Mapping of Mosquito Breeding Areas with Risk Levels using Decision Rules for Guntur Urban, Andhra Pradesh Based on Land use Parameters
Chinnam Yuvaraju1, Murali Krishna K. V. S. G.2, Iyyanki V. Murali Krishna3
1Chinnam Yuvaraju*, Research Scholar, School of Spatial Information Technology, JNTUK, Kakinada, Andhra Pradesh, India.
2Dr. Murali Krishna K. V. S. G., Professor & Director, Green Campus Initiatives, JNTUK. Kakinada, Andhra Pradesh, India.
3Dr. Iyyanki V. Murali Krishna, Professor of Spatial Information Technology (Rtd.) former R&D Director JNTUH, Hyderabad., former Dr. Raja Ramanna Distinguished fellow., Kakinada, Andhra Pradesh, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 26, 2020. | Manuscript published on March 10, 2020. | PP: 2161-2167 | Volume-9 Issue-5, March 2020. | Retrieval Number: E3035039520/2020©BEIESP | DOI: 10.35940/ijitee.E3035.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Dengue is one of the prevalent diseases present even in this technology-driven society, diseases that are rampant in earlier as prevalent diseases are compromised can address through the latest research. Dengue is mainly caused due to Aedes Ageypti mosquito mostly breeds around the houses of the residents precisely with improper storage of water and ill-conditioned places that enhance the ability of the mosquito to maintain high breeding rate and prevail the disease. This study utilizes the land use/cover (LULC) application to develop the decision rules using Boolean overlay operations that can generate the risk maps using on the factors Dense Vegetation, Sparse Vegetation, Water bodies and urban area cover . These risk factors are generated using polygon overlay and further categorized into high-risk, moderate, and low risk depending upon the vulnerability of the region. The study is conducted in the Guntur Urban of state Andhra Pradesh, wherein the LULC scenarios are investigated by using Google earth imagery  for Guntur urban, Andhra Pradesh.
Keywords: Dengue, Overlay, Decision rules, LULC, risk, Boolean, and GI
Scope of the Article: Decision making