scale public event (crowd >10,000) without official police clearance.
Penal Provisions for Violations
Keyword: Criminal Accountability
IPC Sections (e.g., 304A – causing death by negligence, 336 – endangering life or personal safety) should be invoked where public safety norms are breached. Also invoke Disaster Management Act, 2005, for accountability in large-scale crowd incidents.
Event Safety Certification
Inspired by the UK’s Safety of Sports Grounds Act (1975). State authorities must issue clearance after checking crowd management plans, infrastructure readiness, and inter-agency preparedness.
B. Administrative and Operational Reforms
Unified Command and Control
Keyword: Single-Point Authority
Appoint an Event Incident Commander for major gatherings, coordinating police, disaster response, and health departments.
Dynamic Crowd Estimation Using Technology
Keyword: Smart Surveillance
Use AI-enabled surveillance, mobile signal analysis, and drones to monitor crowd density in real-time.
Zoning and Barricading Protocol
Keyword: Movement Control
Clearly mark entry/exit points, create overflow holding zones, and prevent crowd merging with barricades and route diversions.
Clear communication, effective policing and proper advance notice
C. Structural and Cultural Changes
Public Awareness Campaigns
Keyword: Crowd Discipline
Mass awareness drives to educate citizens on crowd behaviour, safety protocols, and avoiding overcrowded areas.
Code of Conduct for Franchises and Celebrities
Keyword: Responsible Messaging
Establish a regulatory framework where sports franchises must adhere to public safety laws and be penalised for unsanctioned mass mobilisation.
III. Relevant Committee Recommendations
Committee/Report | Key Recommendation Relevant to This Incident |
Justice Usha Mehra Committee (2013) | Recommended centralised authority and inter-agency coordination for large public events. |
NDMA Guidelines on Crowd Management (2014) | Emphasised risk analysis, mock drills, clear evacuation plans, and proper barricading. |
Mukherjee Committee (2006) | Recommended accountability for officials, use of zoning techniques, and deployment based on crowd forecasts in religious gatherings. |
BOOT (Build-Own-Operate-Transfer) Model – Basic Features
The BOOT model is a type of Public-Private Partnership (PPP) where a private entity builds, owns, and operates a project for a defined period before transferring it to the government.
Key Features:
Build: The private party constructs the infrastructure project using its own capital or borrowed funds.
Own: The private party has ownership rights over the asset during the concession period.
Operate: The private entity manages and maintains the project, recovers investment through user charges, toll, or annuity payments.
Transfer: After the concession period (say 20–30 years), the asset is transferred back to the government, usually free of cost and in good condition.
Example: Recently Karnataka Cabinet cleared a proposal to implement a ₹17,780-crore tunnel road project from Hebbal to Silk Board in Bengaluru under the BOOT (Build-Own-Operate-Transfer) model.
II. Other Infrastructure Development Models
Model | Full Form | Key Features | Ownership & Transfer |
BOT | Build-Operate-Transfer | Private builds and operates; ownership lies with govt | No ownership by private player; transfer is built-in |
BOO | Build-Own-Operate | Private builds, owns and operates indefinitely | No transfer; ownership stays with private entity |
DBFOT | Design-Build-Finance-Operate-Transfer | Comprehensive version of BOT; private designs, builds, finances, operates and transfers | Ownership during concession; asset handed over later |
EPC | Engineering-Procurement-Construction | Govt funds the project; private does design and construction only | Govt retains full ownership; no operations by private |
HAM | Hybrid Annuity Model | Govt pays 40% during construction; 60% paid as annuity during operation | Ownership with govt; O&M done by private party |
OMT | Operate-Maintain-Transfer | Govt builds; private only operates and maintains | No construction risk; transfer after O&M period |
BOOT (again) | Build-Own-Operate-Transfer | Private builds, owns, operates, and later transfers to govt | Ownership for fixed time; transferred after recovery |
III. Summary of Key Distinctions
Aspect | BOT | BOOT | BOO | HAM | EPC |
Private funds project | Yes | Yes | Yes | Partly | No |
Owns the asset | No | Yes (temporarily) | Yes | No | No |
Transfer to govt | Yes | Yes | No | Yes | Not applicable |
Govt bears financial risk | No | No | No | Partly | Yes |
Best suited for | Roads, Ports | Power Plants | Telecom | Roads | Govt-funded infra |
GS II - Geography and GS III - Agriculture and Climate Change
Issue - How changing monsoon patterns altering farming timelines and yields in Malnad Region (Source - The Hindu)
A. Rain Data
Southwest Monsoon arrived in Kerala on May 24, 2024, a week earlier than normal — earliest in 16 years (since 2009).
