Spatio-Temporal Dynamics of Sediment yield across the Imo River Basin South- East Nigeria

Abstract

Soil and water are the two main natural resources that sustain human existence on earth. Proper monitoring and maintenance of these resources are done on the basin level. The IRB drains an area of 7,951.03 km2. The basin has a mean annual discharge of 120m3/sec and generates significant surface runoff and sediment. The study aim was to evaluate the sediment yield across IRB using the Soil and Water Assessment Tool (SWAT) model. SWAT is a watershed-based, semi-distributed hydrologic model for simulating hydrological processes at different spatial scales. The model utilized digital elevation model DEM to extract the river network, basin delineation, and sub-basin division. The sub-basins were further divided into hydrological response unit HRU at a threshold of 5% slope, 5% the land use, and 5% soil. Harmonized soil data and two land-use data of 1995 and 2010 were used to simulate the sediment yield across IRB. The study result shows an increase in sediment yield of 0.73 t/ha from1995 to 2010. Sub-basin 10 has the highest sediment yield during the two periods; September and October are the months with the highest sediment yield.

Evaluation of Yield Prediction Performance of DSSAT CSM-CERES-Wheat Model in Some Bread Wheat Varieties

“…The product simulation model "Decision Support System for Agrotechnology" (DSSAT) serves different purposes. The main ones are support for product management (Hunkár, 1994;Ruiz-Nogueria et al, 2001;Esetlili et al, 2018); nitrogen fertilizer management practices Gabrielle and Kengni, 1996;Gabrielle et al, 1998;Zalud et al, 2001); irrigation management practices (Ben nouna et al, 2000;Castrignano et al, 1998); precision farming practices (Booltink and Verhagen, 1997;Booltink et al, 2001;Uzor-Totty., Oyegun 2020); on climate change issues (Iglesias et al, 2000;Semenov et al, 1996;Gürkan et al, 2021); It is widely used in yield estimation (Landau et al, 1998;Saarikko, 2000); in yield sustainability (Hoffmann and Ritchie, 1993). Pecetti and Hollington (1997), stated that "Crop Environment Resource Synthesis" (CERES-Wheat) model can be used in Mediterranean climate conditions.…”