Increasing Population Growth Research Articles

Impact of Variation in Climatic Changes in Concentration of Lead & Nickel in Yamuna River Water, Delhi, India

The Yamuna River A tributary of the Ganga river is one of India's most well-known and important rivers. Regrettably, numerous sections of the Yamuna River are heavily polluted, including many metropolitan areas like Prayagraj, Agra, Delhi etc. Water pollution with lead is a long-term problem. Rural and urban expansion, as well as rapid industrial development, are key sources of lead poisoning in lakes, rivers, groundwater, and other water sources as a result of increased population growth. Water samples were taken from each of the five sampling locations. Samples were taken throughout the course of a whole 2019 year, from January to December, with a 20–25-day break between them, with climate variation as a primary factor. Water sample were analysed by Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Atomic Absorption Spectroscopy (AAS) were used to quantify the content of lead (Pb) in water from the Yamuna in Delhi. When results were compared to the WHO permissible limits of Lead (Pb) and Nickel (Ni) in water, they were found to be greater. It can be observed that the concentration increases as the temperature rises and the humidity falls. Lead and nickel are both very poisonous in nature, and human and animal exposure to these heavy metals through water can cause chronic intoxication, which can be fatal.

The prominent factors of the selection of injecting contraception equipment in women of childbearing age in Yogyakarta

Introduction: The increasing population growth has prompted the government to launch a family planning program. One of the family planning programs is the use of contraceptives. The government provides various contraceptives, one of which is injection contraception. Multiple factors influence the choice of injection contraceptives. The objective of this study was to analyze the factors that influence the choice of injection contraceptives for women of childbearing age (WCA).Methods: This study used a qualitative research method with a descriptive-analytic approach. The research respondents were nine people. The sampling technique was purposive sampling. This research was conducted on January 22 – February 06, 2021, in Brajan hamlet, Bantul. The instruments used in this study were interview guides, field notes and voice recorders.Results: There were six themes related to the factors influencing the choice of injection contraceptive methods for women of childbearing age in Brajan, Tamantirto, Kasihan, Bantul, Special Region of Yogyakarta. Mother's experience while using injectable contraceptives, mother's perception of injection contraceptive use, social support for mothers in choosing injectable contraceptives, advantages of injection contraceptives, sources of information related to injection contraception, mother's motivation to choose injectable contraceptives.Conclusion: The conclusion of this study is the mother's experience of using injectable contraceptives is comfortable and safe, mother's perception of injection contraceptives, mothers view that injection contraceptives have advantages, mild side effects, and easy installation methods, social support for mothers in choosing injection contraceptives is obtained from the help of their husbands, the experience of friends who use injectable contraceptives and the participation of midwives in choosing them, the advantages of injectable contraceptives include common side effects, low cost, easy installation, and safe breastfeeding, sources of information related to injection contraception are obtained from health workers, social media, relatives and friends, and than mother’s motivation to choose injectable contraceptives is to delay or regulate pregnancy spacing, provide comfort during use, and maintain a healthy body condition.

PHYSIOLOGICAL ANSWERS to METAL TRIGGERED EFFECTS in CROPS

Environmental pollution is one of the most important concerns for today's people. The increasing population growth in the world, together with the industrial revolution and its side effects, brings along the risk of reaching healthy food for every newborn and existing population. Contamination and/or accumulation of heavy metals, known as the source of oxidative stress, in foodstuffs and the environment directly affects human health. Since plants are often the first recipients of heavy metals from different environments (such as air, water and soil), it is not surprising that this results in scary scenarios for all living organisms. Therefore, to determine and dispose of the possible downsides in human diet which relates to heavy metals, we examined whether physiological parameters are reliable indicators of oxidative stress in different crop plants. Either with single or combined CdCl2 and PbCl2 treatments, germination percentage, root and shoot lengths and water contents were measured in the roots and shoots of Triticum aestivum cv. Gerek and Hordeum vulgare cv. Çıldır varieties in this study. According to obtained results, it is concluded that heavy metal treatments trigger the oxidative stress in plants, as all parameters measured are dramatically decreased.

