Abstract
The Kuranji watershed has a complex problem which cannot be studied with a single scientific approach. In addition to an ecological approach it is also necessary to consider social and ...economic influences. Conserving areas that have a negative impact on watersheds, such as critical lands, is one of the efforts made to conserve watersheds will reducing costs and speeding up the recovery. The aim of this research is to estimate the economic value of the water yield of the Kuranji watershed on land conservation efforts. To get the economic value of water yield in the watershed, the non-market price approach method is used with the Contingent Valuation Method (CVM). The results showed that there were 356.10 ha of critical land in the Kuranji watershed that could be conserved. The value of water yield in existing land use conditions is greater than water yield in land use conditions influenced by conservation efforts. In this study, it was determined that the estimated economic value of water yield in the Kuranji watershed is 272 IDR/m
3
of water. This is supported with a conservation value of 80% of critical land.
Abstract The significant impact of climate change is high variability in rainfall and an increase in extreme rainfall events. The impacts resulted in severe dry/wet conditions. Severe dry conditions ...can lead to crop failure due to lack of water availability, while severe wet conditions can indicate flooding. This paper aims to investigate the variability of dry/wet meteorological conditions in the Selo watershed. The investigation was carried out using the SPEI and SPI. The results show that wet/dry conditions do not have a clear pattern variability in the long term. Seasonal wet/dry conditions show a changing trend towards wetter conditions in all seasons. Spatially, the changes occur throughout the study area, with the most significant changes occurring in the upstream and downstream parts of the watershed. In the last two decades, wet conditions are more dominant to replace dry conditions that were more prominent in the previous two decades. Other analysis results conclude that there is no influence of air temperature in creating wet/dry conditions in the Selo watershed area. So that the characteristics of wet/dry conditions are very useful for considering the selection of agricultural adaptation strategies in dealing with variability and climate change in the Selo watershed area.
Abstract
Intensive anthropogenic activities encourage drastic land-use changes. The changes in land cover, from vegetation to non-vegetation, have the potential to increase heat emissions from the ...land surface and the atmospheric temperature. A study concerning these aspects is worth conducting in Padang, a city in Indonesia with high land-use changes (1-5 % per year), regarding that this country has controversial issues related to land-use change. In this study, we use the method Land Surface Temperature to examine the surface temperature change in Padang, Indonesia, and assess its relation to the land-use change. Landsat Satellite Imagery was obtained from USGS, through a data mining process meant to help us gather spatial and temporal data for the period 2010-2019. The results show that the city of Padang has experienced an increase of 0.4°C/year in the land surface temperature, whereas the air temperature has increased with 0.01 0C/year. It reveals per 100 hectares change in land-use it potentially raising 0.06°C and 0.006 °C in land surface and air temperature, respectively. These conclusions improve our understanding of the effects that land-use change has on the spatial and temporal surface temperature in the city.
Abstract
Estimates of rice production carried out in conventional ways require high costs and a long time, when compared to remote sensing technology. Surveying land conditions using remote sensing ...satellite technology besides the time of obtaining information is fast and cheap, as well as the survey area is wide and the information got is more sustainable. This study aims to predict the productivity of crop yields (crop yield) of rice fields using the NDVI (Normalized Difference Vegetation Index) algorithm. Research conducted by methods of observation and data processing comprises several stages, namely data pre-processing, analysis of index vegetation until extracted, followed by making a working map for observation and validation of the field. Field results as a consideration of the correlation of the value of vegetation index to the phase of growth and average productivity in the area. The results of the analysis showed the value of NDVI observed as a sign of production that occurred was in the generative phase 2 in the 2nd week of July based on trends that occurred in Talang district of Solok Regency. The results of the actual production data validation test and the use of the NDVI algorithm resulted in an NSE (Nash-Sutcliffe Efficiency) value of 0.868 with the category “Good”.
Paddy growth is influenced by natural factors such as climate and soil, the former being a factor that cannot be controlled. With global climate change, rainfall as one of the sources of water ...availability is the riskiest element affected, which is very influential in determining cropping patterns. This study aims to inventory the pattern of paddy cultivation in the province of West Sumatra by using the Enhanced Vegetation Index (EVI) of MODIS imagery. This study uses the MODIS EVI image (MOD13Q1, 16 composite days, 250m resolution, 2014 to 2018) in West Sumatra. During the course of this study the Province of West Sumatra experienced 3 paddy cropping seasons with 2 periods of harvest in one cropping calendar year.
Groundwater is an opportunity for the irrigation of Paddy fields. A paddy field that is planted only one crop during the rainy season is an obstacle to the lack of rice production in the city of ...Padang. Meeting the need for rice consumption was sent from various western Sumatra areas. If this happens, again and again, it would threaten food security. This research to determine the depth of groundwater table potential has been carried out in Koto Tangah, Padang city. This study using the geoelectric resistivity method with Schlumberger Configuration and data processing using software IP2WIN. The resistivities value of these zones varies from 1.8 Ωm to 1761 Ωm. Layers found to the depth 20 m are a sub-surface layer, clay, sandy clay, and gravel. Layers of clay identified as Groundwater because it's small so it can withstand water. Based on the results of comparative research data measurement of the estimation of the depth of the ground water level with a geoelectric tool and the depth of the ground water with a piezometer device obtained close relationship. So, from these results a linear regression equation can be made with the form of the equation Ý = 0.793X + 0.838X + 0.3636 and has an R2 of 0.8765.
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