scholarly journals ANALISIS PENGARUH PERUBAHAN TUTUPAN LAHAN TERHADAP HIDROLISIS DAS PAMUKKULU SULAWESI SELATAN

2020 ◽  
Vol 4 (1) ◽  
pp. 62-76
Author(s):  
Andi Rasti Serastiwati ◽  
St. Subaedah ◽  
Netty Syam

The Pamukkulu watershed is one of the Jeneberang-Kelara Sub-watersheds, which is one of the 108 Priority Watersheds in Indonesia determined based on the 2017 Ministry of Environment and Forestry Performance Report which is prioritized as a location for Forest and Land Rehabilitation activities. The purpose of this study was to analyze changes in land cover in the Pamukkulu watershed in 2008 and 2017, the effect of land cover changes in the Pamukkulu watershed on fluctuations in major river flows and analyze the health level of the Pamukkulu watershed based on analysis of major river discharge and changes in land cover. The study was conducted in February to April 2018. Data collection was carried out by taking secondary data in the form of land cover data in 2008 and 2017, climate data and Pamukkulu River discharge data. The results showed that based on the results of the analysis of the Land Cover Index (IPL), the condition of Pamukkulu watershed land cover in 2008 was at 19.38% and 16.96% in 2017 so that it was categorized as bad. The results of the hydrological analysis (river water discharge) on the River Regime Coefficient in 2008 were 125 and in 2017 amounted to 119.6 so that the KRS is also categorized as bad. While the results of the analysis of the Variant Coefficient (CV) in 2008 amounted to 144.90% and in 2017 amounted to 87.5% then the CV was categorized as poor. Based on the analysis of the value of the Land Cover Index, River Regime Coefficient and River Regime Coefficient in the Pamukkulu Watershed in 2008 and 2017 which are in the poor category, the performance of the Pamukkulu Watershed is in the poor category.

2019 ◽  
Vol 2 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Atikah Sitorus ◽  
Edi Susanto

This research was carried out to overcome the problem of the lack of sediment data available in several watersheds in North Sumatra, the lack of available sediment data is caused by the requirement of a large amount of time, cost and risk to obtain such data. Purpose of this study was to obtain the equation of sediment rating curve. The sediment rating curve is an equation that connects the river discharge with sediment discharge, so that to obtain the sediment discharge, it is enough to use the river discharge data. This research used the descriptive method using the primary (sediment discharge and concentration data) and secondary data (climate data). Result of the study obtained the equation of the sediment rating curve of Qs = 14.115 Q2.2736 and the value of R2 of 0.711. The sediment discharge obtained has exceeded the limit set by the Ministry of Forestry regarding the criteria for determination of watersheds.


2014 ◽  
Vol 18 (9) ◽  
pp. 3511-3538 ◽  
Author(s):  
H. Müller Schmied ◽  
S. Eisner ◽  
D. Franz ◽  
M. Wattenbach ◽  
F. T. Portmann ◽  
...  