Effect of atom transfer radical polymerization reaction time on PCB binding capacities of Styrene-CMA/QMA Core-Shell iron oxide nanoparticles

Water pollution continues to be one of the greatest challenges humankind faces worldwide. Increasing population growth, fast industrialization and modernization risk the worsening of water accessibility and quality in the coming years. Nanoadsorbents have steadily gained attention as remediation technologies that can meet stringent water quality demands. In this work, core–shell magnetic nanoparticles (MNPs) comprised of an iron oxide magnetic core and a styrene based polymer shell were synthesized via surface initiated atom transfer radical polymerization (SI-ATRP) and characterized for their binding of polychlorinated biphenyls (PCBs), as model organic contaminants. Acrylated plant derived polyphenols, curcumin multiacrylate (CMA) and quercetin multiacrylate (QMA), and divinylbenzene (DVB) were incorporated into the polymeric shell to create high affinity binding sites for PCBs. The affinity of these novel materials for PCB 126 was evaluated and fitted to the nonlinear Langmuir model to determine binding affinities (KD). The KD values obtained for all the MNP systems showed higher binding affinities for PCB 126 that carbonaceous materials, like activated carbon and graphene oxide, the most widely used adsorption materials for water remediation today. The effect of increasing ATRP reaction time on the binding affinity of MNPs demonstrated the ability to tune polymer shell thickness by modifying the reaction extent and initial crosslinker concentrations in order to maximize pollutant binding. The enhancement in binding affinity and capacity for PCB 126 was demonstrated by the use of hydrophobic, aromatic rich molecules like styrene, CMA, QMA and DVB, within the polymeric shell provides more sites for π-π interactions to occur between the MNP surface and the PCB molecules. Overall, the high affinities for PCBs, as model organic pollutants, and magnetic capabilities of the core–shell MNPs synthesized provide a strong rationale for their application as nanoadsorbents in the environmental remediation of specific harmful contaminants.

Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping

CONTEXTIndia's increasing population growth and unsystematic land cover transformation have led to land degradation and a decline in agricultural production. To achieve optimum advantage from the land, proper exploitation of its resources is necessary. Remote sensing, advanced fuzzy logic, and multi-criteria decision-making like analytical hierarchy process (AHP) integrated agricultural land suitability analysis (ALAS) may facilitate identifying and formulating effective agricultural management strategies required for smart agriculture. OBJECTIVESThe present study was conducted to construct India's robust agricultural suitability model by developing hybrid fuzzy logic and the AHP based model. METHODSFourteen topographical, climatological, soil-related, land-use, and land-cover-related factors were prepared and employed to model agricultural suitability. Agricultural suitability models predicted multi-parameters based agricultural suitable zones for the entire country using three fuzzy operators (AND, Gamma 0.8, Gamma 0.9) and a hybrid fuzzy-AHP model. Sensitivity analysis was conducted to test the models' reliability using Moris technique-based global sensitivity analysis, random forest (RF), and correlation coefficient. The best agricultural suitable model was compared with the production of major crops in India. RESULTS AND CONCLUSIONSResults showed that 19.8% of the study area was permanently not suitable in the northernmost region, 19.7% was currently not suitable in the northernmost region, while 20.1% and 20.2% areas were predicted as moderately suitable and highly suitable zones, respectively. The rainfall, elevation, slopes, evapotranspiration, and aridity index had a prime influence on the output of the agricultural suitability model. SIGNIFICANCEThe adopted method and its application processes can analyze agricultural land suitability and recommend optimal farming methods. It is also comprehended as a promising option for meeting food, nutrition, energy, and job demands while still protecting our threatened environment.

Model of the Importance of Socio-Cultural in Waste Management on Penyengat Island

The main problem of waste management in Penyengat Island is the increasing population growth and increasing volume of waste and limited land so that it is difficult to carry out waste management using the final waste treatment site because it has a large potential for pollution. The low level of public awareness in managing household waste is caused by the community's social, economic, and cultural conditions. This study designs Model of the Importance of Socio-Cultural in Waste Management on Penyengat Island. This research method is an analytical survey with a cross-sectional design, the community subjects who live in Penyengat Island with a sample size of 270 people, taken by random sampling. Data analysis using chi-square test and logistic regression. Logical regression equation model in (p/(1-p)) - 1,614 + 0,505 (place of residence) + 0.642 (local wisdom). Waste management needs cultural values that already exist and should be maintained as part of one's identity and efforts to maintain the balance of nature and the environment. It is also necessary to conduct a policy study regarding the island's waste management program with a socio-cultural value approach.