Karnataka's Pre-Monsoon Rainfall (March 1 – May 31, 2024):
Actual rainfall: 286 mm
Normal rainfall: 115 mm
Excess: +148% (highest since 1901)
Rainfall in May alone:
Actual: 219 mm
Normal: 74 mm
Departure: +197%
Malnad region (Shivamogga, Hassan, Chikkamagaluru, Kodagu):
Actual: 443 mm
Normal: 163 mm
Excess: +172%
B. Issues Faced by Different Crops and Reasons
Maize
Problem: Mechanised harvesting failed due to early rain; crops had high moisture.
Impact: Lower market price (~₹2,300 per quintal) and yield loss of up to 5 quintals per farmer.
Reason: High moisture content and inability to dry or store crops under cloudy weather.
Paddy
Problem: Fields waterlogged before harvest.
Impact: Grains rotted in the field, resulting in complete yield loss in some cases.
Reason: Sudden, intense rainfall at the harvesting stage.
Arecanut
Problem: Increased incidence of Yellow Leaf Disease (YLD), leaf spot, and fruit rot.
Impact: Severe loss in yield, especially in high-rainfall areas like Shivamogga.
Reason: Excess moisture creates conditions conducive to fungal and bacterial diseases. Less impact in drier districts like Davangere and Chitradurga.
Coffee
Problems:
- Pruning and fertilisation delayed.
- "Wet feet" condition: roots unable to absorb nutrients due to waterlogging.
- Pinhead drop — early-stage coffee berries fall off.
- Labour shortage as workers migrated when operations paused due to rain.
Impact: Disruption of crop cycle; reduced yield and delayed berry development.
Reason: Heavy rains during key operations; loss of timing and workforce.
C. Causes
Climate change and variability:
- Unpredictable monsoon patterns.
- Shifting rainfall timelines (early onset, excess rain).
- Droughts and floods occurring within short time frames.
Global emissions and inaction:
- Developed nations continue to emit CO₂.
- Vulnerable farming communities in poorer countries bear the brunt.
Misaligned agricultural calendars:
Farmers forced to abandon traditional sowing, fertilising, and harvesting schedules.
Labour disruptions:
Safety concerns and delays pushed workers to leave, disrupting crop operations.
D. Way Forward
Localized climate advisories:
Provide real-time, region-specific weather alerts to guide farm activities.
Drainage and disease management:
Improve field drainage in plantations to reduce fungal infections. Develop and promote disease-resistant varieties (e.g., for YLD in arecanut).
Adjust farming calendars:
Revise crop calendars based on emerging climate patterns. Start adaptive planning at the community level.
Labour and input security:
Ensure continuous availability of farm labour during weather interruptions. Enhance crop insurance to cover climate-related risks.
Global climate responsibility:
Developed nations must support mitigation and adaptation in vulnerable regions.
Promote Karnataka’s environmentally responsible practices:
- Growing coffee under natural forest canopy.
- High organic matter in soil.
- Rainwater harvesting.
PlantWise: A Tool for Ecological Restoration in the Western Ghats
Interactive web tool developed to assist ecologists, restoration practitioners, and forest managers in choosing native evergreen tree species best suited for ecological restoration in the Western Ghats.
Suggests site-specific evergreen species based on:
Climatic profile
Elevational data
Aids in scientifically guided recovery of degraded evergreen forests. Help in selecting native and ecologically appropriate species.
Developed by: Nature Conservation Foundation (NCF), BITS Pilani – Hyderabad campus, Thackeray Wildlife Foundation, In partnership with Ecological Restoration Alliance.
Which of the following best reflects the underlying philosophy of the PlantWise tool with regard to species selection for ecological restoration in the Western Ghats?
A) Promotion of fast-growing, climate-resilient exotic species to accelerate canopy recovery.
B) Introduction of globally distributed species with proven economic benefits for local livelihoods.
C) Recommendation of tree species based on aesthetic appeal and ease of transplantation across varied regions.
D) Prioritization of native evergreen species specifically suited to local ecological conditions and biogeographic zones.
