Ecosystem services and agriculture in Punjab, India
- Authors: Kumar, Lalit , Sandhu, Harpinder
- Date: 2017
- Type: Text , Book chapter
- Relation: Ecosystem Functions and Management: Theory and Practice p. 59-84
- Full Text: false
- Reviewed:
- Description: Agroecosystems supply food, fibre and a range of ecosystem services (ES) to human beings. At the same time, they are dependent on regulating services such as freshwater, biodiversity, healthy soils for their proper functioning. It is known that agricultural activities impact negatively on environment and its resources. We present a case study of agriculture in Punjab, India to reflect how it is supplying food to growing population but also impacting other ES. We conclude by discussing trade-offs between food production and natural resources and discuss options for applying ecosystem based approach for long term sustainability of agroecosystems. © Springer International Publishing AG 2017.
Application of soft computing to predict blast-induced ground vibration
- Authors: Khandelwal, Manoj , Kumar, Lalit , Yellishetty, Mohan
- Date: 2011
- Type: Text , Journal article
- Relation: Engineering with Computers Vol. 27, no. 2 (2011), p. 117-125
- Full Text: false
- Reviewed:
- Description: In this study, an attempt has been made to evaluate and predict the blast-induced ground vibration by incorporating explosive charge per delay and distance from the blast face to the monitoring point using artificial neural network (ANN) technique. A three-layer feed-forward back-propagation neural network with 2-5-1 architecture was trained and tested using 130 experimental and monitored blast records from the surface coal mines of Singareni Collieries Company Limited, Kothagudem, Andhra Pradesh, India. Twenty new blast data sets were used for the validation and comparison of the peak particle velocity (PPV) by ANN and conventional vibration predictors. Results were compared based on coefficient of determination and mean absolute error between monitored and predicted values of PPV. © 2009 Springer-Verlag London Limited.