Predicting Source Populations of Vagrants Using Breeding Population Data: A Case Study of the Lesser Black-Backed Gull (Larus fuscus)

Vagrancy is critical in facilitating range expansion and colonization through exploration and occupation of potentially suitable habitat. Uncovering origins of vagrants will help us better understand not only species-specific vagrant movements, but how the dynamics of a naturally growing population influence vagrancy, and potentially lead to range expansion. Under the premise that occurrence of vagrants is linked to increasing population growth in the core of the breeding range, we assessed the utility of breeding population survey data to predict source populations of vagrants. Lesser Black-backed Gulls (LBBG) (Larus fuscus) served as our focal species due to their dramatic and well-documented history of vagrancy to North America in the last 30 years. We related annual occurrence of vagrants to indices of breeding population size and growth rate of breeding populations. We propose that the fastest growing population is the most likely source of recent vagrants to North America. Our study shows that it is possible to predict potential source populations of vagrants with breeding population data, but breeding surveys require increased standardization across years to improve models. For the Lesser Black-backed Gull, Iceland’s breeding population likely influenced vagrancy during the early years of colonization, but the major increase in vagrants occurred during a period of growth of Greenland’s population, suggesting that Greenland is the source population of the most recent pulse of vagrant LBBG to North America.

Optimization of wind/solar energy microgrid by division algorithm considering human health and environmental impacts for power-water cogeneration

Although freshwater is necessary for the well-being of humankind, increasing population growth and limited resources lead to a serious crisis to supply freshwater. Since the Earth is surrounded by seawater, desalination based on electrical power is introduced as a promising technology to provide freshwater. It is well documented that the connection of remote areas that usually do not have access to freshwater into the electricity grid is not affordable and eco-friendly. Hence, the efforts to design and construct high reliability, cost-effective, and eco-friendly stand-alone hybrid renewable energy system in remote areas. In line with this, this paper describes a novel energy management system for the optimized operation of a stand-alone hybrid energy system based on photovoltaic panels, wind turbines, batteries, and diesel generator. For this purpose, a multi-objective optimization problem is formulated by combining three objective functions, i.e., minimum the total life cycle cost as well as environmental impacts on human health and ecosystems and the maximum system reliability that can conflict with each. To solve the multi-objective optimization problem, a division algorithm is proposed that is more flexible and faster compared with conventional algorithms such as genetic algorithm. In order to show the proposed framework, a real case study in Larak Island, Iran, with appropriate solar and wind is considered. The effectiveness of the applied approach compared with optimization results of genetic algorithm and the artificial bee swarm optimization algorithm that was previously used successfully to solve optimization problems related to desalination integrated with the renewable energy system. The optimization is performed based on different diesel fuel price amounts (0.2, 0.5, and 1 $/liter). It is seen that at fuel price set to 0.2 and 0.5 $/liter, the seawater reverses osmosis desalination/photovoltaic/diesel generator/battery is the most cost-effective energy system, and when fuel price is 1 $/liter, the seawater reverses osmosis desalination/photovoltaic/wind turbine/diesel generator/battery is the most cost-effective hybrid system. While at fuel price set to 0.2, 0.5, and 1 $/liter, the seawater reverse osmosis desalination /photovoltaic/wind turbine/diesel generator/battery is the most eco-friendly. Finally, the results of this study show proposed algorithm is faster and more accurate (100 iterations, 98.36% accuracy) than the genetic algorithm (1000 iterations, 83.03% accuracy) and the artificial bee swarm optimization (300 iterations, 95.49% accuracy).

Increasing temperature weakens the positive effect of genetic diversity on population growth.