Answer: D) Prioritization of native evergreen species specifically suited to local ecological conditions and biogeographic zones.
Explanation: PlantWise is designed to recommend native species that naturally occur in a given site, rather than exotic or alien species that may harm ecological balance. It emphasizes scientifically guided, biogeographically appropriate restoration.
Which of the following institutions was not directly involved in the development of the PlantWise tool?
A) Nature Conservation Foundation
B) BITS Pilani – Hyderabad Campus
C) Wildlife Institute of India
D) Thackeray Wildlife Foundation
Answer: C) Wildlife Institute of India
Explanation: The PlantWise tool was developed by Nature Conservation Foundation, BITS Pilani – Hyderabad campus, and Thackeray Wildlife Foundation. Wildlife Institute of India was not mentioned as a partner.
The PlantWise tool primarily supports restoration of which type of forest ecosystem in the Western Ghats?
A) Deciduous forests
B) Evergreen forests
C) Mangrove forests
D) Dry thorn forests
Answer: B) Evergreen forests
Explanation: PlantWise focuses on identifying native evergreen tree species, which are crucial for restoring evergreen forest ecosystems in the Western Ghats.
Which data science technique is used by PlantWise to predict suitable tree species for a given site?
A) Time series analysis
B) Regression trees
C) Species Distribution Models (SDMs)
D) Neural networks
Answer: C) Species Distribution Models (SDMs)
Explanation: PlantWise uses species distribution models, which incorporate environmental variables and occurrence data to suggest appropriate native tree species.
Which of the following statements about PlantWise is correct?
A) It recommends tree species based on visual appearance.
B) It uses artificial intelligence trained on satellite imagery.
C) It is designed to minimise commission errors in species recommendation.
D) It is meant only for academic research, not field use.
Answer: C) It is designed to minimise commission errors in species recommendation.
Explanation: PlantWise aims to reduce commission errors, ensuring that species are not wrongly suggested for areas where they do not naturally occur.
Over what percentage of evergreen tree species in the Western Ghats are endemic to the region, making localised restoration essential?
A) 30%
B) 45%
C) 60%
D) 75%
Answer: C) 60%
Explanation: More than 60% of evergreen tree species in the Western Ghats are endemic, which is why the PlantWise tool focuses on site-specific and native restoration.
Inter-District Water Issues - Hemavathi Branch Canal Project
What is Hemavathi Branch Canal Project?
The project aims to supply Hemavathi water to Kunigal Taluk in Tumakuru district.
240-km-long
Runs from Channarayapatna in Hasan to Kunigal in Tumakuru
To supply drinking water to drought affected Kunigal Taluk in Tumakuru.
What is Hemavathi Express Link Canal Project or Kunigal Express Link Canal or Sriranga Drinking Water Project?
Aims to address drinking water shortages in Magadi (Bengaluru South, formerly Ramanagara district) by channeling water from the Hemavathi River to Sriranga Lake in Magadi.
₹1,000-crore project entails taking water from the nearly 240-km-long Tumakuru branch canal (that runs from Channarayapatna to Kunigal) at the 70-km mark and bringing it to the same canal at the 165-km mark through a 34.5 km underground pipeline.
Currently, Kunigal gets water from the Tumakuru branch canal after it meanders through Gubbi, Turuvekere, Tumakuru Rural, and Tumakuru. The express canal project cuts the distance by about 60 km.
83 lakes in Magadi taluk will be filled using this water (0.67 tmcft of water) for drinking water and rejuvenation of ground water
Controversy - .
Farmers in Tumakuru are protesting as they believe that due to diversion of water from Tumakuru branch canal to Magadi Taluk in Ramanagara, Kunigal and other villages in Tumakuru will get less water.
Actual Facts:
As per The Hindu, 25.3 tmcft of Hemavathi is supposed to be distributed among 14 taluks across Tumakuru, Mandya, Hassan, Chikkamagaluru, Chitradurga, and the erstwhile Ramanagara districts through the Tumakuru branch canal.
Magadi is one of the beneficiary taluks proposed to receive 0.67 tmcft or about 2.64% of the total allocation in the Tumakuru branch canal for drinking water purposes. Of the total, 6.8 tmcft has been earmarked for drinking water schemes.
Committee: The committee that recommended the supply of water to Kunigal through the Hemavathi Express Link Canal Project was a technical committee formed on July 3, 2024, and led by retired engineer Arvind D. Kanagile.
