Around two-thirds of the earth’s surface covered with water, it is obvious that water is among the most significant aspects that are essential for the life of human being. It is not only important to live, but also important to take a part in social and financial development. Water is God’s personalized gift, as well as the necessity of life. Due to high level of gluttony, misused play of people with the environment and the global climate, shift results in progressive diminishing of natural resources. The problems of freshwater and food security at global level linked to the overwhelming population of the world. To overcome the food and water scarcity challenge, there is required to transfer the freshwater from agriculture sector to other straining purposes. Pakistan is facing the meager water scarcity crises in the last few years, as water is becoming scarce to any specified usage. The quickly growing population, expansion of drainage regions, increasing urbanization and industrialization put a lot of stress on available water supplies. At the moment, there is dire need to harvest rain water by constructing more dams and focus on effective management strategies for further use. Specifically, authors are recommended that, water should be provided demand base instead of supply base irrigation system. Moreover, in addition to land tax, tax on irrigation water quantity/usage should be rectified.
Water quality is highly affected by riverside vegetation in different regions. To comprehend this research, the study area was parted into wet and dry regions. The WASP8 was applied for the simulations of water quality profile over both Waterways selected from each region. It was found that the Ara Waterway, located in the wet regions, has a higher water quality variation in seasonal scale than that of the Yamuna Waterway, which is in the dry region. The interrelationship between river water quality variables and NDVI produce higher association for water quality variables with Pearson correlation coefficient values of about 0.66, 0.68 and −0.58, respectively, over the annual and seasonal scales in the energy limited regions. This approach will help in monitoring the seasonal variation and effect of the vegetation biomass on water quality for the sustainable water environment.
The world is facing a new challenge to overcome the pandemic disease of Coronavirus (COVID-19). An outbreak of COVID-19 to more than 213 countries and territories caused damage to the economy of every country. The proper vaccine to combat this pandemic disease is not invented yet. Due to the lockdown situation, there is a shortage of daily used products globally. To overcome the issue of food shortage and economic survival, the world has to ease the lockdown rules and become operational with the precautionary measures. COVID-19 has a fast transmission rate, therefore, while living with COVID-19, breaking the fast transmission chain of COVID-19 is the only vital solution. Furthermore, there is a dire need to disinfect every individual and his luggage at the entrance of every shopping mall, hospital, public and private institutions, bus stops, metro stations, and railway stations. Hence, the proposed walk-through gate (WTG) with different sensors, i.e., infrared thermal camera, UV disinfectant sensor, disinfectant spraying system, touch-less hand sanitizer, and box having a face mask with a dustbin to discard the previous mask can provide an effective and efficient relief. The world cannot stop working and cannot survive for more than 3–6 months in a lockdown, hence the proposed idea is to install the disinfectant automated spraying WTG with a security walk-through gate at every possible entrance to conform living with the COVID-19 disease such as many other diseases. Breaking the transmission chain is the only solution to win the battle against COVID-19 until an effective vaccine invention.
4 February 2020 in Big Data In Water Resources Engineering (BDWRE)
Soil moisture sensors and hydraulic modeling play a vital role in managing surface irrigation systems. Crop water productivity can be improved by managing the inflow cut-off time and optimizing the other field scale measurements. As such, hydraulic modelling and field experiments were carried out at the University of Agriculture Faisalabad-Pakistan. The soil moisture sensor (SEN-13322) and the WinSRFR model were used for this purpose. In total, nineteen treatments including eighteen simulated treatments and one conventional treatment were designed at two levels of discharge (Q1:0.0025 and Q2:0.0035 m3s−1), at three sensor positions (S1:55%, S2:65%, and S3:75%) across the field length, as well as with three different border widths (B1:6.4m, B2:8.5m, and B3:10.7m) after successful sensor and model calibration during the two growing seasons of 2016–2017 and 2017–2018. The results revealed a significant difference between the means and the treatment T10 i.e., Q2S1B1 that were found to be highly efficient and uniform.