Identifikasi dan Sebaran Intrusi Air Laut terhadap Airtanah Dangkal di Kota Kendari Sulawesi Tenggara

2020 ◽  
Vol 21 (2) ◽  
pp. 174-182
Author(s):  
Surya Cipta Ramadhan Kete ◽  
Suprihatin Suprihatin ◽  
Suria Darma Tarigan ◽  
Hefni Effendi
Keyword(s):  
Seawater Intrusion ◽  
Sea Water ◽  
Shallow Groundwater ◽  
Quality Data ◽  
Data Sampling ◽  
Groundwater Temperature ◽  
Water Quality Data ◽  
Alluvial Deposits ◽  
The People ◽  
Total Dissolved Solid

ABSTRACTThe availability of clean water is one of the main problems for the people in Kendari City. Overutilization of groundwater can cause seawater intrusion to groundwater. This study aims to identify and map seawater intrusion distribution to shallow groundwater based on water quality data. Sampling was obtained from 100 dug wells of the inhabitant (n=100) in March-July 2019 with a variation of the distance from the beach 0.04-5.52 km and the elevation of Groundwater (MAT) between 0.43-30.01 MASL. The distribution of shallow groundwater is mapped on the criteria to the value of Electrical Conductivity (DHL) at the standard temperature of 25 °C. The analysis showed that the average groundwater temperature was 29.28 °C, DHL was 393.52 µmhos, Total Dissolved Solid (TDS) was 196.98 ppm, and pH was 6.31. Shallow groundwater, which has been varied intruded with high intruded (26.26%), rather high intruded (14.14%), medium intruded (32.32%), low intruded (6.06%) and not intruded (21.21%). The correlation between distance from the coast to the value of DHL was not significantly correlated (R2 = -0.49), while groundwater level elevation has a significant correlation (R2 = 0.71). The geological factors of alluvial deposits, which generally have low permeability and slope to flat topography, cause seawater intrusion to shallow groundwater.Keywords: sea water intrusion, shallow groundwater, Kendari City ABSTRAKKetersediaan air bersih merupakan salah satu masalah utama bagi masyarakat kota Kendari. Sumber air bersih masyarakat diperoleh dari airtanah. Pemanfaatan airtanah yang berlebihan dapat menyebabkan terjadinya intrusi air laut terhadap airtanah. Penelitian ini bertujuan untuk mengidentifikasi dan memetakan sebaran intrusi air laut terhadap airtanah dangkal berdasarkan data kualitas air. Pengambilan sampel diperoleh dari sumur gali penduduk sebanyak 100 sampel (n=100) pada periode Maret-Juli 2019 dengan variasi jarak dari pantai 0,04-5,52 km dan elevasi muka airtanah (MAT) antara 0,43-30,01 mdpl. Hasil analisis menunjukan bahwa rerata suhu airtanah sebesar 29,28 °C, DHL sebesar 393,52 µmhos, Total Dissolved Solid (TDS) sebesar 196,98 ppm dan pH sebesar 6,31. Airtanah dangkal secara umum telah terintrusi dengan variasi meliputi terintruksi tinggi (26,26%), terintrusi agak tinggi (14,14%), terintrusi sedang (32,32%), terintrusi sedikit (6,06%) dan tidak terintrusi (21,21%). Korelasi antara jarak dari pantai terhadap nilai DHL tidak signifikan (R2 = -0,49), sedangkan MAT memiliki korelasi signifikan (R2= 0,71). Faktor geologi berupa endapan alluvial yang memiliki permeabilitas umumnya rendah dan berada pada topografi landai hingga datar menyebabkan terjadinya intrusi air laut terhadap airtanah dangkal.Kata Kunci: intrusi air laut, airtanah dangkal, Kota Kendari

scholarly journals The impact of conifer harvesting on stream water quality: the Afon Hafren, mid-Wales

2004 ◽  
Vol 8 (3) ◽  
pp. 503-520 ◽  
Author(s):  
C. Neal ◽  
B. Reynolds ◽  
M. Neal ◽  
H. Wickham ◽  
L. Hill ◽  
...  
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Strong Support ◽  
Shallow Groundwater ◽  
Water Quality Monitoring ◽  
Quality Data ◽  
Stream Water Quality ◽  
Catchment Scale ◽  
Water Quality Data ◽  
The Impact

