Engr. Sultan Ahmad Rizvi

Dr. Engr. Sultan Ahmad Rizvi

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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 February 2022 in Agriculture
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MAMarjan Aziz
Marjan Aziz
EREngr. Sultan Ahmad Rizvi
Engr. Sultan Ahmad Rizvi
Muhammad SultanMuhammad Sultan
Muhammad Sultan
MBMuhammad Sultan Ali Bazmi
Muhammad Sultan Ali Bazmi
Redmond R. ShamshiriRedmond R. Shamshiri
Redmond R. Shamshiri
MIMuhammad A. Imran
Muhammad A. Imran
AquaCrop is a water-driven model that simulates the effect of environment and management on crop production under deficit irrigation. The model was calibrated and validated using three databases and four irrigation treatments (i.e., 100%ET, 80%ET, 70%ET, and 50%ET). Model performance was evaluated by simulating canopy cover (CC), biomass accumulation, and water productivity (WP). Statistics of root mean square error (RMSE) and Willmott’s index of agreement (d) showed that model predictions are suitable for non-stressed and moderate stressed conditions. The results showed that the simulated biomass and yield were consistent with the measured values with a coefficient of determination (R2) of 0.976 and 0.950, respectively. RMSE and d-index values for canopy cover (CC) were 2.67% to 4.47% and 0.991% to 0.998% and for biomass were 0.088 to 0.666 ton/ha and 0.991 to 0.999 ton/ha, respectively. Prediction of simulated and measured biomass and final yield was acceptable with deviation ˂10%. The overall value of R2 for WP in terms of yield was 0.943. Treatment with 80% ET consumed 20% less water than the treatment with 100%ET and resulted in high WP in terms of yield (0.6 kg/m3) and biomass (1.74 kg/m3), respectively. The deviations were in the range of −2% to 11% in yield and −2% to 4% in biomass. It was concluded that AquaCrop is a useful tool in predicting the productivity of cotton under different irrigation scenarios.

11 October 2021 in Sustainability
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MAMarjan Aziz
Marjan Aziz
EREngr. Sultan Ahmad Rizvi
Engr. Sultan Ahmad Rizvi
MIMuhammad Azhar Iqbal
Muhammad Azhar Iqbal
SSSairah Syed
Sairah Syed
MAMuhammad Ashraf
Muhammad Ashraf
JAJamil Akhtar
Jamil Akhtar
Drip irrigation has long been proven beneficial for fruit and vegetable crops in Pakistan, but the only barrier in its adoption is the high cost of installation for small landholders, which is due to overdesigning of the system. In the present study, the cost of a conventional drip irrigation system was reduced by redesigning and eliminating the heavy filtration system (i.e., hydrocyclon, sand media, disc filters (groundwater source), pressure gauges, water meters, and double laterals).Purchasing the drip system from local vendors also reduced the cost. Field trials were conducted during 2015 and 2016 to observe the productive and economic effects of low-cost drip irrigation on vegetables (potato, onion, and chilies) and fruits (olive, peach, and citrus). The low-cost drip irrigation system saved 50% cost of irrigation and increased 27–54% net revenue in comparison with the furrow irrigation system. Further, water use efficiency (WUE) was found from 3.91–13.30 kg/m3 and 1.28–4.89 kg/m3 for drip irrigation and furrow irrigation systems, respectively. The physical and chemical attributes of vegetables and fruits were also improved to a reasonably good extent. The present study concluded that low-cost drip irrigation increased the yield by more than 20%, as compared with traditional furrow irrigation, and thus, it is beneficial for the small landholders (i.e., less than 2 hectares).

25 April 2012 in International Journal of Environmental Science and Technology
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EREngr. Sultan Ahmad Rizvi
Engr. Sultan Ahmad Rizvi
MLM. Latif
M. Latif
SAS. Ahmad
S. Ahmad

12 August 2021 in Spanish Journal of Agricultural Research
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MSMuhammad R. Sajjad
Muhammad R. Sajjad
EREngr. Sultan Ahmad Rizvi
Engr. Sultan Ahmad Rizvi
RRRizwan Rafique
Rizwan Rafique
WNWaqas Naseem
Waqas Naseem
AKAzra Khan
Azra Khan
SJShahid Javid
Shahid Javid
Aim of study: A field experiment was executed, under rainfed conditions from 2014-15 to 2017-18, to study the role of cowpea (Vigna unguiculata L.) in rainwater harvesting to enhance the wheat (Triticum aestivum L.) yield.Area of study: Rain-fed area of Pothwar region, Punjab, Pakistan.Material and methods: We designed three treatments (T1: control; T2: cowpea grown after conventional tillage and incorporated into soil to act as “green manure”; and T3: grown without any tillage practice, cut with sickle and spread as “mulch”). The effect of these treatments on soil moisture conservation was studied against conventional farmer’s practice, wherein no host crop is grown before wheat sowing.Main results: Available soil water remained highest in T2 during first three years when sufficient rainfall was received contrary to fourth year with low rainfall. The results revealed that cowpea biomass of 15.2 t/ha and 13.72 t/ha, from T2 and T3 respectively, were produced during 2015 corresponding to 213 mm rainfall. Whereas, these quantities increased to 25.69 t/ha and 24.29 t/ha during 2017 with 387 mm of rainfall. The study revealed that net income from wheat crop under T2 was Rs 13000 and Rs 9000 per hectare higher than that of control during the first two years respectively. Contrarily, net income from T2 was found negative and benefit-cost ratio reduced to 0.79 when very low rainfall was received during the last year.Research highlights: Use of cowpea as green manure gave maximum net return if sufficient rainfall is received during decomposition of cowpea and hence recommended for in-situ rainwater harvesting.

16 October 2021 in Water Resources Management
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EREngr. Sultan Ahmad Rizvi
Engr. Sultan Ahmad Rizvi
AAAfeef Ahmad
Afeef Ahmad
MLMuhammad Latif
Muhammad Latif
ASAbdul Sattar Shakir
Abdul Sattar Shakir
AKAftab Ahmad Khan
Aftab Ahmad Khan
MGMuhammad Riaz Gondal
Muhammad Riaz Gondal

1 February 1997 in Irrigation and Drainage Systems
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JBJ. Boonstra
J. Boonstra
MBM.N. Bhutta
M.N. Bhutta
EREngr. Sultan Ahmad Rizvi
Engr. Sultan Ahmad Rizvi