Changes in land use, increasing of agricultural areas to the detriment of wooded ones, and poor management of agricultural land, along with the impact of current changes in the climate (reflected in the increase of the climate aggression index) makes soil erosion one of the main risks associated with improper land use, with a direct impact on its productivity and an indirect impact on human beings. The aim of this study is to assess the risk induced by surface soil erosion on land use, using as our main method of investigation the development of two models of integrated spatial analysis of the territory: a derived model of the universal soil loss equation (USLE) and a qualitative model that integrates the result of soil erosion assessment with the database representing the land use. This was carried out in order to highlight the impact on the territory. The spatial analysis models were developed on a structure of vector spatial databases, through which the soil type, soil texture, climate aggression coefficient, and land use were mapped, and alphanumeric databases, representing the market cost of land, in EUROs, that highlight the quality of cultivated land (in terms of productive economic potential). The induced risk estimation is based on a qualitative rating of soil erosion vulnerability on a scale from 1 to 5 (1-low vulnerability; 5-high vulnerability) and of the reduction of the economic value of the land (according to the vulnerability rating). The implemented methodology highlights the quantitative risk, with a maximum value of about 46.000 EUROs, spatially identified on large surfaces on the outskirts of the Jibou municipality. It is mainly caused by the impact of soil erosion on large areas of orchards, which provide necessary products for human consumption. The present methodology can be implemented on similar areas and can be used as a model of good practices in risk assessment based on financial losses by local public authorities.

The NRCS-CN (Natural Resources Conservation Service curve number) method, developed by the USDA (U.S. Department of Agriculture) is among the most widely used for the estimation of surface runoff from watersheds. Ever since its introduction in the 1950s, although it has been used to a great extent by engineers and hydrologists, the applicability of the original procedure used to determine its main parameter, the curve number (CN), to various regions with diverse environmental conditions, is still subject to many uncertainties and debates. This study presents a comparative analysis of different methods applied to determine curve numbers from local data in four watersheds located in the central part of Romania, within the mountain region surrounding the Brașov Depression. The CN values were not only computed using rainfall–runoff records from 1991 to 2020, but also determined from the standard NRCS tables documented in the National Engineering Handbook part 630 (NEH-630), for comparison purposes. Thus, a total of 187 rainfall–runoff data records from the study watersheds and five different methods were used to assess the accuracy of various procedures for determining the CN values, namely: tabulated CN (CN values selected from NRCS tables, TAB), asymptotic fitting (AF) of both natural and ordered data, median CN (MD), geometric mean CN (GM) and the arithmetic mean CN (AM) methods. The applicability of the aforementioned methods was investigated both for the original fixed initial abstraction ratio λ = 0.2 and its adjustment to λ = 0.05. Relatively similar results were found for the curve number-based runoff estimates related to the field data analysis methods, yet slightly better when the λ was reduced to 0.05. A high overall performance in estimating surface runoff was achieved by most CN-based methods, with the exception of the asymptotic fitting of natural data and the tabulated CN method, with the latter yielding the lowest results in the study area.

Most of the natural geomorphosites represent main attractions that have a high tourism potential and need great care in terms of their capitalization. The irrational tourism capitalization of the geomorphosites may lead to their degradation because of the lack of proper tourism infrastructure and the practice of random and uncontrolled tourism. The reintroduction in the tourism circuit of such geomorphological structures that have a high landscape and scientific value claims, first of all, the assessment of the current state of degradation and the drawing up of sustainable development proposals from a geomorphological point of view. This study deals mainly with the assessment of a geomorphosite (Grădina Zmeilor Geomorphosite, North-West Region, Romania), using a complex methodology, which is based on the identification of criteria influencing the tourism development of the geomorphosite, and their analysis by means of qualitative points given according to the impact of each criterion. A total of 17 criteria have been therefore identified. They are structured along four levels of analysis which are integrated in the form of spatial analysis based on weighted average, and highlight the overall value of the analysed geomorphosite. By implementing the methodology in the proposed research, a total value of 0.29 has been obtained in an interval between 0 and 1. This value underlines the high degree of degradation of the geomorphosite. The planning proposals have the main purpose of increasing the overall value of the geomorphosite by providing sustainability in its capitalization. To achieve this, proposals have been made to mitigate the shortcomings for a total of four criteria. The overall value of the geomorphosite has been recalculated, resulting a significant increase of the value (0.33), highlighting the impact of the implementation of these proposals in practice for the development of the geomorphosite and the increase of its level of tourism attractiveness. The introduction of this objective on the tourist map, following the application of the suggestions proposed in this paper, can lead to favorable economic development both at the local and regional level. This analysis model can also be applied to other geomorphists facing the problem of degradation and involution.

Rain gauges provide accurate rainfall amount data; however, the interpolation of their data is difficult, especially because of the high spatial and temporal variability. On the other hand, a high-resolution type of information is highly required in hydrological modeling for discharge calculations in small catchments. This problem is partially solved by meteorological radars, which provide precipitation data with high spatial and temporal distributions over large areas. The purpose of this study is to validate a conditional merging technique (CMT) for 15 rainfall events that occurred on the southern slope of the Tibleș and Rodnei Mountains (Northern Romania). A Geographic Information System (GIS) methodology, based on three interpolation techniques—simple kriging, ordinary kriging, and cokriging—were utilized to derive continuous precipitation fields based on discrete rain gauge precipitation data and to derive interpolated radar data at rain gauge locations, and spatial analysis tools were developed to extract and analyze the optimal information content from both radar data and measurements. The dataset contains rainfall events that occurred in the period of 2015–2018, having 24 h temporal resolution. The model performance accuracy was carried out by using three validation metrics: mean bias error (MBE), mean absolute error (MAE), and root mean square error (RMSE). The validation stage showed that our model, based on conditional merging technique, performed very well in 11 out of 15 rainfall events (approximate 78%), with an MAE under 0.4 mm and RMSE under 0.7 mm.

Băile Tușnad, also known as “Little Switzerland”, “The Land of Mineral Waters”, “The Pearl of Transylvania” or “The Pearl of Spa Tourism in Romania”, was once the pride and effervescence of spa tourism in Romania. Officially, it is the smallest town in the country, and through the unique charm of its landscape and natural heritage it has earned its national and international reputation. A new opportunity for the development of the resort in 2023 is the promotion of the town by the Ministry of Entrepreneurship and Tourism (MET) as a new ecotourism destination in the country. Thus, the area might become the 7th ecotourism destination in Romania, being one of the most representative volcanic geomorphohydrosites in the Harghita Mountains (Eastern Carpathians). The objective of the study was to evaluate the ecotourism potential of the settlement and the region using methods applied in academic literature for urban and rural geomorphosites, as well as to justify the importance of this ecotourism destination based on tourist circulation data. In the evaluation process of the ecotourism potential the resort receives 84% of the maximum score according to the methodology, and the tourist circulation data support the important contribution that the resort has in Harghita County, with increasing prospects after the recovery from the pandemic period.