Abstract. Results for long term water quality monitoring are described for the headwaters of the principal headwater stream of the River Severn, the Afon Hafren. The results are linked to within-catchment information to describe the influence of conifer harvesting on stream and shallow groundwater quality. A 19-year record of water quality data for the Hafren (a partially spruce forested catchment with podzolic soil) shows the classic patterns of hydrochemical change in relation to concentration and flow responses for upland forested systems. Progressive felling of almost two-thirds of the forest over the period of study resulted in little impact from harvesting and replanting in relation to stream water quality. However, at the local scale, a six years’ study of felling indicated significant release of nitrate into both surface and groundwater; this persisted for two or three years before declining. The study has shown two important features. Firstly, phased felling has led to minimal impacts on stream water. This contrasts with the results of an experimental clear fell for the adjacent catchment of the Afon Hore where a distinct water quality deterioration was observed for a few years. Secondly, there are localised zones with varying hydrology that link to groundwater sources with fracture flow properties. This variability makes extrapolation to the catchment scale difficult without very extensive monitoring. The implications of these findings are discussed in relation to strong support for the use of phased felling-based management of catchments and the complexities of within catchment processes. Keywords: deforestation, water quality, acidification, pH, nitrate, alkalinity, ANC, aluminium, dissolved organic carbon, Plynlimon, forest, spruce, Afon Hafren, podzol

SIMULATION OF SEA WATER INTRUSION IN THE PLAIN OF ARGOS WITH ADVECTION - DISPERSION MODEL

2004 ◽  
Vol 36 (4) ◽  
pp. 1962 ◽  
Author(s):  
Π. Γιαννουλόπουλος
Keyword(s):  
Numerical Model ◽  
Sea Water ◽  
Chloride Transport ◽  
Dispersion Model ◽  
Quality Data ◽  
Homogeneous Fluid ◽  
Sea Water Intrusion ◽  
Water Quality Data ◽  
Numerical Errors ◽  
Water Intrusion

The plain of Argos, southern Greece, is perhaps the first region in Greece where sea water intrusion in groundwater was noticeably observed since late fifties. Observed chloride concentrations, are mostly less than 1500 mg/l, in the affected zone, exhibiting smooth variations. Also, relevant water quality data, show that sharp fronts are not occurring. Thus, the transport of chlorides is assumed to be governed by advection and dispersion mechanisms rather than density dependent transport. In this paper the application of a distributed numerical model, based on advective and dispersive - chloride transport is described. Hence, the mathematical model of a "homogeneous fluid" and the "tracer" approach has been assumed rather that the "general" approach of the "heterogeneous fluid". This code has successfully replicated the measured concentrations of the calibration period (1964-69) and also the pertinent concentrations of the validation period (1969-750). In predictive simulation, a scenario of chloride flushing by natural recharge, without any pumping, was tested and it was calculated that rehabilitation period could be at least as long as twenty years. The weakness of this model involves both errors of conceptual model and numerical errors. The major conceptual problem is the lack of knowledge of pumping distribution, which constitutes the driving force of salinization, while numerical errors are mainly attributed to mass balance errors introduced in the Eulerian - Lagrangian implementation of the numerical model.

scholarly journals An investigation of groundwater condition by geoelectrical resistivity method: A case study in Bengalon, East Kutai, East Kalimantan Province Indonesia

PROMINE ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 45-54
Author(s):  
Shalaho Dina Devy ◽  
Ibnu Hasyim
Keyword(s):  
Sea Water ◽  
Shallow Groundwater ◽  
Groundwater Potential ◽  
Residential Areas ◽  
Alluvial Deposits ◽  
Resistivity Method ◽  
East Kalimantan ◽  
Groundwater Condition ◽  
Geoelectrical Resistivity

Bengalon is located in East Kutai Regency, East Kalimantan Province. Bengalon is included in the Samarinda-Bontang groundwater basin. The development of agricultural and industrial areas, followed by an increase in residential areas, will cause an increase in the water demand. This study aims to determine the groundwater potential of alluvial areas using the resistivity geoelectric method. The resistivity survey resulted in subsurface lithology, shallow groundwater conditions in the form of depth, thickness, and location of the aquifer as well as the type of groundwater quality. There are 10 locations for geoelectric data collection using the 2D geoelectric method. The results showed that the majority of the aquifers were alluvial deposits consisting of sand and sandy clay. The resistance indicating groundwater is 1 - 4 Ω m, at a depth of 10 – 50 m with a thickness varying from 10 – 20 m which has been dominated by sand. The presence of sea water intrusion in aquifers causes the quality of groundwater to tend to be brackish because the research location is in a swamp area bordering the coast.

scholarly journals Identifikasi Keberadaan Intrusi Air Laut pada Kawasan Pemukiman di Sekitar Pesisir Pantai Daerah Desa Sukajaya Lempasing Kecamatan Teluk Pandan

2020 ◽  
Vol 4 (2) ◽  
pp. 110
Author(s):  
Daniel Radityo ◽  
Alviyanda Alviyanda ◽  
Happy Christin Natalia ◽  
Ahmad Hamdani ◽  
Angga Ahya Huseina ◽  
...  
Keyword(s):  
Seawater Intrusion ◽  
Sea Water ◽  
Observation Data ◽  
Alluvial Deposits ◽  
Alluvial Sediment ◽  
Quality Of Water ◽  
Field Observation Data ◽  
Air Control ◽  
Physical And Chemical

