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2 Acta Geophysica

2 2021

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Recognition of district wise groundwater stress zones using the GLDAS-2 catchment land surface model during lean season in the Indian state of West Bengal

Sahoo Satiprasad, Chakraborty Subha, Pham Quoc Bao, Sharif Ehsan, Sammen Saad Sh., Vojtek Matej, Vojteková Jana, Elkhrachy Ismail, Costache Romulus, Linh Nguyen Thi Thuy

Acta Geophysica

2021

Vol. 69, no. 1

175--198

Water is essential for irrigation, drinking and industrial purposes from global to the regional scale. The groundwater considered a signifcant water resource specifcally in regions where the surface water is not sufcient. Therefore, the research problem is focused on district-wise sustainable groundwater management due to urbanization. The number of impervious surface areas like roofng on built-up areas, concrete and asphalt road surface were increased due to the level of urban development. Thus, these surface areas can inhibit infltration and surface retention by the impact of urbanization because vegeta tion/forest areas are decreased. The present research examines the district-wise spatiotemporal groundwater storage (GWS) changes under terrestrial water storage using the global land data assimilation system-2 (GLDAS-2) catchment land surface model (CLSM) from 2000 to 2014 in West Bengal, India. The objective of the research is mainly focused on the delineation of groundwater stress zones (GWSZs) based on ten biophysical and hydrological factors according to the defciency of groundwater storage using the analytic hierarchy process by the GIS platform. Additionally, the spatiotemporal soil moisture (surface soil moisture, root zone soil moisture, and profle soil moisture) changes for the identifcation of water stress areas using CLSM were studied. Finally, generated results were validated by the observed groundwater level and groundwater recharge data. The sensitivity analysis has been performed for GWSZs mapping due to the defcit of groundwater storage. Three correlation coefcient methods (Kendall, Pearson and Spearman) are applied for the interrelationship between the most signifcant parameters for the generation of GWSZ from sensitivity analysis. The results show that the northeastern (max: 1097.35 mm) and the southern (max: 993.22 mm) parts have high groundwater storage due to higher amount of soil moisture and forest cover compared to other parts of the state. The results also show that the maximum and minimum total annual groundwater recharge shown in Paschim Medinipore [(361,148.51 hectare-meter (ham)] and Howrah (31,510.46 ham) from 2012 to 2013. The generated outcome can create the best sustainable groundwater management practices based upon the human attitude toward risk.

Application of entropy weighting method for urban flood hazard mapping

Malekinezhad Hossein, Sepehri Mehdi, Pham Quoc Bao, Hosseini Seyed Zeynalabedin, Meshram Sarita Gajbhiye, Vojtek Matej, Vojteková Jana

Acta Geophysica

2021

Vol. 69, no. 3

841--854

Flooding is one of the most frequently occurring natural hazards worldwide. Mapping and assessment of possible flood hazards are critical components of the evaluation and mitigation of flood risk. In this study, six flood-related indices, i.e., slope, elevation, distance to discharge channel, runof volume, street-drainage network intersection, index of the development and persistence of the drainage network (IDPR), were used to assess the flood hazard. The entropy weighting method was used for assigning the weights to flood-related indices and combining them to prepare urban food hazard mapping in Hamadan city. The produced map showed that nearly 20% of the study area (14.7 km2 ) corresponded to very high susceptibility to flooding, 19.4% (143 km2 ) to high susceptibility and 20.3%, 20.7% and 19.6% regard the moderate, low and very low susceptibility to flooding, respectively. Finally, two methods were used to evaluate the accuracy of the produced food susceptibility map. The frst method is related to assessing the behavior of the map by making and propagating error in foodrelated indices and used model (entropy weighting method), and the second method is superimposing method. The results showed that by making and propagation of error, the behavior of producing food susceptibility mapping, the produced map has a robust behavior either in ranking importance of flood-related indices and percentage of food susceptibility areas. On the other hand, regarding the result of the superimposing method, the accuracy of the flood susceptibility map was 72%, which also suggests an acceptable result.