Nuapada is one of the most drought-affected and fluoride-contaminated districts in Odisha, India. The presence of various dissolved substances, evapotranspiration, and lowering water table during pre- and post-monsoon (PRM and POM) seasons are responsible for declining groundwater (GW) quality over the Nuapada region. To comprehend the contaminated GW zones over the Nuapada and Komna blocks of the northern Nuapada district during the seasons, integration of hydrogeochemistry and statistical approaches using GW sample data on a geospatial platform have been done. The analysis exhibits that the major source of groundwater contamination is mostly geogenic with little anthropogenic impact. The cumulative impact of fluoride (F⁻), iron (Fe²⁺), and nitrate (NO₃⁻) contents are noticed in great-depth zones of the water table in the north and south parts of Nuapada and Komna blocks, respectively. The dominant hydro facies, such as Na-Cl (41.77%) and Ca-Cl (25.31%) types exist over both blocks during PRM and POM seasons, respectively. Demarcation of contaminant and susceptible zones over the study area using geospatial analysis and groundwater quality indices (GWQI) were done. About 3% of the total area, in the north and middle parts of the Nuapada and Komna blocks, falls under contamination zones and is unfit for drinking purposes, and about 35% of the region is susceptible to future contamination. The outcome of the result analysis will enhance the scope for researchers, policymakers, and water managers to regulate emerging health, agricultural, and industrial issues in the stressed aquifer system in India and the world.

努帕达是印度奥里萨邦受干旱影响和氟化物污染最严重的地区之一。季风前后（PRM 和 POM）季节期间各种溶解物质、蒸散和地下水位下降是导致努帕达地区地下水（GW）质量下降的原因。为了了解努帕达地区北部努帕达和科姆纳区块在不同季节的受污染的 GW 区域，利用地理空间平台上的 GW 样本数据整合了水文地球化学和统计方法。分析表明，地下水污染的主要来源主要是地质原因，人为影响很小。^{氟化物（F -}）、铁（Fe ²⁺）和硝酸盐（NO₃ ^{- ）含量}的累积影响分别在努帕达和科姆纳区块北部和南部的地下水位深部区域观察到。PRM 和 POM 季节，这两个区块分别存在 Na-Cl (41.77%) 和 Ca-Cl (25.31%) 类型的主导水相。使用地理空间分析和地下水质量指数（GWQI）对研究区域的污染物和易受影响区域进行了划分。努帕达和科姆纳区块的北部和中部约占总面积的 3% 属于污染区，不适合饮用，而且该地区约 35% 的地区容易受到未来污染。结果分析的结果将扩大研究人员、政策制定者和水资源管理者的范围，以规范印度和世界受压含水层系统中新出现的健康、农业和工业问题。