Sukajaya Lempasing is one of the villages located in Teluk Pandan District, Pesawaran Regency, Lampung Province. Sukajaya Lempasing Village was chosen as a place for research because of its position on the east coast which is directly adjacent to Lampung Bay, of which its groundwater is suspected to be contaminated by seawater, causing the water to be brackish. Field observation, data collection, as well as lithology and air control are needed to see the geological and hydrogeological conditions of this area. Based on the physical and chemical parameters, the well of Hamlet 7 has groundwater and there is no indication of sea water intrusion because the area is very close to hills which may become a catchment area so that groundwater flows out to sea with high pressure. Based on the salinity, TDS, and conductivity values ​​obtained, the well that experienced seawater intrusion was the AJR3 well because it is located closest to the coastline and is supported by an alluvial sediment aquifer that has moderate to high aquifer productivity. The quality of water based on physical parameter data from wells in Hamlet 1, Hamlet 7 and sample AJR4 Hamlet 3 is classified as clean and suitable for daily use. The lithology in the form of alluvial deposits allows seawater intrusion, especially in areas close to the shoreline such as the AJR3 well.

scholarly journals Detecting dominant changes in irregularly sampled multivariate water quality data sets

2018 ◽  
Vol 22 (8) ◽  
pp. 4401-4424
Author(s):  
Christian Lehr ◽  
Ralf Dannowski ◽  
Thomas Kalettka ◽  
Christoph Merz ◽  
Boris Schröder ◽  
...  
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Shallow Groundwater ◽  
Irregular Sampling ◽  
Quality Data ◽  
Data Sets ◽  
Water Quality Data ◽  
Data Set ◽  
Sampling In Space

Abstract. Time series of groundwater and stream water quality often exhibit substantial temporal and spatial variability, whereas typical existing monitoring data sets, e.g. from environmental agencies, are usually characterized by relatively low sampling frequency and irregular sampling in space and/or time. This complicates the differentiation between anthropogenic influence and natural variability as well as the detection of changes in water quality which indicate changes in single drivers. We suggest the new term “dominant changes” for changes in multivariate water quality data which concern (1) multiple variables, (2) multiple sites and (3) long-term patterns and present an exploratory framework for the detection of such dominant changes in data sets with irregular sampling in space and time. Firstly, a non-linear dimension-reduction technique was used to summarize the dominant spatiotemporal dynamics in the multivariate water quality data set in a few components. Those were used to derive hypotheses on the dominant drivers influencing water quality. Secondly, different sampling sites were compared with respect to median component values. Thirdly, time series of the components at single sites were analysed for long-term patterns. We tested the approach with a joint stream water and groundwater data set quality consisting of 1572 samples, each comprising sixteen variables, sampled with a spatially and temporally irregular sampling scheme at 29 sites in northeast Germany from 1998 to 2009. The first four components were interpreted as (1) an agriculturally induced enhancement of the natural background level of solute concentration, (2) a redox sequence from reducing conditions in deep groundwater to post-oxic conditions in shallow groundwater and oxic conditions in stream water, (3) a mixing ratio of deep and shallow groundwater to the streamflow and (4) sporadic events of slurry application in the agricultural practice. Dominant changes were observed for the first two components. The changing intensity of the first component was interpreted as response to the temporal variability of the thickness of the unsaturated zone. A steady increase in the second component at most stream water sites pointed towards progressing depletion of the denitrification capacity of the deep aquifer.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN HASIL BUDIDAYA UDANG VANAME DENGAN METODE ALGORITMA C4.5 (PT ANUGERAH SUMBER LAUT JAYA)

2020 ◽  
Vol 14 (1) ◽  
pp. 28-39
Author(s):  
Muchamad Iqbal ◽  
Wendi Usino ◽  
Triono Triono
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Sea Water ◽  
Economic Value ◽  
Attribute Selection ◽  
White Shrimp ◽  
Quality Data ◽  
Export Demand ◽  
Top Down ◽  
Water Quality Data

