Digital Commons Network^™

A Software System Proposing The Processing Of Crowdsourced Data To Monitor A Flood Event: An A.I. Approach, Arya Tanmay Gupta

Open Water Journal

We present Fics (Fetch information through crowdsourcing), a platform that is ready-to-take posts from social media platforms and infers the water heights referred in them. These posts are expected to come from the citizens who are witnessing a flood event in real time. Fics corrects the spacing in the string, translates the string into corresponding mathematical notations and then finally compute the water heights from the posts.

The objective of Fics is to provide such a platform that can be used for the citizens from the data received from them only, without making them use a software which is to …

Groundwater Flow Model And Particle Track Analysis For Selecting Water Quality Monitoring Well Sites, And Soil Sampling Profiles

Journal of Spatial Hydrology

Researchers often use only surface drainage (imperical method) as a tradition to locate sites for installation of water quality monitoring wells, and soil sampling profile for pollution studies in urban areas. They neglect that structural development may have altered the natural surface drainage. This paper demonstrates an advanced method; combining surface imperical method with a three-dimensional groundwater flow model and particle track analysis. This was performed using transient MODFLOW and MODPATH codes, as a first step in a pollution study of Owerri urban areas. Result was more reliable, showing diverging flows at Orji and Nekede auto-mechanic villages (MVs) due to …

Modeling And Understanding The Relationship Between Vegetation And Rainfall Of A Tropical Watershed Using Remote Sensing Data And Gis

Journal of Spatial Hydrology

A model is developed to understand the relationship between satellite-derived NDVI and rainfall data in a large tropical catchment. Two Fourier-based modeling techniques with a seasonal component, viz. a seasonal model (SM) and a linear perturbation model (LPM) are tested, and their performance in reproducing the observed NDVI was evaluated. The methodology makes use of 15 years of 10-day composite time series data of rainfall and NDVI, which is estimated from NOAA-AVHRR data, both of which constitute concurrent data from 1982-96. The models are applied to a large catchment system of the Rufiji basin in Tanzania, with a network of …

Estimating Spatial Sediment Delivery Ratio On A Large Rural Catchment

Journal of Spatial Hydrology

Soil erosion and sediment yield from catchments are key limitations to achieving sustainable land use and maintaining water quality in streams, lakes and other water bodies. Controlling sediment loading requires the knowledge of the soil erosion and sedimentation. However, sediment yield is usually not available as a direct measurement but estimated by using a sediment delivery ratio (SDR). An accurate prediction of SDR is important in controlling sediments for sustainable natural resources development and environmental protection. There is no precise procedure to estimate SDR, although the USDA has published a handbook in which the SDR is related to drainage area. …