Abstract. Global-scale assessments of freshwater fluxes and storages by hydrological models under historic climate conditions are subject to a variety of uncertainties. Using the global hydrological model WaterGAP (Water – Global Assessment and Prognosis) 2.2, we investigated the sensitivity of simulated freshwater fluxes and water storage variations to five major sources of uncertainty: climate forcing, land cover input, model structure/refinements, consideration of human water use and calibration (or no calibration) against observed mean river discharge. In a modeling experiment, five variants of the standard version of WaterGAP 2.2 were generated that differed from the standard version only regarding the investigated source of uncertainty. The basin-specific calibration approach for WaterGAP was found to have the largest effect on grid cell fluxes as well as on global AET (actual evapotranspiration) and discharge into oceans for the period 1971–2000. Regarding grid cell fluxes, climate forcing ranks second before land cover input. Global water storage trends are most sensitive to model refinements (mainly modeling of groundwater depletion) and consideration of human water use. The best fit to observed time series of monthly river discharge or discharge seasonality is obtained with the standard WaterGAP 2.2 model version which is calibrated and driven by daily reanalysis-based WFD/WFDEI (combination of Watch Forcing Data based on ERA40 and Watch Forcing Data based on ERA-Interim) climate data. Discharge computed by a calibrated model version using monthly CRU TS (Climate Research Unit time-series) 3.2 and GPCC (Global Precipitation Climatology Center) v6 climate input reduced the fit to observed discharge for most stations. Taking into account uncertainties of climate and land cover data, global 1971–2000 discharge into oceans and inland sinks ranges between 40 000 and 42 000 km3 yr−1. Global actual evapotranspiration, with 70 000 km3 yr−1, is rather unaffected by climate and land cover uncertainties. Human water use reduced river discharge by 1000 km3 yr−1, such that global renewable water resources are estimated to range between 41 000 and 43 000 km3 yr−1. The climate data sets WFD (available until 2001) and WFDEI (starting in 1979) were found to be inconsistent with respect to shortwave radiation data, resulting in strongly different actual evapotranspiration. Global assessments of freshwater fluxes and storages would therefore benefit from the development of a global data set of consistent daily climate forcing from 1900 to present.


2017 ◽  
Vol 18 (2) ◽  
pp. 490-503 ◽  
Author(s):  
Mahsa Mirhosseini ◽  
Parvin Farshchi ◽  
Ali Akbar Noroozi ◽  
Mahmood Shariat ◽  
Ali Asghar Aalesheikh

Abstract The present study is an attempt to show how changes in land use and land cover would change the quantity of surface water resources in a river basin in northwestern Iran. In order to detect the changing trend of surface water quantity in the river basin, the long-term statistic data of sediment load and river discharge were gathered over the period between 1987 and 2013. For land use change detection of the river basin, the land use land cover maps of the study area in the years of 1987, 1998, 2002, 2009, and 2013 were prepared from Landsat satellite images using supervised classification method. The changing trend of river discharge showed a significant and positive relationship with rain-fed agriculture (R2 = 0.8152), poor rangeland (R2 = 0.7978), and urban areas (R2 = 0.8377). There was also a strong negative correlation between water discharge and irrigated agriculture (R2 = 0.7286) and good rangeland (R2 = 0.8548). In conclusion, increasing the area of rain-fed agriculture, good rangeland (type IV), and urban land uses, due to their effects on increasing the runoff, have caused an increase in the water flow of Zanjanroud River.


2019 ◽  
Vol 8 (1) ◽  
pp. 27
Author(s):  
Usman Arsyad ◽  
Beta Putranto ◽  
Nur Aeni ◽  
Wahyudi Isnan ◽  
Hasnawir Hasnawir

The biogeophysical characteristics of watersheds have an important role as a determinant of the river discharge amount in the watershed. Various watershed problems such as flood and drought related to river discharge require data and information. The importance of this data and information will determine a better watershed management plan. The issue of flooding and drought are the important issues in Ralla sub watershed, Souht Sulawesi Province. This study aims to describe the biogeophysical characteristics and the discharge of Lompo Riaja Atas and Lompo Riaja Bawah Rivers in Ralla sub watershed, Lisu Watershed. This research was conducted in from November 2016 to August 2017. Primary data collection was done through river discharge and precipitation measurements during 34 days of observation. Secondary data obtained from government or related agencies such as geological data obtained from Geological map of the Ujung Pandang sheet 1982, the slope data from Aster DEM, land type from RePPProt 1987, land cover data from google earth image 2015. A quantitative descriptive method was used to analyze the data obtained. The results showed that the Lompo Riaja Atas and Lompo Riaja Bawah rivers have relatively similar discharge fluctuation, although they have a different amount of discharge. River discharge of both rivers is more influenced by rainfall compared to biogeophysical conditions such as geology, topography, soil type, watershed area, watershed shape, river length and order, gradient, flow pattern, flow density, and land cover.


