Studi Penutupan Lahan Hulu dan Hilir Dareah Aliran Sungai Liliba Terhadap Kuantitas Air

Daerah Aliran Sungai (DAS) Liliba secara adminitrasi terletak di 2 (dua) daerah adminitrasi yaitu Kota Kupang dan Kabupaten Kupang dengan luas 4.534 ha, panjang sungai utama 20.176,22 m. Daya dukung DAS Liliba sebagai sumberdaya alam (tanah, air, dan vegetasi) sangat dipengaruhi kondisi penutupan lahan. Penurunan kuantitas ditandai dengan semakin berkurangnya debit air pada musim kemarau,. Studi dilakukan selama bulan 3 bulan dari bulan September sampai November 2019. Perubahan penutupan lahan dianalisa berdasarkan klasifikasi penggunaan lahan di DAS Liliba tahun 2008-2018. Kuantitas air dianalisa dengan menggunakan metode Mock pada 4 titik pengamatan. Hasil studi menunjukkan penutupan lahan tipe pemukiman meningkat dari 20.39% pada tahun 2008 menjadi 48.47% pada tahun 2018. Penurunan semak belukar sebesar 19.73% pada tahun 2008 menjadi 0% pada tahun 2018. Penurunan kawasan hutan sekunder dari 15.45% pada tahun 2008 menjadi 10.14 % pada tahun 2018. Kondisi mengakibatkan berkurangnya kuantitas air Debit maksimum terjadi pada bulan Januari, yaitu 1.36 m³/dt, sedangkan debit minimum terjadi pada bulan Oktober, yaitu 0.34 m³/dt. ABSTRACTLiliba water shed locate administratively at Kupang city and district of Kupang with about 4,534 ha of wide and about 20,176.22 m of main river length. Carrying capacity of Liliba watershed as natural resources (soil, water, and vegetation) is affected strongly by land cover conditions. Decreasing in water quantity is indicated by decrease in water discharge during dry season. Study had been conducted at Liliba Water Shed during September to November 2019. Change of land cover was analyzed based on classification land use at Liliba Water Shed during 2008-2018 Water quantity was observed by Mock method at 4 locations. Result of the study showed that land cover of settlement type increased from 20.39% in 2008 to 48.47 % in 2018. Shrubs type decreased from 19.73% in 2008 to 0% in 2018. Moreover, secondary forest areas decreased from 15.45% in 2008 to 10.14% in 2018. These conditions resulted in decreasing of water quantity. Maximum water discharge was 1.36 m3/second occurred in January and minimum water discharge occurred in October was 0.34 m3/second. Meanwhile, analyzed water quality indicated a light level of pollution in all parameters measurements.

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Dynamic simulation of water resources in an urban wetland based on coupled water quantity and water quality models

Water Science & Technology ◽

10.2166/wst.2015.396 ◽

2015 ◽

Vol 72 (10) ◽

pp. 1762-1773 ◽

Cited By ~ 2

Author(s):

Weibo Zeng ◽

Youpeng Xu ◽

Xiaojun Deng ◽

Longfei Han ◽

Qianyu Zhang

Keyword(s):

Water Quality ◽

Carrying Capacity ◽

Anthropogenic Pollution ◽

River Network ◽

Water Diversion ◽

Water Quantity ◽

Class Iii ◽

Allocation Policy ◽

Xixi Wetland

Water quality in wetlands plays a huge role in maintaining the health of the wetland ecosystem. Water quality should be controlled by an appropriate water allocation policy for the protection of the wetlands. In this paper, models of rainfall/runoff, non-point source pollution load, water quantity/quality, and dynamic pollutant-carrying capacity were established to simulate the water quantity/quality of Xixi-wetland river network (in the Taihu basin, China). The simulation results showed a satisfactory agreement with field observations. Furthermore, a ‘node-river-node’ algorithm that adjusts to the ‘Three Steps Method’ was adopted to improve the dynamic pollutant-carrying capacity model and simulate the pollutant-carrying capacity in benchmark years. The simulation result shows that the water quality of the river network could reach class III stably all year round if the anthropogenic pollution is reduced to one-third of the current annual amount. Further investigation estimated the minimum amount of water diversion in benchmark years under the reasonable water quantity-regulating rule to keep water quality as class III. With comparison of the designed scale, the water diversion can be reduced by 184 million m3 for a dry year, 191 million m3 for a normal year, and 198 million m3 for a wet year.

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An investigation on the effect of land use land cover changes on surface water quantity

Water Science & Technology Water Supply ◽

10.2166/ws.2017.107 ◽

2017 ◽

Vol 18 (2) ◽

pp. 490-503 ◽

Cited By ~ 1

Author(s):

Mahsa Mirhosseini ◽

Parvin Farshchi ◽

Ali Akbar Noroozi ◽

Mahmood Shariat ◽

Ali Asghar Aalesheikh

Keyword(s):

Land Use ◽

Surface Water ◽

Land Cover ◽

River Basin ◽

River Discharge ◽

Water Discharge ◽

Water Quantity ◽

Irrigated Agriculture ◽

Land Use Land Cover ◽

Changing Trend

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.