Abstrak - Kondisi geografis Indonesia dengan dua per tiganya perairan dapat memberikan keuntungan tersendiri bagi masyarakat Indonesia yang berprofesi sebagai nelayan. Salah satu komoditas budidaya air laut yang memiliki nilai ekonomi dan permintaan ekspor yang tinggi salah satunya adalah udang vaname (Liopenaeus Vannamei), yang sering disebut sebagai udang putih. Salah satu metode klasifikasi adalah algoritma C4.5, metode algoritma C4.5 dalam pemilihan atribut dapat dilakukan dengan cara menggunakan Gain dengan tujuan mencari nilai Entropy. Algoritma C4.5 dapat membagi-bagi data berdasarkan kriteria yang dipilih agar terbentuk sebuah pohon keputusan (Decision Tree) yang menggunakan pendekatan secara top down. Dari data-data yang diperoleh maka bisa dihitung dari hasil perhitungan pada luas tambak, bibit, pakan, dan pupuk akan didapatkan hasil optimasinya. Hasil dari program yang dibuat berdasarkan data-data kualitas air yang dianalisa dengan teknik data mining dapat dimanfaatkan untuk mendapatkan informasi yang berguna untuk pihak perusahaan dan dari pemodelan pohon keputusan dengan metode Algoritma C4.5 didapatkan hasil accuracy sebesar 76,47%, precision sebesar 72,72% dan recall sebesar 88,88%. Dari hasil  pengujian tersebut diketahui bahwa klasifikasi termasuk dalam kategori Fair Classification. Abstract - Indonesia's geographical condition, with two-by-one of its waters, can provide its own benefits for Indonesians who are fishermen. One of the sea water cultivation commodities which has economic value and high export demand one of them is shrimp Vaname (Liopenaeus Vannamei), which is often referred to as white shrimp. One method of classification is algorithm C 4.5, algorithm method C 4.5 in attribute selection can be done by using Gain with the purpose of finding the value of Entropy. The C 4.5 algorithm can divide data based on criteria chosen to form a decision Tree using a top down approach. From the data obtained, it can be calculated from the results of calculations on the area of pond, seedlings, feed, and fertilizer will be obtained the results of its optimization. The results of the programs created based on water quality data analyzed by data mining techniques can be utilized to obtain useful information for the company and from the modeling of decision tree with algorithm method C 4.5 Obtained the accuracy of 76.47%, precision at 72.72% and recall by 88.88%. From the test results it is known that the classification belongs to the Fair Classification category.

scholarly journals Detecting dominant changes in irregularly sampled multivariate water quality data sets

2018 ◽  
Author(s):  
Christian Lehr ◽  
Ralf Dannowski ◽  
Thomas Kalettka ◽  
Christoph Merz ◽  
Boris Schröder ◽  
...  
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Stream Water ◽  
Shallow Groundwater ◽  
Irregular Sampling ◽  
Quality Data ◽  
Data Sets ◽  
Water Quality Data ◽  
Data Set ◽  
Sampling In Space

Abstract. Time series of catchment water quality often exhibit substantial temporal and spatial variability which can rarely be traced back to single causal factors. Numerous anthropogenic and natural drivers influence groundwater and stream water quality, especially in regions with high land use intensity. In addition, typical existing monitoring data sets, e.g. from environmental agencies, are usually characterized by relatively low sampling frequency and irregular sampling in space and/or time. This complicates the differentiation between anthropogenic influence and natural variability as well as the detection of changes in water quality which indicate changes of single drivers. Detecting such changes is of fundamental interest for water management purposes as well as for scientific analyses. We suggest the new term dominant changes for changes in multivariate water quality data that concern (1) more than a single variable, (2) more than one single site and (3) more than short-term fluctuations or single events and present an exploratory framework for the detection of such dominant changes in multivariate water quality data sets with irregular sampling in space and time. Firstly, we used a non-linear dimension reduction technique to derive multivariate water quality components. The components provide a sparse description of the dominant spatiotemporal dynamics in the multivariate water quality data set. In addition, they can be used to derive hypotheses on the dominant drivers influencing water quality. Secondly, different sampling sites were compared with respect to median component values. Thirdly, time series of the components at single sites were analysed for seasonal patterns and linear and non-linear trends. Spatial and temporal heterogeneities are efficiently used as a source of information rather than being considered as noise. Besides, non-linearities are considered explicitly. The approach is especially recommended for the exploratory assessment of existing long term low frequency multivariate water quality monitoring data. We tested the approach with a large data set of stream water and groundwater quality consisting of sixteen hydrochemical variables sampled with a spatially and temporally irregular sampling scheme at 29 sites in the Uckermark region in northeast Germany from 1998 to 2009. Four components were derived and interpreted as (1) the agriculturally induced enhancement of the natural background level of solute concentration, (2) the redox sequence from reducing conditions in deep groundwater to post oxic conditions in shallow groundwater and oxic conditions in stream water, (3) the mixing ratio of deep and shallow groundwater to the streamflow and (4) sporadic events of slurry application in the agricultural practice. Dominant changes were observed for the first two components. The changing intensity of the 1st component during the course of the observation period was interpreted as response to the temporal variability of the thickness of the unsaturated zone. A steady increase of the 2nd component throughout the monitoring period at most stream water sites pointed towards progressing depletion of the denitrification capacity of the deep aquifer.

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