2017 ◽  
Vol 33 (10) ◽  
pp. 475
Author(s):  
Hubi Maria Padji ◽  
Sudarmadji Sudarmadji

Purpose: This study aimed to determine the relation of climate factors and the availability of clean water with the diarrhea occurrence in Kupang City from the years of 2011-2015.Methods: This study used an ecological study design with Pearson correlation with Spearman correlation tests and used secondary data consisting of diarrhea cases, water discharge, and climate data of Kupang City from 2011-2015.Results: The results of statistical analysis showed that variables that correlate with diarrhea occurrence in Kupang City were rainfall (p = 0.0001; r = -0.48), humidity lag1-3 (p = 0.000; r = -0, 5), wind speed lag2-3 (p = 0.000; r = 0,5 and clean water supply (p = 0.0002; r = - 0.47) while the air temperature variable had no correlation with diarrhea occurrence in Kupang city in 2011 -2015 (p value > 0.05).Conclusion: Based on the research results, it was concluded that the variables of rainfall, humidity lag1-3, wind speed lag2-3 and availability of clean water were correlated with the incidence of diarrhea in Kupang City from the years of 2011-2015.


Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2444 ◽  
Author(s):  
Dinesh Tuladhar ◽  
Ashraf Dewan ◽  
Michael Kuhn ◽  
Robert J. Corner

Changes in rainfall and land use/land cover (LULC) can influence river discharge from a catchment in many ways. Homogenized river discharge data from three stations and average rainfall records, interpolated from 13 stations, were examined for long-term trends and decadal variations (1970–2017) in the headwater, upper and middle catchments of the Bagmati River. LULC changes over five decades were quantified using multitemporal Landsat images. Mann–Kendall tests on annual time series showed a significant decrease in river discharge (0.61% per year) from the entire Bagmati catchment, although the decrease in rainfall was statistically insignificant. However, declines in river discharge and rainfall were both significant in upper catchment. Decadal departures from long-term means support these trend results. Over tenfold growth in urban area and a decrease in agricultural land were observed in the upper catchment, while forest cover slightly increased in the entire catchment between 1975 and 2015. Correlation analysis showed a strong association between surface runoff, estimated using the curve number method, observed river discharge and rainfall in the upper catchment, while the relationship was weaker in the headwater catchment. These results were also supported by multiple regression analysis, suggesting that human activities together with climate change have contributed to river discharge changes in the Bagmati catchment.


2019 ◽  
Vol 23 (9) ◽  
pp. 3945-3967 ◽  
Author(s):  
Jared D. Wolfe ◽  
Kevin R. Shook ◽  
Chris Spence ◽  
Colin J. Whitfield

Abstract. Classification and clustering approaches provide a means to group watersheds according to similar attributes, functions, or behaviours, and can aid in managing natural resources. Although they are widely used, approaches based on hydrological response parameters restrict analyses to regions where well-developed hydrological records exist, and overlook factors contributing to other management concerns, including biogeochemistry and ecology. In the Canadian Prairie, hydrometric gauging is sparse and often seasonal. Moreover, large areas are endorheic and the landscape is highly modified by human activity, complicating classification based solely on hydrological parameters. We compiled climate, geological, topographical, and land-cover data from the Prairie and conducted a classification of watersheds using a hierarchical clustering of principal components. Seven classes were identified based on the clustering of watersheds, including those distinguishing southern Manitoba, the pothole region, river valleys, and grasslands. Important defining variables were climate, elevation, surficial geology, wetland distribution, and land cover. In particular, three classes occur almost exclusively within regions that tend not to contribute to major river systems, and collectively encompass the majority of the study area. The gross difference in key characteristics across the classes suggests that future water management and climate change may carry with them heterogeneous sets of implications for water security across the Prairie. This emphasizes the importance of developing management strategies that target sub-regions expected to behave coherently as current human-induced changes to the landscape will affect how watersheds react to change. The study provides the first classification of watersheds within the Prairie based on climatic and biophysical attributes, with the framework used being applicable to other regions where hydrometric data are sparse. Our findings provide a foundation for addressing questions related to hydrological, biogeochemical, and ecological behaviours at a regional level, enhancing the capacity to address issues of water security.