Genetic diversity and temperature increases associated with global climate change are known to independently influence population growth and extinction risk. Whether increasing temperature may influence the effect of genetic diversity on population growth, however, is not known. We address this issue in the model protist system Tetrahymena thermophila. We test the hypothesis that at temperatures closer to the species’ thermal optimum (i.e., the temperature at which population growth is maximal, or T opt), genetic diversity should have a weaker effect on population growth compared to temperatures away from the thermal optimum. To do so, we grew populations of T. thermophila with varying levels of genetic diversity at increasingly warmer temperatures and quantified their intrinsic population growth rate, r. We found that genetic diversity increases population growth at cooler temperatures, but that as temperature increases, this effect weakens. We also show that a combination of changes in the amount of expressed genetic diversity (G) in r, plastic changes in population growth across temperatures (E), and strong G × E interactions underlie this temperature effect. Our results uncover important but largely overlooked temperature effects that have implications for the management of small populations with depauperate genetic stocks in an increasingly warming world.

Assessment of oral health related quality of life among elderly people in nursing homes in Karaj in 2020

Introduction: Quality of life is one of the new concepts of health, which encompasses different aspects of life such as oral health. The oral health related quality of life is affected by different factors that assessed in different groups. Due to increasing population growth and the existence of special physical, psychological and social conditions, elderly are one of the important groups. So, the present study aimed to assess the oral health related quality of life among elderly people who lived in nursing centers in Karaj, in 2020. Methods: In this cross-sectional analytic study, oral health related quality of life among elderly people above 60 years in Karaj were evaluated using a questionnaire including demographic information, oral health behaviors and Geriatric Oral Health Assessment Index (GOHAI). Data were analyzed using T-test, one-way ANOVA and linear regression test by SPSS-22 software. Results: A total of 149 people were participated, which 62.4% (93) were female and 37.6% (56) were male. The mean GOHAI in participants of this study was 46.05±6.52 (from 12-60 point). The regression test showed the relationship between the score of different dimensions of GOHAI with age, gender, income, and subjective assessment of oral health, last dental examinations and the number of teeth (P<0.05). Conclusion: In this study, the oral health related quality of life among the elderly people who lived in nursing homes in Karaj in 2020 was evaluated moderate and good.

Kajian Karakteristik Tata Guna Lahan dan Harga Tanah pada Kawasan Perdagangan di Kecamatan Muntilan

The economic growth of an area is closely related to population growth. The increasing population growth has implications for the level of economic activity of the people. Economic activity in an area can spread or agglomerate at certain points. Its growth can also be organic as is the case in the Trading Area in Muntilan District. This area extends along the primary arterial road or Ribbon Development along Jogja-Magelang Streets which connects Magelang City, Magelang Regency, Special Region of Yogyakarta. Trading areas are in the form of traditional markets, modern markets, shops, markets, squares, minimarkets, and others. Around this area, it is also equipped with various basic infrastructure and supporting facilities to meet the daily needs of society such as religious facilities, educational facilities, government facilities and public services, open space facilities, and important transportation objects. This is why it is interesting to examine the relationship between land use and the price of land offered in this trading area in Muntilan District. The method used in this study uses quantitative approaches with data obtained through observation, secondary surveys, and interviews through questionnaires. The analysis used is descriptive method and applies a superimpose process in the Geospatial Information System or Overlay. The results showed that the type of land use and the distance to the trading area determine variations in land prices.

Interspecific Hybridization and Complete Mitochondrial Genome Analysis of Two Ghost Moth Species.

