Application of Artificial Neural Network in Master Planning—A Case of Simulating the Land Use and Land Cover Changes in Bhopal

Tiwari, Vidhulekha; Chatterjee, Amit

doi:10.1007/978-981-19-2564-1_2

Cited by 1 publication

(1 citation statement)

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“…Approximately three-fourths of the district is covered with Black cotton soil, while the remaining part is characterized by yellowish-red mixed soil. 14 Notably, the Betwa and Narmada rivers are significant water bodies flowing through Bhopal.…”

Section: Study Areamentioning

confidence: 99%

Mapping of Physicochemical Properties of Groundwater Using QGIS of Bhopal District of Madhya Pradesh, India

Kumar,

Verma

2024

Curr. World Environ

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This study investigates the groundwater quality in the Bhopal district, located in the Madhya Pradesh state of India. The water quality parameters spatial distribution map is created using QGIS Desktop 3.22.16. The research aims to calculate the groundwater suitability for purposes of drinking by collecting 47 samples from various locations within the district. The analysis includes eleven parameters related to groundwater quality, which is pH, Turbidity, Alkalinity, Total Dissolved Solids, Electrical Conductivity, Calcium Hardness, Total Hardness, Magnesium Hardness, Chloride, Sulphate, and Iron. Water Quality Index (WQI) has been computed to classify the ground water quality of the study area. Finally, a correlation matrix has been generated to explore the linear relationships between various water quality parameters, using correlation coefficients (r) as indicators of association. The present study shows that almost 80% of the quality is suitable for drinking, and about 20 % of the quality are under poor quality that needs treatment before consumption and at two locations the quality is very poor that needs urgent treatment.

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Section: Study Areamentioning

confidence: 99%