ANNOUNCEMENTS
Increasing competition for water resources in many sectors necessitate effective management of water techniques and the process of decision-making procedures. In the current world scenario, the problem of water shortage motivates scientists to create new analytical methods to help with water resource management. With this problem the concept of such technologies like water accounting came into existence. For effective representations of the total water distribution and depletion in river basins, water accounting requires correct input data. The study area for our research is Gomti river basin. A good grasp of the river basin's all the hydrological processes, controllable and the water flows that are unmanageable, the interplay that involves with the land use and the other ways to alleviate all the negative consequences that causes water depletion on civilization are all prerequisites. Ground-based observatories are becoming few and inaccessible. To measure the essential input variables, remote sensing data is a viable option. The accuracy of the algorithms in the remote sensing is to precisely identify all geographical distribution of the real value of evapotranspiration, land use and rainfall, is discussed in this work. Because the cumulative water balance is the key issue, we only utilized studies that encompassed research periods of seasonal to yearly cycles for our validation.As a result, further scientific study is needed to enhance rainfall and land use spatial mapping employing numerous space-borne sensors. Seasonally accumulated the real evapotranspiration maps that can be easily utilized with confidence in the water accounting and the hydrological modelling. Water experts nowadays lack a consistent framework that helps to connect depletion to water user groups and the benefits they provide. The lack of a common hydrological and water management summary leads to poor judgments. One of the underlying reasons for the lack of effective river basin water accounting systems is the lack of available water flow data.
Keywords: Water Accounting Plus (WA+), Evapotranspiration, Budyko Hypothesis, Water Productivity, Land Productivity.