Simple SummaryThe Chinese cordyceps is a valuable parasitic Ophiocordyceps sinensis fungus–Thitarodes/Hepialus larva complex. In view of culturing this complex, a method for the artificial rearing of the Thitarodes/Hepialus ghost moth hosts was established. Deterioration of the host insect population and low mummification rates in infected larvae constrain effective cultivation. Hybridization of Thitarodes/Hepialus populations may overcome this problem. Thitarodes shambalaensis and Thitarodes sp. were inbred or hybridized, and the biological parameters, larval sensitivity to the fungal infection and mitochondrial genomes of the resulting populations were investigated. Hybridization of T. shambalaensis and Thitarodes sp. allowed producing a new generation. One hybrid population (T. shambalaensis females mated with Thitarodes sp. males) showed increased population growth as compared with the parental Thitarodes sp. population. The sensitivity of the inbred larval populations to four fungal isolates of O. sinensis differed. The complete mitochondrial genomes of T. shambalaensis, Thitarodes sp. and the hybrid population were 15,612 bp, 15,389 bp and 15,496 bp in length, respectively. A + T-rich regions were variable in sizes and repetitive sequences. The hybrid population was located in the same clade with T. shambalaensis, implying the maternal inheritance of mitochondrial DNA.The Chinese cordyceps, a parasitic Ophiocordyceps sinensis fungus–Thitarodes/Hepialus larva complex, is a valuable biological resource endemic to the Tibetan Plateau. Protection of the Plateau environment and huge market demand make it necessary to culture this complex in an artificial system. A method for the large-scale artificial rearing of the Thitarodes/Hepialus insect host has been established. However, the deterioration of the insect rearing population and low mummification of the infected larvae by the fungus constrain effective commercial cultivation. Hybridization of Thitarodes/Hepialus populations may be needed to overcome this problem. The species T. shambalaensis (GG♂ × GG♀) and an undescribed Thitarodes species (SD♂ × SD♀) were inbred or hybridized to evaluate the biological parameters, larval sensitivity to the fungal infection and mitochondrial genomes of the resulting populations. The two parental Thitarodes species exhibited significant differences in adult fresh weights and body lengths but not in pupal emergence rates. Hybridization of T. shambalaensis and Thitarodes sp. allowed producing a new generation. The SD♂ × GG♀ population showed a higher population trend index than the SD♂ × SD♀ population, implying increased population growth compared with the male parent. The sensitivity of the inbred larval populations to four fungal isolates of O. sinensis also differed. This provides possibilities to create Thitarodes/Hepialus populations with increased growth potential for the improved artificial production of the insect hosts. The mitochondrial genomes of GG♂ × GG♀, SD♂ × SD♀ and SD♂ × GG♀ were 15,612 bp, 15,389 bp and 15,496 bp in length, with an A + T content of 80.92%, 82.35% and 80.87%, respectively. The A + T-rich region contains 787 bp with two 114 bp repetitive sequences, 554 bp without repetitive sequences and 673 bp without repetitive sequences in GG♂ × GG♀, SD♂ × SD♀ and SD♂ × GG♀, respectively. The hybrid population (SD♂ × GG♀) was located in the same clade with GG♂ × GG♀, based on the phylogenetic tree constructed by 13 PCGs, implying the maternal inheritance of mitochondrial DNA.

Impact of sewage water irrigation on agricultural soil

The rapidly increasing population growth and the steady increase in water requirements for agricultural and industrial development have placed severe stress on the water resources available and the long term use of sewage water for irrigation highly affects soil properties. In this study soil samples were collected from a cauliflower field prior and after sewage water irrigation, and the impact of sewage water irrigation on physical, chemical, and biological properties of soil was compared. For this, tested were pH, Electrical Conductivity (EC), Organic Carbon, available Nitrogen, Phosphorus, Potassium, Calcium, Magnesium, Zinc, Iron, Copper, Manganese, and microbial activity. Soil microbial biomass carbon, basal soil respiration, total viable count of bacteria, coliform population, Pseudomonas species, and Azotobacter significantly increased after sewage water irrigation as compared to prior to irrigation. Nevertheless, the bulk density and Rhizobium species of the soil flooded with sewage water was decreased relative to the same characteristics prior to irrigation. Cauliflower yield was significantly increased when sewage water flooded field as compared to the tube well water flooded field (i.e., water delivered via an iron pipe). Escherichia coli contamination was greater in sewage water and groundwater that can pose health risks for the nearby communities, to farmers and consumer of farm products. Hence, the efficient use of sewage and municipal wastewater successfully increase water resource for irrigation and may help in expanding agricultural production. But excessive use of sewage water may also affect the soil flora and fertility.