Author(s):  
Marc Alexie Ceasar B Badajos ◽  
Maria Cristina I Canson

The Southern Cauayan Municipal Forest and Watershed Reserve (SCMFWR) is a 6,000-hectare area in the forests of southwestern Negros in the Philippines. It is part of the Greater Calatong Watershed, which supplies water to farmers in Cauayan and Sipalay City. This study describes the profile of the sub-watersheds within the SCMFWR. The data may be used as basis for management purposes and monitoring of the overall health of the reserve. Specifically, the study delineated boundaries, and drainage areas, classified sub-watersheds, described land use, and determined water discharge of three major river tributaries Cabanbanan, Tinagpito, and Banso and their physical characteristics. The drainage areas of the three rivers were delineated using Topographic Map from the Philippine National Mapping and Resource Information Authority, Google Map, and ASTER GDEM 2011, and secondary data/maps from the Provincial Environment Management Office. DENR manual on watershed characterization was used for the sub-watershed classification. The measurement of water discharge was done by measuring average crosssectional areas of the river and water velocities obtained through the floatation method. Other watershed and river characteristics were gathered by ocular observation. The study determined that SCMFWR is divided into three subwatersheds with a total area of 2944.78 ha. that feeds the three river systems.


2019 ◽  
Author(s):  
Jared D. Wolfe ◽  
Kevin R. Shook ◽  
Chris Spence ◽  
Colin J. Whitfield

Abstract. Classification and clustering approaches provide a means to group watersheds according to similar attributes, functions, or behaviours, and can aid in managing natural resources within these regions. While widely used, approaches based on hydrological response parameters restrict analyses to regions where well-developed hydrological records exist, and overlook factors contributing to other management concerns, including biogeochemistry and ecology. In the Canadian Prairie, hydrometric gauging is sparse and often seasonal, large areas are endorheic and the landscape is highly modified by human activity, complicating classification based solely on hydrological parameters. We compiled climate, geological, topographical, and land cover data from the Prairie and conducted a classification of watersheds using a hierarchical clustering of principal components. Seven classes were identified based on the clustering of watersheds, including those distinguishing southern Manitoba, the pothole region, river valleys, and grasslands. Important defining variables were climate, elevation, surficial geology, wetland distribution, and land cover. In particular, three classes occur almost exclusively within regions that tend not to contribute to major river systems, and collectively encompass the majority of the study area. The gross difference in key characteristics across the classes suggests that future water management and climate change may carry with them heterogeneous sets of implications for water security across the Prairies. This emphasizes the importance of developing management strategies that target sub-regions expected to behave coherently as current human-induced changes to the landscape will affect how watersheds react to change. This study provides the first classification of watersheds within the Prairie based on climatic and biophysical attributes, and our findings provide a foundation for addressing questions related to hydrological, biogeochemical, and ecological behaviours at a regional level.


2001 ◽  
Vol 28 (2) ◽  
pp. 85 ◽  
Author(s):  
GERALDO MARCELO PEREIRA LIMA ◽  
GUILHERME CAMARGO LESSA

Fresh water discharge into Todos os Santos Bay is assessed on the basis of measured and estimated river discharge data. The average mean fresh water discharge amounts to 111.1 m3s-1, and might be added to another 28.2 m3s-1 that falls directly on the bay area as rainfall. The mean river discharge represents only 0.08% of the spring tidal prism, calculated by the means of a through analysis of the depth area distribution.


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