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Performance Evaluation of Tuntang Watershed based on Quantity and Quality of Water

Forum Geografi ◽

10.23917/forgeo.v30i2.1708 ◽

2016 ◽

Vol 30 (2) ◽

pp. 176

Author(s):

Ugro Hari Murtiono ◽

Paimin Paimin

Keyword(s):

Water Quality ◽

Drinking Water ◽

Performance Evaluation ◽

Dissolved Oxygen ◽

Water Discharge ◽

Total Dissolved Solids ◽

Dry Season ◽

Water Quantity ◽

Quality Of Water

The objective of the study was to evaluate the performance of Tuntang Catchment based on water quantity and quality area ranging from its upstream to downstream. The method used to determine the water quantity was by carrying out ground study on water discharge in the dry season (June 2011) in the research site, while the water quality was determined by conducting a laboratory analysis on the samples obtained from the sites in both the rainy and dry season (January and June 2011). The results indicated that the quantity of water discharge in Tuntang River was categorized “good”, although it was utilized for many uses such as irrigation, hydropower, and drinking water. Most of water discharges were mainly supplied from the upstream of Rawa Pening Lake. The water quality determined from the parameters of total dissolved solids, conductivity, pH, phosphate, and nitrate could be classified as “good”, meanwhile, the turbidity and dissolved oxygen were classified as “poor”.

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Analisis daya tampung beban pencemaran Sungai Kampar Kiri Kabupaten Kampar Provinsi Riau

Jurnal Zona ◽

10.52364/jz.v1i2.9 ◽

2021 ◽

Vol 1 (2) ◽

pp. 52-64

Author(s):

Muhammad Hidayatuddin ◽

Usman M Tang ◽

Rifardi Rifardi

Keyword(s):

Water Quality ◽

Carrying Capacity ◽

Oxygen Demand ◽

Quality Data ◽

Load Carrying Capacity ◽

Pollution Load ◽

Water Quality Data ◽

Main River ◽

Load Carrying ◽

Pollutant Sources

The objectives of this study are to identify the pollutant sources location, analyze pollution load and pollution load carrying capacity of BOD (Biologycal Oxygen Demand), COD (Chemical Oxygen Demand) and TSS (Total Suspended Solid) concentrations; The QUAL2Kw methods application for modeling process of the main river were divided into nine reach, where Sibayang River (kilometre 86,629) as the headwater and Mentulik village as the downstream boundaries (km 0). The water samples where selected at ten points, with five of them are located at the main river and the rest of five at the tributaries. The modeling used water quality data on pollutant sources as input and the main river water quality data as a comparison.Based on the results of the study, total pollution load of BOD are 4,83 Tons/hour and total pollution load carrying capacity of BOD are 2,65 Tons/hour, it means a pollution load carrying capacity for BOD has been exceeded for 2,18 Tons/hour. The total pollution load of COD are 8,16 Tons/hour and total pollution load carrying capacity of COD are 8,45 Tons/hour, it means a pollution load carrying capacity for COD has not been exceeded and the main river still capable to recieve the pollution load of COD for 0,29 Tons/hour. Total pollution load of TSS are 55,90 Tons/hour and total pollution load carrying capacity of TSS are 12,45 Tons/hour, it means a pollution load carrying capacity for TSS has been exceeded for 43,45 Tons/hour. Generally total pollution load carrying capacity of BOD and TSS has been exceeded, and a total pollution load carrying capacity for COD has not been exceeded, nevertheless if review is based on river reach, an excessing of BOD pollution load has been occurred at km 18 - 1 for 1, 37 Tons/hour, COD pollution load for 2, 38 Tons/hour at km 45 - 40 and TSS pollution load for 32, 54 Tons/hour in the Teso River

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PERBEDAAN TUTUPAN LAHAN TERHADAP TINGGI MUKA AIR SUMUR GALI DI DESA SUMBER BARU KECAMATAN ANGSANA KABUPATEN TANAH BUMBU

Jurnal Sylva Scienteae ◽

10.20527/jss.v4i3.3755 ◽

2021 ◽

Vol 4 (3) ◽

pp. 532

Author(s):

Siami Muslikhah ◽

Muhammad Ruslan ◽

Badaruddin Badaruddin

Keyword(s):

