Title
Estimating RUNOFF AND SEDIMENT YIELD USING KWGIUH AND MUSLE MODELS: Runoff and Sediment yield modeling,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
In the present study, efforts were made to develop one Kinematic Wave and Geomorphic Instantaneous Unit hydrograph theory based and MUSLE model based rainfallrunoff and sediment yield estimating model for ungauged/inadequately gauged micro watersheds. The developed model was tested for its application potential on 3ecologically diverse micro watersheds in Almora district of Uttaranchal. Proposed model simulated total runoff volumes for three micro watersheds were found to be associated with mean relative errors ranging between 16% to 38%. The developed KWGIUHMUSLE model was also tested for its potential to give realistic sediment yield estimates for 11 storms/events in a test micro watershed. It was observed that these sediment yield estimates were associated with about 6% mean relative error and 0.94 mean DV value. The above analysis could thus clearly show that the developed KWGIUHMUSLE model can indeed be utilized for obtaining reasonable surface runoff and sediment yield estimates.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.