BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.geoinfo-lab.org//foss4g-asia-2024//AMNZM7
BEGIN:VTIMEZONE
TZID:+07
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:+07
TZOFFSETFROM:+0700
TZOFFSETTO:+0700
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-asia-2024-DWYGFU@talks.geoinfo-lab.org
DTSTART;TZID=+07:20241216T170000
DTEND;TZID=+07:20241216T171500
DESCRIPTION:Reservoirs play a crucial role in global water resource managem
 ent\, hydroelectric power generation\, and flood control. However\, their 
 construction often entails significant ecological and socio-economic impac
 ts\, necessitating thorough environmental assessments. The Mekedatu Reserv
 oir Project\, situated on the Cauvery River in the Ramanagar district of K
 arnataka\, India\, holds paramount significance. Aimed at supplying the Be
 ngaluru Metropolitan Region and its surroundings with drinking water\, the
  project also endeavors to generate 400 MW of renewable energy annually. D
 espite its benefits\, the project comes with ecological costs\, as approxi
 mately 5252.40 hectares of revenue\, forest\, and wildlife land will be su
 bmerged. This necessitates a detailed evaluation of its potential environm
 ental consequences.\n\nThis study identifies a knowledge gap in the existi
 ng literature regarding the ecological implications of the Mekedatu Reserv
 oir Project. It seeks to fill this void by forecasting land use and land c
 over (LULC) changes for the years 2000\, 2010\, and 2020 using the Random 
 Forest method\, and assessing the submergence area for different levels of
  the proposed reservoir. Catchment delineation is performed using the Soil
  and Water Assessment Tool (SWAT). Additionally\, the Cellular Automaton-M
 arkov Chain technique is employed to predict land use and land cover chang
 es for the year 2030. Integrating these methodologies\, the research provi
 des a holistic understanding of the project's environmental footprint.\n\n
 The land use and land cover analysis revealed significant shifts from 2000
  to 2020\, with forest cover decreasing from 71.54% to 60.71% and barren l
 and increasing from 19.55% to 29.56%. The projected land use and land cove
 r for 2030 shows further forest reduction to 58.28% and barren land increa
 sing to 31.11%. These changes highlight a trend towards deforestation and 
 land degradation\, posing severe ecological threats. The submergence area 
 at the proposed reservoir Full Reservoir Level is estimated to be 5252.4 h
 ectares\, distributed as 6.62% water\, 19.55% barren land\, 71.54% forest 
 area\, and 2.29% built-up area for the year 2000. The inundation of these 
 areas will lead to significant biodiversity loss\, affecting numerous plan
 t and animal species.\n\nIn line with Sustainable Development Goals\, whic
 h advocates for sustainable water management\, this study emphasizes the i
 mportance of informed decision-making and sustainable development practice
 s. The findings underscore the need for new ecologically sensitive areas a
 nd the establishment of wildlife corridors\, conservation zones\, and affo
 restation programs to mitigate the adverse impacts. Continuous environment
 al monitoring and research are essential to track biodiversity impacts and
  adjust conservation strategies accordingly.\n\nPolicy implications of thi
 s study suggest that due process of law\, linked with the principle of nat
 ural justice\, must be adhered to in ensuring environmental balance. Recom
 mendations from the World Commission on Dams (WCD) highlight the need to r
 educe the negative impacts of dams by increasing the efficiency of existin
 g assets and minimizing ecosystem impacts. Policymakers must understand th
 e long-term ecological consequences of such mega projects and explore alte
 rnatives. Sustainable development models must be based on equality and nat
 ural justice.\n\nFuture research should focus on the socio-economic impact
 s of the Mekedatu Reservoir Project\, particularly the displacement of loc
 al communities. This includes conducting detailed socio-economic assessmen
 ts\, inclusive resettlement planning\, livelihood restoration programs\, a
 nd initiatives to preserve cultural heritage. Continuous monitoring and lo
 ng-term studies are crucial to ensure the well-being of resettled populati
 ons and to balance development with environmental and social sustainabilit
 y.\n\nIn summary\, this study advances the understanding of environmental 
 impact assessment in reservoir projects\, providing valuable insights for 
 stakeholders and policymakers. It highlights the critical need for sustain
 able development practices that ensure equitable access to water resources
  while preserving environmental integrity.\n\nKeywords: Environmental Impa
 ct Assessment\, Reservoir Project\, Machine Learning\, Random Forest\, Mar
 kov Chain\, Cellular Automaton\, Land Use Changes\, Submergence Area\, Sus
 tainable Development Goals\, Water Resource Management.
DTSTAMP:20260416T195109Z
LOCATION:Room34-1102
SUMMARY:Predictive Analysis of LULC Dynamics for Area Under Submergence and
  its Environmental Impacts for the Mekedatu Reservoir Project - CHANDAN M 
 C\, Pooja K\, Pratham Goudageri\, Vickey Rajendra Hegade\, Prithvi Raj Gow
 da S
URL:https://talks.geoinfo-lab.org/foss4g-asia-2024/talk/DWYGFU/
END:VEVENT
END:VCALENDAR