Analysis of groundwater quality in Cimahi City of West Java Province

Cimahi City is currently experiencing a clean water crisis, the cause of which is increasing population growth, so that water needs increase and land conversion, which results in reduced groundwater infiltration. The primary source of clean water in this city is groundwater. Population growth and residential development have an impact on pollution originating from domestic waste. These two things cause the quality and quantity of groundwater in Cimahi City to be increasingly critical. This study aims to analyze the quality of groundwater used by residents of Cimahi City. The data used is secondary data from the Environmental Service in 2019. Sampling was carried out at thirty points in Cimahi City spread over 14 urban villages, namely Citereup, Pasir Kaliki, Cibereum, Cibabat, Cipageran, Cimahi, Leuwigajah, Setiamanah, Karang Mekar, Cibeber, Melong, Cigugur, Padasuka, and Utama. The number of sampling is 1-2 samples/urban village. Based on the results of the analysis of parameters that do not exceed the required quality standards based on the Regulation of the Minister of Health of the Republic of Indonesia No. 32 of 2017 concerning the requirements and supervision of pristine water quality, namely: turbidity, Manganese, nitrate, detergent as MBAS, and total coliform. Based on the results of calculations with the water quality index, it is stated that the quality of groundwater in Cimahi City is in the normal-poor category.

Protection of biodiversity in concession of sustainable palm oil

The increasing population growth is in line with the increasing world demand for vegetable oil. In 2050, the world population is projected to reach 9.8 billion people. With this population, the world’s vegetable oil needs reach 310 million tons. Total vegetable oil production in 2018 was only 200.8 million tons. The oil crops biologically have a potential to produce vegetable oil much more than with other plants in the same area of land. It means that it is economically more efficient than others. However, an unavoidable fact is that the expansion of oil palm plantations in Indonesia has encroached on forest areas, destroying biodiversity, and threatening environmental sustainability. Of the 9.1 million hectares of deforestation occurred in 2001 to 2016, 2.1 million hectares or 23% of the national deforestation turned to oil palm. In addition, of the 16.8 million hectares of Indonesian palm oil cover, 3.4 million hectares or 20.2% of oil palms are in forest areas. This article aims to diagnose the norms of biodiversity protection with the approach of protecting high conservation value areas and high carbon stocks in oil palm plantation concessions. Normatively referring to the concept of sustainable palm oil plantations, companies are obliged to protect areas that have high biodiversity values and high carbon stocks in their concession areas and are prohibited from being converted. This norm is very important to protect biodiversity in oil palm concessions. Unfortunately, Indonesia’s positive law does not yet have an optimal legal framework to protect this area, so it is necessary to strengthen specific norms and policies to protect biodiversity in sustainable palm oil plantation concessions.

Groundwater Mapping of Total Coliform Contamination in Sleman, Yogyakarta, Indonesia

Groundwater is a pivotal resource to supply clean and drinking water besides surface water. In Indonesia, there are various issues regarding groundwater quality and quantity. By increasing population growth has an impact on groundwater quality, such as generated pathogen contamination. To prevent groundwater pollution was used sanitation facilities were called communal WWTPs. Unfortunately, most WWTPs were not performing optimal, and some had already stopped operating. This study aimed to display groundwater quality using the Inverse Distance Weighting (IDW) for 2018 to 2019 in the Sleman Region of Yogyakarta Province. The spatial analysis was completed by observation and interview methods. The total coliform number was measured from 29 monitoring wells. The results explained that compared to 2018, groundwater quality in 2019 showed a decrease in contamination by pathogenic bacteria. Groundwater flows also shown the spread of contamination from north to the south area. The distance between monitoring well and septic tank or WWTPs outlet, depth, and the physical condition were substantial factors for spreading the contamination.

The effect of land-use change on river watershed quality (case study: Cimahi Watershed, West Java, Indonesia)

Increasing population growth is one of the impacts of the growth of a city or district in an area. This also happened in the Cimahi watershed area. As the population grows, so does the need for land which increases the land-use change in the Cimahi watershed. Land-use changes will affect the surrounding environment and one of them is the river, especially river water quality. As a watershed area, there is one main river that is the source of life as well as the Cimahi watershed, whose main river is the Cimahi River. The purpose of this study was calculated the relationship between land-use change in the Cimahi watershed and the water quality parameters of the Cimahi River. The correlation between the two was calculated using Pearson correlation. Water quality parameters can be seen based on BOD and DO values. BOD and DO values are the opposite because good water quality has high DO values and low BOD values. The correlation between land-use change and BOD was 0.328 is in the area of settlements area. In contrast, to DO values, an increase in settlements/industrial zones will further reduce DO values so that both have a negative correlation, which is indicated by a value of -0,535. The correlation between settlements with pH and temperature values is 0.664 and 0.812. While the correlation between settlements with TSS and TDS values are 0.333 and 0.529, respectively. In this study, it can be seen that there is a relationship between the decline in water quality and changes in land use.