Karnataka State Launches District Officers’ Upskilling Initiative with Infosys
For: district-level officers
Why? To improve problem solving skills of grassroots workers. How to effectively implement state and central plans in the district. How to formulate district plans.
Bengaluru is Now the Leopard Capital of India 🐆
Survey Overview
Conducted by: Holématthi Nature Foundation (HNF)
Lead Researcher: Sanjay Gubbi
Duration: One-year camera trap survey
Area covered: 282 sq km
Method: Over 250 camera traps deployed in: Bannerghatta National Park (BNP), Turahalli, Turahalli Gudda, B.M. Kaval, U.M. Kaval, Roerich Estate, Gollahalli Gudda, Sulikere, Hesaraghatta, Marasandra, Manduru, etc. around Bengaluru.
Findings
Estimated 80–85 wild leopards in Bengaluru's fringes.
54 leopards inside BNP
~30 leopards outside BNP in reserved, deemed, and private forests
Bengaluru has now surpassed Mumbai’s 54 leopards, becoming the metro with the highest number of free-ranging big cats
Total 34 mammal species photo-captured:
- 4 Endangered, 4 Near Threatened (IUCN Red List)
- 22 species under Schedule I, 5 under Schedule II of Wildlife (Protection) Act, 1972
As per the 2025 HNF survey, which metro city in India has the highest population of free-ranging big cats?
A) Mumbai
B) Bengaluru
C) Pune
D) Hyderabad
Answer: B) Bengaluru
Explanation: Bengaluru has 80–85 wild leopards, surpassing Mumbai’s 54.
How many leopards were documented in Bannerghatta National Park (BNP) during the 2025 survey?
A) 47
B) 40
C) 30
D) 54
Answer: D) 54
Explanation: 54 leopards were photographed inside BNP.
What is the primary conservation concern regarding the translocation of leopards into BNP as per HNF’s recommendations?
A) It disrupts tourism
B) It causes deforestation
C) It increases conflict within BNP and avoids addressing source problems
D) It reduces prey species inside BNP
Answer: C) It increases conflict within BNP and avoids addressing source problems
Explanation: HNF recommends halting leopard translocation into BNP and addressing human-leopard conflict at source sites.
Basics of Caste Census 📜
History of Caste Census in India
🏛️ 1. Under British Rule
Year | Key Points |
1871 | The first census of British India attempted to classify people based on caste, tribe, religion, and occupation. |
1881 to 1931 | Each decennial census from 1881 to 1931 systematically enumerated caste and sub-caste data. These censuses were used to develop colonial ethnographic theories (like the concept of “Martial Races”). |
1931 | Last census to include full caste enumeration (including OBCs and all other castes). Headed by J.H. Hutton, it collected detailed caste-wise population data. This data still influences policy today. |
1941 | Due to World War II, caste data was not collected properly and was never fully published. |
🇮🇳 2. Post-Independence (1951 Onwards)
Year | Status of Caste Enumeration |
1951 onwards | Caste enumeration discontinued in the regular census (except for Scheduled Castes and Scheduled Tribes). |
SC/ST data | Collected in every census from 1951 onwards, as per Articles 341 & 342 of the Constitution. |
OBCs and others | Not counted in any regular census since 1951. |
Rationale | The government believed caste enumeration would reinforce caste identities and complicate data processing in a newly independent, secular republic. |
3. Socio-Economic and Caste Census (SECC), 2011
Aspect | Details |
Conducted by | Jointly by the Ministry of Rural Development and the Ministry of Housing and Urban Poverty Alleviation (not Registrar General of India) |
Components | 3 parts: Rural (by MoRD), Urban (by MoHUPA), Caste data (by Ministry of Home Affairs) |
Objective | Identify socio-economic status of households, especially for welfare schemes |
Result | Data on socio-economic conditions released, but caste data not released due to inconsistencies and classification issues. |
Controversy | The caste data had over 40 lakh castes/sub-castes, with major classification anomalies, making it unfit for policy use. |
4. Current Status and Future Plans
Year | Update |
2021 Census | Scheduled to include caste data, but delayed due to COVID-19. |
2023–2024 | Several states (e.g., Karnataka, Bihar, Odisha, Jharkhand) began conducting their own caste surveys. |
April 2026–March 2027 | The next national Census will include caste enumeration for the first time since 1931, as per recent announcements. |




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