Land Cover ◽

Water Level ◽

Oil Palm ◽

Random Sampling ◽

Rainy Season ◽

Water Discharge ◽

Water Quantity ◽

Well Water ◽

Dug Wells ◽

Dug Well

The purpose of this study is to analyze the difference in land cover to the water level of dug wells with different distances. This research was conducted by interviewing respondents using the Random Sampling method. Based on the results of observations of dug wells in the field before the oil palm plantations, the dug well water did not dry up during the dry season, both on PKS 1 land cover, PKS 2, and mixed gardens, whereas during the rainy season the water conditions at dug wells were very good at all land cover. And the condition of dug well water after the existence of oil palm plantations has decreased the quantity of well water, the results in the dry season showed a decrease in water level. In the rainy season there is an increase in water level from 1- 4 m. Measurement of dug well water discharge from settlement to oil palm plantations with PKS 1 land cover has the highest water discharge 0.24 m3 / hour, PKS 2 has the highest water discharge 1.01 m3 / hour, and mixed gardens have the highest water discharge 2.34 m3 / hour. The highest well water quantity in PKS 1 is 12.19 m, in PKS 2 the highest well water quantity is 14.36 m, while in mixed gardens the highest well water quantity is 12.31 m. Observation of water quality refers to 4 parameters namely color, odor, taste and pH of water. From the results of observations of dug well water on PKS 1, PKS 2 land cover, and mixed water gardens that are colorless (clear, clean), odorless, tasteless and water pH reaches 5-6.Tujuan dari penelitian ini adalah menganalisis perbedaan tutupan lahan terhadap tinggi muka air sumur gali dengan jarak yang berbeda. Penelitian ini dilakukan dengan wawancara responden menggunakan metode Random Sampling. Berdasarkan Hasil pengamatan sumur gali di lapangan pada saat sebelum ada perkebunan sawit keadaan air sumur gali tidak kering di saat musim kemarau baik pada tutupan lahan PKS 1, PKS 2, dan kebun campuran, sedangkan pada saat musim penghujan keadaan air di sumur gali sangat baik di semua tutupan lahan. Dan keadaan air sumur gali setelah adanya perkebunan kelapa sawit mengalami penurunan kuantitas air sumur, hasil pada musim kemarau menunjukkan adanya penurunan tinggi muka air. Pada musim hujan terjadi kenaikan tinggi muka air dari 1- 4 m. Pengukuran debit air sumur gali dari pemukiman ke perkebunan kelapa sawit dengan tutupan lahan PKS 1 memiliki debit air tertinggi 0,24 m3/jam, PKS 2 memiliki debit air tertinggi 1,01 m3/jam, dan kebun campuran memiliki debit air tertinggi 2,34 m3/jam. Kuantitas air sumur tertinggi pada PKS 1 yaitu 12,19 m, pada PKS 2 kuantitas air sumur tertinggi yaitu 14,36 m, sedangkan pada kebun campuran kuantitas air sumur tertinggi yaitu 12,31 m. Pengamatan kualitas air mengacu pada 4 parameter yaitu warna, bau, rasa dan pH air. Dari hasil pengamatan air sumur gali pada tutupan lahan PKS 1, PKS 2, dan kebun campuran air tidak berwarna (jernih, bersih), tidak ber Bau, tidak memiliki rasa dan pH air mencapai 5–6.

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Climate–Water–Ecosystem–Interactions: Insights from Four Continent’s Case Studies

Water ◽

10.3390/w12051445 ◽

2020 ◽

Vol 12 (5) ◽

pp. 1445

Author(s):

Diego Copetti ◽

Franco Salerno

Keyword(s):

Climate Change ◽

Water Quality ◽

Land Cover ◽

Case Studies ◽

Extreme Weather Events ◽

Water Quantity ◽

Water Supply Systems ◽

N2o Emissions ◽

Special Issue ◽

Economic Implications

The interaction of climate with aquatic ecosystems is a multidisciplinary field of research involving water quantity and quality issues and having strong socio-economic implications. This special issue hosts 10 studies undertaken in 7 countries of 4 continents: Asia, Africa, Europe, and North America. The issue provides a wide spectrum of natural and artificial case-studies and covers a broad range of climatic conditions. Most of the studies adopted a modelling (50%) or a field (40%) approach and focused on water-quantity (60%), while the remaining were equally subdivided between water-quality and biogeochemistry. Forty percent of the papers directly face climate change. The diversity of approaches and case studies is the main aspect characterizing this special issue. Despite this high diversification, in relation to water-quantity related issues, we can identify the following messages: high attention to extreme meteorological events, drought in particular, even in regions once considered rich in water (e.g., northern Italy); fragility of agricultural and water supply systems in the face of extreme weather events, in particular in low-income countries (e.g., Madagascar); more attention to climate change compared to land cover/use change but importance of natural land cover to efficiently face the incoming climate change, in particular, in agriculture ecosystems. From a water quality biogeochemistry point of view, we can point out: sensitivity of lakes to climate change with the risk of biodiversity loss; need to reduce nutrient loads to mitigate eutrophication related problems, exacerbated by climate change; in particular, reduction of nitrogen loads from agriculture run-off, to reduce N2O emissions in large-shallow Chinese environments.

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