The Study of Clean Water Demand in Palangka Raya City, Central Kalimantan

Palangka Raya as the capital city of Central Kalimantan become the center lane economy leading to increase population growth and clean water demand. There are still areas experiencing water shortage problems because of the difficulty of distributing clean water. Objectives of this study were to determine the amount of water demand in 2016, 2020, 2025, 2030 and 2035 to fulfill the community requirements. Water quality and supply capacity at the intake system are also be the purposes of this study. In this study, the calculation of population projections using statistical methods in which to observe the rate of population growth of the past to estimate the number of people in the future. There are several methods that can be used to analyze the population growth in the future, specifically Arithmetic, Geometric, Linear Regression, Exponential, and Logarithmic. For water quality field survey was conducted to test parameters such as temperature, electrical conductivity, the amount of dissolved solids, pH, turbidity, salinity, and dissolved oxygen measurements. The method in this research was using Arithmetic method because the correlation can be said to be excellent compared to other methods. Results of this research were clean water demand discharge town of Palangka Raya with consecutive results as follows in 2016; 2020; 2025; 2030; 2035 amounted to 451.03 L/sec, 737.14 L/sec, 1,162.34 L/sec, 1,425.83 L/sec, 1,571.12 L/sec. In the aspect of water quality, source of raw water used PDAM Palangka Raya unqualified the standards in terms of pH value, so the use of water was not safe for the residents of Palangka Raya city.

Warming increased bark beetle-induced tree mortality by 30% during an extreme drought in California.

Quantifying the responses of forest disturbances to climate warming is critical to our understanding of carbon cycles and energy balances of the Earth system. The impact of warming on bark beetle outbreaks is complex as multiple drivers of these events may respond differently to warming. Using a novel model of bark beetle biology and host tree interactions, we assessed how contemporary warming affected western pine beetle (Dendroctonus brevicomis) populations and mortality of its host, ponderosa pine (Pinus ponderosa), during an extreme drought in the Sierra Nevada, California, United States. When compared with the field data, our model captured the western pine beetle flight timing and rates of ponderosa pine mortality observed during the drought. In assessing the influence of temperature on western pine beetles, we found that contemporary warming increased the development rate of the western pine beetle and decreased the overwinter mortality rate of western pine beetle larvae leading to increased population growth during periods of lowered tree defense. We attribute a 29.9% (95% CI: 29.4%-30.2%) increase in ponderosa pine mortality during drought directly to increases in western pine beetle voltinism (i.e., associated with increased development rates of western pine beetle) and, to a much lesser extent, reductions in overwintering mortality. These findings, along with other studies, suggest each degree (°C) increase in temperature may have increased the number of ponderosa pine killed by upwards of 35%-40% °C-1 if the effects of compromised tree defenses (15%-20%) and increased western pine beetle populations (20%) are additive. Due to the warming ability to considerably increase mortality through the mechanism of bark beetle populations, models need to consider climate's influence on both host tree stress and the bark beetle population dynamics when determining future levels of tree mortality.

RANCANG BANGUN SISTEM INFORMASI “GO-SIP” BERBASIS WEB DI DINAS LINGKUNGAN HIDUP KABUPATEN SUMBAWA

With the advancement of information technology, the need for accurate information is very highneeded, because information will be an important element incurrent and future development of society. Garbage isconsequences of human activities are so diverse. Amount or volume of wastedirectly proportional to the level of consumption of goods that we use everyday.Handling waste with the old system still causes various problems plusThe increasing population growth results in the amount of wastethe output is also great. The purpose of this thesis research is to analyze the systemwaste management at the Sumbawa district environmental office, designingan information system to address the waste problem in Sumbawa district, anddesigning a Go-SIP (government samawa clean garbage) information system in the districtSumbawa. The final result of this thesis research is the "Go-SIP" Information SystemBased on the website of the Sumbawa Regency Environmental Service, which can helpthe community and staff at the Environmental Service to be able to complete their dutiesaccurately.