DEVELOPMENT OF THE MASDAN MOBILE APPLICATION AND WEB-BASED GIS INTERFACE FOR THE MONITORING AND MANAGEMENT OF THE MANILA BAY ENVIRONMENT

This paper presents the development of MASDAN, an integrated platform consisting of a mobile application and a web-GIS interface for monitoring the Manila Bay environment. The MASDAN mobile application uses citizen science and Volunteered Geographic Information (VGI) to collect data on specific environmental issues. It also serves as an information, education, and communication (IEC) tool for its users. The MASDAN Monitoring Interface is a centralized citizen report assessment tool for local authorities and environmental agencies to validate and monitor environmental reports within their area of jurisdiction. These two components create a two-way flow of information between citizens and authorities, ensuring prompt and information-driven actions to environmental issues affecting the Manila Bay and linked environments.

Structured methods of data production and their visualization using GIS: semantic domains in ethnographic research of landscapes

In this article, we present how, using the example of research studies connected with the perception of a landscape, some structured methods of data production used primarily in cognitive anthropology can be applied along with the possibilities of data analysis visualization using geographic information systems. We show the process of working with data gained by qualitative techniques and transferred, using semantic domain analysis, to the GIS interface, and outline the room for interpretation opened up by such a multilevel approach using various tools. Although we subjected the described procedures to pilot verification in our own research, the connection of the presented methodological approaches is still open to scientific discussion and, above all, to further experimentation.

Discharge and Sediment Transport in a River Basin. Assessment Before and After the Construction of a Dam at the Upper Basin Boundary

The purpose of this study is the evaluation of runoff and sediment transport in the basin of the Nestos River (Northern Greece) downstream of the dam of Platanovrisi, constructed in 1998. The model used for the simulation was AGNPS, which is based on the Revised Universal Soil Loss Equation (RUSLE), combined with a GIS interface. Two different simulations were conducted, one for the years 1980-1990 and another for the period 2006-2030, before and after the construction of the dam respectively. For the simulation for the period 1980-1990 existing meteorological data were employed, and the results were in good agreement with those of a different study (Hrissanthou, 2002). The simulation for the period 2006-2030 was based on rainfall and climatic data generated from the software packages GlimClim and ClimGen. The mean runoff was by 5% lower and the mean annual sediment yield by 20% lower than the corresponding values for the period 1980-1990.

Recent advances in the assessment of soil erosion vulnerability in watersheds

Water induced soil erosion has always been a matter of concern in watersheds as they increase the soil vulnerability towards erosion. If unchecked, the eroded material reduces the capability of the river to carry the adequate amount of water and increase the amount of sediments in the watershed area. Determining vulnerability of soil to erosion plays a key role in identifying the extent of fragility and helps in making appropriate plans for conservation. Among various methods present to assess soil erosion vulnerability, there is a need to understand the frequently used methods so far and its advancement with time. Various models have been used in past two decades (1991-2019) and the Revised Universal Soil Loss Equation (RUSLE) is the most used model because of its quantitative ability to estimate the average annual soil loss due to erosion in a watershed and its compatibility with the GIS interface. Different approaches like MCDM, SWAT etc. are being utilised to study soil erosion vulnerability of watersheds. This review showed that the frequently used MCDM method is a Compound Factor (CF) method and that RUSLE is a most used quantitative approach. The review identifies 14 different methods which includes 4 methods which provide quantitative estimation while the other 10 methods are used for qualitative assessment of soil erosion vulnerability. Being the most adopted approach, various modifications of different factors of RUSLE introduced by researchers have made it more efficient with time. This review identifies the trend in advancement of various approaches and methods to study soil erosion vulnerability of watersheds around the world and also how various studies are distributed in the Himalayan and non-Himalayan region. The review also provides an understanding of the status of various current approaches to study soil erosion in a watershed and lists the improvements adopted in the frequently used approaches during 1991 and 2019.

WEB-BASED REPRESENTATION AND MANAGEMENT OF INFECTIOUS DISEASE DATA ON A CITY SCALE, CASE STUDY OF ST. PETERSBURG, RUSSIA

In 2019–2020, we conducted a set of case studies devoted to the investigation and design of a methodology for GIS-based support of medical administration and planning on a city scale when accounting and controlling infectious disease. The studies were conducted for the administrative territory of St. Petersburg city (Russia), and were based upon the medical statistics data collected and accounted by St. Petersburg medical administration. The statistics included data on tuberculosis, human immunodeficiency virus and hepatitis infection. All the medical data used in the study are impersonalized. GIS-based MDMS prototype was developed upon the QGIS software.Moving forward in the previously formed study direction, now we are working on MDMS interface redesigning to facilitate its usability. Current activities are focussed on incorporation of the Web interface into previously developed MDMS prototype. The paper discusses development of the Web GIS interface prototype, and poses feature research and development aims. First feedback collected from medicals makes it possible to pose a Web-GIS-based MDMS as more flexible and easy to use, in comparison to the desktop-GIS-based.

Markov Chain Modelling and GIS Interface to Analyze Traffic Congestion

Traffic congestion is the major problem that major metropolitan cities are facing. From the study it is observed that the main cause of the delay is because of not following the actual design of the transportation rules of the particular area. There are many factors which are influencing the congestion are taken in the study like road density, road geometrics and traffic composition. Data is collected at Gochibowli, Kothagudem and Cyber towers intersection regarding road geometrics, road density and volume count using ArcGIS and manually. The Markov chain is a mathematical model is used. Markov chain is a transition probabilistic model which can be used in any stream to find out percentage of chances for an event to take place. Empirical model is developed for delay prediction by considering the values from data collection. Penetrating the values into the transition probabilistic method and linear equations to find out the factors influencing delay and calculating the delay errors.