A case study of the collapse of interstate 35W Mississippi River bridge

Hotelling's classic model of spatial competition is adapted to estimate the impacts on grain price of the closure of one of three grain buyers on the Mississippi River in the vicinity of Scott County, Iowa. The customers of the buyer who is closing (River Gulf Grain Company) in Davenport, Iowa, are assumed to deliver their grain to a buyer in either Buffalo, Iowa, to the south or to a buyer in Clinton, Iowa, to the north. Calibration of Hotelling's framework to this situation leads to an estimated decline in grain bids of 1.5¢ per bushel for the buyer located in Clinton and by 2.5¢ per bushel for the buyer located in Buffalo. These estimates are based on an incremental transportation cost of 0.15¢ per mile between the seller's farm and the buyer. This price decline would reduce gross receipts of the farmers who currently deliver to Davenport by approximately $264,000 per year. The effect of lower price bids on gross receipts of all area farmers would be approximately $750,000 per year. Transportation costs would increase by an estimated $75,000 for those farmers who would have to haul their grain farther because of the closure.

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Global runoff estimation through a regionalized STREAM model

10.5194/egusphere-egu21-14175 ◽

2021 ◽

Author(s):

Stefania Camici ◽

Gabriele Giuliani ◽

Luca Brocca ◽

Christian Massari ◽

Angelica Tarpanelli ◽

...

Keyword(s):

Soil Moisture ◽

Mississippi River ◽

River Discharge ◽

Amazon Basin ◽

Model Parameters ◽

Terrestrial Water ◽

Parameter Values ◽

Stream Model ◽

Daily Time

STREAM -SaTellite based Runoff Evaluation And Mapping- is a conceptual hydrological model able to derive daily river discharge and runoff estimates from satellite soil moisture, precipitation and terrestrial water storage anomalies observations. The model is very simple and versatile: It requires a limited number of parameters (only eight) to simulate river discharge.The model simulates river discharge and gridded runoff at daily time scale with a 25 km spatial resolution. Forced by TRMM 3B42 rainfall data and ESA CCI soil moisture data and GRACE over five pilot large basins (Mississippi, Amazon, Niger, Danube and Murray Darling) the model already provided good runoff estimates especially over Amazon basin, with a Kling-Gupta efficiency (KGE) index greater than 0.92 both at the basin outlet and over several inner stations in the basin. Good results have been also obtained for Mississippi, Niger and Danube with KGE index greater than 0.75 for all the gauging stations.By considering the good performances of the STREAM model and by the continuous availability (in space and time) of satellite observations, this work presents an attempt to regionalize the STREAM model parameters. The Mississippi river basin has been taken as case study and specific relationships between model parameters and different predictors (climate variables such as precipitation and evaporation, soil vegetation and topography characteristics) have been developed. By using these relationships, STREAM parameter values have been directly obtained from readily available climatic and physiographic basin characteristics and model performances are still satisfactory (median KGE over the basin equal to 0.60). The capability to use these relationships in other hydrologically similar catchments will be investigated for the Danube and Amazon river basins. The final target is to obtain global relationships as to provide to provide daily, 25 km, global runoff maps from the STREAM approach.

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