Analysis of plant pattern using water balance and cimogram based on oldeman climate type

Caraka, Rezzy Eko; Tahmid, Muhammad; Putra, Richard Mahendra; Iskandar, Akbar; Mauludin, M. Ali; Hermansah,; Goldameir, Noor Ell; Rohayani, Hetty; Pardamean, Bens

doi:10.1088/1755-1315/195/1/012001

Cited by 26 publications

(11 citation statements)

References 5 publications

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“…An average of rainfall data in the Laut Tawar Lake Catchment Area was calculated using the Thiessen Polygon Method [33,34,35]. The relationship of rainfall on the TSS in the Laut Tawar Lake was analyzed by classifying the amount of rainfall based on Dry Months, Moist Months, and Wet Months according to the Oldeman Method classification [36,37,38].…”

Section: Figure 1 the Map Of Research Locationmentioning

confidence: 99%

Influence of Rainfall and Spatial Temporal Distribution Analysis of Total Suspended Solid in Laut Tawar Lake

Adhar

Lukman²,

Khalil

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Total Suspended Solid (TSS) is a solid particle suspended in the water column of organic and inorganic materials, sized more than two micrometers. The high concentration of TSS in the waters causes a decrease in water clarity and potentially reduces dissolved oxygen that can threaten the life of aquatic biota. This study aims to analyze the spatial and temporal distribution of TSS and analyze the influence of rainfall on TSS in Laut Tawar Lake waters. The lake TSS ranged from 44 – 91 mg/L with an average of 68.67 ± 11.23 mg/L. Spatially TSS ranged from 63.17 - 73.67 mg/L and temporally ranged from 51.14 - 81.43 mg/L. The distribution of TSS was not spatially different because the lake waters are perfectly agitated. The difference in TSS was obtained temporally due to the influence of rainfall. The catchment area can be eroded by only 100 mm of rain/month. It leads to high production of TSS loading into the lake waters. It was indicated by the difference in TSS of Dry Months with TSS of Wet and Moist Months. The determinant coefficient of influence of rainfall on the TSS concentration of the lake waters is 0.62.

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Section: Figure 1 the Map Of Research Locationmentioning

confidence: 99%

Influence of Rainfall and Spatial Temporal Distribution Analysis of Total Suspended Solid in Laut Tawar Lake

Adhar

Lukman²,

Khalil

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Currently, the main imperatives for the sustainable development of agriculture include: a) increasing human and social capital of rural territories; b) stimulating innovation and technological modernization of the industry; c) conserving natural resources and preserving them for future generations (Caraka, Lee, Kurniawan, Herliansyah, Kaban, Nasution, Gio, Chen, Toharudin, and Pardamean, 2020;Caraka, Tahmid, Putra, Iskandar, Mauludin, Hermansah, Goldameir, Sustainable agricultural development requires innovations that increase the efficiency and competitiveness of the industry in the domestic and global markets (Sinha, 2019;Kheyfets and Chernova, 2019;Voronin, Chupina, Voronina, and Chupin, 2019;Kantemirova, Kuchieva, and Balikoev, 2016;Kharitonov, 2016aKharitonov, , 2016bAdenle, Wedig, and Azadi, 2019;de Gennaro and Forleo, 2019;Nikolaeva, 2014;Markova, 2013;Brinza, Ilyichev, Ugarova, and Loginova, 2015;Fedorenko, Persteneva, Konovalova, and Tokarev, 2016). Major innovations in agriculture will lead to: an increase in crop yields and livestock productivity; the growth in labor productivity and agricultural production; saving material, labor, and financial resources (Surya, Syafri, Abubakar, Sahban, and Sakti, 2020;Ponkratov, Karaev, Silvestrov, Kuznetsov, Smirnov, and Kotova, 2019).…”

Section: Introductionmentioning

confidence: 99%

Innovation as a Factor in Sustainable Development of Russia’s Agriculture

Семенова

Ivanova

Busalova

2022

Int. J. Criminol. Sociol.

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Sustainable agriculture is an integral aspect of the sustainable development of a socio-economic system. In this regard, innovation is considered to be one of the leading factors ensuring the development of sustainable agricultural since it increases the efficiency and competitiveness of the industry in the domestic and foreign markets. This study presents a system of recursive equations characterizing the innovations occurring within agricultural organizations in the regions of the Russian Federation. Additionally, the study assesses the sustainability of agricultural development in Russia by calculating the integrated index of five components: economic, innovative, social, ecological, and institutional. Also, the authors built a regression model that estimates the influence of innovation on the sustainability of agricultural development in Russia.

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“…A review by Lovarelli et al reported that parameters such as climatic conditions of plantation area, type of plantation land, and tree plant productivity significantly impact the values of the water footprint in agricultural areas for crops [8]. For example, data-driven analyses of weather patterns can be used to forecast local rainfall, which can be useful to predict green water availability in a given region [11][12][13][14][15]. Meanwhile, Suttayakul et al used crop water scenarios to analyze green, blue, and grey water footprint in several provinces in Thailand by varying the characteristics of soil [16].…”

Section: Introductionmentioning

confidence: 99%

Sustainability of the Water Footprint of Various Soil Types on Oil Palm Plantations

Safitri

Hermantoro

Kautsar

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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There are significant studies that have quantified oil palm water footprint as an indicator of environmental sustainability but an estimation of water footprint under varying soil types furthermore is still limited. The objectives of the study were to estimate whether annual variations of soil type and yields significantly effects for the oil palm water footprint. The data from three types of soil (spodosol, inceptisol, ultisol) were collected from an oil palm plantation in Pundu village, Central Kalimantan, Indonesia. To perform the water footprint analysis we utilize water balance accounting equations via application Cropwat 8.0. From that, we determine the crop irrigation scheduling to compute the blue, green, and grey water footprint of oil palm fresh fruit bunch in the area. Our analysis found that the actual evapotranspiration of spodosol and inceptisol have the same value: 1242 mm/year whilst ultisol is 1239 mm/year. The total water footprint of oil palm varied considerably with the largest value being 1310.04 m3/ton for ultisol. The actual evapotranspiration of spodosol and inceptisol have the same value of 1242 mm/year whilst ultisol is 1239 mm/year. The higher production resulted in a lower water footprint and vice versa. Moreover, the total water footprint from ultisol soil type has the highest value due to the lowest yields. The difference in evapotranspiration value resulted in the insignificant value of total water footprint. The lower water availability, the lower water use, and the higher actual irrigation requirement in oil palm plantation yet showed the unnotable impact on water footprint in different soil types for the oil palm plantation.

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Analysis of plant pattern using water balance and cimogram based on oldeman climate type

Cited by 26 publications

References 5 publications

Influence of Rainfall and Spatial Temporal Distribution Analysis of Total Suspended Solid in Laut Tawar Lake

Influence of Rainfall and Spatial Temporal Distribution Analysis of Total Suspended Solid in Laut Tawar Lake

Innovation as a Factor in Sustainable Development of Russia’s Agriculture

Sustainability of the Water Footprint of Various Soil Types on Oil Palm Plantations

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